GitHub content for Gender pay gap

Dimensions

Dimension Levels
hours

3:

  • All
  • Full-Time
  • Part-Time
geography_name

83:

  • North East
  • Darlington UA
  • Hartlepool UA
  • Middlesbrough UA
  • Redcar and Cleveland UA
  • Stockton-on-Tees UA
  • County Durham UA
  • Northumberland UA
  • Tyne and Wear Met County
  • Gateshead
  • Newcastle upon Tyne
  • North Tyneside
  • South Tyneside
  • Sunderland
  • North West
  • Blackburn with Darwen UA
  • Blackpool UA
  • Halton UA
  • Warrington UA
  • Cheshire East UA
  • Cheshire West and Chester
  • Cumbria
  • Allerdale
  • Barrow-in-Furness
  • Carlisle
  • Copeland
  • Eden
  • South Lakeland
  • Greater Manchester Met County
  • Bolton
  • Bury
  • Manchester
  • Oldham
  • Rochdale
  • Salford
  • Stockport
  • Tameside
  • Trafford
  • Wigan
  • Lancashire
  • Burnley
  • Chorley
  • Fylde
  • Hyndburn
  • Lancaster
  • Pendle
  • Preston
  • Ribble Valley
  • Rossendale
  • South Ribble
  • West Lancashire
  • Wyre
  • Merseyside Met County
  • Knowsley
  • Liverpool
  • St. Helens
  • Sefton
  • Wirral
  • Yorkshire and The Humber
  • East Riding of Yorkshire UA
  • Kingston upon Hull UA
  • North East Lincolnshire UA
  • North Lincolnshire UA
  • York UA
  • North Yorkshire
  • Craven
  • Hambleton
  • Harrogate
  • Richmondshire
  • Ryedale
  • Scarborough
  • Selby
  • South Yorkshire Met County
  • Barnsley
  • Doncaster
  • Rotherham
  • Sheffield
  • West Yorkshire Met County
  • Bradford
  • Calderdale
  • Kirklees
  • Leeds
  • Wakefield
geography_code

83:

  • E12000001
  • E06000005
  • E06000001
  • E06000002
  • E06000003
  • E06000004
  • E06000047
  • E06000057
  • E11000007
  • E08000037
  • E08000021
  • E08000022
  • E08000023
  • E08000024
  • E12000002
  • E06000008
  • E06000009
  • E06000006
  • E06000007
  • E06000049
  • E06000050
  • E10000006
  • E07000026
  • E07000027
  • E07000028
  • E07000029
  • E07000030
  • E07000031
  • E11000001
  • E08000001
  • E08000002
  • E08000003
  • E08000004
  • E08000005
  • E08000006
  • E08000007
  • E08000008
  • E08000009
  • E08000010
  • E10000017
  • E07000117
  • E07000118
  • E07000119
  • E07000120
  • E07000121
  • E07000122
  • E07000123
  • E07000124
  • E07000125
  • E07000126
  • E07000127
  • E07000128
  • E11000002
  • E08000011
  • E08000012
  • E08000013
  • E08000014
  • E08000015
  • E12000003
  • E06000011
  • E06000010
  • E06000012
  • E06000013
  • E06000014
  • E10000023
  • E07000163
  • E07000164
  • E07000165
  • E07000166
  • E07000167
  • E07000168
  • E07000169
  • E11000003
  • E08000016
  • E08000017
  • E08000018
  • E08000019
  • E11000006
  • E08000032
  • E08000033
  • E08000034
  • E08000035
  • E08000036
date

1:

  • 2022

Facts

Fact Type Min Mean Max Missing
median_gender_pay_gap float64 -25.8 8.3 33.5 11