Full time and part time employment
Published
- 1. Navigate toMain facts and figures section
- 2. Navigate toThings you need to know section
- 3. Navigate to By ethnicity section
- 4. Navigate to By ethnicity over time (full time only) section
- 5. Navigate to By ethnicity over time (part time only) section
- 6. Navigate to By ethnicity and gender (men only) section
- 7. Navigate to By ethnicity and gender (women only) section
- 8. Navigate toData sources section
- 9. Navigate toDownload the data section
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:
- interpreting survey data, including how reliability is affected by the number of people surveyed
- how weighting is used to make survey data more representative of the whole group being studied
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
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)
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)
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)
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)
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
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