Full time and part time employment

Published

1. Main facts and figures

  • in 2022, 76% of working age people (16 to 64 year olds) who were employed worked full time, and 24% worked part time
  • in every ethnic group, women were more likely to work part time than men
  • employees from the white ‘other’ and Indian ethnic groups were the most likely to work full time (both 82%)
  • employees in the combined Pakistani and Bangladeshi ethnic group were the most likely to work part time (30%)
  • the percentage of employees working part time went down or stayed the same for all ethnic groups except for the combined Pakistani and Bangladeshi (up from 27% to 30%) and black (up from 23% to 26%) ethnic groups
  • the biggest gap between men and women working part time was in the white British and combined Pakistani and Bangladeshi ethnic groups

2. Things you need to know

What the data measures

The data measures the number and percentage of employed 16 to 64 year olds who were in full time and part time employment in their main job. The data covers England, Wales and Scotland.

In the Annual Population Survey, respondents decide if they are in part time or full time employment.

A person of working age is counted as employed if they either:

  • are in paid work, as an employee or self-employed
  • have a job that they are temporarily away from, for example on holiday
  • are on a government-supported training or employment programme
  • are doing unpaid family work, for example working in a family business

Percentages are rounded to whole numbers. Population numbers are rounded to the nearest 100 people, but employment rates have been calculated using unrounded data.

Not included in the data

The data does not include estimates based on fewer than:

  • 30 survey respondents for data which includes all ethnic groups together
  • 100 survey respondents for data by ethnicity

This is to protect people’s confidentiality and because the numbers involved are too small to make reliable generalisations.

The ethnic categories used in this data

The data uses the ethnic categories from the 2011 Census.

Data is aggregated for the black, mixed and ‘other’ ethnic groups, which means estimates are shown for these groups as a whole.

Data is shown separately for the white British and ‘other’ white ethnic groups. Separate figures are also shown for 3 different Asian ethnic groups (Indian, Pakistani and Bangladeshi combined, and ‘other’ Asian).

People whose ethnicity is not known are included in the figures for ‘All’.

Methodology

Read the detailed methodology document for this data.

The Annual Population Survey updated its ethnicity questions in 2011. As a result, estimates from before and after 2011 may not be consistent, and data for individual ethnic groups in 2011 is not available.

There are separate employment figures in the ethnicity pay gap data published by the Office for National Statistics (ONS) in November 2023. The rates by ethnicity may be different to those shown on this page, because:

  • the ONS data excludes extreme values that differ from most other data points in a dataset (‘outliers’)
  • the datasets use different weighting rules

The figures on this page are based on survey data. Find out more about:

In the data file

See Download the data for:

  • estimates by region, and by region and sex for all ethnic groups
  • confidence intervals for each ethnic group – see how we use confidence intervals to demonstrate the reliability of survey estimates
  • sample sizes
  • estimates rounded to 1 decimal place
  • estimates for employed people who did not report whether they worked full time or part time

3. By ethnicity

Percentage and number of employed 16 to 64 year olds who were in full time and part time employment, by ethnicity
Full-time Part-time
Ethnicity Full-time % Full-time Number of people employed Part-time % Part-time Number of people employed
All 76 23,273,100 24 7,174,700
Asian 77 1,844,100 23 540,300
Indian 82 820,600 17 173,600
Pakistani, Bangladeshi 69 500,000 30 215,900
Asian other 77 523,500 22 150,900
Black 74 797,000 26 274,700
Mixed 74 358,400 25 122,300
White 76 19,789,200 24 6,086,500
White British 76 17,699,600 24 5,617,600
White other 82 2,089,600 18 469,000
Other 76 468,800 24 147,800
Unknown withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity’ (CSV) Source data for ‘By ethnicity’ (CSV)

Summary of Full time and part time employment By ethnicity Summary

The data shows that:

  • 76% of working age people (16 to 64 year olds) who were employed worked full time, and 24% worked part time
  • out of all ethnic groups, employees in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely out of all ethnic groups to work full time – employees in the combined Pakistani and Bangladeshi ethnic group were the least likely (69%)
  • people in the combined Pakistani and Bangladeshi ethnic group were the most likely to work part time (30%) – people from the Indian ethnic group were the least likely (17%)

4. By ethnicity over time (full time only)

Percentage and number of employed 16 to 64 year olds who were in full time employment, by ethnicity over time
All Asian Indian Pakistani, Bangladeshi Asian other Black Mixed White White British White other Other Unknown
Ethnicity All % All Number of people employed Asian % Asian Number of people employed Indian % Indian Number of people employed Pakistani, Bangladeshi % Pakistani, Bangladeshi Number of people employed Asian other % Asian other Number of people employed Black % Black Number of people employed Mixed % Mixed Number of people employed White % White Number of people employed White British % White British Number of people employed White other % White other Number of people employed Other % Other Number of people employed Unknown % Unknown Number of people employed
2004 75 20,391,100 76 833,400 78 416,500 72 228,500 76 188,400 76 375,400 74 123,900 75 18,846,500 75 17,837,900 79 1,008,600 76 193,300 80 18,500
2005 75 20,600,000 76 876,000 79 431,900 71 231,600 76 212,500 76 403,200 74 124,900 75 18,944,200 75 17,835,300 80 1,108,900 77 234,400 79 17,400
2006 76 20,836,300 77 933,500 80 468,500 72 250,400 76 214,600 76 441,400 73 131,800 76 19,050,700 75 17,732,500 81 1,318,200 76 265,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2007 76 21,019,700 76 987,400 80 482,900 73 266,900 73 237,600 75 460,500 72 138,300 75 19,123,800 75 17,727,400 81 1,396,400 77 297,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2008 75 21,082,400 76 1,055,200 80 504,400 70 278,000 74 272,800 76 472,200 75 144,700 75 19,092,200 75 17,627,400 82 1,464,800 78 308,400 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2009 75 20,498,300 73 1,058,300 79 520,200 66 279,300 71 258,900 75 456,300 74 155,100 75 18,535,600 74 17,103,400 79 1,432,200 75 276,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2010 74 20,344,900 72 1,078,800 79 542,900 63 273,100 71 262,800 72 472,100 73 159,600 74 18,337,900 74 16,887,100 79 1,450,800 71 277,200 75 19,300
2011 74 20,374,100 not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected
2012 74 20,475,700 72 1,202,200 77 566,600 66 333,300 71 302,300 72 495,200 71 174,200 74 18,311,700 74 16,903,200 80 1,408,500 72 279,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2013 74 20,778,900 74 1,236,800 78 572,800 67 355,500 74 308,500 71 499,800 69 185,600 74 18,557,100 74 17,133,200 79 1,423,900 73 289,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2014 74 21,202,800 73 1,326,500 79 620,600 68 392,600 70 313,300 69 520,900 71 204,300 75 18,819,900 74 17,229,700 80 1,590,200 72 295,700 73 35,500
2015 74 21,688,200 74 1,374,300 80 639,400 67 396,900 72 338,000 70 606,300 67 201,100 75 19,180,500 74 17,438,700 80 1,741,800 69 299,000 76 26,900
2016 75 22,015,000 75 1,486,000 81 668,200 71 449,000 72 368,700 70 624,700 69 222,600 75 19,333,300 74 17,396,600 81 1,936,700 71 331,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2017 75 22,381,300 74 1,493,500 79 661,200 68 445,100 74 387,100 71 609,200 69 249,800 75 19,657,500 74 17,633,300 80 2,024,200 75 359,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2018 75 22,581,000 75 1,563,800 82 697,400 69 493,200 73 373,200 72 674,300 73 267,000 75 19,707,200 75 17,675,600 82 2,031,600 72 349,200 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2019 75 22,885,200 75 1,610,600 81 728,500 69 494,200 73 387,900 72 722,100 74 271,300 75 19,893,300 75 17,779,900 82 2,113,400 73 376,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 76 22,978,000 76 1,601,100 81 759,200 69 418,900 76 423,100 73 704,700 71 315,800 76 19,980,300 76 17,924,200 82 2,056,100 76 357,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 77 23,090,600 78 1,681,600 82 775,700 69 444,100 80 461,800 75 730,000 77 342,600 77 19,944,500 76 17,894,200 82 2,050,200 76 376,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 76 23,273,100 77 1,844,100 82 820,600 69 500,000 77 523,500 74 797,000 74 358,400 76 19,789,200 76 17,699,600 82 2,089,600 76 468,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity over time (full time only)’ (CSV) Source data for ‘By ethnicity over time (full time only)’ (CSV)

Summary of Full time and part time employment By ethnicity over time (full time only) Summary

The data shows that, between 2004 and 2022:

  • the percentage of all employed 16 to 64 year olds who worked full time ranged from 75% to 76%
  • employees in the white ‘other’ and Indian ethnic groups were consistently the most likely to be in full time employment
  • the percentage of employees in the Indian ethnic group who worked full time went up from 78% to 82% – the biggest increase out of all ethnic groups
  • employees in the combined Pakistani and Bangladeshi ethnic group were consistently the least likely to be in full time employment
  • the percentage of people working full-time in the combined Pakistani and Bangladeshi ethnic group went down from 72% to 69%

5. By ethnicity over time (part time only)

Percentage and number of employed 16 to 64 year olds who were in part time employment, by ethnicity over time
All Asian Indian Pakistani, Bangladeshi Asian other Black Mixed White White British White other Other Unknown
Ethnicity All % All Number of people employed Asian % Asian Number of people employed Indian % Indian Number of people employed Pakistani, Bangladeshi % Pakistani, Bangladeshi Number of people employed Asian other % Asian other Number of people employed Black % Black Number of people employed Mixed % Mixed Number of people employed White % White Number of people employed White British % White British Number of people employed White other % White other Number of people employed Other % Other Number of people employed Unknown % Unknown Number of people employed
2004 25 6,618,000 24 257,400 21 112,800 27 85,600 24 59,000 23 114,200 26 43,100 25 6,138,900 25 5,874,100 21 264,800 24 60,500 17 4,000
2005 25 6,725,900 24 274,400 21 114,300 29 93,700 24 66,400 24 128,100 26 44,900 25 6,202,400 25 5,920,200 20 282,200 23 71,500 21 4,600
2006 24 6,722,400 23 282,000 20 117,200 28 96,200 24 68,600 24 140,300 27 49,200 24 6,165,700 25 5,848,300 19 317,500 23 81,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2007 24 6,783,700 24 304,000 20 119,900 27 99,100 26 85,000 24 149,500 28 53,400 24 6,187,400 25 5,872,500 18 314,900 22 85,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2008 24 6,814,300 24 337,200 20 126,200 29 116,600 26 94,400 24 147,500 25 47,900 24 6,188,700 25 5,859,300 18 329,400 22 87,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2009 25 6,940,800 27 383,900 21 138,900 33 140,800 29 104,300 25 153,600 26 55,400 25 6,252,800 26 5,877,900 21 374,900 25 91,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2010 26 7,067,600 27 409,700 21 144,000 37 159,800 29 105,800 27 178,200 26 57,300 26 6,307,400 26 5,936,600 20 370,800 28 108,900 24 6,200
2011 26 7,104,400 not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected not collected
2012 26 7,208,800 28 457,700 23 166,500 33 165,700 29 125,600 28 193,200 28 70,300 26 6,377,200 26 6,038,300 19 338,900 28 107,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2013 26 7,212,700 26 440,700 22 160,600 33 173,000 26 107,200 29 201,800 31 82,500 26 6,376,000 26 6,009,000 20 367,000 27 106,400 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2014 26 7,315,000 27 479,100 21 166,100 32 182,400 29 130,700 30 224,200 28 81,600 25 6,402,700 26 6,018,600 19 384,200 28 114,300 27 13,100
2015 26 7,448,900 26 481,600 20 158,300 32 189,700 28 133,700 29 249,300 32 95,600 25 6,481,300 26 6,056,700 20 424,500 31 132,600 24 8,500
2016 25 7,431,600 25 483,900 19 154,800 29 186,900 28 142,200 29 256,100 31 99,900 25 6,452,100 26 6,008,600 19 443,500 29 134,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2017 25 7,513,700 26 516,800 21 171,500 32 209,900 26 135,400 29 244,800 31 110,400 25 6,515,700 25 6,025,500 20 490,200 25 119,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2018 25 7,488,800 25 515,200 18 157,400 31 219,200 27 138,600 28 262,900 27 98,500 25 6,469,400 25 6,025,200 18 444,300 28 138,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2019 25 7,505,100 25 527,200 19 169,400 31 217,100 27 140,800 27 269,900 26 95,200 25 6,475,900 25 6,003,100 18 472,800 26 133,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 24 7,228,600 24 494,900 19 172,800 31 190,600 24 131,500 27 259,700 29 129,200 24 6,229,800 24 5,778,300 18 451,500 24 110,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 23 6,894,900 22 486,100 18 166,700 31 200,800 20 118,600 24 236,600 23 102,500 23 5,944,800 24 5,507,300 18 437,500 24 118,200 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 24 7,174,700 23 540,300 17 173,600 30 215,900 22 150,900 26 274,700 25 122,300 24 6,086,500 24 5,617,600 18 469,000 24 147,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity over time (part time only)’ (CSV) Source data for ‘By ethnicity over time (part time only)’ (CSV)

Summary of Full time and part time employment By ethnicity over time (part time only) Summary

The data shows that, between 2004 and 2022:

  • the percentage of employees working part-time went down or stayed the same for all ethnic groups except for the combined Pakistani and Bangladeshi (up from 27% to 30%) and black (up from 23% to 26%) ethnic groups
  • people in the combined Pakistani and Bangladeshi ethnic group were consistently among the most likely to be employed part time
  • the percentage of people from the Indian ethnic group working part time went down from 21% to 17% – it went down from 21% to 18% for the white ‘other’ ethnic group

6. By ethnicity and gender (men only)

Percentage and number of employed 16 to 64 year old men who were in full time and part time employment, by ethnicity
Full-time Part-time
Ethnicity Full-time % Full-time Number of people employed Part-time % Part-time Number of people employed
All 88 14,009,200 11 1,812,600
Asian 85 1,127,900 15 196,600
Indian 89 493,500 11 60,500
Pakistani, Bangladeshi 79 357,300 21 92,500
Asian other 86 277,100 14 43,600
Black 86 405,800 14 64,300
Mixed 83 183,100 16 34,800
White 89 11,989,500 11 1,461,800
White British 89 10,851,300 11 1,359,700
White other 92 1,138,200 8 102,100
Other 84 292,800 16 54,100
Unknown withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity and gender (men only)’ (CSV) Source data for ‘By ethnicity and gender (men only)’ (CSV)

Summary of Full time and part time employment By ethnicity and gender (men only) Summary

The data shows that, among working age men in employment:

  • men from the white ‘other’ ethnic group were the most likely to work full time (92%) – men from the combined Pakistani and Bangladeshi ethnic group were the least likely (79%)
  • men from the combined Pakistani and Bangladeshi ethnic group were the most likely to work part time (21%) – men from the white ‘other’ ethnic group were the least likely (8%)

7. By ethnicity and gender (women only)

Percentage and number of employed 16 to 64 year old women who were in full time and part-time employment, by ethnicity
Full-time Part-time
Ethnicity Full-time % Full-time Number of people employed Part-time % Part-time Number of people employed
All 63 9,263,800 37 5,362,100
Asian 67 716,200 32 343,700
Indian 74 327,100 26 113,000
Pakistani, Bangladeshi 53 142,600 46 123,400
Asian other 70 246,500 30 107,300
Black 65 391,200 35 210,400
Mixed 67 175,400 33 87,500
White 63 7,799,700 37 4,624,800
White British 62 6,848,300 38 4,257,800
White other 72 951,300 28 366,900
Other 65 176,000 35 93,700
Unknown withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity and gender (women only)’ (CSV) Source data for ‘By ethnicity and gender (women only)’ (CSV)

Summary of Full time and part time employment By ethnicity and gender (women only) Summary

The data shows that, among working age women in employment:

  • women from the Indian (74%) and white ‘other’ (72%) ethnic groups were the most likely to work full time out of all ethnic groups
  • women from the combined Pakistani and Bangladeshi ethnic group were the least likely to work full time (53%) and most likely to work part time (46%)
  • women from the Indian (26%) and white ‘other’ ethnic groups (28%) were the least likely to work part time

8. Data sources

Source

Type of data

Survey data

Type of statistic

National Statistics

Publisher

Office for National Statistics

Note on corrections or updates

Higher-level figures may differ from those published by the Department for Work and Pensions and the Office for National Statistics that use the Labour Force Survey.

Publication frequency

Yearly

Purpose of data source

The Annual Population Survey (APS) is the largest ongoing household survey in the UK and covers a range of topics, including:

  • personal characteristics
  • labour market status
  • work characteristics
  • education
  • health

The purpose of the APS is to provide information on important social and socio-economic variables at local levels, such as labour market estimates.

The published statistics also allow the government to monitor estimates on a range of issues between censuses.

9. Download the data

Employment by Full Time and Part Time (2022 data) - Spreadsheet (csv) 2 MB

This file contains the following: Measure, Employment_type (full time, part time, unknown), Ethnicity, Ethnicity_type, Time, Time_Type, Geography, Geography_type, Sex, Value, Value_type, Confidence_interval, Numerator, Denominator, Sample_size