Civil Service Statistics data browser (2024)

Data preview: All civil servants / Region_london / Ethnicity / Region_ITL3 / Region_ITL1

Status Year Region_london Ethnicity Region_ITL3 Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2024 London Asian Barking & Dagenham and Havering London 185 165 34500 33980
In post 2024 London Asian Barnet London 440 415 43250 34460
In post 2024 London Asian Bexley and Greenwich London 130 120 34620 33980
In post 2024 London Asian Brent London 140 125 34750 33980
In post 2024 London Asian Bromley London 50 50 36490 33980
In post 2024 London Asian Camden and City of London London 280 270 33260 31200
In post 2024 London Asian Croydon London 1880 1775 39750 34270
In post 2024 London Asian Ealing London 165 150 34040 33980
In post 2024 London Asian Enfield London 60 55 33790 33980
In post 2024 London Asian Hackney and Newham London 1540 1440 41100 35060
In post 2024 London Asian Haringey and Islington London 205 190 34030 33980
In post 2024 London Asian Harrow and Hillingdon London 1250 1140 34590 32480
In post 2024 London Asian Hounslow and Richmond upon Thames London 675 620 34880 33980
In post 2024 London Asian Kensington & Chelsea and Hammersmith & Fulham London 120 115 36390 34460
In post 2024 London Asian Lambeth London 80 70 36300 33980
In post 2024 London Asian Lewisham and Southwark London 105 95 36400 33980
In post 2024 London Asian London - Unknown London 170 160 44490 44840
In post 2024 London Asian Merton, Kingston upon Thames and Sutton London 85 75 35250 33980
In post 2024 London Asian Redbridge and Waltham Forest London 560 495 31900 32540
In post 2024 London Asian Tower Hamlets London 1375 1325 47080 42720
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

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About: The Civil Service Statistics data browser is a pilot project by Cabinet Office to provide access to more detailed data on the Civil Service workforce from the Annual Civil Service Employment Survey. We welcome feedback or comments on this project, which can be addressed to civilservicestatistics@cabinetoffice.gov.uk

Notes: Summary figures are suppressed when information relates to less than 5 civil servants for FTE or Headcount, and less than 10 civil servants for median and mean salary (shown as [c]). Zero responses and salaries for less than 30 civil servants have been suppressed for GPDR special category data. FTE figures are not shown for entrants or leavers due to data quality concerns for these groups. Figures are rounded to the nearest 5, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2024-07-24

Data column Description
Status Employment status of the civil servants.
In post - includes staff that were in post on the reference date (31 March).
New entrant CS - includes new entrants to the Civil Service over the year (1 April to 31 March).
Leaver CS - includes leavers from the Civil Service over the year (1 April to 31 March). This includes employees who have an Unknown leaving cause.
Leaver Dept. - includes leavers from the department over the year (1 April to 31 March), who did not leave the Civil Service.
Four organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
Year Year of data collection (as at 31 March).
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
Region_ITL3 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
Headcount Total number of civil servants (rounded to nearest 5).
FTE Total full-time equivalent (FTE) employment numbers (rounded to nearest 5).
FTE figures are not shown for entrants or leavers due to data quality concerns for these groups.
Mean_salary Average salary (mean, rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).
Median_salary Median salary (rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).