From 192fb229c30da500ab2fb35c2312384d35f73cfb Mon Sep 17 00:00:00 2001 From: MoBosse Date: Fri, 18 Feb 2022 08:49:02 +0100 Subject: [PATCH] updates 2 (1. half) 2022 --- data/indicator_10-4-1.csv | 1 + data/indicator_11-2-1.csv | 18 ++--- data/indicator_15-6-1.csv | 2 +- data/indicator_16-7-1.csv | 9 +++ data/indicator_17-1-1.csv | 1 + data/indicator_17-1-2.csv | 2 + data/indicator_17-13-1.csv | 13 ++++ data/indicator_17-8-1.csv | 6 ++ data/indicator_2-1-2.csv | 1 + data/indicator_2-4-1.csv | 2 +- data/indicator_2-c-1.csv | 1 + data/indicator_4-4-1.csv | 154 ++++++++++++++++++++++++------------- data/indicator_6-6-1.csv | 67 +++------------- data/indicator_7-1-1.csv | 2 +- data/indicator_8-1-1.csv | 1 + data/indicator_8-2-1.csv | 1 + data/indicator_9-1-1.csv | 1 + data/indicator_9-1-2.csv | 14 ++-- data/indicator_9-2-1.csv | 13 ++-- meta/1-2-2.md | 2 - meta/1-3-1.md | 2 +- meta/1-4-2.md | 2 +- meta/1-5-3.md | 2 +- meta/1-a-2.md | 2 +- meta/1-b-1.md | 2 +- meta/10-4-1.md | 2 +- meta/10-6-1.md | 2 +- meta/10-7-2.md | 2 +- meta/11-2-1.md | 2 +- meta/11-b-1.md | 2 +- meta/13-1-2.md | 2 +- meta/13-2-1.md | 2 +- meta/13-2-2.md | 2 +- meta/13-a-1.md | 2 +- meta/13-b-1.md | 2 +- meta/14-4-1.md | 2 +- meta/14-5-1.md | 2 +- meta/14-7-1.md | 2 +- meta/14-c-1.md | 2 +- meta/15-1-2.md | 2 +- meta/15-4-1.md | 2 +- meta/15-6-1.md | 2 +- meta/15-9-1.md | 2 +- meta/15-a-1.md | 2 +- meta/15-b-1.md | 2 +- meta/16-3-3.md | 2 +- meta/16-7-1.md | 2 +- meta/16-8-1.md | 2 +- meta/16-9-1.md | 2 +- meta/17-1-1.md | 2 +- meta/17-1-2.md | 2 +- meta/17-13-1.md | 4 +- meta/17-17-1.md | 2 +- meta/2-1-2.md | 3 + meta/3-5-2.md | 2 +- meta/3-7-1.md | 2 +- meta/3-7-2.md | 2 +- meta/3-b-1.md | 16 ++-- meta/3-d-2.md | 2 +- meta/4-4-1.md | 32 ++++---- meta/5-1-1.md | 2 +- meta/5-2-1.md | 2 +- meta/6-1-1.md | 2 +- meta/6-5-2.md | 2 +- meta/6-6-1.md | 55 ++++++++++--- meta/6-a-1.md | 2 +- meta/6-b-1.md | 2 +- meta/7-2-1.md | 2 +- meta/7-3-1.md | 2 +- meta/8-1-1.md | 2 +- meta/8-2-1.md | 2 +- meta/9-1-2.md | 4 +- meta/9-2-1.md | 2 +- meta/9-4-1.md | 2 +- meta/en/1-2-2.md | 2 - meta/en/1-3-1.md | 2 +- meta/en/1-4-2.md | 2 +- meta/en/1-5-3.md | 2 +- meta/en/1-a-2.md | 2 +- meta/en/1-b-1.md | 2 +- meta/en/10-4-1.md | 2 +- meta/en/10-6-1.md | 2 +- meta/en/10-7-2.md | 2 +- meta/en/11-2-1.md | 2 +- meta/en/11-b-1.md | 2 +- meta/en/13-1-2.md | 2 +- meta/en/13-2-1.md | 2 +- meta/en/13-2-2.md | 2 +- meta/en/13-a-1.md | 2 +- meta/en/13-b-1.md | 2 +- meta/en/14-4-1.md | 4 +- meta/en/14-5-1.md | 2 +- meta/en/14-7-1.md | 2 +- meta/en/14-c-1.md | 2 +- meta/en/15-1-2.md | 2 +- meta/en/15-4-1.md | 2 +- meta/en/15-6-1.md | 2 +- meta/en/15-9-1.md | 2 +- meta/en/15-a-1.md | 2 +- meta/en/15-b-1.md | 2 +- meta/en/16-3-3.md | 2 +- meta/en/16-7-1.md | 2 +- meta/en/16-8-1.md | 2 +- meta/en/16-9-1.md | 2 +- meta/en/17-1-1.md | 2 +- meta/en/17-1-2.md | 2 +- meta/en/17-13-1.md | 4 +- meta/en/17-17-1.md | 2 +- meta/en/2-1-2.md | 7 +- meta/en/3-5-2.md | 2 +- meta/en/3-7-1.md | 2 +- meta/en/3-7-2.md | 2 +- meta/en/3-8-1.md | 3 +- meta/en/3-b-1.md | 15 ++-- meta/en/3-d-2.md | 2 +- meta/en/4-4-1.md | 20 ++--- meta/en/5-1-1.md | 2 +- meta/en/5-2-1.md | 2 +- meta/en/6-1-1.md | 2 +- meta/en/6-5-2.md | 2 +- meta/en/6-6-1.md | 20 +++-- meta/en/6-a-1.md | 2 +- meta/en/6-b-1.md | 2 +- meta/en/7-2-1.md | 2 +- meta/en/7-3-1.md | 2 +- meta/en/8-1-1.md | 2 +- meta/en/8-2-1.md | 2 +- meta/en/9-1-2.md | 2 +- meta/en/9-2-1.md | 2 +- meta/en/9-4-1.md | 2 +- 130 files changed, 386 insertions(+), 306 deletions(-) diff --git a/data/indicator_10-4-1.csv b/data/indicator_10-4-1.csv index 74155295f0d..21441cda377 100755 --- a/data/indicator_10-4-1.csv +++ b/data/indicator_10-4-1.csv @@ -10,3 +10,4 @@ Year,Value 2018,52.7 2019,53.4 2020,55.0 +2021,53.7 diff --git a/data/indicator_11-2-1.csv b/data/indicator_11-2-1.csv index 8812ed4e8f7..9ee1f75c517 100644 --- a/data/indicator_11-2-1.csv +++ b/data/indicator_11-2-1.csv @@ -196,7 +196,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,,94.2 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,,94.5 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,,93.7 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,,94.5 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,93.3 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,91.6 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,92.7 @@ -207,7 +207,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,92.2 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,90.3 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,90.2 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,mobility impaired people,,,89.7 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,97.5 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,98.4 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,96.7 @@ -218,7 +218,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,95.6 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,96.4 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,97.0 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,under 18 years,,98.8 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,97.7 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,96.1 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,94.6 @@ -229,7 +229,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,95.4 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,96.3 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,95.5 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,18 to under 30 years,,95.1 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,95.2 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,96.2 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,97.8 @@ -240,7 +240,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,96.1 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,95.3 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,96.2 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,30 to under 45 years,,97.1 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,93.2 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,93.8 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,93.8 @@ -251,7 +251,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,94.0 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,95.0 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,93.4 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,45 to under 65 years,,96.0 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,92.1 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,89.6 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,91.7 @@ -262,7 +262,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,91.6 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,91.6 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,90.4 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,65 years and over,,90.3 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,93.2 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,94.2 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,94.5 @@ -273,7 +273,7 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,94.4 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,94.5 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,94.0 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,female,95.0 2010,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,95.6 2011,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,93.7 2012,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,94.4 @@ -284,4 +284,4 @@ Year,timeseries,region,GeoCode,disability,age,sex,Value 2017,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,94.0 2018,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,94.5 2019,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,93.5 -2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male, +2020,population that has convenient access to public transport (within 10 minutes walking distance) (%),,,,,male,94.7 diff --git a/data/indicator_15-6-1.csv b/data/indicator_15-6-1.csv index 59a01656b8c..f8b8fc8d717 100644 --- a/data/indicator_15-6-1.csv +++ b/data/indicator_15-6-1.csv @@ -58,4 +58,4 @@ Year,Units,Value,Series 2018,number,9120,number of standard material transfer agreements (smtas) 2019,number,9476,number of standard material transfer agreements (smtas) 2020,number,9673,number of standard material transfer agreements (smtas) -2021,number,,number of standard material transfer agreements (smtas) +2021,number,9673,number of standard material transfer agreements (smtas) diff --git a/data/indicator_16-7-1.csv b/data/indicator_16-7-1.csv index 66da5acd82c..368adc815b8 100644 --- a/data/indicator_16-7-1.csv +++ b/data/indicator_16-7-1.csv @@ -9,6 +9,7 @@ Year,timeseries,field of work,level of court,Value 2017,"proportions of positions of women in the public service compared to the national distribution, by field of work",,,1.13 2018,"proportions of positions of women in the public service compared to the national distribution, by field of work",,,1.14 2019,"proportions of positions of women in the public service compared to the national distribution, by field of work",,,1.14 +2020,"proportions of positions of women in the public service compared to the national distribution, by field of work",,, 2010,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.06 2011,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.06 2012,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.07 @@ -19,6 +20,7 @@ Year,timeseries,field of work,level of court,Value 2017,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.12 2018,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.12 2019,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",,1.13 +2020,"proportions of positions of women in the public service compared to the national distribution, by field of work","political leadership and central administration, foreign affairs",, 2010,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.50 2011,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.48 2012,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.49 @@ -29,6 +31,7 @@ Year,timeseries,field of work,level of court,Value 2017,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.55 2018,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.57 2019,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,,0.59 +2020,"proportions of positions of women in the public service compared to the national distribution, by field of work",police,, 2010,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.32 2011,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.32 2012,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.32 @@ -39,6 +42,7 @@ Year,timeseries,field of work,level of court,Value 2017,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.35 2018,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.35 2019,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",,1.35 +2020,"proportions of positions of women in the public service compared to the national distribution, by field of work","education, science, research, cultural affairs",, 2010,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.24 2011,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.24 2012,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.23 @@ -49,6 +53,7 @@ Year,timeseries,field of work,level of court,Value 2017,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.15 2018,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.23 2019,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",,1.24 +2020,"proportions of positions of women in the public service compared to the national distribution, by field of work","health, environment, sports and recreation",, 2010,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,0.84 2011,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,0.85 2012,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,0.87 @@ -59,6 +64,7 @@ Year,timeseries,field of work,level of court,Value 2017,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,0.97 2018,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,0.98 2019,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,1.00 +2020,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,,1.01 2010,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.50 2011,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.50 2012,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.55 @@ -69,6 +75,7 @@ Year,timeseries,field of work,level of court,Value 2017,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.68 2018,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.74 2019,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.74 +2020,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,supreme/constitutional courts,0.74 2010,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.64 2011,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.66 2012,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.67 @@ -79,6 +86,7 @@ Year,timeseries,field of work,level of court,Value 2017,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.79 2018,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.80 2019,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.81 +2020,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,higher-level courts,0.83 2010,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,0.89 2011,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,0.90 2012,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,0.92 @@ -89,3 +97,4 @@ Year,timeseries,field of work,level of court,Value 2017,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,1.02 2018,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,1.02 2019,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,1.04 +2020,"ratio of proportion of women in the judiciary to proportion of women in the total population, by level of court",,lower-level courts,1.06 diff --git a/data/indicator_17-1-1.csv b/data/indicator_17-1-1.csv index 768001806ea..93ba4a647bb 100755 --- a/data/indicator_17-1-1.csv +++ b/data/indicator_17-1-1.csv @@ -10,3 +10,4 @@ Year,Value 2018,46.2 2019,46.5 2020,46.5 +2021,47.3 diff --git a/data/indicator_17-1-2.csv b/data/indicator_17-1-2.csv index bbea7f991c9..137d015b01c 100755 --- a/data/indicator_17-1-2.csv +++ b/data/indicator_17-1-2.csv @@ -10,6 +10,7 @@ Year,timeseries,Value 2018,proportion of domestic expenditures funded by national taxes (%),53.7 2019,proportion of domestic expenditures funded by national taxes (%),52.9 2020,proportion of domestic expenditures funded by national taxes (%),45.2 +2021,proportion of domestic expenditures funded by national taxes (%),46.6 2010,proportion of domestic expenditures funded by national taxes and insurance contributions (%),79.9 2011,proportion of domestic expenditures funded by national taxes and insurance contributions (%),85.7 2012,proportion of domestic expenditures funded by national taxes and insurance contributions (%),87.8 @@ -21,3 +22,4 @@ Year,timeseries,Value 2018,proportion of domestic expenditures funded by national taxes and insurance contributions (%),92.0 2019,proportion of domestic expenditures funded by national taxes and insurance contributions (%),91.2 2020,proportion of domestic expenditures funded by national taxes and insurance contributions (%),80.7 +2021,proportion of domestic expenditures funded by national taxes and insurance contributions (%),81.0 diff --git a/data/indicator_17-13-1.csv b/data/indicator_17-13-1.csv index 89cb1c5d18b..a2d837c7a4a 100644 --- a/data/indicator_17-13-1.csv +++ b/data/indicator_17-13-1.csv @@ -10,6 +10,7 @@ Year,Units,timeseries,Value 2018,%,annual growth rate of real gdp,1.1 2019,%,annual growth rate of real gdp,1.1 2020,%,annual growth rate of real gdp,-4.6 +2021,%,annual growth rate of real gdp,2.7 2010,bn eur,available income of private households,1525.6 2011,bn eur,available income of private households,1577.6 2012,bn eur,available income of private households,1614.0 @@ -21,6 +22,7 @@ Year,Units,timeseries,Value 2018,bn eur,available income of private households,1919.4 2019,bn eur,available income of private households,1959.9 2020,bn eur,available income of private households,1975.2 +2021,bn eur,available income of private households,2010.4 2010,bn eur,consumption by private households,1372.9 2011,bn eur,consumption by private households,1423.6 2012,bn eur,consumption by private households,1465.9 @@ -32,6 +34,7 @@ Year,Units,timeseries,Value 2018,bn eur,consumption by private households,1702.8 2019,bn eur,consumption by private households,1753.1 2020,bn eur,consumption by private households,1656.2 +2021,bn eur,consumption by private households,1707.4 2010,bn eur,debt level of the total public budget,2011.7 2011,bn eur,debt level of the total public budget,2025.4 2012,bn eur,debt level of the total public budget,2068.3 @@ -43,6 +46,7 @@ Year,Units,timeseries,Value 2018,bn eur,debt level of the total public budget,1915.8 2019,bn eur,debt level of the total public budget,1899.1 2020,bn eur,debt level of the total public budget,2172.9 +2021,bn eur,debt level of the total public budget, 2010,bn eur,government fiscal balance,-112.3 2011,bn eur,government fiscal balance,-23.7 2012,bn eur,government fiscal balance,0.3 @@ -54,6 +58,7 @@ Year,Units,timeseries,Value 2018,bn eur,government fiscal balance,64.4 2019,bn eur,government fiscal balance,51.1 2020,bn eur,government fiscal balance,-145.3 +2021,bn eur,government fiscal balance,-153.9 2010,bn eur,gross fixed capital formation,501.1 2011,bn eur,gross fixed capital formation,548.7 2012,bn eur,gross fixed capital formation,557.9 @@ -65,6 +70,7 @@ Year,Units,timeseries,Value 2018,bn eur,gross fixed capital formation,709.2 2019,bn eur,gross fixed capital formation,742.2 2020,bn eur,gross fixed capital formation,735.9 +2021,bn eur,gross fixed capital formation,782.9 2010,mn h,hours worked by employees,49314 2011,mn h,hours worked by employees,50102 2012,mn h,hours worked by employees,50100 @@ -76,6 +82,7 @@ Year,Units,timeseries,Value 2018,mn h,hours worked by employees,54030 2019,mn h,hours worked by employees,54624 2020,mn h,hours worked by employees,52479 +2021,mn h,hours worked by employees,53501 2010,mn h,hours worked by persons employed,58524 2011,mn h,hours worked by persons employed,59279 2012,mn h,hours worked by persons employed,59162 @@ -87,6 +94,7 @@ Year,Units,timeseries,Value 2018,mn h,hours worked by persons employed,62113 2019,mn h,hours worked by persons employed,62539 2020,mn h,hours worked by persons employed,59454 +2021,mn h,hours worked by persons employed,60600 2010,2015 = 100,labour productivity per hour worked by employee,96.5 2011,2015 = 100,labour productivity per hour worked by employee,98.7 2012,2015 = 100,labour productivity per hour worked by employee,99.1 @@ -98,6 +106,7 @@ Year,Units,timeseries,Value 2018,2015 = 100,labour productivity per hour worked by employee,101.6 2019,2015 = 100,labour productivity per hour worked by employee,101.6 2020,2015 = 100,labour productivity per hour worked by employee,100.9 +2021,2015 = 100,labour productivity per hour worked by employee,101.6 2010,2015 = 100,labour productivity per hour worked by persons employed,94.9 2011,2015 = 100,labour productivity per hour worked by persons employed,97.4 2012,2015 = 100,labour productivity per hour worked by persons employed,98.0 @@ -109,6 +118,7 @@ Year,Units,timeseries,Value 2018,2015 = 100,labour productivity per hour worked by persons employed,103.2 2019,2015 = 100,labour productivity per hour worked by persons employed,103.6 2020,2015 = 100,labour productivity per hour worked by persons employed,104.0 +2021,2015 = 100,labour productivity per hour worked by persons employed,104.8 2010,1 000,persons employed,41048 2011,1 000,persons employed,41544 2012,1 000,persons employed,42019 @@ -120,6 +130,7 @@ Year,Units,timeseries,Value 2018,1 000,persons employed,44858 2019,1 000,persons employed,45268 2020,1 000,persons employed,44898 +2021,1 000,persons employed,44905 2010,2015 = 100,real gdp per capita,93.6 2011,2015 = 100,real gdp per capita,97.3 2012,2015 = 100,real gdp per capita,97.5 @@ -131,6 +142,7 @@ Year,Units,timeseries,Value 2018,2015 = 100,real gdp per capita,104.6 2019,2015 = 100,real gdp per capita,105.4 2020,2015 = 100,real gdp per capita,100.5 +2021,2015 = 100,real gdp per capita,103.2 2010,bn eur,trade balance,134.9 2011,bn eur,trade balance,132.2 2012,bn eur,trade balance,167.5 @@ -142,3 +154,4 @@ Year,Units,timeseries,Value 2018,bn eur,trade balance,207.7 2019,bn eur,trade balance,196.2 2020,bn eur,trade balance,192.8 +2021,bn eur,trade balance,204.3 diff --git a/data/indicator_17-8-1.csv b/data/indicator_17-8-1.csv index 2d59fbf5632..4b72d0dd0b0 100755 --- a/data/indicator_17-8-1.csv +++ b/data/indicator_17-8-1.csv @@ -10,6 +10,7 @@ Year,age,sex,Value 2018,16 to under 75 years,,92 2019,16 to under 75 years,,93 2020,16 to under 75 years,,94 +2021,16 to under 75 years,, 2010,16 to under 75 years,female,76 2011,16 to under 75 years,female,78 2012,16 to under 75 years,female,79 @@ -21,6 +22,7 @@ Year,age,sex,Value 2018,16 to under 75 years,female,91 2019,16 to under 75 years,female,92 2020,16 to under 75 years,female,93 +2021,16 to under 75 years,female,91 2010,16 to under 75 years,male,84 2011,16 to under 75 years,male,84 2012,16 to under 75 years,male,85 @@ -32,6 +34,7 @@ Year,age,sex,Value 2018,16 to under 75 years,male,94 2019,16 to under 75 years,male,94 2020,16 to under 75 years,male,95 +2021,16 to under 75 years,male,92 2010,16 to under 25 years,,98 2011,16 to under 25 years,,99 2012,16 to under 25 years,,98 @@ -43,6 +46,7 @@ Year,age,sex,Value 2018,16 to under 25 years,,99 2019,16 to under 25 years,,99 2020,16 to under 25 years,,99 +2021,16 to under 25 years,,98 2010,25 to under 65 years,,85 2011,25 to under 65 years,,87 2012,25 to under 65 years,,88 @@ -54,6 +58,7 @@ Year,age,sex,Value 2018,25 to under 65 years,,95 2019,25 to under 65 years,,96 2020,25 to under 65 years,,97 +2021,25 to under 65 years,,94 2010,65 to under 75 years,,41 2011,65 to under 75 years,,41 2012,65 to under 75 years,,43 @@ -65,3 +70,4 @@ Year,age,sex,Value 2018,65 to under 75 years,,71 2019,65 to under 75 years,,72 2020,65 to under 75 years,,76 +2021,65 to under 75 years,,74 diff --git a/data/indicator_2-1-2.csv b/data/indicator_2-1-2.csv index a1d0dbf9a19..85f6ff04144 100644 --- a/data/indicator_2-1-2.csv +++ b/data/indicator_2-1-2.csv @@ -9,3 +9,4 @@ Year,Value 2017,7.0 2018,6.4 2019,5.3 +2020,15.1 diff --git a/data/indicator_2-4-1.csv b/data/indicator_2-4-1.csv index 5afdc3dd83c..6947b1e8294 100644 --- a/data/indicator_2-4-1.csv +++ b/data/indicator_2-4-1.csv @@ -20,7 +20,7 @@ Year,timeseries,region,GeoCode,Value 2017,organically farmed agricultural land (data from bmel),,,8.2 2018,organically farmed agricultural land (data from bmel),,,9.1 2019,organically farmed agricultural land (data from bmel),,,9.7 -2020,organically farmed agricultural land (data from bmel),,, +2020,organically farmed agricultural land (data from bmel),,,10.3 2010,organically farmed agricultural land (data from destatis),baden-wuerttemberg,code08,7.0 2011,organically farmed agricultural land (data from destatis),baden-wuerttemberg,code08, 2012,organically farmed agricultural land (data from destatis),baden-wuerttemberg,code08, diff --git a/data/indicator_2-c-1.csv b/data/indicator_2-c-1.csv index 735048a6eae..685e104d1cc 100644 --- a/data/indicator_2-c-1.csv +++ b/data/indicator_2-c-1.csv @@ -10,3 +10,4 @@ Year,Value 2018,106.0 2019,107.2 2020,109.7 +2021,113.1 diff --git a/data/indicator_4-4-1.csv b/data/indicator_4-4-1.csv index 7d53c5cf807..d7dc51f3613 100644 --- a/data/indicator_4-4-1.csv +++ b/data/indicator_4-4-1.csv @@ -9,6 +9,8 @@ Year,activities,age,Value 2017,copied or moved a file and folder,,69 2018,copied or moved a file and folder,, 2019,copied or moved a file and folder,,71 +2020,copied or moved a file and folder,, +2021,copied or moved a file and folder,, 2010,using copy or cut and paste tools to duplicate or move information on screen,, 2011,using copy or cut and paste tools to duplicate or move information on screen,,70 2012,using copy or cut and paste tools to duplicate or move information on screen,,66 @@ -19,16 +21,20 @@ Year,activities,age,Value 2017,using copy or cut and paste tools to duplicate or move information on screen,, 2018,using copy or cut and paste tools to duplicate or move information on screen,, 2019,using copy or cut and paste tools to duplicate or move information on screen,, +2020,using copy or cut and paste tools to duplicate or move information on screen,, +2021,using copy or cut and paste tools to duplicate or move information on screen,, 2010,written code in a programming language,, 2011,written code in a programming language,, 2012,written code in a programming language,, 2013,written code in a programming language,, 2014,written code in a programming language,, -2015,written code in a programming language,,6 -2016,written code in a programming language,,6 -2017,written code in a programming language,,6 +2015,written code in a programming language,,6.0 +2016,written code in a programming language,,6.0 +2017,written code in a programming language,,6.0 2018,written code in a programming language,, -2019,written code in a programming language,,6 +2019,written code in a programming language,,6.0 +2020,written code in a programming language,, +2021,written code in a programming language,,4.6 2010,"connecting and installing new devices, eg a printer or a modem",, 2011,"connecting and installing new devices, eg a printer or a modem",,45 2012,"connecting and installing new devices, eg a printer or a modem",,45 @@ -39,16 +45,20 @@ Year,activities,age,Value 2017,"connecting and installing new devices, eg a printer or a modem",, 2018,"connecting and installing new devices, eg a printer or a modem",, 2019,"connecting and installing new devices, eg a printer or a modem",, +2020,"connecting and installing new devices, eg a printer or a modem",, +2021,"connecting and installing new devices, eg a printer or a modem",, 2010,transferred files between computer and other devices,, -2011,transferred files between computer and other devices,,61 -2012,transferred files between computer and other devices,,59 +2011,transferred files between computer and other devices,,61.0 +2012,transferred files between computer and other devices,,59.0 2013,transferred files between computer and other devices,, -2014,transferred files between computer and other devices,,65 -2015,transferred files between computer and other devices,,60 -2016,transferred files between computer and other devices,,62 -2017,transferred files between computer and other devices,,64 +2014,transferred files between computer and other devices,,65.0 +2015,transferred files between computer and other devices,,60.0 +2016,transferred files between computer and other devices,,62.0 +2017,transferred files between computer and other devices,,64.0 2018,transferred files between computer and other devices,, -2019,transferred files between computer and other devices,,66 +2019,transferred files between computer and other devices,,66.0 +2020,transferred files between computer and other devices,, +2021,transferred files between computer and other devices,,52.8 2010,installed software or applications (apps),, 2011,installed software or applications (apps),, 2012,installed software or applications (apps),, @@ -59,6 +69,8 @@ Year,activities,age,Value 2017,installed software or applications (apps),,62 2018,installed software or applications (apps),, 2019,installed software or applications (apps),,68 +2020,installed software or applications (apps),, +2021,installed software or applications (apps),,44 2010,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, 2011,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",,33 2012,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",,30 @@ -69,16 +81,20 @@ Year,activities,age,Value 2017,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, 2018,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, 2019,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, +2020,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, +2021,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",, 2010,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, 2011,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, 2012,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, 2013,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, 2014,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, -2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,32 -2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,31 -2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,33 +2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,32.0 +2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,31.0 +2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,33.0 2018,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, -2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,33 +2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,33.0 +2020,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",, +2021,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",,25.2 2010,copied or moved a file and folder,16 to under 25 years, 2011,copied or moved a file and folder,16 to under 25 years,94 2012,copied or moved a file and folder,16 to under 25 years,87 @@ -89,6 +105,8 @@ Year,activities,age,Value 2017,copied or moved a file and folder,16 to under 25 years,84 2018,copied or moved a file and folder,16 to under 25 years, 2019,copied or moved a file and folder,16 to under 25 years,82 +2020,copied or moved a file and folder,16 to under 25 years, +2021,copied or moved a file and folder,16 to under 25 years, 2010,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, 2011,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years,92 2012,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years,85 @@ -99,16 +117,20 @@ Year,activities,age,Value 2017,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, 2018,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, 2019,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, +2020,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, +2021,using copy or cut and paste tools to duplicate or move information on screen,16 to under 25 years, 2010,written code in a programming language,16 to under 25 years, 2011,written code in a programming language,16 to under 25 years, 2012,written code in a programming language,16 to under 25 years, 2013,written code in a programming language,16 to under 25 years, 2014,written code in a programming language,16 to under 25 years, -2015,written code in a programming language,16 to under 25 years,12 -2016,written code in a programming language,16 to under 25 years,13 -2017,written code in a programming language,16 to under 25 years,12 +2015,written code in a programming language,16 to under 25 years,12.0 +2016,written code in a programming language,16 to under 25 years,13.0 +2017,written code in a programming language,16 to under 25 years,12.0 2018,written code in a programming language,16 to under 25 years, -2019,written code in a programming language,16 to under 25 years,14 +2019,written code in a programming language,16 to under 25 years,14.0 +2020,written code in a programming language,16 to under 25 years, +2021,written code in a programming language,16 to under 25 years,10.1 2010,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, 2011,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years,62 2012,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years,57 @@ -119,26 +141,32 @@ Year,activities,age,Value 2017,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, 2018,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, 2019,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, +2020,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, +2021,"connecting and installing new devices, eg a printer or a modem",16 to under 25 years, 2010,transferred files between computer and other devices,16 to under 25 years, -2011,transferred files between computer and other devices,16 to under 25 years,92 -2012,transferred files between computer and other devices,16 to under 25 years,88 +2011,transferred files between computer and other devices,16 to under 25 years,92.0 +2012,transferred files between computer and other devices,16 to under 25 years,88.0 2013,transferred files between computer and other devices,16 to under 25 years, -2014,transferred files between computer and other devices,16 to under 25 years,91 -2015,transferred files between computer and other devices,16 to under 25 years,86 -2016,transferred files between computer and other devices,16 to under 25 years,85 -2017,transferred files between computer and other devices,16 to under 25 years,83 +2014,transferred files between computer and other devices,16 to under 25 years,91.0 +2015,transferred files between computer and other devices,16 to under 25 years,86.0 +2016,transferred files between computer and other devices,16 to under 25 years,85.0 +2017,transferred files between computer and other devices,16 to under 25 years,83.0 2018,transferred files between computer and other devices,16 to under 25 years, -2019,transferred files between computer and other devices,16 to under 25 years,80 +2019,transferred files between computer and other devices,16 to under 25 years,80.0 +2020,transferred files between computer and other devices,16 to under 25 years, +2021,transferred files between computer and other devices,16 to under 25 years,68.2 2010,installed software or applications (apps),16 to under 25 years, 2011,installed software or applications (apps),16 to under 25 years, 2012,installed software or applications (apps),16 to under 25 years, 2013,installed software or applications (apps),16 to under 25 years, 2014,installed software or applications (apps),16 to under 25 years, -2015,installed software or applications (apps),16 to under 25 years,87 -2016,installed software or applications (apps),16 to under 25 years,89 -2017,installed software or applications (apps),16 to under 25 years,86 +2015,installed software or applications (apps),16 to under 25 years,87.0 +2016,installed software or applications (apps),16 to under 25 years,89.0 +2017,installed software or applications (apps),16 to under 25 years,86.0 2018,installed software or applications (apps),16 to under 25 years, -2019,installed software or applications (apps),16 to under 25 years,88 +2019,installed software or applications (apps),16 to under 25 years,88.0 +2020,installed software or applications (apps),16 to under 25 years, +2021,installed software or applications (apps),16 to under 25 years,58.5 2010,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, 2011,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years,67 2012,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years,57 @@ -149,16 +177,20 @@ Year,activities,age,Value 2017,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, 2018,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, 2019,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, +2020,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, +2021,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",16 to under 25 years, 2010,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, 2011,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, 2012,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, 2013,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, 2014,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, -2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,35 -2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,34 -2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,36 +2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,35.0 +2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,34.0 +2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,36.0 2018,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, -2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,34 +2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,34.0 +2020,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years, +2021,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",16 to under 25 years,33.2 2010,copied or moved a file and folder,25 to under 65 years, 2011,copied or moved a file and folder,25 to under 65 years,76 2012,copied or moved a file and folder,25 to under 65 years,71 @@ -169,6 +201,8 @@ Year,activities,age,Value 2017,copied or moved a file and folder,25 to under 65 years,73 2018,copied or moved a file and folder,25 to under 65 years, 2019,copied or moved a file and folder,25 to under 65 years,75 +2020,copied or moved a file and folder,25 to under 65 years, +2021,copied or moved a file and folder,25 to under 65 years, 2010,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, 2011,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years,74 2012,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years,69 @@ -179,16 +213,20 @@ Year,activities,age,Value 2017,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, 2018,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, 2019,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, +2020,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, +2021,using copy or cut and paste tools to duplicate or move information on screen,25 to under 65 years, 2010,written code in a programming language,25 to under 65 years, 2011,written code in a programming language,25 to under 65 years, 2012,written code in a programming language,25 to under 65 years, 2013,written code in a programming language,25 to under 65 years, 2014,written code in a programming language,25 to under 65 years, -2015,written code in a programming language,25 to under 65 years,6 -2016,written code in a programming language,25 to under 65 years,5 -2017,written code in a programming language,25 to under 65 years,5 +2015,written code in a programming language,25 to under 65 years,6.0 +2016,written code in a programming language,25 to under 65 years,5.0 +2017,written code in a programming language,25 to under 65 years,5.0 2018,written code in a programming language,25 to under 65 years, -2019,written code in a programming language,25 to under 65 years,5 +2019,written code in a programming language,25 to under 65 years,5.0 +2020,written code in a programming language,25 to under 65 years, +2021,written code in a programming language,25 to under 65 years,4.5 2010,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, 2011,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years,47 2012,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years,48 @@ -199,26 +237,32 @@ Year,activities,age,Value 2017,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, 2018,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, 2019,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, +2020,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, +2021,"connecting and installing new devices, eg a printer or a modem",25 to under 65 years, 2010,transferred files between computer and other devices,25 to under 65 years, -2011,transferred files between computer and other devices,25 to under 65 years,63 -2012,transferred files between computer and other devices,25 to under 65 years,61 +2011,transferred files between computer and other devices,25 to under 65 years,63.0 +2012,transferred files between computer and other devices,25 to under 65 years,61.0 2013,transferred files between computer and other devices,25 to under 65 years, -2014,transferred files between computer and other devices,25 to under 65 years,68 -2015,transferred files between computer and other devices,25 to under 65 years,63 -2016,transferred files between computer and other devices,25 to under 65 years,65 -2017,transferred files between computer and other devices,25 to under 65 years,66 +2014,transferred files between computer and other devices,25 to under 65 years,68.0 +2015,transferred files between computer and other devices,25 to under 65 years,63.0 +2016,transferred files between computer and other devices,25 to under 65 years,65.0 +2017,transferred files between computer and other devices,25 to under 65 years,66.0 2018,transferred files between computer and other devices,25 to under 65 years, -2019,transferred files between computer and other devices,25 to under 65 years,69 +2019,transferred files between computer and other devices,25 to under 65 years,69.0 +2020,transferred files between computer and other devices,25 to under 65 years, +2021,transferred files between computer and other devices,25 to under 65 years,54.7 2010,installed software or applications (apps),25 to under 65 years, 2011,installed software or applications (apps),25 to under 65 years, 2012,installed software or applications (apps),25 to under 65 years, 2013,installed software or applications (apps),25 to under 65 years, 2014,installed software or applications (apps),25 to under 65 years, -2015,installed software or applications (apps),25 to under 65 years,63 -2016,installed software or applications (apps),25 to under 65 years,66 -2017,installed software or applications (apps),25 to under 65 years,65 +2015,installed software or applications (apps),25 to under 65 years,63.0 +2016,installed software or applications (apps),25 to under 65 years,66.0 +2017,installed software or applications (apps),25 to under 65 years,65.0 2018,installed software or applications (apps),25 to under 65 years, -2019,installed software or applications (apps),25 to under 65 years,72 +2019,installed software or applications (apps),25 to under 65 years,72.0 +2020,installed software or applications (apps),25 to under 65 years, +2021,installed software or applications (apps),25 to under 65 years,45.9 2010,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, 2011,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years,32 2012,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years,30 @@ -229,13 +273,17 @@ Year,activities,age,Value 2017,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, 2018,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, 2019,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, +2020,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, +2021,"creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts",25 to under 65 years, 2010,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, 2011,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, 2012,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, 2013,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, 2014,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, -2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,35 -2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,34 -2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,37 +2015,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,35.0 +2016,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,34.0 +2017,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,37.0 2018,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, -2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,37 +2019,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,37.0 +2020,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years, +2021,"used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts",25 to under 65 years,26.9 diff --git a/data/indicator_6-6-1.csv b/data/indicator_6-6-1.csv index 4e973b318a0..27fade92f30 100644 --- a/data/indicator_6-6-1.csv +++ b/data/indicator_6-6-1.csv @@ -1,57 +1,10 @@ -Year,timeseries,type of water body,Value -2010,sub-indicator 1: spatial extent of water-related ecosystems,, -2011,sub-indicator 1: spatial extent of water-related ecosystems,, -2012,sub-indicator 1: spatial extent of water-related ecosystems,, -2013,sub-indicator 1: spatial extent of water-related ecosystems,, -2014,sub-indicator 1: spatial extent of water-related ecosystems,, -2015,sub-indicator 1: spatial extent of water-related ecosystems,, -2016,sub-indicator 1: spatial extent of water-related ecosystems,, -2017,sub-indicator 1: spatial extent of water-related ecosystems,,-0.1 -2010,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2011,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2012,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2013,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2014,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2015,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2016,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies, -2017,sub-indicator 1: spatial extent of water-related ecosystems,river water bodies,-0.7 -2010,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2011,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2012,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2013,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2014,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2015,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2016,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies, -2017,sub-indicator 1: spatial extent of water-related ecosystems,open water bodies,0.5 -2010,sub-indicator 3: quantity discharge of water in rivers,,3.4 -2011,sub-indicator 3: quantity discharge of water in rivers,,-1.1 -2012,sub-indicator 3: quantity discharge of water in rivers,,-1.8 -2013,sub-indicator 3: quantity discharge of water in rivers,,3.0 -2014,sub-indicator 3: quantity discharge of water in rivers,,-1.6 -2015,sub-indicator 3: quantity discharge of water in rivers,,-4.7 -2016,sub-indicator 3: quantity discharge of water in rivers,,0.7 -2017,sub-indicator 3: quantity discharge of water in rivers,,-2.6 -2010,sub-indicator 4: water bodies with good quality,, -2011,sub-indicator 4: water bodies with good quality,, -2012,sub-indicator 4: water bodies with good quality,, -2013,sub-indicator 4: water bodies with good quality,, -2014,sub-indicator 4: water bodies with good quality,,38.99 -2015,sub-indicator 4: water bodies with good quality,, -2016,sub-indicator 4: water bodies with good quality,, -2017,sub-indicator 4: water bodies with good quality,, -2010,sub-indicator 4: water bodies with good quality,river water bodies, -2011,sub-indicator 4: water bodies with good quality,river water bodies, -2012,sub-indicator 4: water bodies with good quality,river water bodies, -2013,sub-indicator 4: water bodies with good quality,river water bodies, -2014,sub-indicator 4: water bodies with good quality,river water bodies,35.08 -2015,sub-indicator 4: water bodies with good quality,river water bodies, -2016,sub-indicator 4: water bodies with good quality,river water bodies, -2017,sub-indicator 4: water bodies with good quality,river water bodies, -2010,sub-indicator 4: water bodies with good quality,open water bodies, -2011,sub-indicator 4: water bodies with good quality,open water bodies, -2012,sub-indicator 4: water bodies with good quality,open water bodies, -2013,sub-indicator 4: water bodies with good quality,open water bodies, -2014,sub-indicator 4: water bodies with good quality,open water bodies,72.41 -2015,sub-indicator 4: water bodies with good quality,open water bodies, -2016,sub-indicator 4: water bodies with good quality,open water bodies, -2017,sub-indicator 4: water bodies with good quality,open water bodies, +Year,Units,timeseries,Value +2015,km2,lakes and rivers permanent water area,5636 +2018,km2,lakes and rivers permanent water area,5666 +2015,%,lakes and rivers permanent water area as a proportion of total land area,0.016 +2018,%,lakes and rivers permanent water area as a proportion of total land area,0.016 +2015,km2,wetlands area,1547 +2018,km2,wetlands area,1558 +2015,%,wetlands area as a proportion of total land area,0.004 +2018,%,wetlands area as a proportion of total land area,0.004 +2018,%,lakes and rivers permanent water area change,0.537 diff --git a/data/indicator_7-1-1.csv b/data/indicator_7-1-1.csv index a0bbaa7bc0b..dca3cc1fcaa 100755 --- a/data/indicator_7-1-1.csv +++ b/data/indicator_7-1-1.csv @@ -21,5 +21,5 @@ Year,Units,timeseries,Value 2017,1 000,households and small-sized enterprises connected to the electricity network,47241.7 2018,1 000,households and small-sized enterprises connected to the electricity network,48394.5 2019,1 000,households and small-sized enterprises connected to the electricity network,48441.5 -2020,1 000,households and small-sized enterprises connected to the electricity network, +2020,1 000,households and small-sized enterprises connected to the electricity network,49137.9 2021,1 000,households and small-sized enterprises connected to the electricity network, diff --git a/data/indicator_8-1-1.csv b/data/indicator_8-1-1.csv index c25bd1f51e6..f96a19766ff 100755 --- a/data/indicator_8-1-1.csv +++ b/data/indicator_8-1-1.csv @@ -10,3 +10,4 @@ Year,Value 2018,1.1 2019,1.1 2020,-4.6 +2021,2.7 diff --git a/data/indicator_8-2-1.csv b/data/indicator_8-2-1.csv index 58149b2e2cd..36eb6f5c6b1 100644 --- a/data/indicator_8-2-1.csv +++ b/data/indicator_8-2-1.csv @@ -10,3 +10,4 @@ Year,Value 2018,-0.3 2019,0.1 2020,-3.8 +2021,2.7 diff --git a/data/indicator_9-1-1.csv b/data/indicator_9-1-1.csv index be14f0302bc..0476ac41c5a 100644 --- a/data/indicator_9-1-1.csv +++ b/data/indicator_9-1-1.csv @@ -9,3 +9,4 @@ Year,Value 2017,99.9 2018,99.9 2019,99.9 +2020,99.9 diff --git a/data/indicator_9-1-2.csv b/data/indicator_9-1-2.csv index a5c115c9ffc..903c1d961b5 100755 --- a/data/indicator_9-1-2.csv +++ b/data/indicator_9-1-2.csv @@ -8,8 +8,8 @@ Year,Units,timeseries,mode of transport,Value 2016,mn pkm,passenger transports,,1204775 2017,mn pkm,passenger transports,,1155136 2018,mn pkm,passenger transports,,1161885 -2019,mn pkm,passenger transports,,1169786 -2020,mn pkm,passenger transports,, +2019,mn pkm,passenger transports,,1170186 +2020,mn pkm,passenger transports,,945755 2010,mn pkm,passenger transports,road transport,78092 2011,mn pkm,passenger transports,road transport,77957 2012,mn pkm,passenger transports,road transport,76019 @@ -20,7 +20,7 @@ Year,Units,timeseries,mode of transport,Value 2017,mn pkm,passenger transports,road transport,79730 2018,mn pkm,passenger transports,road transport,80103 2019,mn pkm,passenger transports,road transport,78919 -2020,mn pkm,passenger transports,road transport, +2020,mn pkm,passenger transports,road transport,45735 2010,mn pkm,passenger transports,rail transport,83886 2011,mn pkm,passenger transports,rail transport,85414 2012,mn pkm,passenger transports,rail transport,88795 @@ -31,7 +31,7 @@ Year,Units,timeseries,mode of transport,Value 2017,mn pkm,passenger transports,rail transport,95530 2018,mn pkm,passenger transports,rail transport,98061 2019,mn pkm,passenger transports,rail transport,102026 -2020,mn pkm,passenger transports,rail transport, +2020,mn pkm,passenger transports,rail transport,58816 2010,mn pkm,passenger transports,commercial air transport,52822 2011,mn pkm,passenger transports,commercial air transport,55215 2012,mn pkm,passenger transports,commercial air transport,56180 @@ -42,7 +42,7 @@ Year,Units,timeseries,mode of transport,Value 2017,mn pkm,passenger transports,commercial air transport,67523 2018,mn pkm,passenger transports,commercial air transport,70445 2019,mn pkm,passenger transports,commercial air transport,71841 -2020,mn pkm,passenger transports,commercial air transport, +2020,mn pkm,passenger transports,commercial air transport,18704 2010,mn pkm,passenger transports,motorised private transport,902440 2011,mn pkm,passenger transports,motorised private transport,912417 2012,mn pkm,passenger transports,motorised private transport,914563 @@ -52,8 +52,8 @@ Year,Units,timeseries,mode of transport,Value 2016,mn pkm,passenger transports,motorised private transport,965151 2017,mn pkm,passenger transports,motorised private transport,912353 2018,mn pkm,passenger transports,motorised private transport,913276 -2019,mn pkm,passenger transports,motorised private transport,917000 -2020,mn pkm,passenger transports,motorised private transport, +2019,mn pkm,passenger transports,motorised private transport,917400 +2020,mn pkm,passenger transports,motorised private transport,822500 2010,mn tkm,freight transports,,627882 2011,mn tkm,freight transports,,628083 2012,mn tkm,freight transports,,618179 diff --git a/data/indicator_9-2-1.csv b/data/indicator_9-2-1.csv index f120b05433c..e959720163e 100755 --- a/data/indicator_9-2-1.csv +++ b/data/indicator_9-2-1.csv @@ -9,7 +9,8 @@ Year,Units,Value,Series 2017,%,20.4,manufacturing gross value added as a proportion of gdp 2018,%,20.0,manufacturing gross value added as a proportion of gdp 2019,%,19.4,manufacturing gross value added as a proportion of gdp -2020,%,18.1,manufacturing gross value added as a proportion of gdp +2020,%,18.2,manufacturing gross value added as a proportion of gdp +2021,%,18.3,manufacturing gross value added as a proportion of gdp 2010,%,21.9,manufacturing gross value added as a proportion of total gross value added 2011,%,22.5,manufacturing gross value added as a proportion of total gross value added 2012,%,22.4,manufacturing gross value added as a proportion of total gross value added @@ -19,8 +20,9 @@ Year,Units,Value,Series 2016,%,22.9,manufacturing gross value added as a proportion of total gross value added 2017,%,22.7,manufacturing gross value added as a proportion of total gross value added 2018,%,22.2,manufacturing gross value added as a proportion of total gross value added -2019,%,21.5,manufacturing gross value added as a proportion of total gross value added -2020,%,20.0,manufacturing gross value added as a proportion of total gross value added +2019,%,21.6,manufacturing gross value added as a proportion of total gross value added +2020,%,20.1,manufacturing gross value added as a proportion of total gross value added +2021,%,20.2,manufacturing gross value added as a proportion of total gross value added 2010,eur,6291,manufacturing gross value added per capita 2011,eur,6789,manufacturing gross value added per capita 2012,eur,6880,manufacturing gross value added per capita @@ -30,5 +32,6 @@ Year,Units,Value,Series 2016,eur,7865,manufacturing gross value added per capita 2017,eur,8060,manufacturing gross value added per capita 2018,eur,8140,manufacturing gross value added per capita -2019,eur,8108,manufacturing gross value added per capita -2020,eur,7341,manufacturing gross value added per capita +2019,eur,8126,manufacturing gross value added per capita +2020,eur,7358,manufacturing gross value added per capita +2021,eur,7851,manufacturing gross value added per capita diff --git a/meta/1-2-2.md b/meta/1-2-2.md index 9e38522a650..cb7c1be90b1 100644 --- a/meta/1-2-2.md +++ b/meta/1-2-2.md @@ -29,8 +29,6 @@ goal_meta_link_text: Metadaten zu diesem Indikator source_active_1: true source_organisation_1: Statistisches Bundesamt (Destatis) source_organisation_logo_1: Logo destatis -source_url_1: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Einkommen-Konsum-Lebensbedingungen/Lebensbedingungen-Armutsgefaehrdung/_inhalt.html#sprg233586 -source_url_text_1: EU-SILC, Einkommen und Lebensbedingungen in Deutschland und der Europäischen Union – Fachserie 15, Reihe 3 source_active_2: true source_organisation_2: Statisches Amt der Europäischen Union (Eurostat) diff --git a/meta/1-3-1.md b/meta/1-3-1.md index b033199ee00..64b705118c8 100644 --- a/meta/1-3-1.md +++ b/meta/1-3-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anteil der Bevölkerung, der durch sozialen Basisschutz/ Sozialschutzsysteme abgedeckt ist, nach Geschlecht, mit getrennter Ausweisung der Kinder, Arbeitslosen, älteren Menschen, Menschen mit Behinderungen, Schwangeren, Neugeborenen, Opfer von Arbeitsunfällen, Armen und Schwachen target_name: Den nationalen Gegebenheiten entsprechende Sozialschutzsysteme und -maßnahmen für alle umsetzen, einschließlich eines Basisschutzes, und bis 2030 eine breite Versorgung der Armen und Schwachen erreichen target_id: '1.3' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Internationale Arbeitsorganisation (ILO) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-01-03-01a.pdf goal_meta_link_text: Metadaten zu diesem Indikator (Internationale Arbeitsorganisation) diff --git a/meta/1-4-2.md b/meta/1-4-2.md index f0b342a89e7..2c7a401b183 100644 --- a/meta/1-4-2.md +++ b/meta/1-4-2.md @@ -21,7 +21,7 @@ indicator_name: Anteil der gesamten erwachsenen Bevölkerung, der sichere Landnu target_name: Bis 2030 sicherstellen, dass alle Männer und Frauen, insbesondere die Armen und Schwachen, die gleichen Rechte auf wirtschaftliche Ressourcen sowie Zugang zu grundlegenden Diensten, Grundeigentum und Verfügungsgewalt über Grund und Boden und sonstigen Vermögensformen, Erbschaften, natürlichen Ressourcen, geeigneten neuen Technologien und Finanzdienstleistungen einschließlich Mikrofinanzierung haben target_id: '1.4' un_designated_tier: Tier II -un_custodian_agency: Programm der Vereinten Nationen für menschliche Siedlungen (UN-Habitat)
Weltbank (WB) +un_custodian_agency: Weltbank (WB)
Programm der Vereinten Nationen für menschliche Siedlungen (UN-Habitat) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-01-04-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/1-5-3.md b/meta/1-5-3.md index e488ddece7b..bef89483ce2 100644 --- a/meta/1-5-3.md +++ b/meta/1-5-3.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anzahl der Staaten, die nationale Strategien zur Katastrophenvorsorge im Einklang mit dem Sendai-Rahmen für Katastrophenvorsorge 2015-2030 beschließen und umsetzen target_name: Bis 2030 die Widerstandsfähigkeit der Armen und der Menschen in prekären Situationen erhöhen und ihre Exposition und Anfälligkeit gegenüber klimabedingten Extremereignissen und anderen wirtschaftlichen, sozialen und ökologischen Schocks und Katastrophen verringern target_id: '1.5' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Büro der Vereinten Nationen für Katastrophenvorsorge (UNDRR) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-01-05-03.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/1-a-2.md b/meta/1-a-2.md index 6b1a73fed5b..bdb0fd1ed41 100644 --- a/meta/1-a-2.md +++ b/meta/1-a-2.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Gesamtausgaben des Staates für Grundleistungen (Bild target_name: Eine erhebliche Mobilisierung von Ressourcen aus einer Vielzahl von Quellen gewährleisten, einschließlich durch verbesserte Entwicklungszusammenarbeit, um den Entwicklungsländern und insbesondere den am wenigsten entwickelten Ländern ausreichende und berechenbare Mittel für die Umsetzung von Programmen und Politiken zur Beendigung der Armut in all ihren Dimensionen bereitzustellen target_id: '1.a' un_designated_tier: Tier II -un_custodian_agency: In Diskussion zwischen den Agenturen (Internationale Arbeitsorganisation (ILO), UNESCO-Institut für Statistik (UNESCO-UIS), Weltgesundheitsorganisation (WHO)) +un_custodian_agency: In Diskussion zwischen den Agenturen (Internationale Arbeitsorganisation (ILO)
UNESCO-Institut für Statistik (UNESCO-UIS)
Weltgesundheitsorganisation (WHO)) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-01-0a-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/1-b-1.md b/meta/1-b-1.md index 4ef315758c6..daf5704ea3c 100644 --- a/meta/1-b-1.md +++ b/meta/1-b-1.md @@ -21,7 +21,7 @@ indicator_name: Armutsorientierte öffentliche Sozialausgaben target_name: Auf nationaler, regionaler und internationaler Ebene solide politische Rahmen auf der Grundlage armutsorientierter und geschlechtersensibler Entwicklungsstrategien schaffen, um beschleunigte Investitionen in Maßnahmen zur Beseitigung der Armut zu unterstützen target_id: '1.b' un_designated_tier: Tier II -un_custodian_agency: Kinderhilfswerk der Vereinten Nationen (UNICEF), Save the Children +un_custodian_agency: Kinderhilfswerk der Vereinten Nationen (UNICEF) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-01-0b-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/10-4-1.md b/meta/10-4-1.md index e3bc44da75a..716b8439999 100644 --- a/meta/10-4-1.md +++ b/meta/10-4-1.md @@ -48,7 +48,7 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 vorläufige Daten. +data_footnote: 2018 bis 2021 vorläufige Daten. # Grafik Eigenschaften graph_title: Anteil des Arbeitnehmerentgelts am BIP diff --git a/meta/10-6-1.md b/meta/10-6-1.md index 1370624e7f1..7f5f1355f1d 100644 --- a/meta/10-6-1.md +++ b/meta/10-6-1.md @@ -21,7 +21,7 @@ indicator_name: Mitglieder- und Stimmrechtsanteil von Entwicklungsländern in in target_name: Eine bessere Vertretung und verstärkte Mitsprache der Entwicklungsländer bei der Entscheidungsfindung in den globalen internationalen Wirtschafts- und Finanzinstitutionen sicherstellen, um die Wirksamkeit, Glaubwürdigkeit, Rechenschaftslegung und Legitimation dieser Institutionen zu erhöhen target_id: '10.6' un_designated_tier: Tier I -un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen - Büro für die Finanzierung nachhaltiger Entwicklung (DESA-FFDO) +un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen - Büro für die Finanzierung nachhaltiger Entwicklung (DESA/FFDO) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-10-06-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/10-7-2.md b/meta/10-7-2.md index 275d13790cf..62b05c177c8 100644 --- a/meta/10-7-2.md +++ b/meta/10-7-2.md @@ -21,7 +21,7 @@ indicator_name: Anzahl der Staaten mit einer Migrationspolitik, die eine geordne target_name: Eine geordnete, sichere, reguläre und verantwortungsvolle Migration und Mobilität von Menschen ermöglichen, unter anderem durch die Anwendung einer planvollen und gut gesteuerten Migrationspolitik target_id: '10.7' un_designated_tier: Tier II -un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA)
Internationale Organisation für Migration (IOM) +un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA) Bevölkerungs Abteilung
Internationale Organisation für Migration (IOM) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-10-07-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/11-2-1.md b/meta/11-2-1.md index c2c7d87c5d5..acdd47996e3 100644 --- a/meta/11-2-1.md +++ b/meta/11-2-1.md @@ -56,7 +56,7 @@ data_start_values: value: population that has convenient access to public transport (within 10 minutes walking distance) (%) computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 'Bevölkerung, die Zugang zu öffentlichen Verkehrsmitteln hat (innerhalb von 500 Metern): Die Daten basieren auf einer Sonderauswertung und sind nicht öffentlich zugänglich. Daten sind erst ab 2016 verfügbar.' +data_footnotes: 'Die Daten basieren auf einer Sonderauswertung und sind nicht öffentlich zugänglich.
• Bevölkerung, die Zugang zu öffentlichen Verkehrsmitteln hat (innerhalb von 500 Metern): Daten sind erst ab 2016 verfügbar.' # Grafik Eigenschaften graph_title: Bevölkerung, die Zugang zu öffentlichen Verkehrsmitteln hat diff --git a/meta/11-b-1.md b/meta/11-b-1.md index cd871e49a57..1294f949358 100644 --- a/meta/11-b-1.md +++ b/meta/11-b-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anzahl der Staaten, die nationale Strategien zur Katastrophenvorsorge im Einklang mit dem Sendai-Rahmen für Katastrophenvorsorge 2015-2030 beschließen und umsetzen target_name: Bis 2020 die Zahl der Städte und Siedlungen, die integrierte Politiken und Pläne zur Förderung der Inklusion, der Ressourceneffizienz, der Abschwächung des Klimawandels, der Klimaanpassung und der Widerstandsfähigkeit gegenüber Katastrophen beschließen und umsetzen, wesentlich erhöhen und gemäß dem Sendai-Rahmen für Katastrophenvorsorge 2015-2030 ein ganzheitliches Katastrophenrisikomanagement auf allen Ebenen entwickeln und umsetzen target_id: '11.b' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Büro der Vereinten Nationen für Katastrophenvorsorge (UNDRR) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-11-0B-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/13-1-2.md b/meta/13-1-2.md index 405d804b1b3..fc886d0b4e0 100644 --- a/meta/13-1-2.md +++ b/meta/13-1-2.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anzahl der Staaten, die nationale Strategien zur Katastrophenvorsorge im Einklang mit dem Sendai-Rahmen für Katastrophenvorsorge 2015-2030 beschließen und umsetzen target_name: Die Widerstandskraft und die Anpassungsfähigkeit gegenüber klimabedingten Gefahren und Naturkatastrophen in allen Ländern stärken target_id: '13.1' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Büro der Vereinten Nationen für Katastrophenvorsorge (UNDRR) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-13-01-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/13-2-1.md b/meta/13-2-1.md index d7fba1f465e..97a6a5c56f1 100644 --- a/meta/13-2-1.md +++ b/meta/13-2-1.md @@ -21,7 +21,7 @@ indicator_name: Anzahl der Staaten mit national festgelegten Beiträgen, langfri target_name: Klimaschutzmaßnahmen in die nationalen Politiken, Strategien und Planungen einbeziehen target_id: '13.2' un_designated_tier: Tier II -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: Rahmenübereinkommen der Vereinten Nationen über Klimaänderungen (UNFCCC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-13-02-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/13-2-2.md b/meta/13-2-2.md index 8ee3df123dc..a98a18a54f7 100644 --- a/meta/13-2-2.md +++ b/meta/13-2-2.md @@ -21,7 +21,7 @@ indicator_name: Gesamte Treibhausgasemissionen pro Jahr target_name: Klimaschutzmaßnahmen in die nationalen Politiken, Strategien und Planungen einbeziehen target_id: '13.2' un_designated_tier: Tier I -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: Rahmenübereinkommen der Vereinten Nationen über Klimaänderungen (UNFCCC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-13-02-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/13-a-1.md b/meta/13-a-1.md index 8ed9745ac97..afccfc099c1 100644 --- a/meta/13-a-1.md +++ b/meta/13-a-1.md @@ -21,7 +21,7 @@ indicator_name: Bereitgestellte und mobilisierte Mittel für das fortbestehende target_name: Die Verpflichtung erfüllen, die von den Vertragsparteien des Rahmenübereinkommens der Vereinten Nationen über Klimaänderungen, die entwickelte Länder sind, übernommen wurde, bis 2020 gemeinsam jährlich 100 Milliarden Dollar aus allen Quellen aufzubringen, um den Bedürfnissen der Entwicklungsländer im Kontext sinnvoller Klimaschutzmaßnahmen und einer transparenten Umsetzung zu entsprechen, und den Grünen Klimafonds vollständig zu operationalisieren, indem er schnellstmöglich mit den erforderlichen Finanzmitteln ausgestattet wird target_id: '13.a' un_designated_tier: Tier II -un_custodian_agency: Sekretariat der UN-Klimarahmenkonvention (UNFCCC-Sekretariat) +un_custodian_agency: Rahmenübereinkommen der Vereinten Nationen über Klimaänderungen (UNFCCC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-13-0a-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/13-b-1.md b/meta/13-b-1.md index 0cb82c5375e..2518961229f 100644 --- a/meta/13-b-1.md +++ b/meta/13-b-1.md @@ -21,7 +21,7 @@ indicator_name: Anzahl der am wenigsten entwickelten Länder und kleinen Inselen target_name: Mechanismen zum Ausbau effektiver Planungs- und Managementkapazitäten im Bereich des Klimawandels in den am wenigsten entwickelten Ländern und kleinen Inselentwicklungsländern fördern, unter anderem mit gezielter Ausrichtung auf Frauen, junge Menschen sowie lokale und marginalisierte Gemeinwesen target_id: '13.b' un_designated_tier: Tier II -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: Rahmenübereinkommen der Vereinten Nationen über Klimaänderungen (UNFCCC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-13-0b-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/14-4-1.md b/meta/14-4-1.md index acff0bf2645..f589b9563ed 100644 --- a/meta/14-4-1.md +++ b/meta/14-4-1.md @@ -29,7 +29,7 @@ goal_meta_link_text: Metadaten zu diesem Indikator source_active_1: true source_organisation_1: Europäische Kommission source_organisation_logo_1: Logo europeancommission -source_url_1: https://stecf.jrc.ec.europa.eu/reports/cfp-monitoring/-/asset_publisher/oz5O/document/id/2667730?inheritRedirect=false&redirect=https%3A%2F%2Fstecf.jrc.ec.europa.eu%2Freports%2Fcfp-monitoring%3Fp_p_id%3D101_INSTANCE_oz5O%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-2%26p_p_col_pos%3D1%26p_p_col_count%3D2 +source_url_1: https://stecf.jrc.ec.europa.eu/reports/cfp-monitoring source_url_text_1: Bericht des STECF zur Beobachtung der Leistung der Gemeinsamen Fischereipolitik (nicht auf Deutsch verfügbar) source_active_2: false diff --git a/meta/14-5-1.md b/meta/14-5-1.md index 41233d4f72f..a8664f630d1 100644 --- a/meta/14-5-1.md +++ b/meta/14-5-1.md @@ -21,7 +21,7 @@ indicator_name: Ausdehnung von Schutzgebieten im Verhältnis zu den gesamten Mee target_name: Bis 2020 mindestens 10 Prozent der Küsten- und Meeresgebiete im Einklang mit dem nationalen Recht und dem Völkerrecht und auf der Grundlage der besten verfügbaren wissenschaftlichen Informationen erhalten target_id: '14.5' un_designated_tier: Tier I -un_custodian_agency: UNEP Weltüberwachungszentrum für Naturschutz (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) +un_custodian_agency: Weltüberwachungszentrum für Naturschutz der Vereinten Nationen (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-14-05-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/14-7-1.md b/meta/14-7-1.md index c0962b443e0..0302bc1aff6 100644 --- a/meta/14-7-1.md +++ b/meta/14-7-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der nachhaltigen Fischerei am BIP der kleinen Inselentwic target_name: Bis 2030 die sich aus der nachhaltigen Nutzung der Meeresressourcen ergebenden wirtschaftlichen Vorteile für die kleinen Inselentwicklungsländer und die am wenigsten entwickelten Länder erhöhen, namentlich durch nachhaltiges Management der Fischerei, der Aquakultur und des Tourismus target_id: '14.7' un_designated_tier: Tier I -un_custodian_agency: Ernährungs- und Landwirtschaftsorganisation der Vereinten Nationen (FAO)
UNEP Weltüberwachungszentrum für Naturschutz (UNEP-WCMC) +un_custodian_agency: Ernährungs- und Landwirtschaftsorganisation der Vereinten Nationen (FAO)
Weltüberwachungszentrum für Naturschutz der Vereinten Nationen (UNEP-WCMC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-14-07-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/14-c-1.md b/meta/14-c-1.md index da68646c32f..64016bf1fb5 100644 --- a/meta/14-c-1.md +++ b/meta/14-c-1.md @@ -21,7 +21,7 @@ indicator_name: Anzahl der Staaten, die bei der Ratifizierung, Annahme und Durch target_name: Die Erhaltung und nachhaltige Nutzung der Ozeane und ihrer Ressourcen verbessern und zu diesem Zweck das Völkerrecht umsetzen, wie es im Seerechtsübereinkommen der Vereinten Nationen niedergelegt ist, das den rechtlichen Rahmen für die Erhaltung und nachhaltige Nutzung der Ozeane und ihrer Ressourcen vorgibt, worauf in Ziffer 158 des Dokuments „Die Zukunft, die wir wollen“ hingewiesen wird target_id: '14.c' un_designated_tier: Tier II -un_custodian_agency: United Nations Division for Ocean Affairs and the Law of the Sea (UN-DOALOS), Office of Legal Affairs, United Nations Secretariat +un_custodian_agency: Abteilung Meeresangelegenheiten und Seerecht der Vereinten Nationen (UN-DOALOS) und weitere UN-Ocean Mitglieder goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-14-0c-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-1-2.md b/meta/15-1-2.md index 192c5c384aa..5914a3630f9 100644 --- a/meta/15-1-2.md +++ b/meta/15-1-2.md @@ -22,7 +22,7 @@ indicator_name: Von Schutzgebieten erfasster Anteil der für die biologische Vie target_name: Bis 2020 im Einklang mit den Verpflichtungen aus internationalen Übereinkünften die Erhaltung, Wiederherstellung und nachhaltige Nutzung der Land- und Binnensüßwasser-Ökosysteme und ihrer Dienstleistungen, insbesondere der Wälder, der Feuchtgebiete, der Berge und der Trockengebiete, gewährleisten target_id: '15.1' un_designated_tier: Tier I -un_custodian_agency: UNEP Weltüberwachungszentrum für Naturschutz (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) +un_custodian_agency: Weltüberwachungszentrum für Naturschutz der Vereinten Nationen (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-01-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-4-1.md b/meta/15-4-1.md index 03aff6d781d..a0cc8fea357 100644 --- a/meta/15-4-1.md +++ b/meta/15-4-1.md @@ -21,7 +21,7 @@ indicator_name: Von Schutzgebieten erfasster Anteil der für die biologische Vie target_name: Bis 2030 die Erhaltung der Bergökosysteme einschließlich ihrer biologischen Vielfalt sicherstellen, um ihre Fähigkeit zur Erbringung wesentlichen Nutzens für die nachhaltige Entwicklung zu stärken target_id: '15.4' un_designated_tier: Tier I -un_custodian_agency: UNEP Weltüberwachungszentrum für Naturschutz (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) +un_custodian_agency: Weltüberwachungszentrum für Naturschutz der Vereinten Nationen (UNEP-WCMC)
Umweltprogramm der Vereinten Nationen (UNEP)
Internationale Union zur Bewahrung der Natur (IUCN) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-04-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-6-1.md b/meta/15-6-1.md index ccd15202851..e3e9e3e0bcc 100644 --- a/meta/15-6-1.md +++ b/meta/15-6-1.md @@ -21,7 +21,7 @@ indicator_name: Anzahl der Staaten, die rechtliche, administrative und politisch target_name: Die gerechte und gleichmäßige Verteilung der sich aus der Nutzung der genetischen Ressourcen ergebenden Vorteile und den angemessenen Zugang zu diesen Ressourcen fördern, wie auf internationaler Ebene vereinbart target_id: '15.6' un_designated_tier: Tier I -un_custodian_agency: Secretariat of the Convention on Biological Diversity (CBD) +un_custodian_agency: Sekretariat der Vereinten Nationen zur Biodiversitätskonvention (CBD-Secretariat) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-06-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-9-1.md b/meta/15-9-1.md index a1211c4347c..dbc37ca2e13 100644 --- a/meta/15-9-1.md +++ b/meta/15-9-1.md @@ -21,7 +21,7 @@ indicator_name: a) Anzahl der Staaten, die nationale Zielvorgaben gemäß oder target_name: Bis 2020 Ökosystem- und Biodiversitätswerte in die nationalen und lokalen Planungen, Entwicklungsprozesse, Armutsbekämpfungsstrategien und Gesamtrechnungssysteme einbeziehen target_id: '15.9' un_designated_tier: Tier I/II -un_custodian_agency: Umweltprogramm der Vereinten Nationen (UNEP)
Secretariat of the Convention on Biological Diversity (CBD) +un_custodian_agency: Sekretariat der Vereinten Nationen zur Biodiversitätskonvention (CBD-Secretariat)
Umweltprogramm der Vereinten Nationen (UNEP) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-09-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-a-1.md b/meta/15-a-1.md index dc6c780a3f4..c4faf278894 100644 --- a/meta/15-a-1.md +++ b/meta/15-a-1.md @@ -21,7 +21,7 @@ indicator_name: a) Öffentliche Entwicklungszusammenarbeit (ODA) für die Erhal target_name: Finanzielle Mittel aus allen Quellen für die Erhaltung und nachhaltige Nutzung der biologischen Vielfalt und der Ökosysteme aufbringen und deutlich erhöhen target_id: '15.a' un_designated_tier: Tier I -un_custodian_agency: OECD, UNEP, World Bank +un_custodian_agency: Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD)
Umweltprogramm der Vereinten Nationen (UNEP)
Weltbank (WB) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-0a-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/15-b-1.md b/meta/15-b-1.md index bf3b0ad5f33..42927f72104 100644 --- a/meta/15-b-1.md +++ b/meta/15-b-1.md @@ -21,7 +21,7 @@ indicator_name: a) Öffentliche Entwicklungszusammenarbeit (ODA) für die Erhal target_name: Erhebliche Mittel aus allen Quellen und auf allen Ebenen für die Finanzierung einer nachhaltigen Bewirtschaftung der Wälder aufbringen und den Entwicklungsländern geeignete Anreize für den vermehrten Einsatz dieser Bewirtschaftungsform bieten, namentlich zum Zweck der Walderhaltung und Wiederaufforstung target_id: '15.b' un_designated_tier: Tier I -un_custodian_agency: OECD, UNEP, World Bank +un_custodian_agency: Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD)
Umweltprogramm der Vereinten Nationen (UNEP)
Weltbank (WB) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-15-0b-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/16-3-3.md b/meta/16-3-3.md index 0ab7d97f21f..dce054c9d53 100644 --- a/meta/16-3-3.md +++ b/meta/16-3-3.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Bevölkerung, der in den vorangegangenen zwei Jahren target_name: Die Rechtsstaatlichkeit auf nationaler und internationaler Ebene fördern und den gleichberechtigten Zugang aller zur Justiz gewährleisten target_id: '16.3' un_designated_tier: Tier II -un_custodian_agency: Entwicklungsprogramm der Vereinten Nationen (UNDP)
Büro der Vereinten Nationen für Drogen- und Verbrechensbekämpfung (UNODC)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) +un_custodian_agency: Entwicklungsprogramm der Vereinten Nationen (UNDP)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD)
Büro der Vereinten Nationen für Drogen- und Verbrechensbekämpfung (UNODC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-16-03-03.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/16-7-1.md b/meta/16-7-1.md index 61acbedfdcb..c72b5dffc01 100644 --- a/meta/16-7-1.md +++ b/meta/16-7-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Stellen in nationalen und lokalen Institutionen, eins target_name: Dafür sorgen, dass die Entscheidungsfindung auf allen Ebenen bedarfsorientiert, inklusiv, partizipatorisch und repräsentativ ist target_id: '16.7' un_designated_tier: Tier I/II -un_custodian_agency: Entwicklungsprogramm der Vereinten Nationen (UNDP)
Inter-Parliamentary Union (IPU) +un_custodian_agency: Interparlamentarische Union (IPU)
Entwicklungsprogramm der Vereinten Nationen (UNDP) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-16-07-01a.pdf goal_meta_link_text: Metadaten zu diesem Indikator (16.7.1 (a)) goal_meta_2_link: https://unstats.un.org/sdgs/metadata/files/Metadata-16-07-01b.pdf diff --git a/meta/16-8-1.md b/meta/16-8-1.md index 76cf22d5314..7765d121f65 100644 --- a/meta/16-8-1.md +++ b/meta/16-8-1.md @@ -21,7 +21,7 @@ indicator_name: Mitglieder- und Stimmrechtsanteil von Entwicklungsländern in in target_name: Die Teilhabe der Entwicklungsländer an den globalen Lenkungsinstitutionen erweitern und verstärken target_id: '16.8' un_designated_tier: Tier I -un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen - Büro für die Finanzierung nachhaltiger Entwicklung (DESA-FFDO) +un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen - Büro für die Finanzierung nachhaltiger Entwicklung (DESA/FFDO) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-16-08-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/16-9-1.md b/meta/16-9-1.md index b4be643a16f..7eae31eac6f 100644 --- a/meta/16-9-1.md +++ b/meta/16-9-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Kinder unter 5 Jahren, deren Geburt von einer Zivilbe target_name: Bis 2030 insbesondere durch die Registrierung der Geburten dafür sorgen, dass alle Menschen eine rechtliche Identität haben target_id: '16.9' un_designated_tier: Tier I -un_custodian_agency: Kinderhilfswerk der Vereinten Nationen (UNICEF)
Statistische Division der Vereinten Nationen (UNSD) +un_custodian_agency: Statistische Division der Vereinten Nationen (UNSD)
Kinderhilfswerk der Vereinten Nationen (UNICEF) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-16-09-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/17-1-1.md b/meta/17-1-1.md index 81444501f08..d04bb2d5313 100644 --- a/meta/17-1-1.md +++ b/meta/17-1-1.md @@ -48,7 +48,7 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 vorläufige Daten. +data_footnote: 2018 bis 2021 vorläufige Daten. # Grafik Eigenschaften graph_title: Verhältnis der Gesamteinnahmen des Staates zum BIP diff --git a/meta/17-1-2.md b/meta/17-1-2.md index 5439887e204..1e056d5671d 100644 --- a/meta/17-1-2.md +++ b/meta/17-1-2.md @@ -46,7 +46,7 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 vorläufige Daten. +data_footnote: 2018 bis 2021 vorläufige Daten. # Grafik Eigenschaften graph_title: Anteil der Staatsausgaben, die durch Steuern und Sozialversicherungsausgaben finanziert werden diff --git a/meta/17-13-1.md b/meta/17-13-1.md index 0492b5efe74..f6366cd05cd 100644 --- a/meta/17-13-1.md +++ b/meta/17-13-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Makroökonomisches Dashboard target_name: Die globale makroökonomische Stabilität verbessern, namentlich durch Politikkoordinierung und Politikkohärenz target_id: '17.13' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Weltbank (WB) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator @@ -70,7 +70,7 @@ data_start_values: value: annual growth rate of real gdp computation_units_plural: 1 000; Milliarden EUR; 2015 = 100; Millionen Stunden; Prozent copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 teilweise vorläufige Daten. +data_footnote: 2018 bis 2021 teilweise vorläufige Daten. # Grafik Eigenschaften graph_title: Makroökonomisches Dashboard diff --git a/meta/17-17-1.md b/meta/17-17-1.md index 9e245159082..c0556ddfade 100644 --- a/meta/17-17-1.md +++ b/meta/17-17-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Zugesagte Beträge für öffentlich-private Partnerschaften im Bereich Infrastruktur, in US-Dollar target_name: Die Bildung wirksamer öffentlicher, öffentlich-privater und zivilgesellschaftlicher Partnerschaften aufbauend auf den Erfahrungen und Mittelbeschaffungsstrategien bestehender Partnerschaften unterstützen und fördern target_id: '17.17' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Weltbank (WB) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-17-17-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/2-1-2.md b/meta/2-1-2.md index 3d3c6062791..6b195693674 100644 --- a/meta/2-1-2.md +++ b/meta/2-1-2.md @@ -48,11 +48,14 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' +data_footnote: 'Die Ergebnisse ab 2020 sind nur eingeschränkt mit den Vorjahren vergleichbar. Weiterführende Informationen siehe "3. Data description" in den nationalen Metadaten.' # Grafik Eigenschaften graph_title: Materielle Deprivation bezogen auf Ernährungsunsicherheit graph_type: line +graph_series_breaks: + - value: 9.5 show_line: true span_gaps: true diff --git a/meta/3-5-2.md b/meta/3-5-2.md index 9875fbe730e..e39c121cce3 100644 --- a/meta/3-5-2.md +++ b/meta/3-5-2.md @@ -36,7 +36,7 @@ source_url_text_1b: Absatz von Bier, betriebene Braustätten, Verbrauch von Bier source_url_1c: https://www-genesis.destatis.de/genesis//online?operation=table&code=12411-0041 source_url_text_1c: Durchschnittliche Bevölkerung – GENESIS online 12411-0041 source_url_1d: https://www-genesis.destatis.de/genesis//online?operation=table&code=73423-0001&bypass=true&language=de -source_url_text_1d: Absatz, Verbrauch und Hersteller von Schaumwein +source_url_text_1d: Absatz, Verbrauch und Hersteller von Schaumwein – GENESIS online 73423-0001 source_active_2: true source_organisation_2: Bundesministerium für Ernährung und Landwirtschaft (BMEL) diff --git a/meta/3-7-1.md b/meta/3-7-1.md index bdafb23328b..9d51fc2b3c5 100644 --- a/meta/3-7-1.md +++ b/meta/3-7-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Frauen im gebärfähigen Alter (im Alter von 15-49 Ja target_name: Bis 2030 den allgemeinen Zugang zu sexual- und reproduktionsmedizinischer Versorgung, einschließlich Familienplanung, Information und Aufklärung, und die Einbeziehung der reproduktiven Gesundheit in nationale Strategien und Programme gewährleisten target_id: '3.7' un_designated_tier: Tier I -un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA) +un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA) Bevölkerungs Abteilung goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-03-07-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/3-7-2.md b/meta/3-7-2.md index 7fa3b52ebba..6223492bbd4 100644 --- a/meta/3-7-2.md +++ b/meta/3-7-2.md @@ -21,7 +21,7 @@ indicator_name: Geburtenrate bei Jugendlichen (im Alter von 10-14 Jahren und 15- target_name: Bis 2030 den allgemeinen Zugang zu sexual- und reproduktionsmedizinischer Versorgung, einschließlich Familienplanung, Information und Aufklärung, und die Einbeziehung der reproduktiven Gesundheit in nationale Strategien und Programme gewährleisten target_id: '3.7' un_designated_tier: Tier I -un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA) +un_custodian_agency: Hauptabteilung Wirtschaftliche und Soziale Angelegenheiten der Vereinten Nationen (UN DESA) Bevölkerungs Abteilung goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-03-07-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/3-b-1.md b/meta/3-b-1.md index ed66456692d..7ce7f64c6b9 100644 --- a/meta/3-b-1.md +++ b/meta/3-b-1.md @@ -27,14 +27,16 @@ goal_meta_link_text: Metadaten zu diesem Indikator # Datenquellen source_active_1: true -source_organisation_1: Robert Koch-Institut (RKI) -source_organisation_logo_1: Logo rki -source_url_1: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/32-33_20.pdf -source_url_text_1: Epidemiologisches Bulletin 32+33/2020 -source_url_1b: http://www.gbe-bund.de/gbe10/I?I=831:27110398 -source_url_text_1b: Impfquote der Kinder mit vorgelegtem Impfausweis bei Einschulungsuntersuchungen – GBE +source_organisation_1: Statistisches Bundesamt (Destatis) +source_organisation_logo_1: Logo destatis +source_url_1: http://www.gbe-bund.de/gbe10/I?I=831:27110398 +source_url_text_1: Impfquote der Kinder mit vorgelegtem Impfausweis bei Einschulungsuntersuchungen – GBE -source_active_2: false +source_active_2: true +source_organisation_2: Robert Koch-Institut (RKI) +source_organisation_logo_2: Logo rki +source_url_2: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/32-33_20.pdf +source_url_text_2: Epidemiologisches Bulletin 32+33/2020 source_active_3: false diff --git a/meta/3-d-2.md b/meta/3-d-2.md index fc71bac6731..81d9fb6f1c4 100644 --- a/meta/3-d-2.md +++ b/meta/3-d-2.md @@ -21,7 +21,7 @@ indicator_name: Anteil der Blutvergiftungen, die von bestimmten gegen antimikrob target_name: Die Kapazitäten aller Länder, insbesondere der Entwicklungsländer, in den Bereichen Frühwarnung, Risikominderung und Management nationaler und globaler Gesundheitsrisiken stärken target_id: '3.d' un_designated_tier: Tier II -un_custodian_agency: +un_custodian_agency: Weltgesundheitsorganisation (WHO) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-03-0d-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/4-4-1.md b/meta/4-4-1.md index 248d57d717f..f97abaf145e 100644 --- a/meta/4-4-1.md +++ b/meta/4-4-1.md @@ -11,7 +11,7 @@ published: true data_non_statistical: false # Nationale Metadaten -national_indicator_available: Personen mit computerbezogenen Aktivitäten in den letzten 12 Monaten +national_indicator_available: Anteil der Bevölkerung mit computerbezogenen Aktivitäten comparison_sdg: Die Zeitreihe entspricht den globalen Metadaten. goal_meta_national_link: https://sdg-indikatoren.de/public/MetaDe/4.4.1.pdf goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen @@ -27,14 +27,16 @@ goal_meta_link_text: Metadaten zu diesem Indikator # Datenquellen source_active_1: true -source_organisation_1: Statisches Amt der Europäischen Union (Eurostat) -source_organisation_logo_1: Logo eurostat -source_url_1: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i/default/table?lang=de -source_url_text_1: Niveau der Computerkenntnisse von Einzelpersonen - Eurostat Tabelle [isoc_sk_cskl_i] +source_organisation_1: Statistisches Bundesamt (Destatis) +source_organisation_logo_1: Logo destatis source_active_2: true -source_organisation_2: Statistisches Bundesamt (Destatis) -source_organisation_logo_2: Logo destatis +source_organisation_2: Statisches Amt der Europäischen Union (Eurostat) +source_organisation_logo_2: Logo eurostat +source_url_2: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i/default/table?lang=de +source_url_text_2: Niveau der Computerkenntnisse von Einzelpersonen - Eurostat Tabelle [isoc_sk_cskl_i] +source_url_2b: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i21/default/table?lang=de +source_url_text_2b: Niveau der Computerkenntnisse von Einzelpersonen (ab 2021) - Eurostat Tabelle [isoc_sk_cskl_i21] source_active_3: false @@ -46,30 +48,24 @@ source_active_6: false data_show_map: False data_start_values: - - field: activities - value: copied or moved a file and folder - - field: activities - value: using copy or cut and paste tools to duplicate or move information on screen - field: activities value: written code in a programming language - - field: activities - value: "connecting and installing new devices, eg a printer or a modem" - field: activities value: transferred files between computer and other devices - field: activities value: installed software or applications (apps) - - field: activities - value: "creating electronic presentations with presentation software (e.g. slides), including e.g. images, sound, video or charts" - field: activities value: "used spreadsheet`s advanced functions to organize and analyze data, such as sorting, filtering, using formulas, creating charts" computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: +data_footnote: Ab dem Erhebungsjahr 2021 ist die Erhebung zur Nutzung von Informations- und Kommunikationstechnologien in privaten Haushalten (IKT) als Unterstichprobe in den Mikrozensus integriert. Aufgrund der damit verbundenen methodischen Änderungen ist ein Vergleich der Ergebnisse des Erhebungsjahres 2021 mit den Vorjahren nur sehr eingeschränkt möglich (Zeitreihenbruch). # Grafik Eigenschaften -graph_title: Personen mit computerbezogenen Aktivitäten in den letzten 12 Monaten -graph_type: line +graph_title: Anteil der Bevölkerung mit computerbezogenen Aktivitäten +graph_type: bar +graph_series_breaks: + - value: 10.0 show_line: true span_gaps: true diff --git a/meta/5-1-1.md b/meta/5-1-1.md index 62f576853fa..5c84db62490 100644 --- a/meta/5-1-1.md +++ b/meta/5-1-1.md @@ -21,7 +21,7 @@ indicator_name: Vorhandensein gesetzlicher Rahmenbedingungen zur Förderung, Dur target_name: Alle Formen der Diskriminierung von Frauen und Mädchen überall auf der Welt beenden target_id: '5.1' un_designated_tier: Tier II -un_custodian_agency: Einheit der Vereinten Nationen für Gleichstellung und Ermächtigung der Frauen (UN Women)
Weltbank (WB)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) +un_custodian_agency: Einheit der Vereinten Nationen für Gleichstellung und Ermächtigung der Frauen (UN Women)
Weltbank (WB)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) Zentrum für Entwicklung goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/5-2-1.md b/meta/5-2-1.md index 1502b331996..8032357c839 100644 --- a/meta/5-2-1.md +++ b/meta/5-2-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anteil der Frauen und Mädchen im Alter von 15 Jahren und älter, die in den vorangegangenen 12 Monaten physischer, sexueller oder psychischer Gewalt durch aktuelle oder ehemalige Intimpartner/ -innen ausgesetzt waren, nach Art der Gewalt und Alter target_name: Alle Formen von Gewalt gegen alle Frauen und Mädchen im öffentlichen und im privaten Bereich einschließlich des Menschenhandels und sexueller und anderer Formen der Ausbeutung beseitigen target_id: '5.2' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Kinderhilfswerk der Vereinten Nationen (UNICEF)
Einheit der Vereinten Nationen für Gleichstellung und Ermächtigung der Frauen (UN Women)
Bevölkerungsfonds der Vereinten Nationen (UNFPA)
Weltgesundheitsorganisation (WHO)
Büro der Vereinten Nationen für Drogen- und Verbrechensbekämpfung (UNODC) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-05-02-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/6-1-1.md b/meta/6-1-1.md index 309d71527f1..b24283b6a3f 100644 --- a/meta/6-1-1.md +++ b/meta/6-1-1.md @@ -20,7 +20,7 @@ goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen indicator_name: Anteil der Bevölkerung, der eine sicher verwaltete Trinkwasserversorgung nutzt target_name: Bis 2030 den allgemeinen und gerechten Zugang zu einwandfreiem und bezahlbarem Trinkwasser für alle erreichen target_id: '6.1' -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: Weltgesundheitsorganisation (WHO)
Kinderhilfswerk der Vereinten Nationen (UNICEF) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-06-01-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/6-5-2.md b/meta/6-5-2.md index d5fae6e5fb7..80d5af7ca56 100644 --- a/meta/6-5-2.md +++ b/meta/6-5-2.md @@ -21,7 +21,7 @@ indicator_name: Anteil der grenzüberschreitenden Wassereinzugsgebiete mit einer target_name: Bis 2030 auf allen Ebenen eine integrierte Bewirtschaftung der Wasserressourcen umsetzen, gegebenenfalls auch mittels grenzüberschreitender Zusammenarbeit target_id: '6.5' un_designated_tier: Tier I -un_custodian_agency: Zwischenstaatliches Hydrologisches Programm der UNESCO (IHP)
Wirtschaftskommission für Europa der Vereinten Nationen (UNECE) +un_custodian_agency: Zwischenstaatliches Hydrologisches Programm der UNESCO (UNESCO-IHP)
Wirtschaftskommission für Europa der Vereinten Nationen (UNECE) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-06-05-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/6-6-1.md b/meta/6-6-1.md index af1203f448d..21c91e90faa 100644 --- a/meta/6-6-1.md +++ b/meta/6-6-1.md @@ -6,14 +6,14 @@ indicator_number: 6.6.1 indicator_sort_order: '06-06-01' permalink: /6-6-1/ -reporting_status: inprogress +reporting_status: complete published: true data_non_statistical: false # Nationale Metadaten -national_indicator_available: -comparison_sdg: -goal_meta_national_link: #https://sdg-indikatoren.de/public/MetaDe/6.6.1.pdf +national_indicators_available: "" +comparison_sdg: 'Die Zeitreihen "Permanente Wasserfläche der Seen und Flüsse", "Permanente Wasserfläche der Seen und Flüsse im Verhältnis zur gesamten Landfläche", "Feuchtgebiete" und "Feuchtgebiete im Verhältnis zur gesamten Landfläche" entsprechen den globalen Metadaten. Die Zeitreihe "Veränderung der permanenten Wasserfläche von Seen und Flüssen (verglichen mit 2015)" bietet zusätzliche Informationen.' +goal_meta_national_link: https://sdg-indikatoren.de/public/MetaDe/6.6.1.pdf goal_meta_national_link_text: Metadaten zu den dargestellten Zeitreihen # Globale Metadaten @@ -27,19 +27,51 @@ goal_meta_link_text: Metadaten zu diesem Indikator (Umweltprogramm der Vereinten goal_meta_2_link: https://unstats.un.org/sdgs/metadata/files/Metadata-06-06-01b.pdf goal_meta_2_link_text: Metadaten zu diesem Indikator (Internationales Ramsar-Sekretariat) -# Datenquellen -data_show_map: False -data_start_values: +# Datenquellen +source_active_1: true +source_organisation_1: Statistisches Bundesamt (Destatis) +source_organisation_logo_1: Logo destatis +source_url_1: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Umwelt/UGR/oekosystemgesamtrechnungen/Tabellen/b01-binnengewaesser.html +source_url_text_1: 'Flächenbilanz der Ökosysteme: Abteilung Binnengewässer' +source_url_1b: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Umwelt/UGR/oekosystemgesamtrechnungen/Tabellen/a04-offenland.html +source_url_text_1b: 'Flächenbilanz der Ökosysteme: Abteilung Semi-natürliches Offenland' + +source_active_2: false + +source_active_3: false + +source_active_4: false + +source_active_5: false + +source_active_6: false -copyright: '© Statistisches Bundesamt (Destatis), 2021' +data_show_map: False +data_start_values: + - field: timeseries + value: lakes and rivers permanent water area + - field: timeseries + value: lakes and rivers permanent water area as a proportion of total land area + - field: timeseries + value: wetlands area + - field: timeseries + value: wetlands area as a proportion of total land area +computation_units_plural: Prozent; km² +copyright: '© Statistisches Bundesamt (Destatis), 2022' data_footnote: # Grafik Eigenschaften -graph_title: +graph_title: Wasserbezogene Ökosysteme graph_type: line show_line: true -span_gaps: true +span_gaps: true + +precision: + - unit: "%" + decimals: 3 + - unit: km2 + decimals: 0 previous: 6-5-2 next: 6-a-1 @@ -47,5 +79,4 @@ next: 6-a-1 national_geographical_coverage: Deutschland --- -In Bearbeitung
-Eine oder mehrere mögliche Datenquelle/n wurde/n bereits identifiziert. Die entsprechenden Datenreihen werden derzeit zur Bereitstellung auf dieser Berichtsplattform aufbereitet. \ No newline at end of file + \ No newline at end of file diff --git a/meta/6-a-1.md b/meta/6-a-1.md index 5b00f419ace..dfba6ff4d56 100644 --- a/meta/6-a-1.md +++ b/meta/6-a-1.md @@ -21,7 +21,7 @@ indicator_name: Umfang der öffentlichen Entwicklungszusammenarbeit (ODA) für W target_name: Bis 2030 die internationale Zusammenarbeit und die Unterstützung der Entwicklungsländer beim Kapazitätsaufbau für Aktivitäten und Programme im Bereich der Wasser- und Sanitärversorgung ausbauen, einschließlich der Wassersammlung und -speicherung, Entsalzung, effizienten Wassernutzung, Abwasserbehandlung, Wiederaufbereitungs- und Wiederverwendungstechnologien target_id: '6.a' un_designated_tier: Tier I -un_custodian_agency: Weltgesundheitsorganisation (WHO)
Umweltprogramm der Vereinten Nationen (UNEP)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) +un_custodian_agency: Weltgesundheitsorganisation (WHO)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-06-0A-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/6-b-1.md b/meta/6-b-1.md index 490bb46e309..ae61e346b56 100644 --- a/meta/6-b-1.md +++ b/meta/6-b-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der lokalen Verwaltungseinheiten mit etablierten und oper target_name: Die Mitwirkung der Gemeinden an der Verbesserung des Wasser- und Abwassermanagements unterstützen und verstärken target_id: '6.b' un_designated_tier: Tier I -un_custodian_agency: Weltgesundheitsorganisation (WHO)
Umweltprogramm der Vereinten Nationen (UNEP)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) +un_custodian_agency: Weltgesundheitsorganisation (WHO)
Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-06-0B-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/7-2-1.md b/meta/7-2-1.md index 61631aa448d..0d65979f998 100644 --- a/meta/7-2-1.md +++ b/meta/7-2-1.md @@ -21,7 +21,7 @@ indicator_name: Anteil der erneuerbaren Energien am gesamten Endenergieverbrauch target_name: Bis 2030 den Anteil erneuerbarer Energie am globalen Energiemix deutlich erhöhen target_id: '7.2' un_designated_tier: Tier I -un_custodian_agency: Internationale Energieagentur (IEA)
Statistische Division der Vereinten Nationen (UNSD)
UN Energy, Internationale Organisation für erneuerbare Energien (IRENA) +un_custodian_agency: Statistische Division der Vereinten Nationen (UNSD)
Internationale Energieagentur (IEA)
Internationale Organisation für erneuerbare Energien (IRENA) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-07-02-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/7-3-1.md b/meta/7-3-1.md index 8d823e85da2..f6469d8b8f3 100644 --- a/meta/7-3-1.md +++ b/meta/7-3-1.md @@ -21,7 +21,7 @@ indicator_name: Energieintensität gemessen als Primärenergie zum BIP target_name: Bis 2030 die weltweite Steigerungsrate der Energieeffizienz verdoppeln target_id: '7.3' un_designated_tier: Tier I -un_custodian_agency: Internationale Energieagentur (IEA)
Statistische Division der Vereinten Nationen (UNSD) +un_custodian_agency: Statistische Division der Vereinten Nationen (UNSD)
Internationale Energieagentur (IEA) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-07-03-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/8-1-1.md b/meta/8-1-1.md index 7e18b610cda..765d47a32e8 100644 --- a/meta/8-1-1.md +++ b/meta/8-1-1.md @@ -46,7 +46,7 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 vorläufige Daten. +data_footnote: 2018 bis 2021 vorläufige Daten. # Grafik Eigenschaften graph_title: Jährliche Wachstumsrate des realen BIP pro Kopf diff --git a/meta/8-2-1.md b/meta/8-2-1.md index e89a786ddac..3d5a5396990 100644 --- a/meta/8-2-1.md +++ b/meta/8-2-1.md @@ -48,7 +48,7 @@ data_show_map: False data_start_values: computation_units: "Prozent" copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnote: 2017 bis 2020 vorläufige Daten. +data_footnote: 2018 bis 2021 vorläufige Daten. # Grafik Eigenschaften graph_title: Jährliche Wachstumsrate des realen BIP pro Beschäftigten diff --git a/meta/9-1-2.md b/meta/9-1-2.md index 6f80611f282..c7b74d2d59c 100644 --- a/meta/9-1-2.md +++ b/meta/9-1-2.md @@ -21,7 +21,7 @@ indicator_name: Passagier- und Frachtvolumen, nach Verkehrsträgern target_name: Eine hochwertige, verlässliche, nachhaltige und widerstandsfähige Infrastruktur aufbauen, einschließlich regionaler und grenzüberschreitender Infrastruktur, um die wirtschaftliche Entwicklung und das menschliche Wohlergehen zu unterstützen, und dabei den Schwerpunkt auf einen erschwinglichen und gleichberechtigten Zugang für alle legen target_id: '9.1' un_designated_tier: Tier I -un_custodian_agency: Internationale Zivilluftfahrtorganisation (ICAO)
International Transport Forum (ITF) +un_custodian_agency: Internationale Zivilluftfahrtorganisation (ICAO)
Weltverkehrsforum (ITF) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-09-01-02.pdf goal_meta_link_text: Metadaten zu diesem Indikator @@ -52,7 +52,7 @@ data_start_values: value: freight transports computation_units_plural: Millionen Personenkilometer; Millionen Tonnenkilometer copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnotes: 'Teilweise korrigierte Daten.
• Güterverkehr, Eisenbahnverkehr: Aufgrund methodischer Änderungen sind die Ergebnisse ab 2016 nur eingeschränkt mit den Vorjahren vergleichbar.' +data_footnotes: 'Teilweise korrigierte Daten.
• Güterverkehr, Eisenbahnverkehr: Aufgrund methodischer Änderungen sind die Ergebnisse ab 2016 nur eingeschränkt mit den Vorjahren vergleichbar.
• Personenverkehr: Die Daten basieren auf einer Sonderauswertung und sind nicht öffentlich zugänglich. 2020 teilweise vorläufige Daten.' # Grafik Eigenschaften graph_title: Passagier- und Frachtvolumen diff --git a/meta/9-2-1.md b/meta/9-2-1.md index e4a7df90107..f9e742d95b8 100644 --- a/meta/9-2-1.md +++ b/meta/9-2-1.md @@ -54,7 +54,7 @@ data_show_map: False data_start_values: computation_units_plural: EUR; Prozent copyright: '© Statistisches Bundesamt (Destatis), 2022' -data_footnotes: 2017 bis 2020 vorläufige Daten.
• Für 2010 wurde die Bevölkerung anhand des Zensus 2011 sowie der Wanderungs-, Geburten- und Sterbestatistiken zurückgerechnet. +data_footnotes: 2018 bis 2021 vorläufige Daten.
• Für 2010 wurde die Bevölkerung anhand des Zensus 2011 sowie der Wanderungs-, Geburten- und Sterbestatistiken zurückgerechnet. # Grafik Eigenschaften graph_titles: diff --git a/meta/9-4-1.md b/meta/9-4-1.md index fe2bade4c82..e2bf50246a7 100644 --- a/meta/9-4-1.md +++ b/meta/9-4-1.md @@ -21,7 +21,7 @@ indicator_name: CO₂-Emissionen pro Wertschöpfungseinheit target_name: Bis 2030 die Infrastruktur modernisieren und die Industrien nachrüsten, um sie nachhaltig zu machen, mit effizienterem Ressourceneinsatz und unter vermehrter Nutzung sauberer und umweltverträglicher Technologien und Industrieprozesse, wobei alle Länder Maßnahmen entsprechend ihren jeweiligen Kapazitäten ergreifen target_id: '9.4' un_designated_tier: Tier I -un_custodian_agency: Internationale Energieagentur (IEA)
Organisation der Vereinten Nationen für industrielle Entwicklung (UNIDO) +un_custodian_agency: Organisation der Vereinten Nationen für industrielle Entwicklung (UNIDO)
Internationale Energieagentur (IEA) goal_meta_link: https://unstats.un.org/sdgs/metadata/files/Metadata-09-04-01.pdf goal_meta_link_text: Metadaten zu diesem Indikator diff --git a/meta/en/1-2-2.md b/meta/en/1-2-2.md index 8b95217f7e3..70210262f07 100644 --- a/meta/en/1-2-2.md +++ b/meta/en/1-2-2.md @@ -17,8 +17,6 @@ goal_meta_3_link_text: # Datenquellen source_organisation_1: Federal Statistical Office (Destatis) source_organisation_logo_1: Logo destatis -source_url_1: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Einkommen-Konsum-Lebensbedingungen/Lebensbedingungen-Armutsgefaehrdung/_inhalt.html#sprg233586 -source_url_text_1: EU-SILC, Income and Living Conditions in Germany and the European Union (only available in German) - Fachserie 15, series 3 source_organisation_2: Statistical office of the European Union (Eurostat) source_organisation_logo_2: Logo eurostat diff --git a/meta/en/1-3-1.md b/meta/en/1-3-1.md index 4bd7f09872f..bd9b43d79f5 100644 --- a/meta/en/1-3-1.md +++ b/meta/en/1-3-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Proportion of population covered by social protection floors/ systems, by sex, distinguishing children, unemployed persons, older persons, persons with disabilities, pregnant women, newborns, work-injury victims and the poor and the vulnerable target_name: Implement nationally appropriate social protection systems and measures for all, including floors, and by 2030 achieve substantial coverage of the poor and the vulnerable -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: International Labour Organization (ILO) goal_meta_link_text: Metadata on this indicator (International Labour Organization) goal_meta_2_link_text: Metadata on this indicator (World Bank) diff --git a/meta/en/1-4-2.md b/meta/en/1-4-2.md index 01147007ae7..17debee218a 100644 --- a/meta/en/1-4-2.md +++ b/meta/en/1-4-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of total adult population with secure tenure rights to land, (a) with legally recognized documentation; and (b) who perceive their rights to land as secure, by sex and type of tenure target_name: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinance un_designated_tier: Tier II -un_custodian_agency: United Nations Human Settlements Programme (UN-Habitat)
World Bank (WB) +un_custodian_agency: World Bank (WB)
United Nations Human Settlements Programme (UN-Habitat) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/1-5-3.md b/meta/en/1-5-3.md index 16a939f7c37..099d4abe3e5 100644 --- a/meta/en/1-5-3.md +++ b/meta/en/1-5-3.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030 target_name: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disasters -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: United Nations Office for Disaster Risk Reduction (UNDRR) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/1-a-2.md b/meta/en/1-a-2.md index 707c5cab953..48307474c34 100644 --- a/meta/en/1-a-2.md +++ b/meta/en/1-a-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of total government spending on essential services (education, health and social protection) target_name: Ensure significant mobilization of resources from a variety of sources, including through enhanced development cooperation, in order to provide adequate and predictable means for developing countries, in particular least developed countries, to implement programmes and policies to end poverty in all its dimensions un_designated_tier: Tier II -un_custodian_agency: Under discussion among agencies (International Labour Organization (ILO), UNESCO Institute for Statistics (UNESCO-UIS), World Health Organization (WHO)) +un_custodian_agency: Under discussion among agencies (International Labour Organization (ILO)
UNESCO Institute for Statistics (UNESCO-UIS)
World Health Organization (WHO)) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/1-b-1.md b/meta/en/1-b-1.md index c2793cd94cf..549c13c134d 100644 --- a/meta/en/1-b-1.md +++ b/meta/en/1-b-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Pro-poor public social spending target_name: Create sound policy frameworks at the national, regional and international levels, based on pro-poor and gender-sensitive development strategies, to support accelerated investment in poverty eradication actions un_designated_tier: Tier II -un_custodian_agency: United Nations Children's Fund (UNICEF), Save the Children +un_custodian_agency: United Nations Children's Fund (UNICEF) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/10-4-1.md b/meta/en/10-4-1.md index d1aa4ee110f..db050f15744 100644 --- a/meta/en/10-4-1.md +++ b/meta/en/10-4-1.md @@ -24,7 +24,7 @@ source_url_text_1b: National accounts - Gross value added, gross domestic produc computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 preliminary data. +data_footnote: 2018 to 2021 preliminary data. # Grafik Eigenschaften graph_title: Labour share of GDP diff --git a/meta/en/10-6-1.md b/meta/en/10-6-1.md index 7729fae8faa..5a4f0d9f9cc 100644 --- a/meta/en/10-6-1.md +++ b/meta/en/10-6-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of members and voting rights of developing countries in international organizations target_name: Ensure enhanced representation and voice for developing countries in decision-making in global international economic and financial institutions in order to deliver more effective, credible, accountable and legitimate institutions un_designated_tier: Tier I -un_custodian_agency: United Nations Department of Economic and Social Affairs - Financing for Development Office (DESA-FFDO) +un_custodian_agency: United Nations Department of Economic and Social Affairs - Financing for Development Office (DESA/FFDO) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/10-7-2.md b/meta/en/10-7-2.md index 598575016b0..1b8c82942d7 100644 --- a/meta/en/10-7-2.md +++ b/meta/en/10-7-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Number of countries with migration policies that facilitate orderly, safe, regular and responsible migration and mobility of people target_name: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policies un_designated_tier: Tier II -un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA)
International Organization for Migration (IOM) +un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA) Population Division
International Organization for Migration (IOM) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/11-2-1.md b/meta/en/11-2-1.md index ce9cfc902c7..878d6f26630 100644 --- a/meta/en/11-2-1.md +++ b/meta/en/11-2-1.md @@ -30,7 +30,7 @@ source_url_text_3: German mobility panel (MOP) (only available in German) computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 'Population that has convenient access to public transport (within 500 meters): The data is based on a special evaluation and is not publicly available. Data is only available from 2016.' +data_footnotes: 'The data is based on a special evaluation and is not publicly available.
• Population that has convenient access to public transport (within 500 meters): Data is only available from 2016.' # Grafik Eigenschaften graph_title: Population that has convenient access to public transport diff --git a/meta/en/11-b-1.md b/meta/en/11-b-1.md index 60388d1752a..3d2606a821d 100644 --- a/meta/en/11-b-1.md +++ b/meta/en/11-b-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030 target_name: By 2020, substantially increase the number of cities and human settlements adopting and implementing integrated policies and plans towards inclusion, resource efficiency, mitigation and adaptation to climate change, resilience to disasters, and develop and implement, in line with the Sendai Framework for Disaster Risk Reduction 2015-2030, holistic disaster risk management at all levels -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: United Nations Office for Disaster Risk Reduction (UNDRR) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/13-1-2.md b/meta/en/13-1-2.md index 6170d979bc6..d52c3e7efeb 100644 --- a/meta/en/13-1-2.md +++ b/meta/en/13-1-2.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015-2030 target_name: Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters in all countries -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: United Nations Office for Disaster Risk Reduction (UNDRR) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/13-2-1.md b/meta/en/13-2-1.md index 9093f8f6efd..2fbda995653 100644 --- a/meta/en/13-2-1.md +++ b/meta/en/13-2-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Number of countries with nationally determined contributions, long-term strategies, national adaptation plans and adaptation communications, as reported to the secretariat of the United Nations Framework Convention on Climate Change target_name: Integrate climate change measures into national policies, strategies and planning un_designated_tier: Tier II -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: United Nations Framework Convention on Climate Change (UNFCCC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/13-2-2.md b/meta/en/13-2-2.md index 3cc3bafe389..9ea45062ca8 100644 --- a/meta/en/13-2-2.md +++ b/meta/en/13-2-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Total greenhouse gas emissions per year target_name: Integrate climate change measures into national policies, strategies and planning un_designated_tier: Tier I -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: United Nations Framework Convention on Climate Change (UNFCCC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/13-a-1.md b/meta/en/13-a-1.md index 90864ba5e98..2f7500edb2a 100644 --- a/meta/en/13-a-1.md +++ b/meta/en/13-a-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Amounts provided and mobilized in United States dollars per year in relation to the continued existing collective mobilization goal of the $100 billion commitment through to 2025 target_name: Implement the commitment undertaken by developed-country parties to the United Nations Framework Convention on Climate Change to a goal of mobilizing jointly $100 billion annually by 2020 from all sources to address the needs of developing countries in the context of meaningful mitigation actions and transparency on implementation and fully operationalize the Green Climate Fund through its capitalization as soon as possible un_designated_tier: Tier II -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: United Nations Framework Convention on Climate Change (UNFCCC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/13-b-1.md b/meta/en/13-b-1.md index ebd36e6c00e..bcc97ef7f67 100644 --- a/meta/en/13-b-1.md +++ b/meta/en/13-b-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Number of least developed countries and small island developing States with nationally determined contributions, long-term strategies, national adaptation plans and adaptation communications, as reported to the secretariat of the United Nations Framework Convention on Climate Change target_name: Promote mechanisms for raising capacity for effective climate change-related planning and management in least developed countries and small island developing States, including focusing on women, youth and local and marginalized communities un_designated_tier: Tier II -un_custodian_agency: UN Climate Change (UNFCCC Secretariat) +un_custodian_agency: United Nations Framework Convention on Climate Change (UNFCCC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/14-4-1.md b/meta/en/14-4-1.md index 72ee94cb668..c3a1958c97d 100644 --- a/meta/en/14-4-1.md +++ b/meta/en/14-4-1.md @@ -17,8 +17,8 @@ goal_meta_3_link_text: # Datenquellen source_organisation_1: European Commission source_organisation_logo_1: Logo europeancommission -source_url_1: https://stecf.jrc.ec.europa.eu/reports/cfp-monitoring/-/asset_publisher/oz5O/document/id/2667730?inheritRedirect=false&redirect=https%3A%2F%2Fstecf.jrc.ec.europa.eu%2Freports%2Fcfp-monitoring%3Fp_p_id%3D101_INSTANCE_oz5O%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-2%26p_p_col_pos%3D1%26p_p_col_count%3D2 -source_url_text_1: 'STECF report: Monitoring the performance of the Common Fisheries Policy (STECF-Adhoc-20-01)' +source_url_1: https://stecf.jrc.ec.europa.eu/reports/cfp-monitoring +source_url_text_1: 'STECF report: Monitoring the performance of the Common Fisheries Policy' computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' diff --git a/meta/en/14-5-1.md b/meta/en/14-5-1.md index adae320f17c..2617cb53ef0 100644 --- a/meta/en/14-5-1.md +++ b/meta/en/14-5-1.md @@ -11,7 +11,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Coverage of protected areas in relation to marine areas target_name: By 2020, conserve at least 10 per cent of coastal and marine areas, consistent with national and international law and based on the best available scientific information un_designated_tier: Tier I -un_custodian_agency: UN Environment World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP) /International Union for Conservation of Nature (IUCN) +un_custodian_agency: UN Environment Programme - World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP)
International Union for Conservation of Nature (IUCN) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/14-7-1.md b/meta/en/14-7-1.md index bfaa96a3ca4..6a9316c4081 100644 --- a/meta/en/14-7-1.md +++ b/meta/en/14-7-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Sustainable fisheries as a proportion of GDP in small island developing States, least developed countries and all countries target_name: By 2030, increase the economic benefits to small island developing States and least developed countries from the sustainable use of marine resources, including through sustainable management of fisheries, aquaculture and tourism un_designated_tier: Tier I -un_custodian_agency: Food and Agriculture Organization of the United Nations (FAO)
UN Environment World Conservation Monitoring Centre (UNEP-WCMC) +un_custodian_agency: Food and Agriculture Organization of the United Nations (FAO)
UN Environment Programme - World Conservation Monitoring Centre (UNEP-WCMC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/14-c-1.md b/meta/en/14-c-1.md index b8084d8abb6..7a92a73e1fd 100644 --- a/meta/en/14-c-1.md +++ b/meta/en/14-c-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Number of countries making progress in ratifying, accepting and implementing through legal, policy and institutional frameworks, ocean-related instruments that implement international law, as reflected in the United Nations Convention on the Law of the Sea, for the conservation and sustainable use of the oceans and their resources target_name: Enhance the conservation and sustainable use of oceans and their resources by implementing international law as reflected in the United Nations Convention on the Law of the Sea, which provides the legal framework for the conservation and sustainable use of oceans and their resources, as recalled in paragraph 158 of "The future we want" un_designated_tier: Tier II -un_custodian_agency: United Nations Division for Ocean Affairs and the Law of the Sea (UN-DOALOS), Office of Legal Affairs, United Nations Secretariat +un_custodian_agency: United Nations Division for Ocean Affairs and the Law of the Sea (UN-DOALOS) and other UN-Oceans members goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-1-2.md b/meta/en/15-1-2.md index c5f0283d728..901f169a9ae 100644 --- a/meta/en/15-1-2.md +++ b/meta/en/15-1-2.md @@ -11,7 +11,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type target_name: By 2020, ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains and drylands, in line with obligations under international agreements un_designated_tier: Tier I -un_custodian_agency: UN Environment World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP)
International Union for Conservation of Nature (IUCN) +un_custodian_agency: UN Environment Programme - World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP)
International Union for Conservation of Nature (IUCN) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-4-1.md b/meta/en/15-4-1.md index 2aa8a585013..d2d084e2f69 100644 --- a/meta/en/15-4-1.md +++ b/meta/en/15-4-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Coverage by protected areas of important sites for mountain biodiversity target_name: By 2030, ensure the conservation of mountain ecosystems, including their biodiversity, in order to enhance their capacity to provide benefits that are essential for sustainable development un_designated_tier: Tier I -un_custodian_agency: UN Environment World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP) /International Union for Conservation of Nature (IUCN) +un_custodian_agency: UN Environment Programme - World Conservation Monitoring Centre (UNEP-WCMC)
United Nations Environment Programme (UNEP)
International Union for Conservation of Nature (IUCN) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-6-1.md b/meta/en/15-6-1.md index d3e5eb26d3e..6c7a0d5616c 100644 --- a/meta/en/15-6-1.md +++ b/meta/en/15-6-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Number of countries that have adopted legislative, administrative and policy frameworks to ensure fair and equitable sharing of benefits target_name: Promote fair and equitable sharing of the benefits arising from the utilization of genetic resources and promote appropriate access to such resources, as internationally agreed un_designated_tier: Tier I -un_custodian_agency: Secretariat of the Convention on Biological Diversity (CBD) +un_custodian_agency: Secretariat of the Convention on Biological Diversity (CBD-Secretariat) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-9-1.md b/meta/en/15-9-1.md index 7e82dd244a6..0454a924d4d 100644 --- a/meta/en/15-9-1.md +++ b/meta/en/15-9-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: (a) Number of countries that have established national targets in accordance with or similar to Aichi Biodiversity Target 2 of the Strategic Plan for Biodiversity 2011–2020 in their national biodiversity strategy and action plans and the progress reported towards these targets; and (b) integration of biodiversity into national accounting and reporting systems, defined as implementation of the System of Environmental-Economic Accounting target_name: By 2020, integrate ecosystem and biodiversity values into national and local planning, development processes, poverty reduction strategies and accounts un_designated_tier: Tier I/II -un_custodian_agency: United Nations Environment Programme (UNEP)
Secretariat of the Convention on Biological Diversity (CBD) +un_custodian_agency: Secretariat of the Convention on Biological Diversity (CBD-Secretariat)
United Nations Environment Programme (UNEP) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-a-1.md b/meta/en/15-a-1.md index 289b4a6e685..91e55078104 100644 --- a/meta/en/15-a-1.md +++ b/meta/en/15-a-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: (a) Official development assistance on conservation and sustainable use of biodiversity; and (b) revenue generated and finance mobilized from biodiversity-relevant economic instruments target_name: Mobilize and significantly increase financial resources from all sources to conserve and sustainably use biodiversity and ecosystems un_designated_tier: Tier I -un_custodian_agency: OECD, UNEP, World Bank +un_custodian_agency: Organisation for Economic Co-operation and Development (OECD)
United Nations Environment Programme (UNEP)
World Bank (WB) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/15-b-1.md b/meta/en/15-b-1.md index 34db95adb88..49af3cf4683 100644 --- a/meta/en/15-b-1.md +++ b/meta/en/15-b-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: (a) Official development assistance on conservation and sustainable use of biodiversity; and (b) revenue generated and finance mobilized from biodiversity-relevant economic instruments target_name: Mobilize significant resources from all sources and at all levels to finance sustainable forest management and provide adequate incentives to developing countries to advance such management, including for conservation and reforestation un_designated_tier: Tier I -un_custodian_agency: OECD, UNEP, World Bank +un_custodian_agency: Organisation for Economic Co-operation and Development (OECD)
United Nations Environment Programme (UNEP)
World Bank (WB) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/16-3-3.md b/meta/en/16-3-3.md index a4b37544da1..0b3a3037b45 100644 --- a/meta/en/16-3-3.md +++ b/meta/en/16-3-3.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of the population who have experienced a dispute in the past two years and who accessed a formal or informal dispute resolution mechanism, by type of mechanism target_name: Promote the rule of law at the national and international levels and ensure equal access to justice for all un_designated_tier: Tier II -un_custodian_agency: United Nations Development Programme (UNDP)
United Nations on Drugs and Crime (UNODC)
Organization for Economic Cooperation and Development (OECD) +un_custodian_agency: United Nations Development Programme (UNDP)
Organization for Economic Cooperation and Development (OECD)
United Nations on Drugs and Crime (UNODC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/16-7-1.md b/meta/en/16-7-1.md index aef60606cbf..b881ee89c15 100644 --- a/meta/en/16-7-1.md +++ b/meta/en/16-7-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportions of positions in national and local institutions, including (a) the legislatures; (b) the public service; and (c) the judiciary, compared to national distributions, by sex, age, persons with disabilities and population groups target_name: Ensure responsive, inclusive, participatory and representative decision-making at all levels un_designated_tier: Tier I/II -un_custodian_agency: United Nations Development Programme (UNDP)
Inter-Parliamentary Union (IPU) +un_custodian_agency: Inter-Parliamentary Union (IPU)
United Nations Development Programme (UNDP) goal_meta_link_text: Metadata on this indicator (16.7.1 (a)) goal_meta_2_link_text: Metadata on this indicator (16.7.1 (b)) goal_meta_3_link_text: Metadata on this indicator (16.7.1 (c)) diff --git a/meta/en/16-8-1.md b/meta/en/16-8-1.md index f051df3c7a7..2eaf460ce8b 100644 --- a/meta/en/16-8-1.md +++ b/meta/en/16-8-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of members and voting rights of developing countries in international organizations target_name: Broaden and strengthen the participation of developing countries in the institutions of global governance un_designated_tier: Tier I -un_custodian_agency: United Nations Department of Economic and Social Affairs - Financing for Development Office (DESA-FFDO) +un_custodian_agency: United Nations Department of Economic and Social Affairs - Financing for Development Office (DESA/FFDO) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/16-9-1.md b/meta/en/16-9-1.md index ec0fde6c625..78ad0c70afd 100644 --- a/meta/en/16-9-1.md +++ b/meta/en/16-9-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of children under 5 years of age whose births have been registered with a civil authority, by age target_name: By 2030, provide legal identity for all, including birth registration un_designated_tier: Tier I -un_custodian_agency: United Nations Statistics Division (UNSD)
United Nations International Children's Emergency Fund (UNICEF) +un_custodian_agency: United Nations International Children's Emergency Fund (UNICEF)
United Nations Statistics Division (UNSD) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/17-1-1.md b/meta/en/17-1-1.md index 5bf4be14f80..7012c26b09c 100644 --- a/meta/en/17-1-1.md +++ b/meta/en/17-1-1.md @@ -24,7 +24,7 @@ source_url_text_1b: National accounts - Gross value added, gross domestic produc computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 preliminary data. +data_footnote: 2018 to 2021 preliminary data. # Grafik Eigenschaften graph_title: Proportion of total government revenue to GDP diff --git a/meta/en/17-1-2.md b/meta/en/17-1-2.md index 16b6922ef1e..b0990b71e0d 100644 --- a/meta/en/17-1-2.md +++ b/meta/en/17-1-2.md @@ -22,7 +22,7 @@ source_url_text_1: National accounts - Revenue, expenditure, net lending/net bor computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 preliminary data. +data_footnote: 2018 to 2021 preliminary data. # Grafik Eigenschaften graph_title: Proportion of domestic expenditures funded by national taxes and insurance contributions diff --git a/meta/en/17-13-1.md b/meta/en/17-13-1.md index 826b39950d4..33f5ef756a8 100644 --- a/meta/en/17-13-1.md +++ b/meta/en/17-13-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Macroeconomic Dashboard target_name: Enhance global macroeconomic stability, including through policy coordination and policy coherence -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: World Bank (WB) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: @@ -36,7 +36,7 @@ source_url_text_1h: National accounts - Population, employment – GENESIS onlin computation_units_plural: 1,000; Billion EUR; 2015 = 100; Million hours; Percentage copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 partly preliminary data. +data_footnote: 2018 to 2021 partly preliminary data. # Grafik Eigenschaften graph_title: Macroeconomic Dashboard diff --git a/meta/en/17-17-1.md b/meta/en/17-17-1.md index fbd017fe2a1..638dfdc3c0e 100644 --- a/meta/en/17-17-1.md +++ b/meta/en/17-17-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Amount in United States dollars committed to public-private partnerships for infrastructure target_name: Encourage and promote effective public, public-private and civil society partnerships, building on the experience and resourcing strategies of partnerships -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: World Bank (WB) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/2-1-2.md b/meta/en/2-1-2.md index 3cbc2844ec2..7acce9e57a8 100644 --- a/meta/en/2-1-2.md +++ b/meta/en/2-1-2.md @@ -22,9 +22,10 @@ source_organisation_2: Statisti source_organisation_logo_2: Logo eurostat source_url_2: https://ec.europa.eu/eurostat/databrowser/view/ilc_mdes03/default/table?lang=en source_url_text_2: 'EU-SILC survey: Inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day - Eurostat table [ILC_MDES03]' - -computation_units: "Percentage" + +computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' +data_footnote: 'The results from 2020 onwards are only comparable with previous years to a limited extent. For more information see "3. Data description" in the national metadata.' # Grafik Eigenschaften graph_title: Material deprivation for food insecurity @@ -32,4 +33,4 @@ graph_title: Material deprivation for food insecurity national_geographical_coverage: Germany --- - + \ No newline at end of file diff --git a/meta/en/3-5-2.md b/meta/en/3-5-2.md index 29813fca8d8..6736a6a57e8 100644 --- a/meta/en/3-5-2.md +++ b/meta/en/3-5-2.md @@ -24,7 +24,7 @@ source_url_text_1b: Sales of beer, breweries in operation, consumption of beer source_url_1c: https://www-genesis.destatis.de/genesis//online?operation=table&code=12411-0041&bypass=true&levelindex=1&levelid=1639396599054#abreadcrumb source_url_text_1c: Average population – GENESIS online 12411-0041 source_url_1d: https://www-genesis.destatis.de/genesis//online?operation=table&code=73423-0001&bypass=true&language=en -source_url_text_1d: Sales, consumption and producers of sparkling wine +source_url_text_1d: Sales, consumption and producers of sparkling wine – GENESIS online 73423-0001 source_organisation_2: Federal Ministry of Food and Agriculture source_organisation_logo_2: Logo bmel diff --git a/meta/en/3-7-1.md b/meta/en/3-7-1.md index 4b7c82fd389..cdacc6241f9 100644 --- a/meta/en/3-7-1.md +++ b/meta/en/3-7-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods target_name: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmes un_designated_tier: Tier I -un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA) +un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA) Population Division goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/3-7-2.md b/meta/en/3-7-2.md index fd475f1d19b..0143cebdbc6 100644 --- a/meta/en/3-7-2.md +++ b/meta/en/3-7-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Adolescent birth rate (aged 10-14 years; aged 15-19 years) per 1,000 women in that age group target_name: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmes un_designated_tier: Tier I -un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA) +un_custodian_agency: United Nations Department of Economic and Social Affairs (UN DESA) Population Division goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/3-8-1.md b/meta/en/3-8-1.md index 1f7af27bba2..39211b8b653 100644 --- a/meta/en/3-8-1.md +++ b/meta/en/3-8-1.md @@ -55,5 +55,4 @@ national_geographical_coverage: Germany
  • Health workforce: Health professionals (physicians, psychiatrists, and surgeons) per capita, relative to maximum thresholds for each cadre
  • Health security: International Health Regulations (IHR) core capacity index, which is the average percentage of attributes of 13 core capacities that have been attained
    • - - \ No newline at end of file + \ No newline at end of file diff --git a/meta/en/3-b-1.md b/meta/en/3-b-1.md index e6a898b0b78..708a4139029 100644 --- a/meta/en/3-b-1.md +++ b/meta/en/3-b-1.md @@ -15,12 +15,15 @@ goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: # Datenquellen -source_organisation_1: Robert Koch Institute -source_organisation_logo_1: Logo rki -source_url_1: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/32-33_20.pdf -source_url_text_1: Epidemiological Bulletin 32+33/2020 (only available in German) -source_url_1b: http://www.gbe-bund.de/gbe10/I?I=831:27110398E -source_url_text_1b: Vaccination coverage of children presenting their vaccination card at school entry health examinations – GBE +source_organisation_1: Federal Statistical Office (Destatis) +source_organisation_logo_1: Logo destatis +source_url_1: http://www.gbe-bund.de/gbe10/I?I=831:27110398E +source_url_text_1: Vaccination coverage of children presenting their vaccination card at school entry health examinations – GBE + +source_organisation_2: Robert Koch Institute +source_organisation_logo_2: Logo rki +source_url_2: https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2020/Ausgaben/32-33_20.pdf +source_url_text_2: Epidemiological Bulletin 32+33/2020 (only available in German) computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' diff --git a/meta/en/3-d-2.md b/meta/en/3-d-2.md index 8acd9015dc0..79481cc351a 100644 --- a/meta/en/3-d-2.md +++ b/meta/en/3-d-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Percentage of bloodstream infections due to selected antimicrobial-resistant organisms target_name: Strengthen the capacity of all countries, in particular developing countries, for early warning, risk reduction and management of national and global health risks un_designated_tier: Tier II -un_custodian_agency: +un_custodian_agency: World Health Organization (WHO) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/4-4-1.md b/meta/en/4-4-1.md index be8b820ba0e..1d4ac39e93e 100644 --- a/meta/en/4-4-1.md +++ b/meta/en/4-4-1.md @@ -2,7 +2,7 @@ language: en # Nationale Metadaten -national_indicator_available: Persons with computer-related activities in the previous 12 months +national_indicator_available: Share of population with computer-related activities comparison_sdg: The time series is compliant with the global metadata. goal_meta_national_link_text: Metadata on the presented time series @@ -15,20 +15,22 @@ goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: # Datenquellen -source_organisation_1: Statistical office of the European Union (Eurostat) -source_organisation_logo_1: Logo eurostat -source_url_1: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i/default/table?lang=en -source_url_text_1: "Individuals' level of computer skills - Eurostat table [isoc_sk_cskl_i]" +source_organisation_1: Federal Statistical Office (Destatis) +source_organisation_logo_1: Logo destatis -source_organisation_2: Federal Statistical Office (Destatis) -source_organisation_logo_2: Logo destatis +source_organisation_2: Statistical office of the European Union (Eurostat) +source_organisation_logo_2: Logo eurostat +source_url_2: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i/default/table?lang=en +source_url_text_2: "Individuals' level of computer skills - Eurostat table [isoc_sk_cskl_i]" +source_url_2b: https://ec.europa.eu/eurostat/databrowser/view/isoc_sk_cskl_i21/default/table?lang=en +source_url_text_2b: "Individuals' level of computer skills (2021 onward) - Eurostat table [isoc_sk_cskl_i21]" computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: +data_footnote: From 2021 onwards, the survey on the use of information and communication technologies in private households (ICT) is integrated into the microcensus as a sub-sample. Due to the associated methodological changes, a comparison of the results for the survey year 2021 with previous years is possible only to a very limited extent (time series break). # Grafik Eigenschaften -graph_title: Persons with computer-related activities in the last 12 months +graph_title: Share of population with computer-related activities national_geographical_coverage: Germany --- diff --git a/meta/en/5-1-1.md b/meta/en/5-1-1.md index 7ff9d30c68a..2b53ccb0e90 100644 --- a/meta/en/5-1-1.md +++ b/meta/en/5-1-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Whether or not legal frameworks are in place to promote, enforce and monitor equality and non‑discrimination on the basis of sex target_name: End all forms of discrimination against all women and girls everywhere un_designated_tier: Tier II -un_custodian_agency: United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
    World Bank (WB)
    OECD Development Centre +un_custodian_agency: United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
    World Bank (WB)
    Organisation for Economic Co-operation and Development (OECD) Development Centre goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/5-2-1.md b/meta/en/5-2-1.md index 08651b4550e..a0f216f6f37 100644 --- a/meta/en/5-2-1.md +++ b/meta/en/5-2-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by age target_name: Eliminate all forms of violence against all women and girls in the public and private spheres, including trafficking and sexual and other types of exploitation -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: United Nations Childrens Fund (UNICEF)
    The United Nations Entity for Gender Equality and the Empowerment of Women (UN Women)
    United Nations Population Fund (UNFPA)
    World Health Organization (WHO)
    United Nations Office on Drugs and Crime (UNODC) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/6-1-1.md b/meta/en/6-1-1.md index f6ae558cd0d..3177fc2776d 100644 --- a/meta/en/6-1-1.md +++ b/meta/en/6-1-1.md @@ -9,7 +9,7 @@ goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten indicator_name: Proportion of population using safely managed drinking water services target_name: By 2030, achieve universal and equitable access to safe and affordable drinking water for all -un_designated_tier: Tier II +un_designated_tier: Tier I un_custodian_agency: World Health Organisation (WHO)
    United Nations Children's Emergency Fund (UNICEF) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: diff --git a/meta/en/6-5-2.md b/meta/en/6-5-2.md index ea09bbb89a9..d3a84e888c0 100644 --- a/meta/en/6-5-2.md +++ b/meta/en/6-5-2.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of transboundary basin area with an operational arrangement for water cooperation target_name: By 2030, implement integrated water resources management at all levels, including through transboundary cooperation as appropriate un_designated_tier: Tier I -un_custodian_agency: Intergovernmental Hydrological Programme of UNESCO (IHP)
    United Nations Economic Commission for Europe (UNECE) +un_custodian_agency: Intergovernmental Hydrological Programme of UNESCO (UNESCO-IHP)
    United Nations Economic Commission for Europe (UNECE) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/6-6-1.md b/meta/en/6-6-1.md index 8c6caa18501..59a0d843e81 100644 --- a/meta/en/6-6-1.md +++ b/meta/en/6-6-1.md @@ -2,8 +2,8 @@ language: en # Nationale Metadaten -national_indicator_available: -comparison_sdg: +national_indicators_available: "" +comparison_sdg: 'The time series "Lakes and Rivers permanent water area", "Lakes and rivers permanent water area as a proportion of total land area", "Wetlands area" and "Wetlands area as a proportion of total land area" are compliant with the global metadate. The time series "Lakes and Rivers permanent water area change (compared to 2015)" provides additional information.' goal_meta_national_link_text: Metadata on the presented time series # Globale Metadaten @@ -14,16 +14,22 @@ un_custodian_agency: United Nations Environment Programme (UNEP)
    Secretariat goal_meta_link_text: Metadata on this indicator (United Nations Environment Programme) goal_meta_2_link_text: Metadata on this indicator (Secretariat of the Ramsar Convention on Wetlands) goal_meta_3_link_text: -# Datenquellen +# Datenquellen +source_organisation_1: Federal Statistical Office (Destatis) +source_organisation_logo_1: Logo destatis +source_url_1: https://www.destatis.de/EN/Themes/Society-Environment/Environment/Environmental-Economic-Accounting/ecosystem-account/Tables/b01-freshwater.html +source_url_text_1: 'Area balance sheet of ecosystems: Freshwater' +source_url_1b: https://www.destatis.de/EN/Themes/Society-Environment/Environment/Environmental-Economic-Accounting/ecosystem-account/Tables/a04-open-areas.html +source_url_text_1b: 'Area balance sheet of ecosystems: Semi-natural open areas' -copyright: '© Federal Statistical Office (Destatis), 2021' +computation_units_plural: Percentage; km² +copyright: '© Federal Statistical Office (Destatis), 2022' data_footnote: # Grafik Eigenschaften -graph_title: +graph_title: Water-related ecosystems national_geographical_coverage: Germany --- -In progress
    -A suitable data source has been identified. The corresponding time series are currently being processed to be included in this reporting platform. \ No newline at end of file + \ No newline at end of file diff --git a/meta/en/6-a-1.md b/meta/en/6-a-1.md index 8384e755b52..399fec527e6 100644 --- a/meta/en/6-a-1.md +++ b/meta/en/6-a-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Amount of water- and sanitation-related official development assistance that is part of a government-coordinated spending plan target_name: By 2030, expand international cooperation and capacity-building support to developing countries in water- and sanitation-related activities and programmes, including water harvesting, desalination, water efficiency, wastewater treatment, recycling and reuse technologies un_designated_tier: Tier I -un_custodian_agency: World Health Organization (WHO)
    United Nations Environment Programme (UNEP)
    Organisation for Economic Co-operation and Development (OECD) +un_custodian_agency: World Health Organization (WHO)
    Organisation for Economic Co-operation and Development (OECD) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/6-b-1.md b/meta/en/6-b-1.md index 8d75b96eaaa..c02c6ed572d 100644 --- a/meta/en/6-b-1.md +++ b/meta/en/6-b-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management target_name: Support and strengthen the participation of local communities in improving water and sanitation management un_designated_tier: Tier I -un_custodian_agency: World Health Organization (WHO)
    United Nations Environment Programme (UNEP)
    Organisation for Economic Co-operation and Development (OECD) +un_custodian_agency: World Health Organization (WHO)
    Organisation for Economic Co-operation and Development (OECD) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/7-2-1.md b/meta/en/7-2-1.md index 8177c188eac..25befea2680 100644 --- a/meta/en/7-2-1.md +++ b/meta/en/7-2-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Renewable energy share in the total final energy consumption target_name: By 2030, increase substantially the share of renewable energy in the global energy mix un_designated_tier: Tier I -un_custodian_agency: International Energy Agency (IEA)
    United Nations Statistics Division (UNSD)
    United Nations' inter-agency mechanism on energy (UN Energy)
    International Renewable Energy Agency (IRENA) +un_custodian_agency: United Nations Statistics Division (UNSD)
    International Energy Agency (IEA)
    International Renewable Energy Agency (IRENA) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/7-3-1.md b/meta/en/7-3-1.md index 859365f55c1..a127c26a997 100644 --- a/meta/en/7-3-1.md +++ b/meta/en/7-3-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: Energy intensity measured in terms of primary energy and GDP target_name: By 2030, double the global rate of improvement in energy efficiency un_designated_tier: Tier I -un_custodian_agency: International Energy Agency (IEA)
    United Nations Statistics Division (UNSD) +un_custodian_agency: United Nations Statistics Division (UNSD)
    International Energy Agency (IEA) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: diff --git a/meta/en/8-1-1.md b/meta/en/8-1-1.md index 11afdb24f2f..11f6a47622d 100644 --- a/meta/en/8-1-1.md +++ b/meta/en/8-1-1.md @@ -22,7 +22,7 @@ source_url_text_1: National accounts - Gross value added, gross domestic product computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 preliminary data. +data_footnote: 2018 to 2021 preliminary data. # Grafik Eigenschaften graph_title: Annual growth rate of real GDP per capita diff --git a/meta/en/8-2-1.md b/meta/en/8-2-1.md index 7fd418aedfb..bdfcfa91e20 100644 --- a/meta/en/8-2-1.md +++ b/meta/en/8-2-1.md @@ -24,7 +24,7 @@ source_url_text_1b: National accounts - Population, employment – GENESIS onlin computation_units: "Percentage" copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnote: 2017 to 2020 preliminary data. +data_footnote: 2018 to 2021 preliminary data. # Grafik Eigenschaften graph_title: Annual growth rate of real GDP per employed person diff --git a/meta/en/9-1-2.md b/meta/en/9-1-2.md index 1b4b9359a5b..f54ea80bccd 100644 --- a/meta/en/9-1-2.md +++ b/meta/en/9-1-2.md @@ -24,7 +24,7 @@ source_url_text_1b: 'Freight transport: transport volume and transport performan computation_units_plural: Million passenger-kilometre; Million tonne-kilometres copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnotes: 'Partly revised data.
    • Freight transport, rail transport: Aufgrund methodischer Änderungen sind die Ergebnisse ab 2016 nur eingeschränkt mit den Vorjahren vergleichbar.' +data_footnotes: 'Partly revised data.
    • Freight transport, rail transport: Aufgrund methodischer Änderungen sind die Ergebnisse ab 2016 nur eingeschränkt mit den Vorjahren vergleichbar.
    • Passenger transport: The data is based on a special evaluation and is not publicly available. 2020 partly preliminary data.' # Grafik Eigenschaften graph_title: Passenger and Freight Volume diff --git a/meta/en/9-2-1.md b/meta/en/9-2-1.md index d9a28f9e4ac..8ce4758a28c 100644 --- a/meta/en/9-2-1.md +++ b/meta/en/9-2-1.md @@ -30,7 +30,7 @@ source_url_text_1e: Population data based on Census 2011 – 1991 to 2011 (only computation_units_plural: EUR; Percentage copyright: '© Federal Statistical Office (Destatis), 2022' -data_footnotes: 2017 to 2020 preliminary data.
    • For 2010, the population was calculated backwards using the 2011 census and migration, birth and death statistics. +data_footnotes: 2018 to 2021 preliminary data.
    • For 2010, the population was calculated backwards using the 2011 census and migration, birth and death statistics. # Grafik Eigenschaften graph_titles: diff --git a/meta/en/9-4-1.md b/meta/en/9-4-1.md index 68ab842748a..9ddf96b12d6 100644 --- a/meta/en/9-4-1.md +++ b/meta/en/9-4-1.md @@ -10,7 +10,7 @@ goal_meta_national_link_text: Metadata on the presented time series indicator_name: CO₂ emission per unit of value added target_name: By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities un_designated_tier: Tier I -un_custodian_agency: International Energy Agency (IEA)
    United Nations Industrial Development Organization (UNIDO) +un_custodian_agency: United Nations Industrial Development Organization (UNIDO)
    International Energy Agency (IEA) goal_meta_link_text: Metadata on this indicator goal_meta_2_link_text: goal_meta_3_link_text: