Employment

Published

Last updated 8 December 2023 - see all updates

1. Main facts and figures

  • 76% of working age people (16 to 64 year olds) in England, Scotland and Wales were employed in 2022

  • 77% of white people were employed, compared with 69% of people from all other ethnic groups combined

  • 82% of people from the ‘white other’ ethnic group were employed – the highest percentage out of all ethnic groups

  • 61% of people from the combined Pakistani and Bangladeshi ethnic group were employed – the lowest percentage out of all ethnic groups

  • from 2004 to 2022, the biggest increases in employment rates were in the combined Pakistani and Bangladeshi ethnic group (from 44% to 61%), and the ‘other’ ethnic group (from 55% to 68%)

  • the difference in the employment rate between white people and people from ethnic minorities (excluding white minorities) was biggest among 16 to 24 year olds – 58% of white people and 39% for people from ethnic minorities were employed

  • the highest overall employment rates were in the South East, South West, and the East of England (all 78%) – the lowest were in the North East (71%)

Further research:

Persistent ethnic inequalities in the labour market can play a major part in the high poverty rates among minority ethnic minority groups. However, the gap in employment between white people and the Indian, Pakistani, and Bangladeshi ethnic groups has gone down over the past 20 years. The report of the Commission on Race and Ethnic Disparities shows that the employment rate for the Bangladeshi ethnic group went up by 20.6 percentage points from 2001 to 2019, while the rate for the white people went up by 4 percentage points in the same period. The report cites cultural religious reasons for the differences between men and women in employment rates in the combined Pakistani and Bangladeshi ethnic group – 75% for men compared, with 46% for women in 2022. In addition, the differences between the 16 to 24 and 24 to 49 age groups in the Indian ethnic group are likely to be because young Indian people are the most likely to go on to further education.

The report recommends that employers move away from funding unconscious bias training, ensure wider exposure of ethnic minority individuals to their peers, manager and other decision makers, and provide training and routine skill support for all employees in their professional and personal lives.

The Commission also calls on the government to work with a panel of academics and practitioners to develop resources and evidence-based approaches of what works to advance fairness in the workplace.

2. Things you need to know

What the data measures

The data measures the number and percentage of people in England, Scotland and Wales who are employed.

Percentages are worked out using the total working age population (people aged 16 to 64 years).

Someone is classed as 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

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 covering all ethnic groups together
  • 100 survey respondents for data broken down 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 the 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 white British people and all other white people (the ‘white other’ ethnic group). 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 as separate rows in the data.

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.

Local authority names and boundaries change over time. The data for local authorities does not use the most recent local authority boundaries for England, Scotland and Wales.

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, age group and sex over time for detailed ethnic groups
  • estimates by local authorities over time for detailed ethnic groups
  • data for each 3-month period for the white group and other ethnic groups combined since 2001
  • confidence intervals for each ethnic group – read how we use confidence intervals to demonstrate the reliability of survey estimates
  • sample sizes
  • estimates rounded to 1 decimal place

3. By ethnicity

Percentage and number of 16 to 64 year olds who were employed, by ethnicity
Ethnicity % Number of people employed
All 76 30,498,400
Asian 70 2,394,200
Indian 77 998,100
Pakistani, Bangladeshi 61 719,900
Asian other 71 676,200
Black 69 1,073,600
Mixed 69 484,700
White 77 25,908,400
White British 76 23,345,900
White other 82 2,562,500
Other 68 617,500

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

Summary of Employment By ethnicity Summary

The data shows that:

  • 76% of people aged 16 to 64 in England, Scotland and Wales were employed in 2022

  • 82% of people from the ‘white other’ ethnic group were employed – the highest percentage out of all ethnic groups

  • 61% of people from the combined Pakistani and Bangladeshi ethnic group were employed – the lowest percentage

4. By ethnicity over time (white and other ethnic groups)

Percentage and number of 16 to 64 year olds who were employed, by ethnicity (white and other ethnic groups) over time
All White Other ethnic groups Unknown
Year All % All Number of people employed White % White Number of people employed Other ethnic groups % Other ethnic groups Number of people employed Unknown % Unknown Number of people employed
2004 73 27,057,900 74 25,022,700 58 2,011,900 66 23,300
2005 73 27,365,300 74 25,180,000 59 2,163,400 65 21,900
2006 73 27,592,800 74 25,245,300 59 2,329,900 61 17,600
2007 73 27,850,200 74 25,347,400 60 2,486,900 56 15,900
2008 72 27,957,200 74 25,329,800 60 2,611,100 62 16,300
2009 71 27,508,700 72 24,846,400 59 2,640,900 62 21,500
2010 70 27,484,600 72 24,703,600 59 2,755,200 66 25,800
2011 70 27,546,800 not collected not collected not collected not collected not collected not collected
2012 71 27,759,100 72 24,749,700 59 2,993,800 53 15,700
2013 71 28,069,200 73 24,996,900 59 3,055,700 58 16,600
2014 72 28,585,700 74 25,277,300 61 3,259,400 67 49,000
2015 74 29,208,300 75 25,718,900 63 3,453,800 63 35,600
2016 74 29,506,000 76 25,830,800 64 3,651,900 64 23,400
2017 75 29,946,000 77 26,214,500 65 3,712,500 57 19,000
2018 75 30,116,600 77 26,212,300 65 3,879,600 66 24,800
2019 76 30,427,000 78 26,395,600 66 4,015,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 75 30,247,200 77 26,241,100 67 3,982,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 75 30,024,000 76 25,920,200 67 4,081,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 76 30,498,400 77 25,908,400 69 4,570,100 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 (white and other ethnic groups)’ (CSV) Source data for ‘By ethnicity over time (white and other ethnic groups)’ (CSV)

Summary of Employment By ethnicity over time (white and other ethnic groups) Summary

The data shows that:

  • 77% of white people were employed in 2022, compared with 69% of people from all other ethnic groups combined

  • the difference in the employment rates for white people and people from all other ethnic groups combined went down from 16 percentage points in 2004 to 8 percentage points in 2022

  • the second quarter of 2022 (April to June) had the highest employment rate (68%) for ethnic minorities (excluding white minorities) – download the data

5. By ethnicity over time

Percentage of 16 to 64 year olds who were employed, by ethnicity over time
All Asian Indian Pakistani, Bangladeshi Asian other Black Mixed White White British White other Other Unknown
time 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 73 27,057,900 57 1,095,500 68 531,100 44 316,700 58 247,800 60 493,400 62 168,000 74 25,022,700 74 23,746,800 71 1,275,900 55 254,900 66 23,300
2005 73 27,365,300 57 1,153,300 69 546,700 44 327,400 60 279,200 61 533,700 62 170,000 74 25,180,000 74 23,787,200 73 1,392,800 57 306,300 65 21,900
2006 73 27,592,800 58 1,217,000 69 586,200 45 347,300 60 283,500 62 583,400 65 181,500 74 25,245,300 74 23,608,000 74 1,637,300 55 348,000 61 17,600
2007 73 27,850,200 58 1,295,600 69 604,000 45 366,800 61 324,800 63 614,100 63 192,500 74 25,347,400 74 23,632,100 75 1,715,300 58 384,700 56 15,900
2008 72 27,957,200 59 1,396,800 69 631,900 46 396,300 64 368,600 61 623,400 60 194,200 74 25,329,800 74 23,532,100 75 1,797,700 58 396,800 62 16,300
2009 71 27,508,700 59 1,448,500 68 661,500 47 423,200 63 363,800 58 612,600 60 210,600 72 24,846,400 72 23,035,600 74 1,810,800 56 369,200 62 21,500
2010 70 27,484,600 59 1,495,100 70 689,000 46 436,000 59 370,100 60 654,300 61 217,600 72 24,703,600 72 22,876,300 74 1,827,300 56 388,300 66 25,800
2011 70 27,546,800 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 71 27,759,100 59 1,666,100 69 733,800 48 503,600 60 428,700 60 691,800 60 247,200 72 24,749,700 72 22,997,200 75 1,752,400 56 388,700 53 15,700
2013 71 28,069,200 59 1,683,400 69 735,200 49 530,900 59 417,300 61 705,500 62 270,500 73 24,996,900 73 23,200,500 76 1,796,400 57 396,200 58 16,600
2014 72 28,585,700 62 1,810,600 71 787,200 52 578,000 62 445,300 62 750,300 63 286,700 74 25,277,300 74 23,297,800 77 1,979,500 57 411,800 67 49,000
2015 74 29,208,300 63 1,860,100 71 798,500 53 589,000 64 472,500 65 860,800 65 298,600 75 25,718,900 75 23,546,300 79 2,172,600 59 434,200 63 35,600
2016 74 29,506,000 63 1,973,300 73 825,100 54 637,000 63 511,200 67 887,500 64 324,700 76 25,830,800 75 23,446,900 80 2,383,900 61 466,300 64 23,400
2017 75 29,946,000 64 2,012,400 74 833,000 55 655,900 64 523,600 67 858,100 67 360,900 77 26,214,500 76 23,697,000 81 2,517,500 62 481,100 57 19,000
2018 75 30,116,600 66 2,084,600 76 856,200 57 715,600 64 512,900 67 940,900 67 365,800 77 26,212,300 76 23,733,100 82 2,479,200 61 488,300 66 24,800
2019 76 30,427,000 65 2,140,000 76 898,900 56 712,400 65 528,700 69 996,900 69 366,600 78 26,395,600 77 23,808,800 83 2,586,800 63 512,200 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2020 75 30,247,200 68 2,098,800 77 932,800 57 611,300 68 554,700 67 969,000 69 445,700 77 26,241,100 76 23,727,400 82 2,513,700 66 468,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2021 75 30,024,000 69 2,170,000 78 943,100 58 645,800 69 581,100 67 969,700 64 446,400 76 25,920,200 76 23,430,600 82 2,489,600 67 495,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
2022 76 30,498,400 70 2,394,200 77 998,100 61 719,900 71 676,200 69 1,073,600 69 484,700 77 25,908,400 76 23,345,900 82 2,562,500 68 617,500 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’ (CSV) Source data for ‘By ethnicity over time’ (CSV)

Summary of Employment By ethnicity over time Summary

The data shows that, between 2004 and 2022:

  • the employment rate increased in every ethnic group

  • the biggest increase was in the combined Pakistani and Bangladeshi ethnic group (from 44% in 2004, to 61% in 2022)

  • the smallest increases were in the white ethnic group (from 74% to 77%) and the mixed ethnic group (from 62% to 69%)

6. By ethnicity and gender

Percentage and number of 16 to 64 year olds who were employed, by ethnicity and gender
All Men Women
Ethnicity All % All Number of people employed Men % Men Number of people employed Women % Women Number of people employed
All 76 30,498,400 79 15,856,900 72 14,641,500
Asian 70 2,394,200 79 1,331,000 61 1,063,200
Indian 77 998,100 84 556,200 70 441,900
Pakistani, Bangladeshi 61 719,900 75 452,400 46 267,500
Asian other 71 676,200 75 322,500 68 353,800
Black 69 1,073,600 74 471,600 66 602,000
Mixed 69 484,700 67 221,400 71 263,300
White 77 25,908,400 80 13,474,100 74 12,434,300
White British 76 23,345,900 79 12,232,100 74 11,113,800
White other 82 2,562,500 86 1,242,000 79 1,320,500
Other 68 617,500 75 346,900 60 270,600

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

Summary of Employment By ethnicity and gender Summary

The data shows that:

  • the employment rate was higher for women (71%) than men (67%) in the mixed ethnic group – in all other ethnic groups, the rate was higher for men than women

  • the biggest gap between men and women was in the combined Pakistani and Bangladeshi ethnic group, where 75% of men and 46% of women were employed

  • the smallest gap was in the mixed ethnic group, where 67% of men and 71% of women were employed

  • for both men and women, the highest employment rate was in the ‘white other’ ethnic group – 86% for men and 79% for women

  • the lowest employment rate for women was in the combined Pakistani and Bangladeshi ethnic group (46%)

  • the lowest employment rate for men was in the mixed ethnic group (67%)

7. By ethnicity and age

Percentage and number of 16 to 64 year olds who were employed, by ethnicity and age
16-24 25-49 50-64 All
Ethnicity 16-24 % 16-24 Number of people employed 25-49 % 25-49 Number of people employed 50-64 % 50-64 Number of people employed All % All Number of people employed
All 54 3,567,500 85 17,875,800 71 9,055,100 76 30,498,400
Asian 38 229,500 79 1,746,000 70 418,700 70 2,394,200
Indian 42 76,700 85 747,600 73 173,900 77 998,100
Pakistani, Bangladeshi 35 91,000 71 526,400 60 102,500 61 719,900
Asian other 37 61,800 79 472,100 76 142,400 71 676,200
Black 40 134,700 79 654,900 74 284,000 69 1,073,600
Mixed 49 117,800 82 286,900 74 80,000 69 484,700
White 58 3,034,400 87 14,721,700 71 8,152,300 77 25,908,400
White British 58 2,867,700 87 12,808,900 70 7,669,300 76 23,345,900
White other 50 166,700 89 1,912,800 78 483,000 82 2,562,500
Other 29 46,200 79 457,000 65 114,400 68 617,500

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

Summary of Employment By ethnicity and age Summary

The data shows that:

  • the employment rate was 54% for all 16 to 24 year olds, 85% for 25 to 49 year olds, and 71% for 50 to 64 year olds

  • among 16 to 24 year olds, the employment rate was highest in the white British ethnic group (58%), and lowest in the ‘other’ (29%) and combined Pakistani and Bangladeshi (35%) ethnic groups

  • among 25 to 49 year olds, the employment rate was highest in the ‘white other’ ethnic group (89%), and lowest in the combined Pakistani and Bangladeshi group (71%)

  • among 50 to 64 year olds, the employment rate was highest in the ‘white other’ ethnic group (78%), and lowest in the combined Pakistani and Bangladeshi group (60%)

  • the difference in the employment rate between white people and people from ethnic minorities (excluding white minorities) was biggest among 16 to 24 year olds – 58% of white people and 39% of people from ethnic minorities were employed

  • there was no difference in the employment rate between white people and people from ethnic minorities (excluding white minorities) among 50 to 64 year olds (71%) – download the data to see these figures in detail

8. By ethnicity over time (16 to 24 year olds only)

Percentage of 16 to 24 year olds who were employed, by ethnicity over time
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Ethnicity 2004 % 2004 Number of people employed 2005 % 2005 Number of people employed 2006 % 2006 Number of people employed 2007 % 2007 Number of people employed 2008 % 2008 Number of people employed 2009 % 2009 Number of people employed 2010 % 2010 Number of people employed 2011 % 2011 Number of people employed 2012 % 2012 Number of people employed 2013 % 2013 Number of people employed 2014 % 2014 Number of people employed 2015 % 2015 Number of people employed 2016 % 2016 Number of people employed 2017 % 2017 Number of people employed 2018 % 2018 Number of people employed 2019 % 2019 Number of people employed 2020 % 2020 Number of people employed 2021 % 2021 Number of people employed 2022 % 2022 Number of people employed
All 60 3,934,400 59 3,944,900 58 3,937,800 57 3,974,300 56 3,929,200 53 3,689,900 50 3,558,700 49 3,535,500 50 3,537,700 50 3,532,600 51 3,589,700 54 3,788,300 54 3,734,200 54 3,726,200 54 3,656,100 54 3,630,900 52 3,477,200 52 3,394,600 54 3,567,500
Asian 37 178,600 36 181,100 39 190,400 35 174,500 37 192,200 33 170,500 30 169,400 not collected not collected 31 184,700 28 164,900 30 175,400 33 191,900 31 186,700 34 217,200 37 231,700 34 222,600 33 184,900 37 217,400 38 229,500
Indian 44 73,000 42 67,400 47 75,800 45 73,400 42 74,300 37 60,900 38 65,100 not collected not collected 41 73,600 33 54,600 34 58,200 35 59,800 35 54,900 43 74,100 43 67,200 38 65,400 37 60,200 37 57,600 42 76,700
Pakistani, Bangladeshi 33 70,500 35 80,200 36 82,700 30 66,600 34 75,900 32 75,700 30 72,600 not collected not collected 30 74,700 28 72,800 32 79,700 35 91,200 32 84,300 32 92,600 37 116,600 34 108,300 29 70,400 37 102,400 35 91,000
Asian other 34 35,000 32 33,600 32 31,900 31 34,600 33 42,000 28 33,800 22 31,600 not collected not collected 23 36,400 24 37,500 24 37,600 27 40,900 27 47,600 29 50,500 29 47,900 31 48,900 36 54,400 37 57,400 37 61,800
Black 36 63,300 35 64,200 38 75,200 38 74,400 31 68,300 28 61,800 27 62,100 not collected not collected 27 62,400 27 67,600 31 82,200 32 92,100 37 104,100 34 86,400 33 96,200 37 108,000 32 87,100 31 89,000 40 134,700
Mixed 49 54,200 46 50,500 49 52,300 49 54,300 44 56,400 41 54,700 36 44,300 not collected not collected 41 63,700 43 71,900 43 75,300 42 71,400 39 66,800 47 87,300 46 84,600 46 75,500 45 92,600 36 89,000 49 117,800
White 63 3,603,200 62 3,609,200 61 3,576,100 61 3,619,200 60 3,555,000 56 3,361,100 54 3,243,000 not collected not collected 53 3,193,600 54 3,195,300 55 3,217,100 58 3,386,400 58 3,331,700 58 3,294,300 58 3,195,100 58 3,180,900 56 3,072,300 55 2,959,900 58 3,034,400
White British 63 3,453,900 62 3,423,300 61 3,336,200 61 3,386,100 59 3,303,600 56 3,138,700 54 3,045,800 not collected not collected 53 3,045,500 54 3,041,400 55 3,050,000 58 3,196,900 58 3,121,500 59 3,065,300 58 2,998,500 58 2,956,700 56 2,919,900 56 2,826,700 58 2,867,700
White other 56 149,300 62 185,900 65 239,900 61 233,100 63 251,400 57 222,400 55 197,200 not collected not collected 48 148,100 51 153,900 49 167,100 55 189,400 56 210,100 55 229,100 53 196,600 59 224,200 49 152,300 44 133,200 50 166,700
Other 36 31,900 36 37,300 34 42,100 37 49,200 37 54,800 30 38,700 29 36,400 not collected not collected 26 31,800 25 29,900 26 34,200 34 41,000 32 41,900 30 38,800 31 46,100 30 43,300 36 39,200 34 36,600 29 46,200

Download table data for ‘By ethnicity over time (16 to 24 year olds only)’ (CSV) Source data for ‘By ethnicity over time (16 to 24 year olds only)’ (CSV)

Summary of Employment By ethnicity over time (16 to 24 year olds only) Summary

16 to 24 year olds were less likely to be employed than older people. This is partly because people in this age group were more likely to be students and therefore classed as economically inactive.

The data shows that, between 2004 and 2022:

  • the employment rate for 16 to 24 year olds went down from 60% to 54%

  • the biggest decreases were in the white ‘other’ ethnic group (from 56% to 50%), and the ‘other’ ethnic group (from 36% to 29%) – however, the numbers of people surveyed are too small to make reliable generalisations

9. By ethnicity and area

Percentage of 16 to 64 year olds who were employed, by ethnicity and area
All East Midlands East of England London North East North West Scotland South East South West Wales West Midlands Yorkshire and The Humber
Ethnicity All % All Number of people employed East Midlands % East Midlands Number of people employed East of England % East of England Number of people employed London % London Number of people employed North East % North East Number of people employed North West % North West Number of people employed Scotland % Scotland Number of people employed South East % South East Number of people employed South West % South West Number of people employed Wales % Wales Number of people employed West Midlands % West Midlands Number of people employed Yorkshire and The Humber % Yorkshire and The Humber Number of people employed
All 76 30,498,400 75 2,221,300 78 2,974,400 76 4,691,200 71 1,148,600 74 3,303,200 74 2,559,900 78 4,376,600 78 2,622,300 73 1,401,000 74 2,680,100 75 2,519,700
Asian 70 2,394,200 68 160,500 72 169,100 71 854,600 65 30,600 64 211,300 68 91,000 78 312,200 71 72,100 74 32,000 67 315,500 63 145,300
Indian 77 998,100 72 106,500 83 73,300 79 356,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 74 70,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 80 138,700 81 29,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 76 143,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
Pakistani, Bangladeshi 61 719,900 62 25,000 59 44,300 63 249,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 55 91,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 75 59,900 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 58 117,900 61 79,000
Asian other 71 676,200 60 29,000 74 51,500 72 248,200 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 72 50,400 71 38,300 78 113,600 65 32,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 70 54,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
Black 69 1,073,600 73 64,800 78 93,300 70 524,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 64 72,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 68 81,300 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 64 113,500 67 52,200
Mixed 69 484,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 76 58,500 71 145,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 60 39,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 75 59,100 81 37,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 56 37,400 63 40,200
White 77 25,908,400 76 1,936,900 79 2,613,200 80 2,885,900 71 1,084,700 75 2,942,300 75 2,395,100 79 3,848,800 79 2,473,000 74 1,336,300 77 2,148,200 76 2,243,900
White British 76 23,345,900 75 1,764,100 78 2,343,800 80 1,994,700 71 1,051,800 75 2,797,000 74 2,186,400 78 3,474,600 78 2,318,400 74 1,291,500 76 2,003,800 76 2,119,900
White other 82 2,562,500 85 172,800 83 269,500 81 891,300 77 32,900 82 145,300 85 208,700 84 374,200 84 154,700 78 44,800 82 144,400 80 124,000
Other 68 617,500 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 70 273,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 53 37,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 77 72,300 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 63 63,400 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 area’ (CSV) Source data for ‘By ethnicity and area’ (CSV)

Summary of Employment By ethnicity and area Summary

The data shows that:

  • the lowest overall employment rate was in the North East (71%)

  • the highest overall employment rates were in the South East, South West, and the East of England (all 78%)

  • the highest employment rates out of all ethnic groups and regions was for people in the white ‘other’ ethnic group in the East Midlands and Scotland (both 85%)

  • the lowest rate was for people in the combined Pakistani and Bangladeshi ethnic group in North West (55%)

10. 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.

11. Download the data

Employment by region_2022 - Spreadsheet (csv) 4 MB

This file contains the following variables: Measure, Ethnicity, Ethnicity_type, Time, Time_type, geography, geography_type, Age, age_type, sex, value, value_type, confidence_interval, Numerator, Denominator, Sample_size

Employment by local authorities - Spreadsheet (csv) 3 MB

This file contains the following variables: Measure, Ethnicity, Ethnicity_type, Time, Time_type, geography, geography_type, Age, age_type, sex, value, value_type, confidence_interval, Numerator, Denominator, Sample_size