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Data preview: All civil servants / Sex / Profession_of_post / Age

Status Year Sex Profession_of_post Age Headcount FTE Mean_salary Median_salary
In post 2021 Female Commercial 16-19 [c] [c] [c] [c]
In post 2021 Female Commercial 20-29 450 450 30800 29550
In post 2021 Female Commercial 30-39 710 660 37330 35430
In post 2021 Female Commercial 40-49 790 750 42240 39420
In post 2021 Female Commercial 50-59 730 700 40930 37920
In post 2021 Female Commercial 60-64 150 130 40990 37570
In post 2021 Female Commercial 65+ [c] [c] [c] [c]
In post 2021 Female Communications 16-19 [c] [c] [c] [c]
In post 2021 Female Communications 20-29 550 540 33710 32440
In post 2021 Female Communications 30-39 720 680 42870 40200
In post 2021 Female Communications 40-49 600 540 46210 42420
In post 2021 Female Communications 50-59 390 380 42710 38630
In post 2021 Female Communications 60-64 60 50 39910 36310
In post 2021 Female Communications 65+ [c] [c] [c] [c]
In post 2021 Female Corporate Finance 20-29 [c] [c] [c] [c]
In post 2021 Female Corporate Finance 30-39 [c] [c] [c] [c]
In post 2021 Female Corporate Finance 40-49 30 30 [c] [c]
In post 2021 Female Corporate Finance 50-59 [c] [c] [c] [c]
In post 2021 Female Corporate Finance 60-64 [c] [c] [c] [c]
In post 2021 Female Corporate Finance 65+ [c] [c] [c] [c]
In post 2021 Female Counter Fraud 20-29 50 40 [c] [c]
In post 2021 Female Counter Fraud 30-39 100 90 35730 33100
In post 2021 Female Counter Fraud 40-49 110 100 35530 34500
In post 2021 Female Counter Fraud 50-59 120 120 37090 34050
In post 2021 Female Counter Fraud 60-64 [c] [c] [c] [c]
In post 2021 Female Counter Fraud 65+ [c] [c] [c] [c]
In post 2021 Female Digital, Data and Technology 16-19 [c] [c] [c] [c]
In post 2021 Female Digital, Data and Technology 20-29 680 670 33550 31810
In post 2021 Female Digital, Data and Technology 30-39 1190 1140 40720 38450
In post 2021 Female Digital, Data and Technology 40-49 1270 1200 43380 39560
In post 2021 Female Digital, Data and Technology 50-59 1200 1140 42370 38630
In post 2021 Female Digital, Data and Technology 60-64 230 190 38420 34170
In post 2021 Female Digital, Data and Technology 65+ 50 50 35520 31670
In post 2021 Female Economics 16-19 [c] [c] [c] [c]
In post 2021 Female Economics 20-29 420 420 37570 33880
In post 2021 Female Economics 30-39 220 200 55930 57580
In post 2021 Female Economics 40-49 90 80 64320 60150
In post 2021 Female Economics 50-59 40 40 [c] [c]
In post 2021 Female Economics 60-64 [c] [c] [c] [c]
In post 2021 Female Economics 65+ [c] [c] [c] [c]
In post 2021 Female Economics Unknown [c] [c] [c] [c]
In post 2021 Female Finance 16-19 [c] [c] [c] [c]
In post 2021 Female Finance 20-29 610 600 32150 30080
In post 2021 Female Finance 30-39 1070 990 39900 36820
In post 2021 Female Finance 40-49 1370 1270 41390 37740
In post 2021 Female Finance 50-59 1640 1520 37720 33530
In post 2021 Female Finance 60-64 350 280 33480 28130
In post 2021 Female Finance 65+ 90 80 28970 26780
In post 2021 Female Finance Unknown [c] [c] [c] [c]
In post 2021 Female Human Resources 16-19 [c] [c] [c] [c]
In post 2021 Female Human Resources 20-29 780 770 31060 28970
In post 2021 Female Human Resources 30-39 1240 1150 37230 33220
In post 2021 Female Human Resources 40-49 1520 1410 41360 37610
In post 2021 Female Human Resources 50-59 1630 1540 40120 35950
In post 2021 Female Human Resources 60-64 300 250 36010 32630
In post 2021 Female Human Resources 65+ 70 50 33420 28240
In post 2021 Female Human Resources Unknown [c] [c] [c] [c]
In post 2021 Female Inspector of Education and Training 30-39 50 50 56760 51360
In post 2021 Female Inspector of Education and Training 40-49 190 180 62490 64500
In post 2021 Female Inspector of Education and Training 50-59 290 280 64840 64500
In post 2021 Female Inspector of Education and Training 60-64 60 60 64720 51360
In post 2021 Female Inspector of Education and Training 65+ [c] [c] [c] [c]
In post 2021 Female Intelligence Analysis 20-29 270 260 33470 30220
In post 2021 Female Intelligence Analysis 30-39 440 410 33900 30340
In post 2021 Female Intelligence Analysis 40-49 410 380 34850 30150
In post 2021 Female Intelligence Analysis 50-59 380 350 33010 29450
In post 2021 Female Intelligence Analysis 60-64 60 50 30970 29760
In post 2021 Female Intelligence Analysis 65+ [c] [c] [c] [c]
In post 2021 Female Intelligence Analysis Unknown [c] [c] [c] [c]
In post 2021 Female Internal Audit 20-29 30 30 [c] [c]
In post 2021 Female Internal Audit 30-39 80 80 40620 39200
In post 2021 Female Internal Audit 40-49 100 90 45590 42840
In post 2021 Female Internal Audit 50-59 160 150 46740 43120
In post 2021 Female Internal Audit 60-64 [c] [c] [c] [c]
In post 2021 Female Internal Audit 65+ [c] [c] [c] [c]
In post 2021 Female International Trade 16-19 [c] [c] [c] [c]
In post 2021 Female International Trade 20-29 230 220 37840 35430
In post 2021 Female International Trade 30-39 190 190 49680 51970
In post 2021 Female International Trade 40-49 120 110 50160 51970
In post 2021 Female International Trade 50-59 100 100 50450 46010
In post 2021 Female International Trade 60-64 [c] [c] [c] [c]
In post 2021 Female International Trade 65+ [c] [c] [c] [c]
In post 2021 Female Knowledge and Information Management 16-19 [c] [c] [c] [c]
In post 2021 Female Knowledge and Information Management 20-29 150 150 28230 26920
In post 2021 Female Knowledge and Information Management 30-39 250 230 35520 33300
In post 2021 Female Knowledge and Information Management 40-49 330 310 39140 37340
In post 2021 Female Knowledge and Information Management 50-59 420 390 36300 33300
In post 2021 Female Knowledge and Information Management 60-64 110 90 32820 27570
In post 2021 Female Knowledge and Information Management 65+ 40 30 [c] [c]
In post 2021 Female Knowledge and Information Management Unknown [c] [c] [c] [c]
In post 2021 Female Legal 20-29 730 730 34170 30850
In post 2021 Female Legal 30-39 1830 1720 47440 51120
In post 2021 Female Legal 40-49 2170 1920 51910 52490
In post 2021 Female Legal 50-59 1900 1720 51400 52490
In post 2021 Female Legal 60-64 330 270 51410 54080
In post 2021 Female Legal 65+ 70 50 48110 51950
In post 2021 Female Medicine 20-29 120 110 29110 27420
In post 2021 Female Medicine 30-39 430 380 41000 37410
In post 2021 Female Medicine 40-49 520 450 53590 44500
In post 2021 Female Medicine 50-59 500 450 61950 45750
Note: Data has been truncated to 100 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 30 civil servants for FTE or Headcount, and less than 50 civil servants for median and mean salary (shown as [c]). Additionally, zero responses have been suppressed for GPDR protected characteristics. Figures are rounded to the nearest 10, or £10 as appropriate.

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

Version: Generated on 2022-07-26, with GIT 03ee02c.

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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. The Defence Electronics and Components Agency does not record the date in which their employees first enter the Civil Service and so entrants data is not available. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at March 31st).
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Cabinet Office (excl agencies) reported profession information for only 60 out of a total 9,930 employees.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
Age Age in 10 year bands.
Headcount Total number of civil servants (rounded to nearest 10).
FTE Total full-time equivalent employment numbers (rounded to nearest 10).
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.
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.