diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg index 0606fefcbbc..923a1ea8c35 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg index 08e1562070f..a3664c649c9 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg index 5180878cf22..d0c867d1214 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg index 3f0e1651b55..89c57e7eb2b 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg index 13b44b38bdb..6fac7f2f676 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg index 35b04d78433..86fe4b4e29b 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg index 6d81f2fa2e6..7c80a438e89 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg index a09bdba79d3..451bc6af070 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg index eb31b5828fa..0a93d103495 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg index 6b3e011bd06..653577aa7af 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg index 78badaaa723..e977d0501a1 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg index 24b1f694d13..8411f393ca5 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. 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Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg index 45ebd31f0b8..1bf036c0390 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg index b1894de8efa..fb4c96f3a7a 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 million t4 million t6 million t8 million tUnited Kingdom9.31 million t9.31 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg index 2ccdd0836d3..57eefdf8d33 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg index ece10a327aa..940d596a1fa 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg index 500d75d1b05..46cab1dbb2b 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg index d91324ed3d0..80c9bbdf5dd 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg index b97ad95afc4..7003f413625 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg index 2cdb67117f9..b0950fc40cf 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg index 5365786286c..bdc7361d5d0 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg index 8a645276bb5..5f28ce0e36b 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg index bc22e8dc2a2..63a4f22eb2a 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg index 84a86b9b680..f71d84989cd 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.China11.4 billion t11.4 billion tUnited States5.06 billion t5.06 billion tIndia2.83 billion t2.83 billion tGermany665.6 million t665.6 million tBrazil483.48 million t483.48 million tUnited Kingdom318.65 million t318.65 million tFrance297.53 million t297.53 million tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg index 4b50f60ea73..2a7530b2798 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg index 83fcbe891c6..51aa6fa22f6 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg index 36d050090b7..d9468493739 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg index ff8f078b6b4..b7e463b4240 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg index 3fa6afde10b..b4613c7ca9b 100644 --- a/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg +++ b/all-views/svg/annual-co2-emissions-per-country?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v49_850x600.svg @@ -1 +1 @@ -Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Annual CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 billion t4 billion t6 billion t8 billion t10 billion tBrazil483.48 million t483.48 million tChina11.4 billion t11.4 billion tFrance297.53 million t297.53 million tGermany665.6 million t665.6 million tIndia2.83 billion t2.83 billion tUnited Kingdom318.65 million t318.65 million tUnited States5.06 billion t5.06 billion tData source: Global Carbon Budget (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg index cb2ac096e0c..fe77482ccc6 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg index a318102d8ba..d3fb015a1fa 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg index 2f0927b58de..8f79694a95f 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg index d3331734b2b..6e4e68d75b4 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg index b6d9cd9987d..33f5180387a 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg index 0092fdb9677..77609c1c5bf 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg index cf13f51558d..ae0f5a25e91 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg index bc9fe7ae4b6..695432c2325 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg index 847a303b67b..6a40f75c225 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg index 9f6f364b8ee..68e9903d8fa 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.Belgium3,483 h3,483 hSweden3,436 h3,436 hGermany3,284 h3,284 hFrance3,168 h3,168 hUnited States3,096 h3,096 hAustralia2,792 h2,792 hUnited Kingdom2,755 h2,755 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg index cdd9826b253..efbc7631fd7 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg index 7e970d00df4..dbe9aa46348 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg index d86dc18900e..9e9ea33f809 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg index 245b6ddfbfc..0966ea500be 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg index 39b8bbc58f9..d1c71d74bda 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 1870Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h500 h1,000 h1,500 h2,000 h2,500 h3,000 hAustralia2,792 h2,792 hBelgium3,483 h3,483 hFrance3,168 h3,168 hGermany3,284 h3,284 hSweden3,436 h3,436 hUnited Kingdom2,755 h2,755 hUnited States3,096 h3,096 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg index b152e055d06..f7eed0cdfdd 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg index cd0163451de..fe70d202648 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg index 8dcf861eee3..d1bc39b6a9b 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg index 31ed2d8b0f8..7c3dadcd6e2 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg index 0437f6d97bd..9501d31ccc4 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg index c10bd08b700..a6187957b25 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg index b9d758efc2f..83ab904b4ca 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg index 4fa98db2615..5a7f08b6bff 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg index 0c1e46729ed..77f169291f1 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg index 8248fe662e3..08cc79d05c6 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.United States1,757 h1,757 hAustralia1,731 h1,731 hUnited Kingdom1,670 h1,670 hSweden1,609 h1,609 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg index c32e14d3769..1aa704b4538 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg index a7cab47613c..5f092ed3b78 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg index 9d1dc73cbd1..5396185f992 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg index 584fadd96f8..bfa68ccfc37 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg index 1bfb07181c1..5e7e7040054 100644 --- a/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg +++ b/all-views/svg/annual-working-hours-per-worker?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v93_850x600.svg @@ -1 +1 @@ -Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file +Annual working hours per worker, 2017Average working hours per worker over an entire year. Before 1950 the data corresponds only to full-timeproduction workers (non-agricultural activities). Starting in 1950 estimates cover total hours worked in theeconomy as measured primarily from National Accounts data.0 h200 h400 h600 h800 h1,000 h1,200 h1,400 h1,600 hAustralia1,731 h1,731 hBelgium1,544 h1,544 hFrance1,514 h1,514 hGermany1,354 h1,354 hSweden1,609 h1,609 hUnited Kingdom1,670 h1,670 hUnited States1,757 h1,757 hData source: Huberman & Minns (2007) and PWT 9.1 (2019)Note: We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the sameunderlying source. Comparisons between countries are limited due to differences in measurement.OurWorldInData.org/working-hours | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg index df6a39de0d2..7cf3318370f 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 1, 1950Jul 2, 1950Jul 2, 1950Jul 3, 1950Jul 3, 1950Training computation (petaFLOP)0100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 1, 1950Jul 2, 1950Jul 2, 1950Jul 3, 1950Jul 3, 1950Training computation (petaFLOP)0100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg index 7a8c1787f6a..2698d27ff35 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 1, 1950Jul 2, 1950Jul 2, 1950Jul 3, 1950Jul 3, 1950Training computation (petaFLOP)<0.0000010.000011100,00010 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 1, 1950Jul 2, 1950Jul 2, 1950Jul 3, 1950Jul 3, 1950Training computation (petaFLOP)<0.0000010.000011100,00010 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg index 00b9300cc05..ca0ff53c7bf 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 22, 2020Jan 31, 2020Jan 23, 2020Jan 26, 2020Feb 10, 2020Mar 11, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 22, 2020Jan 31, 2020Jan 23, 2020Jan 26, 2020Feb 10, 2020Mar 11, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg index 1fa86751d31..101d2ec908c 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 22, 2020Jan 31, 2020Jan 23, 2020Jan 26, 2020Feb 10, 2020Mar 11, 2020Training computation (petaFLOP)100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 22, 2020Jan 31, 2020Jan 23, 2020Jan 26, 2020Feb 10, 2020Mar 11, 2020Training computation (petaFLOP)100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg index 6131545f79f..6d7f167df08 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPandemonium (morse)Pandemonium (morse)NeocognitronNeocognitronTD-GammonTD-GammonNPLMNPLMGPU DBNsGPU DBNsGPTGPTGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPandemonium (morse)Pandemonium (morse)NeocognitronNeocognitronTD-GammonTD-GammonNPLMNPLMGPU DBNsGPU DBNsGPTGPTGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v151_850x600.svg index 4ed0f1d85da..76d744988d1 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPandemonium (morse)Pandemonium (morse)NeocognitronNeocognitronTD-GammonTD-GammonNPLMNPLMGPU DBNsGPU DBNsGPTGPTGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPandemonium (morse)Pandemonium (morse)NeocognitronNeocognitronTD-GammonTD-GammonNPLMNPLMGPU DBNsGPU DBNsGPTGPTGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg index 21d3855d304..4e5e076b0d2 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)<1e-110.00000000010.000000010.0000010.00010.01110010,0001 million100 million10 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPerceptron Mark IPerceptron Mark IPandemonium (morse)Pandemonium (morse)ADALINEADALINENeocognitronNeocognitronNetTalk (dictionary)NetTalk (dictionary)TD-GammonTD-GammonNPLMNPLMBiLSTM for SpeechBiLSTM for SpeechGPU DBNsGPU DBNsKN5 LM + RNN 400/10 (WSJ)KN5 LM + RNN 400/10 (WSJ)AlexNetAlexNetSeq2Seq LSTMSeq2Seq LSTMAlphaGo LeeAlphaGo LeeXceptionXceptionAlphaGo MasterAlphaGo MasterENASENASFTWFTWPartiPartiGPT-4GPT-4Task domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)<1e-110.00000000010.000000010.0000010.00010.01110010,0001 million100 million10 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPerceptron Mark IPerceptron Mark IPandemonium (morse)Pandemonium (morse)ADALINEADALINENeocognitronNeocognitronNetTalk (dictionary)NetTalk (dictionary)TD-GammonTD-GammonNPLMNPLMBiLSTM for SpeechBiLSTM for SpeechGPU DBNsGPU DBNsKN5 LM + RNN 400/10 (WSJ)KN5 LM + RNN 400/10 (WSJ)AlexNetAlexNetSeq2Seq LSTMSeq2Seq LSTMAlphaGo LeeAlphaGo LeeXceptionXceptionAlphaGo MasterAlphaGo MasterENASENASFTWFTWPartiPartiGPT-4GPT-4Task domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v151_850x600.svg index fcc7a78c5ed..8a638a356e6 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)<1e-110.00000000010.000000010.0000010.00010.01110010,0001 million100 million10 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPerceptron Mark IPerceptron Mark IPandemonium (morse)Pandemonium (morse)ADALINEADALINENeocognitronNeocognitronNetTalk (dictionary)NetTalk (dictionary)TD-GammonTD-GammonNPLMNPLMBiLSTM for SpeechBiLSTM for SpeechGPU DBNsGPU DBNsKN5 LM + RNN 400/10 (WSJ)KN5 LM + RNN 400/10 (WSJ)AlexNetAlexNetSeq2Seq LSTMSeq2Seq LSTMAlphaGo LeeAlphaGo LeeXceptionXceptionAlphaGo MasterAlphaGo MasterENASENASFTWFTWPartiPartiGPT-4GPT-4Task domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJul 2, 1950Apr 19, 1965Dec 27, 1978Sep 4, 1992May 14, 2006Jan 21, 2020Training computation (petaFLOP)<1e-110.00000000010.000000010.0000010.00010.01110010,0001 million100 million10 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderTheseusTheseusPerceptron Mark IPerceptron Mark IPandemonium (morse)Pandemonium (morse)ADALINEADALINENeocognitronNeocognitronNetTalk (dictionary)NetTalk (dictionary)TD-GammonTD-GammonNPLMNPLMBiLSTM for SpeechBiLSTM for SpeechGPU DBNsGPU DBNsKN5 LM + RNN 400/10 (WSJ)KN5 LM + RNN 400/10 (WSJ)AlexNetAlexNetSeq2Seq LSTMSeq2Seq LSTMAlphaGo LeeAlphaGo LeeXceptionXceptionAlphaGo MasterAlphaGo MasterENASENASFTWFTWPartiPartiGPT-4GPT-4Task domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg index c8de92c180d..b52f5020a47 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionTransformerXL + spectrum controlTransformerXL + spectrum controlAlphaFold 2AlphaFold 2Yuan 1.0Yuan 1.0JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionTransformerXL + spectrum controlTransformerXL + spectrum controlAlphaFold 2AlphaFold 2Yuan 1.0Yuan 1.0JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v151_850x600.svg index 908f6be9860..087ffe64c88 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionTransformerXL + spectrum controlTransformerXL + spectrum controlAlphaFold 2AlphaFold 2Yuan 1.0Yuan 1.0JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionTransformerXL + spectrum controlTransformerXL + spectrum controlAlphaFold 2AlphaFold 2Yuan 1.0Yuan 1.0JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg index 21af343d606..9c2237aa185 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)1001,00010,000100,0001 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionALBERT-xxlargeALBERT-xxlargeTuring-NLGTuring-NLGTransformerXL + spectrum controlTransformerXL + spectrum controlTensor-Transformer(1core)+PN (WT103)Tensor-Transformer(1core)+PN (WT103)ELECTRAELECTRAATLASATLASDETRDETRGPT-3 175B (davinci)GPT-3 175B (davinci)iGPT-LiGPT-LiGPT-XLiGPT-XLDeLightDeLightESM1-670M (UR50/D)ESM1-670M (UR50/D)mT5-XXLmT5-XXLGBERT-LargeGBERT-LargeViT-Huge/14ViT-Huge/14KEPLERKEPLERERNIE-Doc (247M)ERNIE-Doc (247M)ByT5-XXLByT5-XXLEfficientNetV2EfficientNetV2PermuteFormerPermuteFormerMegatron-Turing NLG 530BMegatron-Turing NLG 530BT0-XXLT0-XXLNÜWANÜWAGopher (280B)Gopher (280B)PolyCoderPolyCoderMogrifier RLSTM (WT2)Mogrifier RLSTM (WT2)CaLMCaLMGPT-4GPT-4Claude 2Claude 2JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)1001,00010,000100,0001 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionALBERT-xxlargeALBERT-xxlargeTuring-NLGTuring-NLGTransformerXL + spectrum controlTransformerXL + spectrum controlTensor-Transformer(1core)+PN (WT103)Tensor-Transformer(1core)+PN (WT103)ELECTRAELECTRAATLASATLASDETRDETRGPT-3 175B (davinci)GPT-3 175B (davinci)iGPT-LiGPT-LiGPT-XLiGPT-XLDeLightDeLightESM1-670M (UR50/D)ESM1-670M (UR50/D)mT5-XXLmT5-XXLGBERT-LargeGBERT-LargeViT-Huge/14ViT-Huge/14KEPLERKEPLERERNIE-Doc (247M)ERNIE-Doc (247M)ByT5-XXLByT5-XXLEfficientNetV2EfficientNetV2PermuteFormerPermuteFormerMegatron-Turing NLG 530BMegatron-Turing NLG 530BT0-XXLT0-XXLNÜWANÜWAGopher (280B)Gopher (280B)PolyCoderPolyCoderMogrifier RLSTM (WT2)Mogrifier RLSTM (WT2)CaLMCaLMGPT-4GPT-4Claude 2Claude 2JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v151_850x600.svg index 4023a6a16cc..cd0c0885675 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)1001,00010,000100,0001 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionALBERT-xxlargeALBERT-xxlargeTuring-NLGTuring-NLGTransformerXL + spectrum controlTransformerXL + spectrum controlTensor-Transformer(1core)+PN (WT103)Tensor-Transformer(1core)+PN (WT103)ELECTRAELECTRAATLASATLASDETRDETRGPT-3 175B (davinci)GPT-3 175B (davinci)iGPT-LiGPT-LiGPT-XLiGPT-XLDeLightDeLightESM1-670M (UR50/D)ESM1-670M (UR50/D)mT5-XXLmT5-XXLGBERT-LargeGBERT-LargeViT-Huge/14ViT-Huge/14KEPLERKEPLERERNIE-Doc (247M)ERNIE-Doc (247M)ByT5-XXLByT5-XXLEfficientNetV2EfficientNetV2PermuteFormerPermuteFormerMegatron-Turing NLG 530BMegatron-Turing NLG 530BT0-XXLT0-XXLNÜWANÜWAGopher (280B)Gopher (280B)PolyCoderPolyCoderMogrifier RLSTM (WT2)Mogrifier RLSTM (WT2)CaLMCaLMGPT-4GPT-4Claude 2Claude 2JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateJan 31, 2020Apr 30, 2020Oct 17, 2022Training computation (petaFLOP)1001,00010,000100,0001 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderMeenaMeenaTaLK ConvolutionTaLK ConvolutionALBERT-xxlargeALBERT-xxlargeTuring-NLGTuring-NLGTransformerXL + spectrum controlTransformerXL + spectrum controlTensor-Transformer(1core)+PN (WT103)Tensor-Transformer(1core)+PN (WT103)ELECTRAELECTRAATLASATLASDETRDETRGPT-3 175B (davinci)GPT-3 175B (davinci)iGPT-LiGPT-LiGPT-XLiGPT-XLDeLightDeLightESM1-670M (UR50/D)ESM1-670M (UR50/D)mT5-XXLmT5-XXLGBERT-LargeGBERT-LargeViT-Huge/14ViT-Huge/14KEPLERKEPLERERNIE-Doc (247M)ERNIE-Doc (247M)ByT5-XXLByT5-XXLEfficientNetV2EfficientNetV2PermuteFormerPermuteFormerMegatron-Turing NLG 530BMegatron-Turing NLG 530BT0-XXLT0-XXLNÜWANÜWAGopher (280B)Gopher (280B)PolyCoderPolyCoderMogrifier RLSTM (WT2)Mogrifier RLSTM (WT2)CaLMCaLMGPT-4GPT-4Claude 2Claude 2JaisJaisGemini UltraGemini UltraTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg index dec13c3e558..8c914f2380f 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateFeb 11, 2024Feb 12, 2024Feb 12, 2024Feb 13, 2024Feb 13, 2024Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateFeb 11, 2024Feb 12, 2024Feb 12, 2024Feb 13, 2024Feb 13, 2024Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg index 31031c4131b..8226466446e 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateFeb 11, 2024Feb 12, 2024Feb 12, 2024Feb 13, 2024Feb 13, 2024Training computation (petaFLOP)1 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateFeb 11, 2024Feb 12, 2024Feb 12, 2024Feb 13, 2024Feb 13, 2024Training computation (petaFLOP)1 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg index 3eaf4766337..90c3b6840e8 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateOct 17, 2022Jun 8, 2047Aug 8, 2020Jun 4, 2021Jul 13, 2025Sep 29, 2033Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateOct 17, 2022Jun 8, 2047Aug 8, 2020Jun 4, 2021Jul 13, 2025Sep 29, 2033Training computation (petaFLOP)100 billion200 billion300 billion400 billion500 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg index 3120745bca0..6929f9587ee 100644 --- a/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg +++ b/all-views/svg/artificial-intelligence-training-computation?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v151_850x600.svg @@ -1 +1 @@ -Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateOct 17, 2022Jun 8, 2047Aug 8, 2020Jun 4, 2021Jul 13, 2025Sep 29, 2033Training computation (petaFLOP)1 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file +Computation used to train notable artificial intelligence systemsComputation is measured in total petaFLOP, which is 10¹⁵ floating-point operations estimated from AI literature,albeit with some uncertainty. Estimates are expected to be accurate within a factor of 2, or a factor of 5 for recentundisclosed models like GPT-4.Publication dateOct 17, 2022Jun 8, 2047Aug 8, 2020Jun 4, 2021Jul 13, 2025Sep 29, 2033Training computation (petaFLOP)1 million10 million100 million1 billion10 billion100 billiondisclosure required at 100 billion petaFLOP under the Executive Orderdisclosure required at 100 billion petaFLOP under the Executive OrderAyaAyaTask domainBiologyGamesImage generationLanguageMultimodalOtherSpeechVisionData source: Epoch (2024)Note: The Executive Order on AI refers to a directive issued by President Biden on October 30, 2023, aimed at establishing guidelinesand standards for the responsible development and use of artificial intelligence within the United States.OurWorldInData.org/artificial-intelligence | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg index 0d96a5bc2e5..ca19b3e5961 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg index 32137cc1a6d..f2868fd2698 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg index a32f8681bc8..249fcc80af9 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg index c2f8a129572..bcbbd4c5bb6 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg index ca65e300ad9..4fe1e1b0260 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg index 209cdedbe49..d24a325b957 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg index 88afe4fabad..999568380a8 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg index 6482c39cf70..404516f0557 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg index 09bd5cc849e..488ed1e049d 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg index 08a6efc90ce..b7554cc5848 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1810Germany167.8 cm167.8 cmNetherlands166 cm166 cmFrance163.9 cm163.9 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg index 967006df0b0..03e2d785ad9 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg index f94b2941a2c..5c034da51e9 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg index f0c0736b585..0098846722a 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg index cd8fdbd9d64..313acfba1fb 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg index 208989e91cb..65d706a5e9b 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 18100 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cmFrance163.9 cm163.9 cmGermany167.8 cm167.8 cmNetherlands166 cm166 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg index 82bf8ad4ad5..7760cb75904 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg index abb20522cb3..3fe5a4b151d 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg index 52e34cea627..8b69aca086c 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg index 14fb30d9a87..255c78e33b2 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg index 4036193aa5d..b2c0af3cfaa 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg index ddd4d484a28..09223e58677 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg index 81a11c948e4..0f92ecb9d70 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg index a698a77d733..4840f64c603 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg index 569dd1e2ba3..21b19318e80 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg index 629cdec40ec..a13205b576f 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Average height of men by year of birth, 1980Netherlands182.7 cm182.7 cmGermany180.5 cm180.5 cmFrance176.5 cm176.5 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg index 2ae42c6b705..e186d23ffe6 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg index ab85171d728..7230cb501c1 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg index 8be1d479f4f..0c80ab6b12d 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg index ec64209f951..6db4daeb68b 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg index fa3b460dcb9..2db8decf88c 100644 --- a/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg +++ b/all-views/svg/average-height-of-men-for-selected-countries?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v10_850x600.svg @@ -1 +1 @@ -Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file +Change in average height of men by year of birth, 19800 cm20 cm40 cm60 cm80 cm100 cm120 cm140 cm160 cm180 cmFrance176.5 cm176.5 cmGermany180.5 cm180.5 cmNetherlands182.7 cm182.7 cmData source: University of Tuebingen: Height datahub (2015)OurWorldInData.org/human-height | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=entity_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=entity_v13_850x600.svg index 81c2095482d..303d142a50d 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=entity_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=entity_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=metric_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=metric_v13_850x600.svg index 46b66741be6..61ff30a59bd 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=metric_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=metric_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=none_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=none_v13_850x600.svg index 4277e733c55..b2b9970c4e8 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=none_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=earliest&facet=none_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=entity_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=entity_v13_850x600.svg index e6140832c91..cb279fdd0f3 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=entity_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=entity_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=metric_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=metric_v13_850x600.svg index 03311c485ca..2b12b5d8cf1 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=metric_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=metric_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=none_v13_850x600.svg b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=none_v13_850x600.svg index 6769026929e..569f8e16076 100644 --- a/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=none_v13_850x600.svg +++ b/all-views/svg/average-precipitation-per-year?tab=chart&time=latest&facet=none_v13_850x600.svg @@ -1 +1 @@ -Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file +Average annual precipitationPrecipitation in millimeters per year. Precipitation is defined as any kind of water that falls from clouds as a liquidor a solid.Congo1,646 mm1,646 mmUnited Kingdom1,220 mm1,220 mmIndia1,083 mm1,083 mmUnited States715 mm715 mmDenmark703 mm703 mmAustralia534 mm534 mmSudan250 mm250 mmQatar74 mm74 mmData source: Food and Agriculture Organization of the United Nations (via World Bank)OurWorldInData.org/water-use-stress | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg index 65175ae6783..3be4d51adfa 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg index ab1869e82c6..960d71a163f 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg index ec5b5f877dd..3f0ae2aa022 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg index 8906635e94d..5361b65eac1 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg index 9d2d3fcb82c..6928695508f 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg index de2323949f4..ba7d44ab3ff 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg index 5eb716803f6..0129c24ef41 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg index 7bef4146cbe..32c92a4bc6f 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg index 2a3d5aca182..b87a29002b1 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg index 0943b2c787b..600127fcc9d 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.Births92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg index 7612b23be2b..e8dae1e3cbe 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg index 4cedc1ef0c4..f4c2356386f 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg index b29ed0aad20..9a738ef2071 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg index d97a524410a..2e74fa7f629 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg index e2bf412c4c9..5293b73d84f 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 1950Historic estimates with future projections based on the UN medium-fertility scenario.020 million40 million60 million80 millionBirths92.08 million92.08 millionDeaths48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg index 4b9b1ca8197..ceae45a8e66 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg index def6a200e33..e539b432922 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg index a80c0d1109f..5d9a64c1e68 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg index 7ea6cd2058f..9c0624a6217 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg index c24ea0d2033..040868c0cc4 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg index 60aaa637d31..dba581b8dfd 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg index 3d845e12a5a..cb22a48c05e 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg index 118965f0293..71524ac761e 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg index d8b79fc5e8a..848ca4ccbaf 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg index 3cc9ba13a1b..707b421f3b6 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected dataProjected deaths122.81 million122.81 millionProjected births111.45 million111.45 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg index 776189841ed..f1d456197ca 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg index f4086f91bb6..d743d70f0c2 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg index 9cdd1ac054e..af9ac964bd2 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg index 687043f743d..3ee86a615bf 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg index 3879c5c40db..6e287b069a7 100644 --- a/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg +++ b/all-views/svg/births-and-deaths-projected-to-2100?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v28_850x600.svg @@ -1 +1 @@ -Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Births and deaths per year, World, 2100Historic estimates with future projections based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected births111.45 million111.45 millionProjected deaths122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=entity_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=entity_v8_850x600.svg index 1f1f901b5c9..37228bab8cf 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=entity_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=entity_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=metric_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=metric_v8_850x600.svg index 41132f2779b..e1746cabab3 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=metric_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=metric_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=none_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=none_v8_850x600.svg index 165ec7f65bc..e9625513313 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=none_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=earliest&facet=none_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=entity_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=entity_v8_850x600.svg index 65ed670bf93..5f114ced00d 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=entity_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=entity_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=metric_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=metric_v8_850x600.svg index a76c73c78d4..c83c7425de2 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=metric_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=metric_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=none_v8_850x600.svg b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=none_v8_850x600.svg index 3574216db96..760ef993378 100644 --- a/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=none_v8_850x600.svg +++ b/all-views/svg/carbon-dioxide-emissions-factor?tab=chart&time=latest&facet=none_v8_850x600.svg @@ -1 +1 @@ -Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Carbon dioxide emissions factorsEmissions factors quantify the average CO₂ output per unit of energy. They are measured in kilograms of CO₂per megawatt-hour (MWh) of energy from various fossil fuel sources.Charcoal403.2 kg403.2 kgOil Shale and Tar Sands385.2 kg385.2 kgCoke Oven Coke and Lignite Coke385.2 kg385.2 kgPeat381.6 kg381.6 kgLignite363.6 kg363.6 kgAnthracite353.88 kg353.88 kgSub-Bituminous Coal345.96 kg345.96 kgBitumen290.52 kg290.52 kgDiesel Oil266.76 kg266.76 kgShale Oil263.88 kg263.88 kgCrude Oil263.88 kg263.88 kgJet Gasoline252 kg252 kgAviation Gasoline252 kg252 kgMotor Gasoline249.48 kg249.48 kgNatural Gas201.96 kg201.96 kgData source: IPCC - Emission Factor Database (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg index 5432c86fa70..f24e44211ed 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg index 4b4aaf850b0..5e0aa03a9ab 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg index f2988598eeb..3305dc99a88 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg index a7022a51c10..dd0af45b019 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg index c6f05d9fd10..eed00129de9 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg index e88719df51d..f9ed76ee3b0 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg index 66582711c8f..16fe87e3323 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg index 0a299b7fdec..fc845e50385 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg index c2a37cee137..6a6661ca509 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg index d124ca55a34..7a200e87654 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂China672 gCO₂672 gCO₂Netherlands563 gCO₂563 gCO₂Italy506 gCO₂506 gCO₂World468 gCO₂468 gCO₂Austria198 gCO₂198 gCO₂France81 gCO₂81 gCO₂Sweden48 gCO₂48 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg index 1133306b48c..974794217ed 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg index d5ff3ad8579..1bb2129db6e 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg index 0ff54880998..944043904a7 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg index fd4468ab9f8..989af2c2d0c 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg index 40672f6d8e7..fa83b477c24 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2000Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria198 gCO₂198 gCO₂China672 gCO₂672 gCO₂France81 gCO₂81 gCO₂Italy506 gCO₂506 gCO₂Netherlands563 gCO₂563 gCO₂Poland802 gCO₂802 gCO₂South Africa760 gCO₂760 gCO₂Sweden48 gCO₂48 gCO₂World468 gCO₂468 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg index 814b98f5486..2b33d6764d9 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg index 34831fff7a2..6f5a04e9049 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg index dd458b998b7..77306297168 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg index 60396473fdf..33452e41946 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg index 617e7601f7e..5c05c710aab 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg index 22c4b434d58..d8ad1d40c0e 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg index d53bff04802..171f4041b0c 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg index 9ae37b2ef6e..8737c12f210 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg index d116509c6d5..ce1e5871222 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg index 527775a0856..c8873121809 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.South Africa708 gCO₂708 gCO₂Poland633 gCO₂633 gCO₂China534 gCO₂534 gCO₂World438 gCO₂438 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Austria158 gCO₂158 gCO₂France85 gCO₂85 gCO₂Sweden45 gCO₂45 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg index d6c142b1bb5..f0043a46d10 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg index 9973bd14cd4..c0360b66fdc 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg index cf1a4f4f6e7..3fe163a03a5 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg index e493b3ebcba..de09be20834 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg index baff64b4b3d..e64610e575f 100644 --- a/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg +++ b/all-views/svg/carbon-intensity-electricity?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v43_850x600.svg @@ -1 +1 @@ -Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Change in carbon intensity of electricity generation, 2022Carbon intensity is measured in grams of carbon dioxide-equivalents emitted per kilowatt-hour of electricitygenerated.0 gCO₂100 gCO₂200 gCO₂300 gCO₂400 gCO₂500 gCO₂600 gCO₂700 gCO₂Austria158 gCO₂158 gCO₂China534 gCO₂534 gCO₂France85 gCO₂85 gCO₂Italy373 gCO₂373 gCO₂Netherlands354 gCO₂354 gCO₂Poland633 gCO₂633 gCO₂South Africa708 gCO₂708 gCO₂Sweden45 gCO₂45 gCO₂World438 gCO₂438 gCO₂Data source: Ember - Yearly Electricity Data (2023); Ember - European Electricity Review (2022); Energy Institute - Statistical Reviewof World Energy (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index 4b9fd759e3e..cdb68aae163 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 4edf03b98e5..3608a8b5287 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index db5bcc08d75..35b19954edf 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index b7e70f0a39f..644bca25ff5 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index f59dca2d030..37ff2fc2f10 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg index 9157aa3edb1..87c4150714e 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg index 0ca1f82ad8d..0ae09acf2bd 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg index 4bad4db3a4e..d114495ace1 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg index 49513647930..1da1d033f39 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg index 52bbd6b6034..c897f1956fb 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index 1002f89fc0e..14cbf5110bf 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index b395773d498..add03237533 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index 384d39d688d..2a0a21ca12b 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index 3d29627c24f..e06b123e2f5 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index d3cfa1e6f3b..0fb4da1165e 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 1750Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t0.2 t0.4 t0.6 t0.8 t1 tUnited Kingdom1 t1 tWorld<0.1 t<0.1 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index f8a6063bda1..ff17855ccd1 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 9ecd9727705..47864631e53 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index 61fef21dff8..1cf48eaa7a7 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index 16a98bfcdc0..b6bab4af893 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index 1d486954b26..adf72d88445 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg index 88aa9ac7dba..d3b9706db00 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg index 073d9b24cd1..e3fc190a35e 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg index ad67678a651..902dab3d14a 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg index 0306787c2bd..339d88a77f8 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg index 66fe5b7c856..0580d8c0acb 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.United States14.9 t14.9 tCanada14.2 t14.2 tChina8 t8 tSouth Africa6.7 t6.7 tEuropean Union (27)6.2 t6.2 tUnited Kingdom4.7 t4.7 tWorld4.7 t4.7 tIndia2 t2 tKenya0.5 t0.5 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index 27043c442b0..9c9f76fd844 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 0a5411216bf..b2b1aa586a4 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index 4514b6b9e91..f736a38b590 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index 9d258db513b..009af2b4df2 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index b971dd68419..7d5d06701c3 100644 --- a/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/co-emissions-per-capita?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file +Per capita CO₂ emissions, 2022Carbon dioxide (CO₂) emissions from fossil fuels and industry. Land-use change is not included.0 t2 t4 t6 t8 t10 t12 t14 tCanada14.2 t14.2 tChina8 t8 tEuropean Union (27)6.2 t6.2 tIndia2 t2 tKenya0.5 t0.5 tSouth Africa6.7 t6.7 tUnited Kingdom4.7 t4.7 tUnited States14.9 t14.9 tWorld4.7 t4.7 tData source: Global Carbon Budget (2023); Population based on various sources (2023)OurWorldInData.org/co2-and-greenhouse-gas-emissions | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg index 8072f78f361..52cb07584c0 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg index 135e3dc8eb0..fe0ea3cb4a5 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg index 9e6f409fec1..9f04173f77d 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg index 75d8ff4d2df..9f93101653b 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg index 55a3af425b1..47fe466d307 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg index dfb0becd63f..7508943f10c 100644 --- a/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg +++ b/all-views/svg/coal-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg @@ -1 +1 @@ -Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Coal reserves, 2020Proved reserves, measured in tonnes, are generally those quantities that can be recovered in the future fromknown reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.CIS (EI)190.66 billion t190.66 billion tKazakhstan25.61 billion t25.61 billion tTurkey11.53 billion t11.53 billion tData source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg index 8e1ae9251fc..2d9e7e11d20 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg index b9049ea176f..d247dfb1757 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg index 9fecfd7dfba..97d132e63ed 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg index c0c07c78d6f..2cbdd3996db 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg index bb4753b4e77..827b5c8435d 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg index 128925817dd..3db1007b9e1 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg index 56a76d4fc23..aff691645d3 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg index 72dcc2d616f..74cd52c6918 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg index dafd6ff8245..441a5d79b95 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg index d42b5be8cdf..aca23878d26 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.China1.5 million on Dec 15, 20201.5 million on Dec 15, 2020United States45,62045,620Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg index 537008508f5..a25c7903ea3 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg index 4b0dfc48688..4c2a9c970a3 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg index 3ddf12c1f61..5644ee6012f 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg index fe481f6ea69..9fb97e6cb1b 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg index fd0d8cde17d..583a2a8c9ae 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Dec 13, 2020All doses, including boosters, are counted individually.0200,000400,000600,000800,0001 million1.2 million1.4 millionChina1.5 million on Dec 15, 20201.5 million on Dec 15, 2020Indonesia0 on Jan 12, 20210 on Jan 12, 2021Mexico2,924 on Dec 24, 20202,924 on Dec 24, 2020Russia28,500 on Dec 15, 202028,500 on Dec 15, 2020United States45,62045,620Data source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg index 0ec6bb7bf23..a957c7ed204 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg index 8112ec44564..1e552774ea5 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg index c567285f6c4..db2c9c8199d 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg index d7c0f2b19a1..91dc52343a1 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg index 03cb59298c7..5a42c737983 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg index 255cf3153b8..8b54b297790 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg index fd156506460..2bc9a6ee47b 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg index 59f574356f2..643a07a4290 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg index 4e95fbbdce7..95b95d0aaf2 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg index 52920570f1b..1845157711a 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.India2.21 billion2.21 billionBangladesh361.68 million361.68 millionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg index c4520380aa0..025e5750128 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg index 6faed7120d3..c76d26c27ae 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg index 863553ef969..6002006debb 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg index 8f1a9259bb2..a318e0d3e2e 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg index d17b0e44393..59fd8a9dbca 100644 --- a/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg +++ b/all-views/svg/cumulative-covid-vaccinations?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v1665_850x600.svg @@ -1 +1 @@ -Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Total COVID-19 vaccine doses administered, Mar 10, 2024All doses, including boosters, are counted individually.0500 million1 billion1.5 billion2 billionBangladesh361.68 million361.68 millionIndia2.21 billion2.21 billionData source: Official data collated by Our World in Data – Last updated 11 March 2024OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=entity_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=entity_v10_850x600.svg index fe02b5e4137..d86f65a0006 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=entity_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=entity_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=metric_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=metric_v10_850x600.svg index 2f7f2ccffa1..92903a5e9ae 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=metric_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=metric_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=none_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=none_v10_850x600.svg index 585f59b10a7..0591ff7934c 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=none_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=earliest&facet=none_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=entity_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=entity_v10_850x600.svg index 997360587f0..df9fe280ef9 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=entity_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=entity_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=metric_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=metric_v10_850x600.svg index 438f0733e4b..8ee5ba3cb8f 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=metric_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=metric_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=none_v10_850x600.svg b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=none_v10_850x600.svg index 7ae4e961411..e480409b8b7 100644 --- a/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=none_v10_850x600.svg +++ b/all-views/svg/death-rates-from-energy-production-per-twh?tab=chart&time=latest&facet=none_v10_850x600.svg @@ -1 +1 @@ -Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file +Death rates per unit of electricity productionDeath rates are measured based on deaths from accidents and air pollution per terawatt-hour of electricity.Brown coal32.7232.72Coal24.6224.62Oil18.4318.43Biomass4.634.63Gas2.822.82Hydropower1.31.3Wind0.040.04Nuclear0.030.03Solar0.020.02Data source: Markandya & Wilkinson (2007); Sovacool et al. (2016); UNSCEAR (2008; & 2018)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg index 01f335c98f4..6adead1cc83 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg index 9f96e1c7e8f..1e459eb9e19 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg index f1f3cbb637a..0de181b7c90 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg index 7afe79690ad..9e38ae6c698 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg index 6b87a785418..8605e724f51 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg index 3f6e51f86dd..117eab596ad 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg index 62a95053b60..2fac5aa7df2 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg index ca55fdc7e79..0f2f850c53b 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg index 9bdd5061ed2..992982f5b17 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg index 25954ae0fa6..369aaafac80 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia9.099.09Botswana7.67.6Argentina6.636.63China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg index a23712ecb6c..1e834975ad4 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg index d28f3d75530..27c9bc0f214 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg index 98917c1256e..e4c9711cf60 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg index 27560bfa788..be7cdd4a212 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg index 36e50cf1917..f0f89a7dbbd 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2006Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.636.63Australia9.099.09Botswana7.67.6China2.972.97Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg index 082a8332d7c..e69298af302 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg index d22c4e2d81d..22acd4b5880 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg index 42a9692d0c8..5543cd5efdf 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg index 5e08f0ed773..65ebe264ad7 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg index b5593decf69..0251a3f3c8b 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg index deb8aca61d3..d99f5bdee4f 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg index 1105c763a28..050ae719490 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg index dab6271d3ea..a18240f3a61 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg index 3dbbe4374a8..c4b854b6841 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg index bd431fcbdd9..9e107fb12d4 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).Australia8.718.71Botswana7.737.73Argentina6.856.85China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg index ec6cf146456..740f3d3f9d0 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg index 89a469f511d..9a1145f4d3e 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg index 4bcd50ae0f7..d3511534ced 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg index b427c3b75de..6c6ba295ef8 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg index 98557a3e482..f16e9cd7897 100644 --- a/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg +++ b/all-views/svg/democracy-index-eiu?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v90_850x600.svg @@ -1 +1 @@ -Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file +Democracy index, 2022Based on the expert assessments and index by the Economist Intelligence Unit (2023). It combines informationon the extent to which citizens can choose their political leaders in free and fair elections, enjoy civil liberties,prefer democracy over other political systems, can and do participate in politics, and have a functioninggovernment that acts on their behalf. It ranges from 0 to 10 (most democratic).0246810Argentina6.856.85Australia8.718.71Botswana7.737.73China1.941.94Data source: Economist Intelligence Unit (2023)OurWorldInData.org/democracy | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=entity_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=entity_v13_850x600.svg index 3ef7b57abcb..6a3f8337202 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=entity_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=entity_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=metric_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=metric_v13_850x600.svg index eace333e6e1..987997e30f1 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=metric_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=metric_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=none_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=none_v13_850x600.svg index aa4718189ed..f84d9ea7c00 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=none_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=earliest&facet=none_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2011The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World8.15%8.15%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=entity_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=entity_v13_850x600.svg index 583a1f684ae..a13a85f048a 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=entity_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=entity_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=metric_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=metric_v13_850x600.svg index b23b223f589..61a217317a3 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=metric_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=metric_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=none_v13_850x600.svg b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=none_v13_850x600.svg index 99b50f20563..ddda70516a2 100644 --- a/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=none_v13_850x600.svg +++ b/all-views/svg/diabetes-prevalence?tab=chart&time=latest&facet=none_v13_850x600.svg @@ -1 +1 @@ -Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file +Diabetes prevalence, 2021The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, includingcardiovascular disease, and premature death.World9.8%9.8%Data source: International Diabetes Federation (via World Bank)OurWorldInData.org/burden-of-disease | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg index 4f248d3a2df..a4b8f1ac144 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg index 9d6046d45c5..0be2893d50f 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg index ce9d74d39ac..71bf5cde4ee 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg index 007cf06cf98..0a5ed24c1e6 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg index 009b0eac1be..b8d713bb9d1 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg index 46cf708dbb2..512285002e5 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg index 7b767a85cb6..a54720bbdc8 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg index 6ce1ad79a59..f4dc2b8081c 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg index ff948602ad2..f758bceef08 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg index a2f4f1c1591..94efe3854f5 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg index f2e5f0d12f3..3b699bfb6b5 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg index 155a85489b0..b3901c407d4 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg index baddf7631e4..1faef7d281e 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg index b20def4d4d5..3d3300772dd 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg index 10cfbc42f77..463cd6224e8 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 1963The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.050.10.150.20.250.30.35United States0.380.38Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg index 33cd96ec0c7..4e0ff2cee0c 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg index fb9e44f7fbd..ca48fb26773 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg index 4edf1f8d282..6c95c1c2923 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg index 0e9df43843f..6ff3a694d05 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg index 173a2446b55..6f3087a7a76 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg index 811c66b190b..0cba7f0d8cf 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg index 2310c3fad4e..f66d830651c 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg index 33604b5f8d2..d2b9daa8202 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg index 636eb39b97f..3a591195859 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg index a84f6033193..bdf03607354 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.Brazil0.530.53Chile0.45 in 20200.45 in 2020United States0.40.4China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg index 2628d55dfec..133df74bb68 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg index 56d86b7ade2..9e9666d4559 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg index 3406d6fb9e7..3446f077a56 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg index 305c91077ed..e0b0e0d3941 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg index f01e2d345ec..8e255e2f836 100644 --- a/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg +++ b/all-views/svg/economic-inequality-gini-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v82_850x600.svg @@ -1 +1 @@ -Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Change in income inequality: Gini coefficient, 2021The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.Depending on the country and year, the data relates to income measured after taxes and benefits, or toconsumption, per capita.00.10.20.30.40.5Brazil0.530.53Chile0.45 in 20200.45 in 2020China0.37 in 20200.37 in 2020France0.31 in 20200.31 in 2020United States0.40.4Data source: World Bank Poverty and Inequality Platform (2023)Note: Income and consumption estimates are available separately in this Data Explorer.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=entity_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=entity_v8_850x600.svg index 02229b5824c..2fead7d69eb 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=entity_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=entity_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=metric_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=metric_v8_850x600.svg index 3b105266291..4c1d559cc11 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=metric_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=metric_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=none_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=none_v8_850x600.svg index ee2f185f05f..66d9d46aef4 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=none_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=earliest&facet=none_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=entity_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=entity_v8_850x600.svg index 2bf44a0853f..f512f9dcbbc 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=entity_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=entity_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=metric_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=metric_v8_850x600.svg index a7e002baeee..d740f4961b6 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=metric_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=metric_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=none_v8_850x600.svg b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=none_v8_850x600.svg index ea96b84e45c..808bb0fd1da 100644 --- a/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=none_v8_850x600.svg +++ b/all-views/svg/environmental-footprint-milks?tab=chart&time=latest&facet=none_v8_850x600.svg @@ -1 +1 @@ -Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Environmental footprints of dairy and plant-based milksImpacts are measured per liter of milk. These are based on a meta-analysis of food system impact studies acrossthe supply chain which includes land use change, on-farm production, processing, transport, and packaging.Land useLand useDairy milk8.95 m²8.95 m²Oat milk0.76 m²0.76 m²Soy milk0.66 m²0.66 m²Almond milk0.5 m²0.5 m²Rice milk0.34 m²0.34 m²Greenhouse gas emissionsGreenhouse gas emissionsDairy milk3.15 kg3.15 kgRice milk1.18 kg1.18 kgSoy milk0.98 kg0.98 kgOat milk0.9 kg0.9 kgAlmond milk0.7 kg0.7 kgFreshwater useFreshwater useDairy milk628.2 L628.2 LAlmond milk371.46 L371.46 LRice milk269.81 L269.81 LOat milk48.24 L48.24 LSoy milk27.8 L27.8 LEutrophicationEutrophicationDairy milk10.65 g10.65 gRice milk4.69 g4.69 gOat milk1.62 g1.62 gAlmond milk1.5 g1.5 gSoy milk1.06 g1.06 gData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg index ffd91447a63..d7a921d2822 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg index 77f51d7db49..530c074d663 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg index d3fe7ffe558..fc4043ceb5d 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg index f804c578f04..df246bb67c5 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg index bfd9e34aa3a..9f1bc77b836 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg index 3ebe90fffe1..f2a08748724 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg index edb931384b9..18c72ce635e 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg index 83f78ec7f5f..7c9583be22e 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg index b49235e7180..29867e5faf0 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg index 0cbe02c2ce7..ef5a879b76a 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Guatemala9%9%Colombia6%6%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg index 184e9c52a07..6dd78b68a19 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg index aed06169416..32df069d8b6 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg index 6eb31ebcd4d..aa0da7a6875 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg index bd9a175d0cb..85e0bc07ddf 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg index 66f5cc6634e..c0ad9a24da5 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Jan 5, 2020The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.-2%0%2%4%6%8%Colombia6%6%Guatemala9%9%Kazakhstan-3% on Jan 31, 2020-3% on Jan 31, 2020Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg index 8dd2a461424..bd449cc3d2e 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg index 405ed690e4c..c046f003ad9 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg index a55c638d2c6..1749ddb65dd 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg index 1ad18a18b2b..f266060e2ff 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg index b1710a68e0b..483de2d108d 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg index 565462402d6..3d7a5d7e909 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg index 82efba6b3c9..411a18c6bcd 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg index 241783d6730..fd00b2305c3 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg index d70183092ce..77dc75d5246 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg index 68c311b049c..1a582abbcff 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg index 185562c19cd..38756083b61 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg index a96c74cb8d5..9f0888171e8 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg index d0f5546d103..83269b4ac8e 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg index eb4a2f12fc1..70d54245f71 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg index a1617c524e3..9bb824d5df8 100644 --- a/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg +++ b/all-views/svg/excess-mortality-p-scores-average-baseline?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v311_850x600.svg @@ -1 +1 @@ -Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Excess mortality: Deaths from all causes compared to average overprevious years, Dec 31, 2023The percentage difference between the reported number of weekly or monthly deaths in 2020–2024 and the average numberof deaths in the same period over the years 2015–2019.0%2%4%6%8%10%12%14%16%18%Kazakhstan18%18%Data source: Human Mortality Database (2024); World Mortality Dataset (2024)Note: The reported number of deaths might not count all deaths that occurred due to incomplete coverage and delays in reporting.OurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=entity_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=entity_v3_850x600.svg index d994fbc2306..4a5e8f34168 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=entity_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=metric_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=metric_v3_850x600.svg index a3cc5043301..a5947c62d21 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=metric_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=none_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=none_v3_850x600.svg index 4da65daea5c..cf347604ca5 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=none_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=earliest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=entity_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=entity_v3_850x600.svg index 8ad53fe5804..bf5c55e242d 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=entity_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=metric_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=metric_v3_850x600.svg index 4c400752c86..6152bfca444 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=metric_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=none_v3_850x600.svg b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=none_v3_850x600.svg index 8b549893f87..84900f56547 100644 --- a/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=none_v3_850x600.svg +++ b/all-views/svg/feed-required-to-produce-one-kilogram-of-meat-or-dairy-product?tab=chart&time=latest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Feed required to produce one kilogram of meat or dairy productQuantity of animal feed required to produce one kilogram of meat, egg or milk product. This is measured as drymatter feed in kilograms per kilogram of edible weight output.Beef25 kilograms25 kilogramsLamb/mutton15 kilograms15 kilogramsPork6.4 kilograms6.4 kilogramsPoultry3.3 kilograms3.3 kilogramsEggs2.3 kilograms2.3 kilogramsWhole Milk0.7 kilograms0.7 kilogramsData source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg index d844715b285..3d15d8d2833 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg index 392b47b3e0a..4335b17b7c9 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg index 4ef3e35b584..787d4ed7e93 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg index d34db6b2003..cbb5420648b 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg index e336fdfc2df..6b4cfcc65ba 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg index 6780fbb03e6..4f2ba28415a 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg index dc460a33f2b..6a771208065 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg index db229a307aa..b5b86bd0b42 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg index a36b3fbafb0..6c8e0c75173 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg index df92e373111..c6fc0a335e2 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$2,513$2,513Western Europe (MPD)$2,307$2,307World$1,102$1,102East Asia (MPD)$1,089$1,089Middle East (MPD)$974$974Latin America (MPD)$953$953South and South-East Asia (MPD)$929$929Eastern Europe (MPD)$818$818Sub-Saharan Africa (MPD)$800$800Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg index e04bf8171bf..11a728b8406 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg index 63a82fbfa3d..d90fa860047 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg index 0c1190ab1c3..76b0d955a4f 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg index e6da1bb9da4..4af91ade59e 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg index ba47fe6ff97..95cd8047e9b 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 1820This data is adjusted for inflation and for differences in the cost of living between countries.$0$500$1,000$1,500$2,000$2,500East Asia (MPD)$1,089$1,089Eastern Europe (MPD)$818$818Latin America (MPD)$953$953Middle East (MPD)$974$974South and South-East Asia (MPD)$929$929Sub-Saharan Africa (MPD)$800$800Western Europe (MPD)$2,307$2,307Western offshoots (MPD)$2,513$2,513World$1,102$1,102Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg index e4e71ef7e51..a4e010fdd43 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg index 0ed11fdefd6..a929ed9d0d1 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg index 47709708ac8..86fd0889843 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg index 9edfc14b033..4333f424c9b 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg index 8449bda5f57..b0f4ec13e92 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg index b354a3002c6..aec92a2f5e9 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg index cf6ca2cac49..c8fce5bb325 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg index 885a989034f..6b4c37d6daf 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg index 901d817b211..74be28199b5 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg index d60a3eca49b..2aae6a7bb0c 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.Western offshoots (MPD)$53,756$53,756Western Europe (MPD)$39,790$39,790Eastern Europe (MPD)$20,681$20,681Middle East (MPD)$18,430$18,430East Asia (MPD)$16,327$16,327World$15,212$15,212Latin America (MPD)$14,076$14,076South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg index b01d1ff5f14..9fcc087da3c 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg index 84879af83f3..a8474bc37cb 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg index e196bf543f4..2fdfbc78e41 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg index c726f15200e..df754c60495 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg index 5dcb5c239ed..e8b3ec3bf80 100644 --- a/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg +++ b/all-views/svg/gdp-per-capita-maddison?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v45_850x600.svg @@ -1 +1 @@ -Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +Change in GDP per capita, 2018This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000East Asia (MPD)$16,327$16,327Eastern Europe (MPD)$20,681$20,681Latin America (MPD)$14,076$14,076Middle East (MPD)$18,430$18,430South and South-East Asia (MPD)$7,649$7,649Sub-Saharan Africa (MPD)$3,532$3,532Western Europe (MPD)$39,790$39,790Western offshoots (MPD)$53,756$53,756World$15,212$15,212Data source: Maddison Project Database 2020 (Bolt and van Zanden, 2020)Note: This data is expressed in international-$ at 2011 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg index 3e5f74c7527..1dd65cb5799 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg index 927bffb046c..3e2f005498b 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg index b56e185ec61..8925ad437cc 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg index 47698891a7d..eff8d420961 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg index 757fa07293c..81bfd1d3210 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg index 351b3b9ac43..1408d1aade2 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg index 6773d68ba2d..9c5499c66c4 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg index b6272c7226b..eeb28c2b35d 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg index fcda0e694f6..7a429f89ea6 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg index 0a595b081f7..0281a7e2a20 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.United States$40,456$40,456Germany$36,699$36,699France$33,843$33,843Japan$32,846$32,846United Kingdom$31,538$31,538South Korea$12,656$12,656India$1,819$1,819China$1,424$1,424Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg index 36f94979a2d..5e18eeccadd 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg index 84524aaab26..a2dc21ef987 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg index ab33659fc74..6dbd73a22c4 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg index 52884830411..3d389202948 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg index 73091b44d94..7332a78968c 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 1990This data is adjusted for inflation and for differences in the cost of living between countries.$0$5,000$10,000$15,000$20,000$25,000$30,000$35,000$40,000China$1,424$1,424France$33,843$33,843Germany$36,699$36,699India$1,819$1,819Japan$32,846$32,846South Korea$12,656$12,656United Kingdom$31,538$31,538United States$40,456$40,456Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg index 0e31b983875..93496c60f1a 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg index 0c4c29072ff..6045f25b358 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg index 8287e42ea03..9f945836781 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg index 42210bc0c41..48f15d0c6b9 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg index a15b41d405e..c103d918aff 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg index 84f5efacdd5..e54bc057b4e 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg index 3086d4be82b..1c360423898 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg index e5c4baf2c02..35d8fb1eb2d 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg index e67c13fa7c0..0f4fa9ebe8a 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg index 571387b5059..6931432f914 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.United States$63,670$63,670Germany$53,180$53,180France$44,993$44,993United Kingdom$44,979$44,979South Korea$44,232$44,232Japan$40,784$40,784China$17,603$17,603India$6,592$6,592Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg index 7ba787e9385..a2b4b6f2445 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg index 585a6c449dd..86a0f5375e9 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg index 6274a2c4b86..501c3ee9d86 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg index 0da84163f5b..34f405dd33a 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg index b613aae7ee6..bdf71162af9 100644 --- a/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg +++ b/all-views/svg/gdp-per-capita-worldbank?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v40_850x600.svg @@ -1 +1 @@ -GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file +GDP per capita, 2021This data is adjusted for inflation and for differences in the cost of living between countries.$0$10,000$20,000$30,000$40,000$50,000$60,000China$17,603$17,603France$44,993$44,993Germany$53,180$53,180India$6,592$6,592Japan$40,784$40,784South Korea$44,232$44,232United Kingdom$44,979$44,979United States$63,670$63,670Data source: World Bank (2023)Note: This data is expressed in international-$ at 2017 prices.OurWorldInData.org/economic-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=entity_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=entity_v23_850x600.svg index 400be640c23..4c70a4044a5 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=entity_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=entity_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=metric_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=metric_v23_850x600.svg index 3e737e0b904..2b0434c4fe8 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=metric_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=metric_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=none_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=none_v23_850x600.svg index 489fb340439..6a6dd028bc8 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=none_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=earliest&facet=none_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=entity_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=entity_v23_850x600.svg index 4b40d3a3f51..b1f6501c312 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=entity_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=entity_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=metric_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=metric_v23_850x600.svg index 6b8f97d4ea4..7838bc27a94 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=metric_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=metric_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=none_v23_850x600.svg b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=none_v23_850x600.svg index 0e92c4d7bc9..75c4b5eb0bf 100644 --- a/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=none_v23_850x600.svg +++ b/all-views/svg/ghg-kcal-poore?tab=chart&time=latest&facet=none_v23_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 1000 kilocaloriesGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)36.44 kg36.44 kgPrawns (farmed)26.09 kg26.09 kgLamb & Mutton12.53 kg12.53 kgBeef (dairy herd)12.2 kg12.2 kgTomatoes11 kg11 kgFish (farmed)7.61 kg7.61 kgCheese6.17 kg6.17 kgPoultry Meat5.34 kg5.34 kgMilk5.25 kg5.25 kgPig Meat5.15 kg5.15 kgEggs3.24 kg3.24 kgBrassicas3 kg3 kgBananas1.43 kg1.43 kgCassava1.36 kg1.36 kgCitrus Fruit1.22 kg1.22 kgRice1.21 kg1.21 kgRoot Vegetables1.16 kg1.16 kgOatmeal0.95 kg0.95 kgApples0.9 kg0.9 kgPalm Oil0.83 kg0.83 kgPotatoes0.63 kg0.63 kgWheat & Rye0.59 kg0.59 kgGroundnuts0.56 kg0.56 kgMaize0.38 kg0.38 kgPeas0.28 kg0.28 kgNuts0.07 kg0.07 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=entity_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=entity_v27_850x600.svg index 1a5667fdd9c..f8e8df63871 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=entity_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=entity_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=metric_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=metric_v27_850x600.svg index 9b03ca872fa..aadee382581 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=metric_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=metric_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=none_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=none_v27_850x600.svg index 875ea1a6733..a98da0c0a5d 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=none_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=earliest&facet=none_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=entity_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=entity_v27_850x600.svg index 5a2a9e79bbd..d45a6951f48 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=entity_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=entity_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=metric_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=metric_v27_850x600.svg index 3fbef0912c1..7e8a66aad84 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=metric_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=metric_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=none_v27_850x600.svg b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=none_v27_850x600.svg index 712857341dc..ceec9cc433b 100644 --- a/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=none_v27_850x600.svg +++ b/all-views/svg/ghg-per-protein-poore?tab=chart&time=latest&facet=none_v27_850x600.svg @@ -1 +1 @@ -Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Greenhouse gas emissions per 100 grams of proteinGreenhouse gas emissions are measured in kilograms of carbon dioxide-equivalents.Beef (beef herd)49.89 kg49.89 kgLamb & Mutton19.85 kg19.85 kgPrawns (farmed)18.19 kg18.19 kgBeef (dairy herd)16.87 kg16.87 kgCheese10.82 kg10.82 kgMilk9.5 kg9.5 kgPig Meat7.61 kg7.61 kgFish (farmed)5.98 kg5.98 kgPoultry Meat5.7 kg5.7 kgEggs4.21 kg4.21 kgGrains2.7 kg2.7 kgGroundnuts1.23 kg1.23 kgOther Pulses0.84 kg0.84 kgPeas0.44 kg0.44 kgNuts0.26 kg0.26 kgData source: Poore and Nemecek (2018)OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=entity_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=entity_v5_850x600.svg index 4098d70f2f7..242e8069166 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=entity_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=entity_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=metric_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=metric_v5_850x600.svg index 8ff1f0835d3..4e0a76ae85e 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=metric_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=metric_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=none_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=none_v5_850x600.svg index 6fa24733b09..8dc0b95ab38 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=none_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=earliest&facet=none_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=entity_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=entity_v5_850x600.svg index ac639b6a9f4..a6085eeeb46 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=entity_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=entity_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=metric_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=metric_v5_850x600.svg index cf1417ae754..82380061b62 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=metric_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=metric_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=none_v5_850x600.svg b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=none_v5_850x600.svg index a5ddebf0e51..4573685da67 100644 --- a/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=none_v5_850x600.svg +++ b/all-views/svg/grocery-bag-comparisons-ghg?tab=chart&time=latest&facet=none_v5_850x600.svg @@ -1 +1 @@ -Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven,recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Grocery bag comparisons for greenhouse gas emissionsNumber of times a given grocery bag type would have to be reused to have greenhouse gas emissions as low asa standard single-use plastic bag.Organic cotton149 reuses149 reusesConventional cotton52 reuses52 reusesComposite23 reuses23 reusesRecycled PET8 reuses8 reusesPolypropylene, non-woven, recycled6 reuses6 reusesPolypropylene, woven, recycled5 reuses5 reusesPolyester PET, recycled2 reuses2 reusesBleached paper1 reuses1 reusesUnbleached paper0 reuses0 reusesBiopolymer0 reuses0 reusesData source: Danish Environmental Protection Agency (2018)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg index 136c1dcc797..5d4dc5f3473 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg index 42881d6303c..46bb1fc89d8 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg index bd8f507dd0a..89684e3b0d1 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg index 2798c88c8cb..35d8f590172 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg index 28ed40ff25c..b868acf8168 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg index fd37e02ce10..5f34213e6d3 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg index e24a83d1847..e10c5a40d3b 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg index 13b0aae5d6b..35436e84e6e 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg index ba0f555d5d0..78f84783d1c 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg index 628e3572994..fcaf8c24e62 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United States0.8720.872United Kingdom0.8040.804South Korea0.7370.737Chile0.7060.706Brazil0.610.61China0.4840.484India0.4340.434Democratic Republic of Congo0.3860.386Niger0.2160.216Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg index 0b1c916aae8..dc2c304c8e1 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg index be3480f4495..faa52f778b3 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg index eb9a906928c..169290e9ecf 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg index d5dc2961248..f11c4022eb4 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg index b9af74ba6da..17e4af01e8a 100644 --- a/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 1990The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.610.61Chile0.7060.706China0.4840.484Democratic Republic of Congo0.3860.386India0.4340.434Niger0.2160.216South Korea0.7370.737United Kingdom0.8040.804United States0.8720.872Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg index fe8f09b443b..7db00eecf03 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg index a554291eb47..5ba1cdbf928 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg index a3ce84f29ad..a577289e21a 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg index 3eae4ccf319..bcd33670793 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg index 8855bb1869b..554958974e8 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg index 2346c00a183..6ec073818ee 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg index 543531423f1..286a1a8289e 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg index f8ef3f0eff5..a26d191881d 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg index 61dc16da568..4b094162395 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg index 7c86d2a8dcb..1f5c37b087c 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.United Kingdom0.9290.929South Korea0.9250.925United States0.9210.921Chile0.8550.855China0.7680.768Brazil0.7540.754India0.6330.633Nigeria0.5350.535Democratic Republic of Congo0.4790.479Niger0.40.4Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg index 19efdf160f4..047c227d1f6 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg index ba5d953492b..14083db4c80 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg index 65e93ea4849..5fd11a51a77 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg index 162f3afab7d..d9b18d4c6ef 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg index ecd7499e398..0dfea121495 100644 --- a/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg +++ b/all-views/svg/human-development-index?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v26_850x600.svg @@ -1 +1 @@ -Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file +Change in human Development Index, 2021The Human Development Index (HDI) is a summary measure of key dimensions of human development: a longand healthy life, a good education, and a decent standard of living. Higher values indicate higher humandevelopment.00.20.40.60.81Brazil0.7540.754Chile0.8550.855China0.7680.768Democratic Republic of Congo0.4790.479India0.6330.633Niger0.40.4Nigeria0.5350.535South Korea0.9250.925United Kingdom0.9290.929United States0.9210.921Data source: UNDP, Human Development Report (2021-22) (2022)OurWorldInData.org/human-development-index | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg index e63e6f6a810..7244f69d035 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.250.30.350.40.450.5After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwaySloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.250.30.350.40.450.5After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwaySloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg index 8bf1aaf42be..c9338480d43 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.250.30.350.40.450.5After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwaySloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.250.30.350.40.450.5After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwaySloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg index 360d3741e85..7b3940f189a 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.4After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwayAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.4After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwayAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg index 0bced4fd523..f20b1a67beb 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.4After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwayAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.4After tax0.20.250.30.350.40.45No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited KingdomUnited KingdomCanadaCanadaCzechiaCzechiaFinlandFinlandIcelandIcelandIrelandIrelandNorwayNorwayAfricaAsiaEuropeNorth AmericaOceaniaSouth America1B1B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg index 96e0cadeed3..7924e79e545 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v55_850x600.svg index 727ff072ea5..5e2d339e1bd 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandBulgariaBulgariaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandBulgariaBulgariaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg index f8453633c74..55babcd92b6 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v55_850x600.svg index 2d423ef6d35..c130fb5b930 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg index 66093b5d5ac..e0559c39358 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v55_850x600.svg index e7f2363ae6c..d56b6e8b5a0 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.30.40.50.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg index 86602f3d5b4..a8c45fcf089 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyIcelandIcelandSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v55_850x600.svg index fb4d658040b..a166c313e11 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyCanadaCanadaIcelandIcelandLithuaniaLithuaniaSlovakiaSlovakiaSloveniaSloveniaPolandPolandAustriaAustriaGermanyGermanyChileChileIsraelIsraelFranceFranceSwedenSwedenSouth AfricaSouth AfricaBelgiumBelgiumAfricaAsiaEuropeNorth AmericaOceaniaSouth America19992021Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg index 966b9373f39..f14b023e57d 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Average annual change in before tax-1.5%-1%-0.5%+0%+0.5%+1%Average annual change in after tax-2.5%-2%-1.5%-1%-0.5%+0%+0.5%No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaTurkeyTurkeyGermanyGermanyUnited KingdomUnited KingdomSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaSpainSpainPolandPolandAustraliaAustraliaCzechiaCzechiaGreeceGreeceHungaryHungaryPortugalPortugalIsraelIsraelEstoniaEstoniaLuxembourgLuxembourgBelgiumBelgiumNew ZealandNew ZealandAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.2B1.2B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 1999 to 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Average annual change in before tax-1.5%-1%-0.5%+0%+0.5%+1%Average annual change in after tax-2.5%-2%-1.5%-1%-0.5%+0%+0.5%No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfIndiaIndiaUnited StatesUnited StatesBrazilBrazilRussiaRussiaTurkeyTurkeyGermanyGermanyUnited KingdomUnited KingdomSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaSpainSpainPolandPolandAustraliaAustraliaCzechiaCzechiaGreeceGreeceHungaryHungaryPortugalPortugalIsraelIsraelEstoniaEstoniaLuxembourgLuxembourgBelgiumBelgiumNew ZealandNew ZealandAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.2B1.2B400M400MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg index fad32bb0810..a715e5bbbf4 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.250.30.350.40.450.50.550.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.250.30.350.40.450.50.550.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg index 3fe381834ee..1df90b29960 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumSwedenSwedenAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.30.40.50.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumSwedenSwedenAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg index 1f1aedffd25..7bd98d521bd 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.250.30.350.40.450.50.550.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.250.30.350.40.450.50.550.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg index 011bd346ed1..3a87fc0c70d 100644 --- a/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg +++ b/all-views/svg/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v55_850x600.svg @@ -1 +1 @@ -Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumSwedenSwedenAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file +Income inequality: Gini coefficient before and after tax, 2021Inequality is measured here in terms of the Gini coefficient of income before taxes on the x-axis, and after taxeson the y-axis.Before tax0.20.50.30.40.60.7After tax0.20.50.30.40.6No reductionNo reductionReduced by a thirdReduced by a thirdReduced by halfReduced by halfUnited StatesUnited StatesBrazilBrazilRussiaRussiaJapanJapanTurkeyTurkeyGermanyGermanySouth AfricaSouth AfricaPolandPolandChileChileBelgiumBelgiumSwedenSwedenAustriaAustriaSlovakiaSlovakiaIcelandIcelandSloveniaSloveniaAfricaAsiaEuropeNorth AmericaOceaniaSouth America300M300M100M100MCircles sized byPopulation(historicalestimates)Data source: OECD Income Distribution Database (2023)Note: Income has been equivalized.OurWorldInData.org/economic-inequality | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg index dc59938b46c..a8a98d62ec3 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg index f6807324241..ff4b5ed5e91 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg index 02e7daf82e7..4e345a5b635 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg index 929a426af83..27dd74745f5 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg index 91dddcdc19f..9517dc56b70 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=none_v17_850x600.svg b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=none_v17_850x600.svg index bba5fca0ae5..caa06b400b0 100644 --- a/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=none_v17_850x600.svg +++ b/all-views/svg/land-use-kcal-poore?tab=chart&time=latest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use of foods per 1000 kilocaloriesLand use is measured in meters squared (m²) required to produce 1000 kilocalories of a given food product.Beef (beef herd)119.49 m²119.49 m²Lamb & Mutton116.66 m²116.66 m²Cheese22.68 m²22.68 m²Beef (dairy herd)15.84 m²15.84 m²Milk14.92 m²14.92 m²Pig Meat7.26 m²7.26 m²Poultry Meat6.61 m²6.61 m²Fish (farmed)4.7 m²4.7 m²Eggs4.35 m²4.35 m²Tomatoes4.21 m²4.21 m²Bananas3.22 m²3.22 m²Oatmeal2.9 m²2.9 m²Prawns (farmed)2.88 m²2.88 m²Citrus Fruit2.69 m²2.69 m²Peas2.16 m²2.16 m²Nuts2.11 m²2.11 m²Cassava1.86 m²1.86 m²Groundnuts1.57 m²1.57 m²Wheat & Rye1.44 m²1.44 m²Apples1.31 m²1.31 m²Potatoes1.2 m²1.2 m²Root Vegetables0.89 m²0.89 m²Rice0.76 m²0.76 m²Maize0.65 m²0.65 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.Note: The median year of the studies involved in this research was 2010.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg index c3be45c0002..529b30251bd 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg index a311ff0b746..dd375fcb087 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg index ca9f2f613e4..82174a1335a 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=earliest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg index e4f1d4b3f1d..2d3687b0c66 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg index e95194ae0f7..fa05692f811 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=none_v17_850x600.svg b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=none_v17_850x600.svg index 10f4dad0874..eb5eac96bf8 100644 --- a/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=none_v17_850x600.svg +++ b/all-views/svg/land-use-per-kg-poore?tab=chart&time=latest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per kilogram of food productLand use is measured in meters squared (m²) per kilogram of a given food product.Lamb & Mutton369.81 m²369.81 m²Beef (beef herd)326.21 m²326.21 m²Cheese87.79 m²87.79 m²Dark Chocolate68.96 m²68.96 m²Beef (dairy herd)43.24 m²43.24 m²Coffee21.62 m²21.62 m²Pig Meat17.36 m²17.36 m²Nuts12.96 m²12.96 m²Poultry Meat12.22 m²12.22 m²Groundnuts9.11 m²9.11 m²Milk8.95 m²8.95 m²Fish (farmed)8.41 m²8.41 m²Peas7.46 m²7.46 m²Eggs6.27 m²6.27 m²Wheat & Rye3.85 m²3.85 m²Prawns (farmed)2.97 m²2.97 m²Maize2.94 m²2.94 m²Rice2.8 m²2.8 m²Bananas1.93 m²1.93 m²Potatoes0.88 m²0.88 m²Citrus Fruit0.86 m²0.86 m²Tomatoes0.8 m²0.8 m²Apples0.63 m²0.63 m²Data source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=entity_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=entity_v20_850x600.svg index 2c46dbabb8c..728fab02db1 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=entity_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=entity_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=metric_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=metric_v20_850x600.svg index 926d2b958f4..37234f3ce5c 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=metric_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=metric_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=none_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=none_v20_850x600.svg index d80c9f9bf05..ae203aaaac5 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=none_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=earliest&facet=none_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=entity_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=entity_v20_850x600.svg index 82d4a579b89..27e76d4cee8 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=entity_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=entity_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=metric_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=metric_v20_850x600.svg index cb408adfb30..bf2571277f5 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=metric_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=metric_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=none_v20_850x600.svg b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=none_v20_850x600.svg index b968163c7a4..3f4585bafd3 100644 --- a/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=none_v20_850x600.svg +++ b/all-views/svg/land-use-protein-poore?tab=chart&time=latest&facet=none_v20_850x600.svg @@ -1 +1 @@ -Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Land use per 100 grams of proteinLand use is measured in meters squared (m²) per 100 grams of protein across various food products.Lamb & Mutton184.8 m²184.8 m²Beef (beef herd)163.6 m²163.6 m²Cheese39.8 m²39.8 m²Milk27.1 m²27.1 m²Beef (dairy herd)21.9 m²21.9 m²Pig Meat10.7 m²10.7 m²Nuts7.9 m²7.9 m²Other Pulses7.3 m²7.3 m²Poultry Meat7.1 m²7.1 m²Eggs5.7 m²5.7 m²Grains4.6 m²4.6 m²Fish (farmed)3.7 m²3.7 m²Groundnuts3.5 m²3.5 m²Peas3.4 m²3.4 m²Prawns (farmed)2 m²2 m²Data source: Joseph Poore and Thomas Nemecek (2018). Additional calculations by Our World in Data.OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg index 25ef1e3d1ee..cdb8e49ae6a 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 yearsLife expectancy of women30 years40 years50 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaJapanJapanBrazilBrazilItalyItalyBangladeshBangladeshPakistanPakistanUkraineUkraineVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaPhilippinesPhilippinesNorth KoreaNorth KoreaTaiwanTaiwanAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqIsraelIsraelLiechtensteinLiechtensteinSierra LeoneSierra LeoneSudanSudanSyriaSyriaYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 yearsLife expectancy of women30 years40 years50 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaJapanJapanBrazilBrazilItalyItalyBangladeshBangladeshPakistanPakistanUkraineUkraineVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaPhilippinesPhilippinesNorth KoreaNorth KoreaTaiwanTaiwanAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqIsraelIsraelLiechtensteinLiechtensteinSierra LeoneSierra LeoneSudanSudanSyriaSyriaYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg index cb05c80fcd6..d110e5bb49a 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 yearsLife expectancy of women50 years30 years40 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaJapanJapanBrazilBrazilBangladeshBangladeshPakistanPakistanVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaPhilippinesPhilippinesNorth KoreaNorth KoreaAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqIsraelIsraelLiechtensteinLiechtensteinSierra LeoneSierra LeoneSudanSudanTuvaluTuvaluYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 yearsLife expectancy of women50 years30 years40 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaJapanJapanBrazilBrazilBangladeshBangladeshPakistanPakistanVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaPhilippinesPhilippinesNorth KoreaNorth KoreaAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqIsraelIsraelLiechtensteinLiechtensteinSierra LeoneSierra LeoneSudanSudanTuvaluTuvaluYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg index 0cd8f65533a..3c944acaa80 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years60 yearsLife expectancy of women30 years40 years50 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaBrazilBrazilItalyItalyBangladeshBangladeshPakistanPakistanSpainSpainVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaNorth KoreaNorth KoreaSri LankaSri LankaAfghanistanAfghanistanAndorraAndorraAntigua and BarbudaAntigua and BarbudaBritish Virgin IslandsBritish Virgin IslandsIraqIraqSaint Pierre and MiquelonSaint Pierre and MiquelonSerbiaSerbiaSierra LeoneSierra LeoneSyriaSyriaYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years60 yearsLife expectancy of women30 years40 years50 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaBrazilBrazilItalyItalyBangladeshBangladeshPakistanPakistanSpainSpainVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaNorth KoreaNorth KoreaSri LankaSri LankaAfghanistanAfghanistanAndorraAndorraAntigua and BarbudaAntigua and BarbudaBritish Virgin IslandsBritish Virgin IslandsIraqIraqSaint Pierre and MiquelonSaint Pierre and MiquelonSerbiaSerbiaSierra LeoneSierra LeoneSyriaSyriaYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg index 28ad5471f1a..6b50dba3a86 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years60 yearsLife expectancy of women50 years30 years40 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaBrazilBrazilBangladeshBangladeshPakistanPakistanVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaNorth KoreaNorth KoreaSri LankaSri LankaAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqSierra LeoneSierra LeoneYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years60 yearsLife expectancy of women50 years30 years40 years60 years70 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesRussiaRussiaBrazilBrazilBangladeshBangladeshPakistanPakistanVietnamVietnamEgyptEgyptSouth KoreaSouth KoreaNorth KoreaNorth KoreaSri LankaSri LankaAfghanistanAfghanistanBritish Virgin IslandsBritish Virgin IslandsIraqIraqSierra LeoneSierra LeoneYemenYemenAfricaAsiaEuropeNorth AmericaOceaniaSouth America500M500M200M200MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg index 504d9933613..17bd7a7fbfc 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women20 years30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanDemocratic Republic of CongoDemocratic Republic of CongoMaliMaliSomaliaSomaliaUgandaUgandaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women20 years30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanDemocratic Republic of CongoDemocratic Republic of CongoMaliMaliSomaliaSomaliaUgandaUgandaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v32_850x600.svg index 50a0c7199b9..68bb3d4da8e 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=1_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaJapanJapanEgyptEgyptDemocratic Republic of CongoDemocratic Republic of CongoSomaliaSomaliaSouth AfricaSouth AfricaTokelauTokelauTuvaluTuvaluAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaJapanJapanEgyptEgyptDemocratic Republic of CongoDemocratic Republic of CongoSomaliaSomaliaSouth AfricaSouth AfricaTokelauTokelauTuvaluTuvaluAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg index d09715f5d00..d0e10798ca0 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women20 years50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesNigeriaNigeriaDemocratic Republic of CongoDemocratic Republic of CongoIraqIraqLiberiaLiberiaUgandaUgandaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women20 years50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesNigeriaNigeriaDemocratic Republic of CongoDemocratic Republic of CongoIraqIraqLiberiaLiberiaUgandaUgandaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v32_850x600.svg index ba6c756e209..c8f8793260c 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=1_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesNigeriaNigeriaRussiaRussiaDemocratic Republic of CongoDemocratic Republic of CongoMalawiMalawiPeruPeruSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years30 years40 years50 years60 years70 years80 yearsLife expectancy of women50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesNigeriaNigeriaRussiaRussiaDemocratic Republic of CongoDemocratic Republic of CongoMalawiMalawiPeruPeruSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg index 6eb943d1b5e..b4b1a67a25f 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women20 years30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaJapanJapanDemocratic Republic of CongoDemocratic Republic of CongoMaliMaliPolandPolandSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women20 years30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaJapanJapanDemocratic Republic of CongoDemocratic Republic of CongoMaliMaliPolandPolandSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v32_850x600.svg index 8fb9c107310..8f9490d1656 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=1_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaJapanJapanEgyptEgyptDemocratic Republic of CongoDemocratic Republic of CongoBeninBeninPapua New GuineaPapua New GuineaSomaliaSomaliaSouth AfricaSouth AfricaTurkmenistanTurkmenistanAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women30 years40 years50 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaJapanJapanEgyptEgyptDemocratic Republic of CongoDemocratic Republic of CongoBeninBeninPapua New GuineaPapua New GuineaSomaliaSomaliaSouth AfricaSouth AfricaTurkmenistanTurkmenistanAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg index 62d1c02019b..67643803d4a 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women20 years50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaNigeriaNigeriaDemocratic Republic of CongoDemocratic Republic of CongoIranIranLiberiaLiberiaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women20 years50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaNigeriaNigeriaDemocratic Republic of CongoDemocratic Republic of CongoIranIranLiberiaLiberiaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v32_850x600.svg index 386c429d59d..67a7c537f66 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=1_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaNigeriaNigeriaRussiaRussiaDemocratic Republic of CongoDemocratic Republic of CongoKenyaKenyaSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Life expectancy of men20 years50 years30 years40 years70 yearsLife expectancy of women50 years30 years40 years60 years70 years80 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaNigeriaNigeriaRussiaRussiaDemocratic Republic of CongoDemocratic Republic of CongoKenyaKenyaSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America19502021Data source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg index b2c736ee5a3..1d680360196 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=earliest..latest&stackMode=relative&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Average annual change in life expectancy of men+0.5%+1%+1.5%+2%+2.5%Average annual change in life expectancy of women+0.2%+0.4%+0.6%+0.8%+1%+1.2%+1.4%+1.6%+1.8%Equal life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesPakistanPakistanBrazilBrazilRussiaRussiaMexicoMexicoPhilippinesPhilippinesSouth KoreaSouth KoreaSudanSudanIraqIraqAfghanistanAfghanistanNorth KoreaNorth KoreaMaliMaliAlbaniaAlbaniaLatviaLatviaSierra LeoneSierra LeoneAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 1950 to 2021The period life expectancy at birth, in a given year.Average annual change in life expectancy of men+0.5%+1%+1.5%+2%+2.5%Average annual change in life expectancy of women+0.2%+0.4%+0.6%+0.8%+1%+1.2%+1.4%+1.6%+1.8%Equal life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesPakistanPakistanBrazilBrazilRussiaRussiaMexicoMexicoPhilippinesPhilippinesSouth KoreaSouth KoreaSudanSudanIraqIraqAfghanistanAfghanistanNorth KoreaNorth KoreaMaliMaliAlbaniaAlbaniaLatviaLatviaSierra LeoneSierra LeoneAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg index 3289b09c8aa..3604c87808a 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoUnited KingdomUnited KingdomSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaArgentinaArgentinaMoroccoMoroccoCote d'IvoireCote d'IvoireBoliviaBoliviaEswatiniEswatiniGambiaGambiaLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoUnited KingdomUnited KingdomSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaArgentinaArgentinaMoroccoMoroccoCote d'IvoireCote d'IvoireBoliviaBoliviaEswatiniEswatiniGambiaGambiaLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg index fc564728629..e2183d9ee74 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=linear&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoTurkeyTurkeyUnited KingdomUnited KingdomSouth AfricaSouth AfricaSouth KoreaSouth KoreaMoroccoMoroccoSaudi ArabiaSaudi ArabiaMadagascarMadagascarCote d'IvoireCote d'IvoireBurundiBurundiEswatiniEswatiniLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaUnited Arab EmiratesUnited Arab EmiratesAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoTurkeyTurkeyUnited KingdomUnited KingdomSouth AfricaSouth AfricaSouth KoreaSouth KoreaMoroccoMoroccoSaudi ArabiaSaudi ArabiaMadagascarMadagascarCote d'IvoireCote d'IvoireBurundiBurundiEswatiniEswatiniLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaUnited Arab EmiratesUnited Arab EmiratesAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg index d8c56ca686b..6a0e18bbc0a 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=linear&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaAlgeriaAlgeriaCote d'IvoireCote d'IvoireBoliviaBoliviaDenmarkDenmarkEswatiniEswatiniGambiaGambiaJordanJordanLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaUnited StatesUnited StatesBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoSouth AfricaSouth AfricaItalyItalySouth KoreaSouth KoreaAlgeriaAlgeriaCote d'IvoireCote d'IvoireBoliviaBoliviaDenmarkDenmarkEswatiniEswatiniGambiaGambiaJordanJordanLesothoLesothoMoldovaMoldovaPalauPalauSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg index 66e34839f44..c8379d3246e 100644 --- a/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg +++ b/all-views/svg/life-expectancy-of-women-vs-life-expectancy-of-men?tab=chart&time=latest&stackMode=absolute&xScale=log&yScale=log&endpointsOnly=0_v32_850x600.svg @@ -1 +1 @@ -Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoTurkeyTurkeySouth AfricaSouth AfricaSouth KoreaSouth KoreaMalaysiaMalaysiaMadagascarMadagascarCote d'IvoireCote d'IvoireBelgiumBelgiumBurundiBurundiEswatiniEswatiniLesothoLesothoMoldovaMoldovaPalauPalauQatarQatarSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy: females versus males, 2021The period life expectancy at birth, in a given year.Life expectancy of men55 years60 years65 years70 years75 years80 yearsLife expectancy of women55 years60 years65 years70 years75 years80 years85 yearsEqual life expectancyEqual life expectancyChinaChinaIndiaIndiaBrazilBrazilNigeriaNigeriaBangladeshBangladeshRussiaRussiaJapanJapanEthiopiaEthiopiaEgyptEgyptVietnamVietnamDemocratic Republic of CongoDemocratic Republic of CongoTurkeyTurkeySouth AfricaSouth AfricaSouth KoreaSouth KoreaMalaysiaMalaysiaMadagascarMadagascarCote d'IvoireCote d'IvoireBelgiumBelgiumBurundiBurundiEswatiniEswatiniLesothoLesothoMoldovaMoldovaPalauPalauQatarQatarSomaliaSomaliaAfricaAsiaEuropeNorth AmericaOceaniaSouth America1.4B1.4B600M600MCircles sized byPopulationData source: UN, World Population Prospects (2022)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg index b89317fc00b..2ca7bf79aba 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg index 0fb04d228cc..9591e76b7ad 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg index cb050022643..f4f560c62ea 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg index 5fa7a9c16a9..1713ccc3e17 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg index 2260a9e1835..760f8f0150a 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg index 5f96ad05c16..4abe5a83d7a 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg index 750c974e3f1..1093389a562 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg index 3ddead06bf8..ebc836e1d05 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg index ff35782ae23..09baf9b3eba 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg index c3b91efd7e0..70a42721ee5 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 1770The period life expectancy at birth, in a given year.Americas34.8 years34.8 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsAsia27.5 years27.5 yearsAfrica26.4 years26.4 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg index 20f2dbbf6e4..60149a2512a 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg index 8e39fe89a5e..d50a1ac4fc8 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg index e9351757ac1..8f38b07017f 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg index aec1ebcd10e..2c140dc2242 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg index a8c766dfad6..1b0198e0fe0 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 1770The period life expectancy at birth, in a given year.0 years5 years10 years15 years20 years25 years30 yearsAfrica26.4 years26.4 yearsAmericas34.8 years34.8 yearsAsia27.5 years27.5 yearsEurope34.3 years34.3 yearsWorld28.5 years28.5 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg index 1b609b29660..69ff81f3a31 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg index 9917b47c9a2..7159da65bbb 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg index bb8da8c9e20..716fe31f842 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg index 206973ff778..fb6291870be 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg index f2168073568..0e4edd60365 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg index 3c809a5eae4..6e84049e0de 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg index e55b747d8da..08ea7122ad3 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg index eba193b4a0e..310e6761628 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg index 804cf75cabe..b866f109d38 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg index afcb6ce52b1..ae71231fa81 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Life expectancy, 2021The period life expectancy at birth, in a given year.Oceania79.4 years79.4 yearsEurope77 years77 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsWorld71 years71 yearsAfrica61.7 years61.7 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg index 0f415c4874b..36c386c23ab 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg index 586719c2983..77ba5876140 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg index b98fa175f64..193b8f9d5e7 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg index ef43f843599..0fc3539f3ad 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg index 5165719911d..7fdd3b91b60 100644 --- a/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg +++ b/all-views/svg/life-expectancy?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v58_850x600.svg @@ -1 +1 @@ -Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file +Change in life expectancy, 2021The period life expectancy at birth, in a given year.0 years10 years20 years30 years40 years50 years60 years70 yearsAfrica61.7 years61.7 yearsAmericas74.2 years74.2 yearsAsia72.5 years72.5 yearsEurope77 years77 yearsOceania79.4 years79.4 yearsWorld71 years71 yearsData source: UN WPP (2022); HMD (2023); Zijdeman et al. (2015); Riley (2005)OurWorldInData.org/life-expectancy | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg index 8651df14047..e7fcd370069 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg index 00567fe5c85..acf848482db 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg index 5d29891e877..410bb569791 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg index 2d0ae121917..5771d8515f7 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg index 31dc32ff427..40c1a56167f 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg index fdba3b8f1a4..3d52a14ef06 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg index f81819c6cfe..4911e088a09 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg index 63af802041e..e66a670dd33 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg index 44f38e8bbc6..900bd921676 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg index 60f791d13f1..81e9863d5a0 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimatesUnited Kingdom33.933.9United States29.329.3Russia23.423.4China22.222.2Japan21.221.2India2020Nigeria18.118.1Brazil17.517.5Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg index 3876c3089f1..b2d974551d5 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg index 949b7558674..6a11d8a7f04 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg index 91e56c2e2a9..405ef443b35 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg index fb42a789ba4..f6a1dbc2c7f 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg index 701a04b6c5d..e1f5ae2c684 100644 --- a/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 1950The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates051015202530Brazil17.517.5China22.222.2India2020Japan21.221.2Nigeria18.118.1Russia23.423.4United Kingdom33.933.9United States29.329.3Median ageMedian age

No matching data

Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg index d3de5d5976d..fa2441b124b 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg index c80db7456d6..52c82889ebf 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg index 6e2d6e6b960..c7dc20b4c5a 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg index 12633e38c04..cee8b225cd1 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg index 1fece27ef52..b25e8ca2d1d 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg index 1698bdf0376..de845033869 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg index 1818240e241..22aabffd6a5 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg index 56d815a8548..8b5604a430c 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg index ab4f8da0eed..14fc5e10835 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg index 412c92ed99d..c769a2c03fc 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian ageChina56.856.8Japan54.454.4Brazil50.450.4United Kingdom49.249.2India47.547.5United States47.347.3Russia46.246.2Nigeria34.534.5Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg index 5b1d8fc6481..cbc10c16fc3 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg index d2bb3daf83c..e46fa5c2a36 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg index 925e78cc8b0..6842b6853e5 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg index bde7b848cdd..3ca58197b28 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg index 6df9f3fea46..9873b5aa0c4 100644 --- a/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg +++ b/all-views/svg/median-age?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v30_850x600.svg @@ -1 +1 @@ -Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file +Change in median age, 2100The median age splits the population into two equal groups, with as many people older than it as people youngerthan it. Future projections are based on the UN medium-fertility scenario.Median age - Sex: all - Age: all - Variant: estimatesMedian age - Sex: all - Age: all - Variant: estimates

No matching data

Median ageMedian age01020304050Brazil50.450.4China56.856.8India47.547.5Japan54.454.4Nigeria34.534.5Russia46.246.2United Kingdom49.249.2United States47.347.3Data source: United Nations, World Population Prospects (2022)OurWorldInData.org/age-structure | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index 21aafbe3d76..edbacfdfd77 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 99b589be96d..0764f7d16d8 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg index 772b5f803f8..87fdb270047 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index 90089707d9f..ecf1302bee0 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index fef0d0434d1..0c925b959f1 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg index 61fcbeb3da5..35910da8f82 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg index fdec09ce4e0..e7ca0f4f7be 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg index 437a3ad028d..620d90622bf 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 1827Total value of merchandise exports divided by gross domestic product, expressed as a percentage.United Kingdom9.6%9.6%United States8.7%8.7%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git 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a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg index 8d8fdddbe75..ee223e37852 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg index 035ea56c2d6..2a5c950d9a3 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.China22.9%22.9%United Kingdom15.4%15.4%Brazil10%10%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index c801172ff13..d1416e17cd1 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 796b143511c..9be15708546 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg index a2120c9267e..2f7abcff2bb 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index 8182861ca83..f5042313688 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index 481191ebf15..97755e6b0ba 100644 --- a/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/merchandise-exports-gdp-cepii?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file +Change in value of exported goods as a share of GDP, 2014Total value of merchandise exports divided by gross domestic product, expressed as a percentage.0%5%10%15%20%Brazil10%10%China22.9%22.9%United Kingdom15.4%15.4%United States9.3%9.3%Data source: Fouquin and Hugot (CEPII 2016)OurWorldInData.org/trade-and-globalization | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=entity_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=entity_v15_850x600.svg index 599dfdae6c2..31e65209791 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=entity_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=entity_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=metric_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=metric_v15_850x600.svg index 67507c5dce5..f463e14f96c 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=metric_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=metric_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=none_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=none_v15_850x600.svg index ef31bb4cd94..0fccc14cde2 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=none_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=earliest&facet=none_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=entity_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=entity_v15_850x600.svg index 3df3189bd0e..8332f1e413f 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=entity_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=entity_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=metric_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=metric_v15_850x600.svg index a1a0b9f07dd..bdca0f51dee 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=metric_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=metric_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=none_v15_850x600.svg b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=none_v15_850x600.svg index 6e4b615c5ed..4ca2e9ca450 100644 --- a/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=none_v15_850x600.svg +++ b/all-views/svg/mismanaged-plastic-waste-per-capita?tab=chart&time=latest&facet=none_v15_850x600.svg @@ -1 +1 @@ -Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Mismanaged plastic waste per capita, 2019Mismanaged plastic waste is waste that is not recycled, incinerated, or kept in sealed landfills. It includesmaterials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills anddumpsites.Brazil15.62 kg15.62 kgGambia14.95 kg14.95 kgIndia9.51 kg9.51 kgChina8.56 kg8.56 kgMorocco8.1 kg8.1 kgMyanmar8.04 kg8.04 kgSenegal4.03 kg4.03 kgIndonesia3.05 kg3.05 kgChile1.62 kg1.62 kgUnited States0.81 kg0.81 kgUnited Kingdom0.44 kg0.44 kgJapan0.28 kg0.28 kgData source: Meijer et al. (2021).OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg index e90510a995d..d3dfe443c8a 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=entity_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg index a04934c702c..95a9d6deeea 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=metric_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg index 39878ca58ac..84f38b981b7 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=earliest&facet=none_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 1980Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Iran13.32 trillion m³13.32 trillion m³United States5.4 trillion m³5.4 trillion m³Saudi Arabia3.02 trillion m³3.02 trillion m³Qatar2.9 trillion m³2.9 trillion m³United Arab Emirates2.31 trillion m³2.31 trillion m³Venezuela1.4 trillion m³1.4 trillion m³Nigeria1.1 trillion m³1.1 trillion m³Iraq738.53 billion m³738.53 billion m³China708.33 billion m³708.33 billion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg index c2cb33103bc..b350edda552 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=entity_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg index b7d7fe5a4e0..ceae1491dc5 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=metric_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg index d42783075c8..bba74ee7f2d 100644 --- a/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg +++ b/all-views/svg/natural-gas-proved-reserves?tab=chart&time=latest&facet=none_v21_850x600.svg @@ -1 +1 @@ -Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file +Gas reserves, 2020Proved reserves, measured in cubic meters, are generally those quantities that can be recovered in the futurefrom known reservoirs under existing economic and operating conditions, according to geological and engineeringinformation.Russia37.39 trillion m³37.39 trillion m³Iran32.1 trillion m³32.1 trillion m³Qatar24.67 trillion m³24.67 trillion m³Turkmenistan13.6 trillion m³13.6 trillion m³United States12.62 trillion m³12.62 trillion m³China8.4 trillion m³8.4 trillion m³Venezuela6.26 trillion m³6.26 trillion m³Saudi Arabia6.02 trillion m³6.02 trillion m³United Arab Emirates5.94 trillion m³5.94 trillion m³Nigeria5.47 trillion m³5.47 trillion m³Iraq3.53 trillion m³3.53 trillion m³Azerbaijan2.5 trillion m³2.5 trillion m³Data source: Energy Institute - Statistical Review of World Energy (2023)OurWorldInData.org/fossil-fuels | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index b08b57cd1d0..1dd92e453e0 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 9a7db5512b5..65cbace6d07 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg index 320ed3acce2..a886073db61 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index ccc1886b0fc..38ddedc2024 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index 8ca124ddb20..ffa49f0b67a 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg index 992bf2d6620..7ca23320a9a 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg index 4a74642be1b..d518ee0a96a 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg index 0c61659d5b1..89c71c4495d 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg index 52fef4f58f5..116570aa577 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg index 419a26885f1..46514c8fa29 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index b67e884848e..cb7d4b62885 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 90990dbc74f..63b95353d85 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg index 6ac97c6bf6d..5939fc812b4 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index fec14473e17..d4ba5176eff 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index b4612712be1..a89d07c59d1 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 1950Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.010 million20 million30 million40 million48.79 million48.79 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index bb8f993e218..49bfb3ffc84 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 3669e89391d..4418472d67d 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg 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Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index 59ff5cd3536..625305d972e 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index 750dfa21c26..ee14c1cbf92 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v21_850x600.svg 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World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg index 5d84833ea02..81ae3c562d3 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg index 72b0766bf32..fc2a85032b7 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v21_850x600.svg 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World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg index 637599674e9..1801ce17569 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected dataProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg index e7735d74937..ee20fc87baa 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg index 4014a713015..635543349af 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg index 655ece3801b..9fc79b699a1 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg index 59dbd63cf55..9f8cbec3af9 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg index ba26164b71e..35c79dcde8e 100644 --- a/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg +++ b/all-views/svg/number-of-deaths-per-year?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v21_850x600.svg @@ -1 +1 @@ -Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Deaths per year, World, 2100Historic estimates from 1950 to 2021, and projected to 2100 based on the UN medium-fertility scenario.Projected data020 million40 million60 million80 million100 million120 millionProjected122.81 million122.81 millionData source: United Nations, World Population Prospects (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg index 91f07a791f4..524386895a5 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg index 12d94e9f546..60d9733adec 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg index fdcc3053289..dda37a88388 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg index 9085077ff63..bd4d4116ad0 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg index 4bcabcd3e69..b8bd039a989 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg index 2184a50cb63..2eff046d727 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg index bc93da17ce9..a7a29ddb0c3 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg index 268543ca3cf..4f6d9e9712d 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg index 2500dad51e7..7fe09316dad 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg index 66f32b300f6..1a08a946abc 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.United States76,117 kWh76,117 kWhCanada70,550 kWh70,550 kWhUnited Kingdom42,711 kWh42,711 kWhFrance27,189 kWh27,189 kWhChina2,122 kWh2,122 kWhIndia1,239 kWh1,239 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg index 40ae0baa1da..354b18f7175 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg index 301198843e0..030607d2156 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg index 9b74bc65a03..dc27e191d93 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg index b3d259293f1..739aff7f6fa 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg index 956fa5f2eae..29dab43957d 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 1965Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh10,000 kWh20,000 kWh30,000 kWh40,000 kWh50,000 kWh60,000 kWh70,000 kWhCanada70,550 kWh70,550 kWhChina2,122 kWh2,122 kWhFrance27,189 kWh27,189 kWhIndia1,239 kWh1,239 kWhUnited Kingdom42,711 kWh42,711 kWhUnited States76,117 kWh76,117 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg index 0d560304354..2f6fe53925a 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg index 7aaf7284efd..a51af6bd7c1 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg index ab0b7617b4a..52d80bb7f32 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg index 81f027af7db..9f7a54b3122 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg index c8f1a87d5a1..169a48cc72b 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg index 3d2517c16d4..00571bf9ccd 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg index 3b6b480b892..c987cde74d4 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg index 664653a8a4a..b7354c710ce 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg index 30fb4205904..92efea55d2d 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg index f34b4990f16..d6365479a29 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.Canada102,160 kWh102,160 kWhUnited States78,754 kWh78,754 kWhFrance36,052 kWh36,052 kWhChina31,051 kWh31,051 kWhUnited Kingdom30,098 kWh30,098 kWhIndia7,143 kWh7,143 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg index 19cc49f9777..8eb6f979b1d 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg index cc29da9df11..22192a49b64 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg index 488cabe2c4e..fbfd938a8d3 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg index 59c87d6a24d..d19ad604a32 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg index d7d621dc6ee..9c85847b7c3 100644 --- a/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg +++ b/all-views/svg/per-capita-energy-use?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v34_850x600.svg @@ -1 +1 @@ -Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file +Energy use per person, 2022Measured in kilowatt-hours per person. Here, energy refers to primary energy using the substitution method.0 kWh20,000 kWh40,000 kWh60,000 kWh80,000 kWh100,000 kWhCanada102,160 kWh102,160 kWhChina31,051 kWh31,051 kWhFrance36,052 kWh36,052 kWhIndia7,143 kWh7,143 kWhUnited Kingdom30,098 kWh30,098 kWhUnited States78,754 kWh78,754 kWhData source: U.S. Energy Information Administration (2023); Energy Institute - Statistical Review of World Energy (2023); Populationbased on various sources (2023)OurWorldInData.org/energy | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=entity_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=entity_v10_850x600.svg index 2405a331125..30959893e16 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=entity_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=entity_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutionalproducts13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutional products13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=metric_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=metric_v10_850x600.svg index 70238672b34..678d1221756 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=metric_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=metric_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutionalproducts13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutional products13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=none_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=none_v10_850x600.svg index 50666550fdb..473a406d9e4 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=none_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=earliest&facet=none_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutionalproducts13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 1990Global plastic waste generation is measured in tonnes per year.Packaging39.82 million t39.82 million tBuilding and construction21.87 million t21.87 million tOther19.43 million t19.43 million tTransportation16.92 million t16.92 million tConsumer and institutional products13.77 million t13.77 million tTextile sector11.64 million t11.64 million tElectronics5.25 million t5.25 million tIndustrial machinery817,000 t817,000 tRoad marking195,000 t195,000 tMarine coatings163,000 t163,000 tPersonal care products7,000 t7,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=entity_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=entity_v10_850x600.svg index e70509c2bc3..2ecf277f8ce 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=entity_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=entity_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutionalproducts46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutional products46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=metric_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=metric_v10_850x600.svg index e1bed539c6e..288b76662a7 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=metric_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=metric_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutionalproducts46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutional products46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=none_v10_850x600.svg b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=none_v10_850x600.svg index 1d48c65adb4..d0fa900dd5e 100644 --- a/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=none_v10_850x600.svg +++ b/all-views/svg/plastic-waste-by-sector?tab=chart&time=latest&facet=none_v10_850x600.svg @@ -1 +1 @@ -Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutionalproducts46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Annual global plastic waste generation by industrial sector, 2019Global plastic waste generation is measured in tonnes per year.Packaging142.6 million t142.6 million tBuilding and construction76.89 million t76.89 million tOther66.32 million t66.32 million tTransportation62.17 million t62.17 million tConsumer and institutional products46.66 million t46.66 million tTextile sector43.88 million t43.88 million tElectronics17.31 million t17.31 million tIndustrial machinery2.68 million t2.68 million tRoad marking682,000 t682,000 tMarine coatings541,000 t541,000 tPersonal care products27,000 t27,000 tData source: OECD (2022)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=entity_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=entity_v9_850x600.svg index 3a5e1381dba..d6350836884 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=entity_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=entity_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=metric_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=metric_v9_850x600.svg index 0e77e7e3268..3faab668c74 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=metric_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=metric_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=none_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=none_v9_850x600.svg index 2ca4afe1498..9eaca2d12fa 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=none_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=earliest&facet=none_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=entity_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=entity_v9_850x600.svg index 59d44584d75..76f409dace6 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=entity_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=entity_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=metric_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=metric_v9_850x600.svg index f8db3a6cde6..e5a846f5337 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=metric_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=metric_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=none_v9_850x600.svg b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=none_v9_850x600.svg index 5611d5a1636..db3621f9231 100644 --- a/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=none_v9_850x600.svg +++ b/all-views/svg/plastic-waste-generation-total?tab=chart&time=latest&facet=none_v9_850x600.svg @@ -1 +1 @@ -Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file +Plastic waste generation, 2010This measures total plastic waste generation prior to management and therefore does not represent the quantityof plastic at risk of polluting waterways, rivers and the ocean environment.China59.08 million t59.08 million tUnited States37.83 million t37.83 million tGermany14.48 million t14.48 million tEgypt5.46 million t5.46 million tIndia4.49 million t4.49 million tData source: Jambeck et al. (2015)OurWorldInData.org/plastic-pollution | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg index 04d9db97f81..febd6222287 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg index 1bbaa2a6485..023b45b27d8 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg index da139a2cdba..8a9ff1c06ee 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg index f7aa16ddb4e..af21745b85d 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg index cd60e5d7544..bc11767f5a7 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg index abf974aa49f..70b3af1f80b 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg index 31821c6ac9d..271120bee1f 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg index 3dcc52b4553..a47da9f5656 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg index 27a290de04f..34451f6ba38 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg index 24104bf194c..059e28a9446 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land areaSouth America0.060.06North America0.060.06Asia0.040.04Oceania0.030.03Europe0.020.02Africa<0.01<0.01Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg index 3ec0e804943..c49001fdc17 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg index 8056e698a45..8423bce51c2 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg index 429a483c6d8..36f02481a56 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg index e191503ccdd..1bc56da3544 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg index 43169715f16..4b011f9ce92 100644 --- a/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 10,000 BCEThe number of people per km² of land area00.010.020.030.040.050.06Africa<0.01<0.01Asia0.040.04Europe0.020.02North America0.060.06Oceania0.030.03South America0.060.06Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg index 137776cae82..aa8c5bd77d1 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg index 2684af717b1..270e4a48f70 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg index 3bef56e12dd..81b0000bf06 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg index 549f85155fa..a5a1576c301 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg index e6c83d8863d..4070d91ca66 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg index bfa6b40523a..c4c98d8e1c1 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg index fb61bc37c71..23b7102caa8 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg index 2ee30e942e3..639bde91214 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg index 6681b046f1a..ad86a71a2e6 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg index d301843743e..5e28a8b9170 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land areaAsia150.3150.3Africa131.16131.16North America31.5931.59Europe26.5526.55South America24.3824.38Oceania8.098.09Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg index 6d6331dde12..1d6e79186f0 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg index 6ebb7dc80d5..131b6d78f81 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg index 4890c9599dc..84d26c60b87 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg index c742fa3a18a..7d10b96f11c 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg index 87a9f6b226e..6559809ca1a 100644 --- a/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg +++ b/all-views/svg/population-density?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v47_850x600.svg @@ -1 +1 @@ -Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population density, 2100The number of people per km² of land area020406080100120140Africa131.16131.16Asia150.3150.3Europe26.5526.55North America31.5931.59Oceania8.098.09South America24.3824.38Data source: HYDE (2017); Gapminder (2022); UN WPP (2022); UN FAO (2022)OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index 42048e40fba..a63d3540692 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 55b889d3e49..8cc2b3c27e8 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index 075b8921984..86af6b8a29c 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index 18ce18fc26d..e6651c1d8d3 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index d563e32730c..e07bc4dd0f2 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg index d91fb3d4267..032c1183701 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg index 1aea06213cd..24918ab79fe 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg index b22a3192cd3..7e5bc6406c7 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg index 7432941b594..b1b8cb4689d 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg index bcf74613531..077b4f6126b 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 10,000 BCEWorld4.43 million4.43 millionAsia1.18 million1.18 millionNorth America1.18 million1.18 millionSouth America1.1 million1.1 millionEurope482,840482,840Oceania260,417260,417Africa227,636227,636Data source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index e5641bfd7f4..6e90d9bfb6d 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 2ba7125acb8..0968efd615a 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index ab9884edc0c..58de8890878 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index f12d7d9490f..17491ff4367 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index cfd55c291c9..995098c767a 100644 --- a/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 10,000 BCE01 million2 million3 million4 millionAfrica227,636227,636Asia1.18 million1.18 millionEurope482,840482,840North America1.18 million1.18 millionOceania260,417260,417South America1.1 million1.1 millionWorld4.43 million4.43 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index e883792a1a8..d7b42fd345f 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 7d86c2f13b8..fcddd422884 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index 6171b452533..3d85baa43f3 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index 527be8e321a..422560c8502 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index 135ef3865f0..32c1f373418 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg index f78e4cb251a..b5d51303bcc 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg index 6023f640c57..2cb6ddf0304 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg index 921e2047c86..57cbd67d7fb 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg index 962a4924230..551210fbbbf 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg index 6cd75826a5c..f6a1643f280 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Population, 2021World7.91 billion7.91 billionAsia4.69 billion4.69 billionAfrica1.39 billion1.39 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionSouth America434.25 million434.25 millionOceania44.49 million44.49 millionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg index daf9c982b9e..bc1924c7e25 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg index 5fe8683421a..5d27fd3b1d0 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg index f6d0345f95a..966461fb60e 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg index a882017cfc4..e0bcfb387f3 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v52_850x600.svg @@ -1 +1 @@ -Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg index 370d48f158f..32f2b877036 100644 --- a/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg +++ b/all-views/svg/population?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v52_850x600.svg @@ -1 +1 @@ -Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file +Change in population, 202101 billion2 billion3 billion4 billion5 billion6 billion7 billionAfrica1.39 billion1.39 billionAsia4.69 billion4.69 billionEurope746.42 million746.42 millionNorth America597.12 million597.12 millionOceania44.49 million44.49 millionSouth America434.25 million434.25 millionWorld7.91 billion7.91 billionData source: HYDE (2017); Gapminder (2022); UN (2022)Note: Historical country data is shown based on today's geographical borders.OurWorldInData.org/population-growth | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=entity_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=entity_v4_850x600.svg index 5a72db68087..7ff298dcc16 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=entity_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=entity_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=metric_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=metric_v4_850x600.svg index ba703fd3fd9..73446f977e5 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=metric_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=metric_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=none_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=none_v4_850x600.svg index 6f4ca93b327..a191d40e715 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=none_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=earliest&facet=none_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=entity_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=entity_v4_850x600.svg index 34829cc5331..8d32bb7a347 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=entity_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=entity_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=metric_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=metric_v4_850x600.svg index 91d7d8061bc..f61e9c9ac83 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=metric_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=metric_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=none_v4_850x600.svg b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=none_v4_850x600.svg index 1c08862d181..0c67c6e44f4 100644 --- a/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=none_v4_850x600.svg +++ b/all-views/svg/protein-efficiency-of-meat-and-dairy-production?tab=chart&time=latest&facet=none_v4_850x600.svg @@ -1 +1 @@ -Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file +Protein efficiency of meat and dairy productionThe protein efficiency of meat and dairy production is defined as the percentage of protein inputs as feedeffectively converted to animal product. An efficiency of 25% would mean 25% of protein in animal feed inputswere effectively converted to animal product; the remaining 75% would be lost during conversion.Eggs25%25%Whole Milk24%24%Poultry19.6%19.6%Pork8.5%8.5%Lamb/mutton6.3%6.3%Beef3.8%3.8%Data source: Alexander et al. (2016). Human appropriation of land for food: the role of diet. Global Environmental Change.OurWorldInData.org/meat-production | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=entity_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=entity_v3_850x600.svg index c06adb09c81..bade5118bdb 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=entity_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=metric_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=metric_v3_850x600.svg index 01a8c8d1073..e8dfe7313cb 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=metric_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=none_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=none_v3_850x600.svg index 348e2519b25..7c903add920 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=none_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=earliest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2015The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6866.6Japan642.6 in 2016642.6 in 2016Indonesia490.4 in 2016490.4 in 2016Brazil453.8 in 2016453.8 in 2016Russia372.2 in 2016372.2 in 2016Mexico334.6334.6China210.2 in 2016210.2 in 2016India158.8158.8Pakistan86 in 201686 in 2016Nigeria62.2 in 201662.2 in 2016Bangladesh18 in 201618 in 2016Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=entity_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=entity_v3_850x600.svg index f993ef3d9c8..be078afb4c3 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=entity_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=metric_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=metric_v3_850x600.svg index 6635e3eebdf..6520876c8a7 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=metric_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=none_v3_850x600.svg b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=none_v3_850x600.svg index 6b97c557281..104d8b34248 100644 --- a/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=none_v3_850x600.svg +++ b/all-views/svg/registered-vehicles-per-1000-people?tab=chart&time=latest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file +Registered vehicles per 1,000 people, 2016The total number of registered vehicles (i.e. vehicles reported to a government agency and given some form ofregistration) per 1,000 people in each country.United States866.6 in 2015866.6 in 2015Japan642.6642.6Indonesia490.4490.4Brazil453.8453.8Russia372.2372.2Mexico334.6 in 2015334.6 in 2015China210.2210.2India158.8 in 2015158.8 in 2015Pakistan8686Nigeria62.262.2Bangladesh1818Data source: WHO, Global Health Observatory (2022); United Nations - Population Division (2022)OurWorldInData.org/technological-change | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=entity_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=entity_v14_850x600.svg index 05809fef2c9..c320270fffc 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=entity_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=entity_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=metric_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=metric_v14_850x600.svg index 79329ce75ed..f0c7d7aec0d 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=metric_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=metric_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=none_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=none_v14_850x600.svg index 0bbe5532082..e85350e262a 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=none_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=earliest&facet=none_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=entity_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=entity_v14_850x600.svg index 7df1aec4430..9cdf9a5cc1f 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=entity_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=entity_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=metric_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=metric_v14_850x600.svg index d51a0485866..681da7ced91 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=metric_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=metric_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=none_v14_850x600.svg b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=none_v14_850x600.svg index 1f5a527e9bf..89dc7df0431 100644 --- a/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=none_v14_850x600.svg +++ b/all-views/svg/self-reported-loneliness-older-adults?tab=chart&time=latest&facet=none_v14_850x600.svg @@ -1 +1 @@ -Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file +Self-reported loneliness among older adultsShare of survey respondents who report feeling lonely at least some of the time. For all countries estimatescorrespond to population ages 65+, except in the following cases: US (ages 72+); UK (ages 65-74); and Finland(ages 75+).Greece62% in 200562% in 2005Israel48% in 200548% in 2005Italy47% in 200547% in 2005Austria46% in 200546% in 2005France45% in 200545% in 2005Belgium42% in 200542% in 2005Spain40% in 200540% in 2005Finland39% in 200239% in 2002Germany37% in 200537% in 2005Netherlands35% in 200535% in 2005England33% in 201833% in 2018United States30% in 201830% in 2018Sweden30% in 200530% in 2005Switzerland26% in 200526% in 2005Denmark25% in 200525% in 2005Data source: Our World in Data based on Sundström et al. (2009), Savikko et al (2005), ONS (2019) and CIGNA (2018)Note: Estimates correspond to people who report feeling lonely "some of the time", "most of the time", or "almost all the time". This is incontrast to those that report feeling lonely "rarely", "almost none of the time", or "never".OurWorldInData.org/social-connections-and-loneliness | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg index 127ab042094..5b14cb4a333 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg index 3603ae8ec42..0e6c25ffc8e 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg index 3021b8a0418..02a42805cb1 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg index b07b43765ed..50f22e8f6ce 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg index e314e15a047..143a0b75726 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg index 89522fa8747..da0df429ce9 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg index 2827e573f07..2e3303bac79 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg index 39e95871210..c6956b37e04 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg index b9e9ef03bf5..18a41c4d427 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg index 6e4b33215fc..9af401e1442 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States41%41%United Kingdom40.1%40.1%Brazil27.5%27.5%Japan14.9%14.9%Nigeria8.9%8.9%India5.3%5.3%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg index 9e8f7502038..7920d73d3f8 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg index 4b591c87ca8..0d964fc3e46 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg index 8c24be2d7e4..1644bd9d94a 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg index e7b2c9d6472..fa12fc00090 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg index b2eaebf91c7..602a80f7bf9 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 1975"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%5%10%15%20%25%30%35%40%Brazil27.5%27.5%India5.3%5.3%Japan14.9%14.9%Nigeria8.9%8.9%United Kingdom40.1%40.1%United States41%41%Vietnam5%5%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg index 0fac6d732e4..9e315e226ce 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg index 40dac9af139..bb9144400c8 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg index 2c116c95cf4..d2e874a83f9 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg index 691de23516f..b0a78e242b6 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg index 9032640fac4..6b33ddeee08 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg index fb527a3f18f..8b47b258770 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg index f0923d624a6..962158c9696 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg index 3b57cbfe4f9..78befb1095c 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg index 5c9ef730312..63facec8f50 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg index 778f5eba0ed..3617ea2f614 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.United States67.9%67.9%United Kingdom63.7%63.7%Brazil56.5%56.5%Nigeria28.9%28.9%Japan27.2%27.2%India19.7%19.7%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg index 66a5bc3872d..bf4c693f1f7 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg index 368c8ebb0ef..982d52f04e4 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg index 53863763517..5b146484759 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg index 7e29339c1b7..205a1ea3de2 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg index 327414f1d00..2b1547ae031 100644 --- a/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg +++ b/all-views/svg/share-of-adults-who-are-overweight?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v16_850x600.svg @@ -1 +1 @@ -Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file +Change in share of adults who are overweight or obese, 2016"Overweight" is defined here as having a body mass index (BMI) equal to or greater than 25. BMI is a person'sweight in kilograms divided by their height in meters squared.0%10%20%30%40%50%60%Brazil56.5%56.5%India19.7%19.7%Japan27.2%27.2%Nigeria28.9%28.9%United Kingdom63.7%63.7%United States67.9%67.9%Vietnam18.3%18.3%Data source: WHO, Global Health ObservatoryOurWorldInData.org/obesity | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=entity_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=entity_v15_850x600.svg index dacc2c2aae9..61a12b566fe 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=entity_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=entity_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=metric_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=metric_v15_850x600.svg index cba299904d7..ebeacce8b1c 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=metric_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=metric_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=none_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=none_v15_850x600.svg index e042eae98eb..99e4b77ced2 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=none_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=earliest&facet=none_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=entity_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=entity_v15_850x600.svg index c81d74a1623..c5786b1351f 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=entity_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=entity_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=metric_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=metric_v15_850x600.svg index dd72e9d9ab2..3c3ec650ee2 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=metric_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=metric_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=none_v15_850x600.svg b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=none_v15_850x600.svg index 3765f999c91..5faff06d236 100644 --- a/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=none_v15_850x600.svg +++ b/all-views/svg/share-of-adults-who-drank-alcohol-in-last-year?tab=chart&time=latest&facet=none_v15_850x600.svg @@ -1 +1 @@ -Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Share of adults who drank alcohol in last year, 2016Adults are defined as those aged 15 years and older. Shown is the share of adults who have drunk any alcohol inthe preceding 12 months.Lithuania79.1%79.1%Kyrgyzstan25.9%25.9%Kenya23.9%23.9%Data source: WHO, Global Health Observatory (GHO)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=entity_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=entity_v3_850x600.svg index 7d2b05beeca..92867e3fc91 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=entity_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=metric_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=metric_v3_850x600.svg index c6236d85145..99bece3009b 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=metric_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=none_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=none_v3_850x600.svg index d0e85c23072..f5d4488afe2 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=none_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=earliest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=entity_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=entity_v3_850x600.svg index d060dc8835d..f4512382c16 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=entity_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=entity_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=metric_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=metric_v3_850x600.svg index ae92efb4eda..8bfd263765b 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=metric_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=metric_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=none_v3_850x600.svg b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=none_v3_850x600.svg index 8f3deb21a18..d5088817130 100644 --- a/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=none_v3_850x600.svg +++ b/all-views/svg/share-of-cumulative-plastic-exports?tab=chart&time=latest&facet=none_v3_850x600.svg @@ -1 +1 @@ -Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file +Share of cumulative plastic exports by top ten exporters, 2016Share of cumulative plastic exports over the period 1988 to 2016 by the top ten exporting countries.Top 10 exporters78%78%Hong Kong26.1%26.1%United States12.4%12.4%Japan10.3%10.3%Germany8.22%8.22%Mexico4.9%4.9%United Kingdom4.31%4.31%Netherlands3.59%3.59%France3.52%3.52%Belgium2.99%2.99%Canada1.81%1.81%Data source: Brooks et al. (2018)OurWorldInData.org/faq-on-plastics | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg index 80bf0d89677..4b7e5501abd 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg index 78b232af49c..686ead96961 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg index 8922fc37a0a..985e61a2d94 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg index 63517812328..a9cb72e8a7a 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg index 45a0b4e2847..d666a6df8c8 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg index 13af2be24f7..51296d9c81e 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg index eb39874700e..b3a5da0f050 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg index 85798b3f22b..981c2405836 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg index fbad69d59cd..f8c7fd81d22 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg index 92ddeece2ca..180987d9557 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg index e1ded20d794..56846853a32 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg index 15b09f8b641..3ca3c987e74 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg index 2b4aedb2bb9..6e5fcb5d01e 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg index 62cf45ba69c..7bc69509157 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg index f81cfc97434..4d97ac0634c 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 1977Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%20%40%60%80%China91.6% in 198191.6% in 1981India63.1%63.1%Madagascar48.7% in 198048.7% in 1980Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg index 43fa23e1ab9..e8847ac7bac 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg index d4645af4df4..3f7b2c13639 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg index a21583f040b..ed3d543111d 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg index d6572f09b34..2d708bf3a25 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg index 8e91a6976ba..4382ed6d28a 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg index fddb6418d53..4e15d9fc96d 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg index e3c9f83951a..6180a35994f 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg index 1ac2526d4f2..8a90d0e5b40 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg index 9e988be83f8..50b89f9a967 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg index d3b5f3f52c1..143165c5755 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.India11.9% in 202111.9% in 2021Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg index fa8df70947d..fee4e1efbb3 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg index eae0bca41ab..d2eb554ab61 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg index 30e7685f8fc..ba614fa9beb 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg index af615126d5b..2c1c9311493 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg index 409115e4e97..8d7d7930ed1 100644 --- a/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg +++ b/all-views/svg/share-of-population-in-extreme-poverty?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v64_850x600.svg @@ -1 +1 @@ -Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file +Change in share of population living in extreme poverty, 2022Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjustedfor inflation and for differences in the cost of living between countries.0%2%4%6%8%10%Bangladesh9.6%9.6%Bolivia2% in 20212% in 2021China0.1% in 20200.1% in 2020India11.9% in 202111.9% in 2021Data source: World Bank Poverty and Inequality Platform (2023)Note: This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured aftertaxes and benefits, or to consumption, per capita.OurWorldInData.org/poverty | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=entity_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=entity_v24_850x600.svg index f721d89b7f3..c3525c3dcc7 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=entity_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=entity_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=metric_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=metric_v24_850x600.svg index a3c4ca7a2e6..5c38b4586b1 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=metric_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=metric_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=none_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=none_v24_850x600.svg index c239a92ff3f..79c558f4273 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=none_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=earliest&facet=none_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 1990In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)6.77 million6.77 millionAlcohol use (risk factor)1.64 million1.64 millionIllicit drug use (risk factor)235,888235,888Alcohol use disorders116,435116,435Drug use disorders56,14456,144Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=entity_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=entity_v24_850x600.svg index 3610739d41f..590e3306e98 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=entity_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=entity_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=metric_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=metric_v24_850x600.svg index a2a68388739..00418139242 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=metric_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=metric_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=none_v24_850x600.svg b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=none_v24_850x600.svg index ba548ba8df1..ae2a85f2ca7 100644 --- a/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=none_v24_850x600.svg +++ b/all-views/svg/substances-risk-factor-vs-direct-deaths?tab=chart&time=latest&facet=none_v24_850x600.svg @@ -1 +1 @@ -Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file +Deaths attributed to tobacco, alcohol and drugs, World, 2019In blue are shown the estimated annual number of deaths attributed to tobacco, alcohol and drugs. In red areshown the estimated annual number of deaths from drugs and alcohol. The difference between both is that theyrelate to indirect and direct causes of death, respectively.Tobacco (risk factor)8.71 million8.71 millionAlcohol use (risk factor)2.44 million2.44 millionIllicit drug use (risk factor)494,492494,492Alcohol use disorders168,015168,015Drug use disorders128,083128,083Data source: IHME, Global Burden of Disease (2019)Note: Illicit drugs are drugs that have been prohibited under international drug control treaties. They include opioids, cocaine,amphetamines and cannabis.OurWorldInData.org/illicit-drug-use | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=entity_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=entity_v17_850x600.svg index ed3bedd95fc..93fd0e3e25a 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=entity_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=metric_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=metric_v17_850x600.svg index 487ed924bf8..4900397c62e 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=metric_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=none_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=none_v17_850x600.svg index ab1fe7c925a..13938d93deb 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=none_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=earliest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2000Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Russia15.73 L15.73 LBelarus15.17 L15.17 LIreland15.13 L15.13 LMoldova13.89 L13.89 LLithuania13.36 L13.36 LAustralia11.72 L11.72 LUnited States9.19 L9.19 LBotswana9.05 L9.05 LCongo3.45 L3.45 LIndia2.28 L2.28 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=entity_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=entity_v17_850x600.svg index a6d78e7cc59..2441484b13e 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=entity_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=entity_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=metric_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=metric_v17_850x600.svg index db389fe8e02..4c879ef31cd 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=metric_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=metric_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=none_v17_850x600.svg b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=none_v17_850x600.svg index 76416198b13..2936caa9277 100644 --- a/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=none_v17_850x600.svg +++ b/all-views/svg/total-alcohol-consumption-per-capita-litres-of-pure-alcohol?tab=chart&time=latest&facet=none_v17_850x600.svg @@ -1 +1 @@ -Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file +Alcohol consumption per person, 2018Consumption of alcohol is measured in liters of pure alcohol per person aged 15 or older, per year.Lithuania13.22 L13.22 LIreland12.88 L12.88 LBelarus11.45 L11.45 LMoldova11.43 L11.43 LRussia11.19 L11.19 LAustralia10.51 L10.51 LUnited States9.87 L9.87 LCongo9.27 L9.27 LBotswana6.59 L6.59 LIndia5.54 L5.54 LData source: World Health Organization (via World Bank)OurWorldInData.org/alcohol-consumption | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=entity_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=entity_v16_850x600.svg index b85df5d80b3..37926cbc488 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=entity_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=entity_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=metric_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=metric_v16_850x600.svg index bacb99c6990..95810b7a81c 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=metric_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=metric_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=none_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=none_v16_850x600.svg index d296b811403..e5ea81d0816 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=none_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=earliest&facet=none_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=entity_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=entity_v16_850x600.svg index e4bc5829294..273c68e165b 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=entity_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=entity_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=metric_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=metric_v16_850x600.svg index a6944895ffe..c6b19fbb2f3 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=metric_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=metric_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=none_v16_850x600.svg b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=none_v16_850x600.svg index 0362f7f2595..6b71f0b7615 100644 --- a/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=none_v16_850x600.svg +++ b/all-views/svg/water-withdrawals-per-kg-poore?tab=chart&time=latest&facet=none_v16_850x600.svg @@ -1 +1 @@ -Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file +Freshwater withdrawals per kilogram of food productFreshwater withdrawals are measured in liters per kilogram of food product.Cheese5,605 L5,605 LNuts4,134 L4,134 LFish (farmed)3,691 L3,691 LPrawns (farmed)3,515 L3,515 LBeef (dairy herd)2,714 L2,714 LRice2,248 L2,248 LGroundnuts1,852 L1,852 LLamb & Mutton1,803 L1,803 LPig Meat1,796 L1,796 LBeef (beef herd)1,451 L1,451 LPoultry Meat660 L660 LWheat & Rye648 L648 LMilk628 L628 LEggs578 L578 LPeas397 L397 LTomatoes370 L370 LMaize216 L216 LApples180 L180 LBananas115 L115 LCitrus Fruit83 L83 LWine79 L79 LPotatoes59 L59 LRoot Vegetables28 L28 LData source: Joseph Poore and Thomas Nemecek (2018).OurWorldInData.org/environmental-impacts-of-food | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg index e95d547e395..6fd9351e4f1 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg index d9c5441f98b..9b6818ac412 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg index f6582ac043d..9e22eb30501 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg index c0432c69ca2..f0babe58c29 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg index 334c018cd1b..428a217487d 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States00United Kingdom00Switzerland00Sweden00South Africa00Russia00Italy00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg index 32fb07a81b5..2ed5f133728 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg index 930fc7edf2d..007a29c200d 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg index 2e9a6c2e30c..8afbf66723a 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg index 6aa384fd782..cd887c3805f 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg index c76db295153..33c51ca2d94 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 2, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United Kingdom11Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg index 0ca9e6f2ee5..977d9b95b87 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg index 3a5c3d50c12..9f0f859c9d9 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg index 01b9020235f..63876d1012b 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg index 90ed2ce6540..0918666c81f 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg index e4ab4315fdc..ca619c902db 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=earliest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Jan 10, 2020Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0Brazil00Italy00Russia00South Africa00Sweden00Switzerland00United Kingdom00United States00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg index 851b5554a2e..594f2f2e68d 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg index 75e19809dad..716519e547c 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg index 66672197d93..1e490d8189f 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg index f89453dedf3..d013b128784 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg index ef183c9e464..c7147c6d1f3 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Italy3232Sweden2828United Kingdom00Switzerland00South Africa00Russia00Brazil00Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg index 8636845eb57..0bb6f15dce0 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg index fa41a6bf5ee..691fda75c5b 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg index fc05ecd66e3..9f27b8883b5 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg index 2a39b4cfc74..f81637ee4ed 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg index eb00579a576..9e1bdacfcbb 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=absolute&yScale=log&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.United States949949Russia106 on Feb 17, 2024106 on Feb 17, 2024Italy3232Sweden2828Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg index 3eb8b057c51..8811cca8fcf 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg index 20f52866d24..a38822d193b 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=entity&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg index fb5d0ce5fcf..4cdfa593e09 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg index 9b45ff8e57d..da269ff64f7 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=metric&uniformYAxis=1_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file diff --git a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg index cfb0927af3c..7bced7cdde8 100644 --- a/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg +++ b/all-views/svg/weekly-covid-deaths?tab=chart&time=latest&stackMode=relative&yScale=linear&facet=none&uniformYAxis=0_v3027_850x600.svg @@ -1 +1 @@ -Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file +Weekly confirmed COVID-19 deaths, Feb 18, 2024Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due tovarying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may notaccurately represent the true number of deaths caused by COVID-19.0200400600800Brazil00Italy3232Russia00South Africa00Sweden2828Switzerland00United Kingdom00United States949949Data source: WHO COVID-19 DashboardOurWorldInData.org/coronavirus | CC BY \ No newline at end of file