Permanent and temporary employment

Published

1. Main facts and figures

  • 95% of all working age people (16 to 64 year olds) employed in 2022 were in permanent employment, and 5% were in temporary employment
  • 95% of white employees were in permanent employment – the highest percentage out of all ethnic groups
  • 12% of black employees were in temporary employment – the highest percentage out of all ethnic groups
  • in every ethnic group, a higher percentage of women than men were in temporary employment – the biggest difference was in the Asian ‘other’ and ‘other’ ethnic groups

2. Things you need to know

What the data measures

The data shows the number and percentage of working age people (16 to 64 year olds) in employment who were in permanent and temporary work in their main job. The data covers employees in England, Wales and Scotland.

A person of working age is employed if they:

  • 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

An employee is in temporary employment if they have a fixed-period contract, or are doing one of the following:

  • agency temping
  • casual work
  • seasonal work
  • other temporary work

In the Annual Population Survey, respondents decide if they are in permanent or temporary employment.

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

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. Estimates from before and after 2011 may not be consistent, and data for individual ethnic groups in 2011 is not available.

Data for 2004 and 2005 cannot be compared with later years. This is because the permanent or temporary employment status was not known for a large percentage of employees.

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 from 2004 onwards
  • 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 employees whose employment status was not known

3. By ethnicity

Percentage and number of 16 to 64 year old employees who were in permanent and temporary employment, by ethnicity
Permanent Temporary
Ethnicity Permanent % Permanent Number of people employed Temporary % Temporary Number of people employed
All 95 25,180,700 5 1,424,900
Asian 92 1,913,900 8 170,300
Indian 93 832,900 7 64,800
Pakistani, Bangladeshi 90 528,400 10 58,700
Asian other 92 552,600 8 46,800
Black 88 850,300 12 113,600
Mixed 91 398,500 9 37,800
White 95 21,535,800 5 1,048,000
White British 95 19,503,000 5 924,500
White other 94 2,032,700 6 123,500
Other 89 468,800 10 54,200

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

Summary of Permanent and temporary employment By ethnicity Summary

The data shows that:

  • 95% of all working age people (16 to 64 year olds) who were employed in 2022 were in permanent employment, and 5% were in temporary employment
  • 95% of white employees were in permanent employment – the highest percentage out of all ethnic groups
  • 88% of black employees were in permanent employment – the lowest percentage
  • 12% of black employees were in temporary employment – the highest percentage out of all ethnic groups
  • 5% of white employees were in temporary employment – the lowest percentage

4. By ethnicity over time (permanent employment only)

Percentage of employees in permanent work, 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 94 22,217,100 91 843,100 92 426,200 91 224,800 92 192,000 92 408,300 91 138,000 94 20,628,300 95 19,663,400 90 964,900 87 184,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2005 95 22,522,100 91 888,500 91 444,800 92 236,100 89 207,700 90 439,800 93 143,700 95 20,799,800 95 19,727,800 91 1,072,000 89 237,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2006 94 22,655,500 91 927,600 90 460,100 92 250,900 91 216,600 92 484,500 93 151,400 95 20,816,900 95 19,547,300 91 1,269,700 89 263,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2007 94 22,818,900 92 1,000,600 93 492,900 91 255,300 92 252,400 92 510,100 90 154,500 95 20,849,800 95 19,506,800 92 1,343,000 88 292,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2008 95 23,048,800 92 1,084,200 93 517,300 91 280,400 91 286,500 92 515,100 91 156,300 95 20,970,600 95 19,544,700 92 1,425,900 89 310,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2009 94 22,527,200 92 1,119,500 92 542,400 93 302,700 89 274,400 94 522,100 90 166,800 95 20,422,000 95 19,009,300 92 1,412,700 88 282,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2010 94 22,336,800 91 1,148,800 91 556,900 90 305,100 90 286,800 91 538,600 91 173,900 94 20,150,000 95 18,726,400 92 1,423,600 93 305,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2011 94 22,328,400 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 94 22,282,500 91 1,264,000 92 583,000 89 340,300 91 340,700 90 551,500 89 190,800 94 19,975,800 94 18,667,800 91 1,308,100 90 287,400 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2013 94 22,510,100 91 1,287,000 91 577,400 92 380,800 91 328,800 91 570,400 87 206,700 94 20,135,000 94 18,786,600 91 1,348,400 92 299,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2014 94 22,901,600 92 1,402,400 92 637,300 91 416,400 91 348,700 89 592,100 90 218,800 94 20,353,400 94 18,852,500 92 1,501,000 91 296,500 96 38,400
2015 94 23,488,700 92 1,429,200 93 641,300 91 416,600 92 371,400 89 672,900 90 234,600 94 20,794,800 95 19,148,100 91 1,646,700 91 330,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2016 94 23,624,500 93 1,513,800 94 662,400 92 454,400 92 397,000 90 704,300 91 251,000 94 20,795,300 95 19,009,100 94 2,032,700 90 342,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2017 94 24,081,400 92 1,542,400 93 677,400 92 455,700 92 409,300 88 653,900 91 282,400 95 21,225,500 95 19,326,000 91 1,786,200 91 361,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2018 95 24,335,700 93 1,628,000 94 702,200 93 522,300 91 403,500 89 740,400 92 295,500 95 21,292,600 95 19,393,800 92 1,899,600 91 361,400 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2019 95 24,605,300 94 1,653,800 95 728,000 93 506,700 93 419,100 91 801,500 92 290,100 95 21,478,100 95 19,491,200 92 1,898,800 91 372,200 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 95 24,778,300 93 1,671,300 94 770,900 93 458,400 93 442,100 91 780,800 91 349,900 95 21,580,600 95 19,598,200 93 1,986,800 92 377,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 94 24,742,800 93 1,741,200 92 776,000 91 490,100 95 475,200 89 774,800 91 356,500 95 21,471,200 95 19,500,200 94 1,982,400 91 381,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 95 25,180,700 92 1,913,900 93 832,900 90 528,400 92 552,600 88 850,300 91 398,500 95 21,535,800 95 19,503,000 94 1,971,100 89 468,800 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 (permanent employment only)’ (CSV) Source data for ‘By ethnicity over time (permanent employment only)’ (CSV)

Summary of Permanent and temporary employment By ethnicity over time (permanent employment only) Summary

The data shows that, between 2006 and 2022:

  • the percentage of all employees in permanent employment was consistently between 94% and 95%
  • in every ethnic group except for the black, mixed, and combined Pakistani and Bangladeshi ethnic groups, the percentage of employees in permanent employment was higher in 2022 than in 2006
  • the percentage of employees from the white ‘other’ and Indian ethnic groups in permanent employment went up by 3 percentage points, (91% to 94% and 90% to 93% respectively)– the biggest increase out of all ethnic groups
  • the percentage of black employees in permanent employment went down from 92% to 88% – the biggest decrease out of all ethnic groups *the percentage of employees in permanent employment from mixed and Pakistani and Bangladeshi ethnic groups went down by 2 percentage points between 2006 and 2022

5. By ethnicity over time (temporary employment only)

Percentage of 16 to 64 year old employees who were in temporary 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 6 1,368,900 9 78,100 8 37,600 9 23,100 8 17,400 9 37,800 9 13,400 6 1,211,200 5 1,105,000 10 106,200 13 27,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2005 6 1,302,500 9 90,800 9 43,300 8 21,300 11 26,200 10 46,800 7 10,400 5 1,124,000 5 1,016,100 9 107,900 11 29,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2006 6 1,346,800 9 93,100 10 49,000 9 23,300 9 20,800 8 44,800 7 11,400 5 1,163,500 5 1,035,100 9 128,400 11 33,400 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2007 6 1,359,000 8 84,600 7 37,400 9 24,300 8 22,900 8 46,000 10 16,400 5 1,173,300 5 1,050,000 8 123,200 11 37,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2008 5 1,268,300 8 94,800 7 39,200 9 27,900 9 27,800 8 43,900 9 15,300 5 1,076,900 5 959,300 8 117,600 11 36,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2009 6 1,313,500 8 102,300 8 45,600 7 23,700 11 32,900 6 35,900 10 18,400 5 1,119,700 5 999,200 8 120,500 11 36,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2010 6 1,401,600 9 116,900 9 53,700 10 32,500 10 30,700 9 51,100 9 17,100 6 1,190,500 5 1,065,500 8 125,000 7 24,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2011 6 1,425,100 not collected not collected not collected not collected not collected not collected not collected not collected withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 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 6 1,484,200 9 126,200 8 53,100 10 39,500 9 33,600 10 57,900 11 23,400 6 1,245,700 6 1,122,000 9 123,700 10 30,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2013 6 1,487,300 9 119,400 9 56,400 8 32,500 8 30,400 9 54,000 13 29,800 6 1,255,800 6 1,122,100 9 133,600 8 27,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2014 6 1,514,700 8 120,300 7 51,000 8 36,300 9 33,000 10 68,900 10 23,600 6 1,271,400 6 1,134,300 8 137,200 9 29,200 3 1,400
2015 6 1,496,400 8 121,800 7 47,500 9 41,100 8 33,200 11 83,900 10 26,700 6 1,230,800 5 1,074,200 9 156,600 9 32,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2016 6 1,487,400 7 116,100 6 43,800 8 37,900 8 34,300 10 80,500 9 25,400 6 1,225,600 5 1,058,200 6 123,500 10 37,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2017 6 1,472,100 8 125,400 7 50,800 8 39,900 8 34,700 12 88,900 10 29,500 5 1,192,700 5 1,033,400 9 167,400 9 34,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2018 5 1,399,700 7 121,100 6 42,700 8 42,200 8 36,200 11 90,600 8 26,400 5 1,126,900 5 969,500 8 159,300 8 33,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2019 5 1,321,400 6 109,400 5 39,100 7 38,800 7 31,600 9 76,900 8 25,000 5 1,073,700 5 934,700 8 157,400 9 35,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 5 1,367,400 7 118,800 6 52,700 7 32,900 7 33,200 9 77,600 9 33,700 5 1,105,900 5 971,600 7 138,900 7 30,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 6 1,438,900 7 139,300 8 63,200 9 49,200 5 27,000 11 96,600 9 35,300 5 1,132,300 5 1,003,700 6 134,300 8 34,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 5 1,424,900 8 170,300 7 64,800 10 58,700 8 46,800 12 113,600 9 37,800 5 1,048,000 5 924,500 6 128,500 10 54,200 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 (temporary employment only)’ (CSV) Source data for ‘By ethnicity over time (temporary employment only)’ (CSV)

Summary of Permanent and temporary employment By ethnicity over time (temporary employment only) Summary

The data shows that, between 2006 and 2022:

  • the percentage of employees in temporary employment was consistently between 5% and 6% in every year
  • the percentage of people in the white ‘other’ and Indian ethnic groups who were in temporary employment went down from 9% to 6% and 10% to 7% respectively
  • the percentage of black employees in temporary employment went up from 8% to 12% – the biggest increase out of all ethnic groups

6. By ethnicity and gender

Percentage and number of 16 to 64 year old employees who were in temporary and permanent employment, by ethnicity and gender
Men Women
Ethnicity Men % Permanent employees Men Number Permanent employees Men % Temporary employees Men Number Temporary employees Women % Permanent employees Women Number Permanent employees Women % Temporary employees Women Number Temporary employees
All 95 12,738,700 5 637,900 94 12,442,000 6 787,100
Asian 92 1,031,900 7 83,300 91 882,000 9 87,000
Indian 93 457,200 7 33,400 92 375,700 8 31,400
Pakistani, Bangladeshi 90 310,900 10 32,800 89 217,500 11 25,900
Asian other 94 263,800 6 17,100 90 288,800 9 29,700
Black 88 352,000 11 44,500 88 498,300 12 69,100
Mixed 91 177,800 8 15,300 90 220,700 9 22,600
White 96 10,911,100 4 469,400 95 10,624,600 5 578,600
White British 96 9,973,300 4 419,000 95 9,529,700 5 505,500
White other 95 937,800 5 50,400 94 1,094,900 6 73,100
Other 91 258,700 9 25,400 88 210,100 12 28,800

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

Summary of Permanent and temporary employment By ethnicity and gender Summary

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

  • 6% of women and 5% of men were in temporary employment in 2022
  • in every ethnic group, a higher percentage of women than men were in temporary employment – out of all ethnic groups, the largest difference was in the Asian ‘other’, and ‘other’ ethnic groups (both 3 percentage points)
  • in every ethnic group except the black group, a higher percentage of men than women were in permanent employment
  • in the Asian ‘other’ ethnic group, 94% of men and 90% of women were in permanent employment – the largest difference between men and women out of all ethnic groups

7. 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.

8. Download the data

Permanent and temporary employment 2021 - Spreadsheet (csv) 2 MB

This file contains the following variables: Measure, Employment_type (temporary, permanent), Ethnicity, Ethnicity_type, Time, Time_type, geography, geography_type, sex, value, value_type, confidence_interval, Numerator, Denominator, Sample_size