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| National metadata, | ||
| Indicator available,Weekly earnings of top and bottom 10th percentiles | ||
| Indicator description,This dataset shows the average weekly gross earnings of those in the top and bottom 10 percent | ||
| National comparability,Comparable to other Local authorities | ||
| Unit of measurement,£ GBP | ||
| Definitions,This dataset shows the average weekly gross earnings of those in the top and bottom 10 percent of income as well as the diference. This dataset is disaggregated by gender | ||
| Calculations,No additional calculations were performed and th dataset is presented as found | ||
| Other information, | ||
| Settings, | ||
| Reporting status,complete | ||
| Non-statistical indicator,N | ||
| Graph type,line | ||
| Graph title,Weekly earnings of top and bottom 10th percentiles | ||
| Use geocodes for mapping,FALSE | ||
| Indicator content, | ||
| Sources, | ||
| Source 1 organisation,ONS Nomis | ||
| Source 1 periodicity,Annual | ||
| Source 1 earliest available data,2010 | ||
| Source 1 geographical coverage,Bristol | ||
| Source 1 link to data source,http://www.nomisweb.co.uk/query/construct/components/stdComponent.asp?menuopt=1&subcomp= | ||
| Source 1 link to data source text,ONS Nomis | ||
| Source 1 release date,2019 | ||
| Source 1 next release,TBA | ||
| Source 1 statistical classification,Official Statistic | ||
| Source 1 contact details, | ||
| Source 1 other information, | ||
| Source 2 organisation, | ||
| Source 2 periodicity, | ||
| Source 2 earliest available data, | ||
| Source 2 geographical coverage, | ||
| Source 2 link to data source, | ||
| Source 2 link to data source text, | ||
| Source 2 release date, | ||
| Source 2 next release, | ||
| Source 2 statistical classification, | ||
| Source 2 contact details, | ||
| Source 2 other information, | ||
| Source 3 organisation, | ||
| Source 3 periodicity, | ||
| Source 3 earliest available data, | ||
| Source 3 geographical coverage, | ||
| Source 3 link to data source, | ||
| Source 3 link to data source text, | ||
| Source 3 release date, | ||
| Source 3 next release, | ||
| Source 3 statistical classification, | ||
| Source 3 contact details, | ||
| Source 3 other information, | ||
| Source 4 organisation, | ||
| Source 4 periodicity, | ||
| Source 4 earliest available data, | ||
| Source 4 geographical coverage, | ||
| Source 4 link to data source, | ||
| Source 4 link to data source text, | ||
| Source 4 release date, | ||
| Source 4 next release, | ||
| Source 4 statistical classification, | ||
| Source 4 contact details, | ||
| Source 4 other information, |
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| Year,Group,Value | ||
| 2015,A,1 | ||
| 2015,B,3 | ||
| 2015,,2 | ||
| 2016,A,1 | ||
| 2016,B,3 | ||
| 2016,,2 | ||
| Year,Sex,Series,Value | ||
| 2010,,Bottom 10 percent,289.1 | ||
| 2011,,Bottom 10 percent,272.1 | ||
| 2012,,Bottom 10 percent,282.7 | ||
| 2013,,Bottom 10 percent,287.5 | ||
| 2014,,Bottom 10 percent,296.9 | ||
| 2015,,Bottom 10 percent,299.7 | ||
| 2016,,Bottom 10 percent,311.9 | ||
| 2017,,Bottom 10 percent,330 | ||
| 2018,,Bottom 10 percent,341.8 | ||
| 2010,,Top 10 percent,900.6 | ||
| 2011,,Top 10 percent,934.1 | ||
| 2012,,Top 10 percent,886.9 | ||
| 2013,,Top 10 percent,912 | ||
| 2014,,Top 10 percent,907.2 | ||
| 2015,,Top 10 percent,928.4 | ||
| 2016,,Top 10 percent,957.3 | ||
| 2017,,Top 10 percent,998.8 | ||
| 2018,,Top 10 percent,1044.80 | ||
| 2010,,Gap between top and bottom 10 percent,611.5 | ||
| 2011,,Gap between top and bottom 10 percent,662 | ||
| 2012,,Gap between top and bottom 10 percent,604.2 | ||
| 2013,,Gap between top and bottom 10 percent,624.5 | ||
| 2014,,Gap between top and bottom 10 percent,610.3 | ||
| 2015,,Gap between top and bottom 10 percent,628.7 | ||
| 2016,,Gap between top and bottom 10 percent,645.4 | ||
| 2017,,Gap between top and bottom 10 percent,668.8 | ||
| 2018,,Gap between top and bottom 10 percent,703 | ||
| 2010,Male,Bottom 10 percent,171.2 | ||
| 2011,Male,Bottom 10 percent,172.4 | ||
| 2012,Male,Bottom 10 percent,166.2 | ||
| 2013,Male,Bottom 10 percent,163.7 | ||
| 2014,Male,Bottom 10 percent,151 | ||
| 2015,Male,Bottom 10 percent,178.6 | ||
| 2016,Male,Bottom 10 percent,222.5 | ||
| 2017,Male,Bottom 10 percent,228.5 | ||
| 2018,Male,Bottom 10 percent,234.2 | ||
| 2010,Male,Top 10 percent,900.7 | ||
| 2011,Male,Top 10 percent,946.6 | ||
| 2012,Male,Top 10 percent, | ||
| 2013,Male,Top 10 percent, | ||
| 2014,Male,Top 10 percent, | ||
| 2015,Male,Top 10 percent,919.9 | ||
| 2016,Male,Top 10 percent,958.4 | ||
| 2017,Male,Top 10 percent, | ||
| 2018,Male,Top 10 percent,1068.80 | ||
| 2010,Male,Gap between top and bottom 10 percent,729.5 | ||
| 2011,Male,Gap between top and bottom 10 percent,774.2 | ||
| 2012,Male,Gap between top and bottom 10 percent, | ||
| 2013,Male,Gap between top and bottom 10 percent, | ||
| 2014,Male,Gap between top and bottom 10 percent, | ||
| 2015,Male,Gap between top and bottom 10 percent,741.3 | ||
| 2016,Male,Gap between top and bottom 10 percent,735.9 | ||
| 2017,Male,Gap between top and bottom 10 percent, | ||
| 2018,Male,Gap between top and bottom 10 percent,834.6 | ||
| 2010,Female,Bottom 10 percent,96 | ||
| 2011,Female,Bottom 10 percent,88.7 | ||
| 2012,Female,Bottom 10 percent,106.7 | ||
| 2013,Female,Bottom 10 percent,101 | ||
| 2014,Female,Bottom 10 percent,96.3 | ||
| 2015,Female,Bottom 10 percent,118.5 | ||
| 2016,Female,Bottom 10 percent,117.8 | ||
| 2017,Female,Bottom 10 percent,117.1 | ||
| 2018,Female,Bottom 10 percent,118 | ||
| 2010,Female,Top 10 percent,695 | ||
| 2011,Female,Top 10 percent,662 | ||
| 2012,Female,Top 10 percent,696.6 | ||
| 2013,Female,Top 10 percent,732.5 | ||
| 2014,Female,Top 10 percent,750.2 | ||
| 2015,Female,Top 10 percent,755.3 | ||
| 2016,Female,Top 10 percent, | ||
| 2017,Female,Top 10 percent,754.4 | ||
| 2018,Female,Top 10 percent,773 | ||
| 2010,Female,Gap between top and bottom 10 percent,599 | ||
| 2011,Female,Gap between top and bottom 10 percent,573.3 | ||
| 2012,Female,Gap between top and bottom 10 percent,589.9 | ||
| 2013,Female,Gap between top and bottom 10 percent,631.5 | ||
| 2014,Female,Gap between top and bottom 10 percent,653.9 | ||
| 2015,Female,Gap between top and bottom 10 percent,636.8 | ||
| 2016,Female,Gap between top and bottom 10 percent, | ||
| 2017,Female,Gap between top and bottom 10 percent,637.3 | ||
| 2018,Female,Gap between top and bottom 10 percent,655 |
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| git+git://github.com/dougmet/yamlmd | ||
| git+git://github.com/open-sdg/sdg-build@1.5.0 | ||
| git+https://github.com/dougmet/yamlmd | ||
| git+https://github.com/open-sdg/sdg-build@1.5.0 |