Unemployment

Published

Last updated 26 March 2024 - see all updates

1. Main facts and figures

  • the overall unemployment rate in 2022 was 4%
  • 3% of white people were unemployed in 2022, compared with 6% of people from all other ethnic groups combined
  • people from the combined Bangladeshi and Pakistani (9%), Asian ‘other’ (7%) and black (7%) ethnic groups had the highest unemployment rates out of all ethnic groups
  • white people had the lowest unemployment rates out of all ethnic groups (3%)
  • the unemployment rate for men and women was the same (4%)
  • in every ethnic group, 16 to 24 year olds were more likely to be unemployed than any other age group
  • out of all regions, Yorkshire and the Humber had the highest unemployment rates for people from the mixed (15%), ‘other’ (15%), and combined Pakistani and Bangladeshi (12%) ethnic groups

Further research

Before the start of the COVID-19 pandemic, unemployment levels among ethnic minority groups had been falling (PDF opens in a new window or tab). There was then an increase in unemployment (PDF opens in a new window or tab), with people from ethnic minority backgrounds having a greater chance of being unemployed than white people.

Recent research by the Equality Hub shows that migration and integration are factors that may affect the disparities faced by ethnic minorities in the labour market. The study found generational differences in labour market outcomes within ethnic minority groups, with second generation Bangladeshi men less likely to be unemployed than white British men. Similarly, black African women are less likely to be unemployed than white British women. For Pakistani and Bangladeshi women, there is no evidence of a generational effect – first and second generation Pakistani and Bangladeshi women were more likely to be unemployed compared with white British women, even after controlling for level of education and health.

The reasons for poor labour market outcomes for certain ethnic groups are complex. According to research by the Department for Work and Pensions, some of the disparities might be due to the effects of segregation and cultural attitudes, where women are expected to stay at home and care for younger and older members of the household.

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 unemployed. Percentages are worked out using the economically active population (people aged 16 and over who are employed or unemployed).

Someone is classed as unemployed if they:

  • are out of work
  • are available to start work in the next 2 weeks
  • have either been looking for work in the past 4 weeks or have found a job and are waiting to start

Percentages are rounded to whole numbers. Population numbers are rounded to the nearest 100 people, but unemployment 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 (‘white other’ ethnic group). Separate figures are also shown for 3 different Asian ethnic groups (Indian, Pakistani and Bangladeshi combined, and Asian ‘other’).

Some data is shown only for 2 ethnic groups:

  • white – all white ethnic groups, including white minorities
  • all other ethnic groups

This is to make sure that estimates are reliable.

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.

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 unemployment 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
  • by local authority for white and all other ethnic groups combined
  • confidence intervals for each ethnic group – read about how we use confidence intervals
  • of sample sizes
  • rounded to 1 decimal place
  • of length of unemployment by age, geography, sex and overtime

3. By ethnicity

Percentage and number of economically active people who were unemployed, by ethnicity
Ethnicity % of people unemployed Number of people unemployed
All 4 1,179,600
Asian 6 159,400
Indian 4 41,100
Pakistani, Bangladeshi 9 67,700
Asian other 7 50,500
Black 7 82,100
Mixed 6 33,300
White 3 866,000
White British 3 772,500
White other 4 93,600
Other 6 38,800
Unknown 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 Unemployment By ethnicity Summary

The data shows that:

  • in 2022, 4% of the economically active population (all people aged 16 and over who were employed or unemployed) were unemployed

  • 9% of people in the combined Bangladeshi and Pakistani ethnic group were unemployed – the highest rate out of all ethnic groups

  • 7% of people from the black and Asian ‘other’ ethnic groups were unemployed

  • 3% of white people were unemployed – the lowest rate out of all ethnic groups

4. By ethnicity (white and other ethnic groups)

Percentage of economically active people who were unemployed, by ethnicity over time (white and other ethnic groups)
All Other ethnic groups White Unknown
time All % of people unemployed All Number of people unemployed Other ethnic groups % of people unemployed Other ethnic groups Number of people unemployed White % of people unemployed White Number of people unemployed Unknown % of people unemployed Unknown Number of people unemployed
2004 5 1,379,000 11 243,300 4 1,133,500 8 2,200
2005 5 1,442,700 11 258,600 4 1,182,500 7 1,700
2006 5 1,598,500 12 303,900 5 1,292,900 9 1,800
2007 5 1,558,700 11 299,100 5 1,258,100 8 1,400
2008 6 1,738,400 11 327,100 5 1,410,400 5 800
2009 8 2,343,300 13 403,300 7 1,937,600 10 2,500
2010 8 2,341,200 13 410,600 7 1,928,200 8 2,400
2011 8 2,476,600 not collected not collected not collected not collected not collected not collected
2012 8 2,454,300 14 482,100 7 1,971,400 5 800
2013 8 2,362,500 14 493,300 7 1,867,700 8 1,500
2014 6 1,971,400 11 396,800 6 1,569,500 9 5,100
2015 5 1,675,200 9 363,900 5 1,310,000 3 1,300
2016 5 1,552,000 8 336,400 4 1,214,300 5 1,200
2017 4 1,422,600 8 314,000 4 1,106,100 10 2,400
2018 4 1,360,800 7 298,800 4 1,060,900 4 1,100
2019 4 1,287,300 7 289,900 4 996,900 3 500
2020 5 1,537,500 8 365,700 4 1,171,500 2 400
2021 4 1,450,200 8 362,400 4 1,086,500 6 1,300
2022 4 1,179,600 6 313,600 3 866,000 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable

Download table data for ‘By ethnicity (white and other ethnic groups)’ (CSV) Source data for ‘By ethnicity (white and other ethnic groups)’ (CSV)

Summary of Unemployment By ethnicity (white and other ethnic groups) Summary

The data shows that:

  • the overall unemployment rate was lower in 2022 (4%) than it was in 2004 (5%)

  • the rate for people from all other ethnic groups combined was lower in 2022 (6%) than in 2004 (11%)

  • the rate for white people was also lower in 2022 (3%) than in 2004 (4%)

5. By ethnicity over time

Percentage of economically active people who were unemployed, by ethnicity over time
All Asian Asian other Black Indian Mixed Other Pakistani, Bangladeshi White White British White other Unknown
time All % of people unemployed All Number of people unemployed Asian % of people unemployed Asian Number of people unemployed Asian other % of people unemployed Asian other Number of people unemployed Black % of people unemployed Black Number of people unemployed Indian % of people unemployed Indian Number of people unemployed Mixed % of people unemployed Mixed Number of people unemployed Other % of people unemployed Other Number of people unemployed Pakistani, Bangladeshi % of people unemployed Pakistani, Bangladeshi Number of people unemployed White % of people unemployed White Number of people unemployed White British % of people unemployed White British Number of people unemployed White other % of people unemployed White other Number of people unemployed Unknown % of people unemployed Unknown Number of people unemployed
2004 5 1,379,000 9 114,400 9 25,600 13 73,200 7 39,800 12 24,000 11 31,700 13 49,100 4 1,133,500 4 1,054,400 6 79,100 8 2,200
2005 5 1,442,700 9 115,300 8 23,000 14 84,600 7 41,600 12 22,200 11 36,400 13 50,800 4 1,182,500 4 1,095,600 6 86,900 7 1,700
2006 5 1,598,500 10 138,000 8 26,000 13 89,600 8 49,300 11 22,700 13 53,500 15 62,800 5 1,292,900 5 1,197,700 5 95,200 9 1,800
2007 5 1,558,700 10 137,800 9 30,800 13 90,000 7 44,300 12 26,700 10 44,700 15 62,800 5 1,258,100 5 1,164,800 5 93,300 8 1,400
2008 6 1,738,400 9 144,300 7 29,300 14 103,900 7 47,100 13 28,300 11 50,700 15 67,900 5 1,410,400 5 1,309,400 5 101,100 5 800
2009 8 2,343,300 11 181,400 9 34,100 18 137,900 9 62,400 14 34,700 12 49,100 17 84,900 7 1,937,600 7 1,804,600 7 133,000 10 2,500
2010 8 2,341,200 11 182,300 9 36,300 16 129,100 8 60,100 15 39,900 13 59,300 16 85,900 7 1,928,200 7 1,806,900 6 121,400 8 2,400
2011 8 2,476,600 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 8 2,454,300 12 228,100 10 46,000 17 145,700 10 81,100 16 46,300 14 62,000 17 101,000 7 1,971,400 7 1,854,700 6 116,600 5 800
2013 8 2,362,500 12 231,900 9 39,200 17 149,600 9 73,600 16 53,400 13 58,500 18 119,100 7 1,867,700 7 1,746,000 6 121,700 8 1,500
2014 6 1,971,400 9 178,700 8 36,400 15 129,100 6 50,800 13 41,200 10 47,900 14 91,500 6 1,569,500 6 1,450,700 6 118,900 9 5,100
2015 5 1,675,200 8 169,500 7 33,300 12 115,800 7 57,800 11 37,200 9 41,400 12 78,300 5 1,310,000 5 1,200,500 5 109,500 3 1,300
2016 5 1,552,000 7 157,000 6 30,900 10 103,600 5 44,300 11 39,100 7 36,700 11 81,800 4 1,214,300 4 1,108,700 4 105,700 5 1,200
2017 4 1,422,600 7 156,600 6 31,600 9 86,500 6 50,500 7 29,400 8 41,500 10 74,600 4 1,106,100 4 1,004,100 4 102,100 10 2,400
2018 4 1,360,800 6 138,800 6 33,500 9 91,900 4 39,200 7 28,000 8 40,100 8 66,000 4 1,060,900 4 971,400 3 89,500 4 1,100
2019 4 1,287,300 6 135,700 6 34,700 8 87,400 4 37,000 6 25,000 7 41,800 8 64,000 4 996,900 4 911,800 3 85,200 3 500
2020 5 1,537,500 7 168,700 8 49,800 11 123,000 5 54,600 8 38,800 7 35,100 9 64,300 4 1,171,500 4 1,046,400 5 125,100 2 400
2021 4 1,450,200 7 166,600 7 45,000 9 102,200 4 45,100 10 50,100 8 43,500 11 76,600 4 1,086,500 4 991,200 4 95,300 6 1,300
2022 4 1,179,600 6 159,400 7 50,500 7 82,100 4 41,100 6 33,300 6 38,800 9 67,700 3 866,000 3 772,500 4 93,600 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 Unemployment By ethnicity over time Summary

The data shows that, between 2004 and 2022:

  • the unemployment rate went down from 13% to 7% for black people, and from 12% to 6% for people with mixed ethnicity – the largest decreases out of all ethnic groups

  • the rate went down from 13% to 9% for people from the combined Pakistani and Bangladeshi ethnic group, and from 11% to 6% for people from the ‘other’ ethnic group

  • the rate for white people went down from 4% to 3% – the smallest decrease out all ethnic groups

6. By ethnicity and gender

Percentage and number of economically active people who were unemployed, by ethnicity and gender
All Men Women
Ethnicity All % of people unemployed All Number of people unemployed Men % of people unemployed Men Number of people unemployed Women % of people unemployed Women Number of people unemployed
All 4 1,179,600 4 634,600 4 545,000
Asian 6 159,400 6 84,500 7 74,800
Indian 4 41,100 3 20,000 5 21,100
Pakistani, Bangladeshi 9 67,700 7 35,500 11 32,200
Asian other 7 50,500 8 29,000 6 21,500
Black 7 82,100 6 30,800 8 51,300
Mixed 6 33,300 7 15,800 6 17,500
White 3 866,000 3 486,400 3 379,600
White British 3 772,500 3 452,000 3 320,500
White other 4 93,600 3 34,400 4 59,100
Other 6 38,800 5 17,000 7 21,800

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

Summary of Unemployment By ethnicity and gender Summary

The data shows that in 2022:

  • the overall unemployment rate for men and women was the same (4%)

  • the unemployment rate was higher for women than men in the Indian, combined Pakistani and Bangladeshi, black, ‘other’ and white ‘other’ ethnic groups

  • the gap between men and women was biggest in the combined Pakistani and Bangladeshi ethnic group, where 11% of women and 7% of men were unemployed

  • among both men and women, white people were the least likely to be unemployed out of all ethnic groups

7. By ethnicity and age

Percentage and number of economically active people who were unemployed, by ethnicity and age
16-24 25-49 50-64 65+ All
Ethnicity 16-24 % of people unemployed 16-24 Number of people unemployed 25-49 % of people unemployed 25-49 Number of people unemployed 50-64 % of people unemployed 50-64 Number of people unemployed 65+ % of people unemployed 65+ Number of people unemployed All % of people unemployed All Number of people unemployed
All 11 419,000 3 499,000 3 235,400 2 26,200 4 1,179,600
Asian 18 50,100 5 89,800 4 17,800 3 1,600 6 159,400
Indian 12 10,800 3 23,600 3 5,500 4 1,200 4 41,100
Pakistani, Bangladeshi 20 22,500 7 40,900 4 4,100 2 100 9 67,700
Asian other 21 16,700 5 25,300 6 8,200 2 300 7 50,500
Black 20 32,700 5 31,800 6 16,500 5 1,100 7 82,100
Mixed 14 18,900 4 11,300 3 2,800 4 200 6 33,300
White 9 303,200 2 348,300 2 191,300 2 23,200 3 866,000
White British 9 281,800 2 290,500 2 179,000 2 21,100 3 772,500
White other 11 21,300 3 57,900 3 12,300 5 2,100 4 93,600
Other 24 14,200 4 17,700 6 6,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 6 38,800

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

Summary of Unemployment By ethnicity and age Summary

The data shows that:

  • the unemployment rate was 11% for 16 to 24 year olds, 3% for 25 to 49 year olds, 3% for 50 to 64 year olds, and 2% for over 65s

  • in every ethnic group, 16 to 24 year olds were more likely to be unemployed than any other age group

  • among 16 to 24 year olds, white people had the lowest unemployment rate (9%) – people from the ‘other’ ethnic group had the highest unemployment rate (24%) in this age group

  • among 25 to 49 year olds, the unemployment rate was highest among people from the Pakistani and Bangladeshi ethnic group (7%) – it was lowest among white people (2%)

  • among 50 to 64 year olds, the unemployment rate was highest among the black and Asian ‘other’ ethnic groups (6%) – it was lowest among white people (2%)

  • the unemployment rate among over 65s was highest among the black ‘other’ and white ‘other’ ethnic groups (5%), followed by the Indian ethnic group (4%) – it was lowest among white people and the Pakistani and Bangladeshi (2%), however these estimates are based on small sample sizes and are less reliable as a result

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

Percentage and number of economically active 16 to 24 year olds who were unemployed, by ethnicity over time
All Asian Indian Pakistani, Bangladeshi Asian other Black Mixed White White British White other Other
time All % of people unemployed All Number of people unemployed Asian % of people unemployed Asian Number of people unemployed Indian % of people unemployed Indian Number of people unemployed Pakistani, Bangladeshi % of people unemployed Pakistani, Bangladeshi Number of people unemployed Asian other % of people unemployed Asian other Number of people unemployed Black % of people unemployed Black Number of people unemployed Mixed % of people unemployed Mixed Number of people unemployed White % of people unemployed White Number of people unemployed White British % of people unemployed White British Number of people unemployed White other % of people unemployed White other Number of people unemployed Other % of people unemployed Other Number of people unemployed
2004 12 553,800 22 50,200 19 16,600 25 23,600 22 10,000 33 31,300 20 13,900 11 449,000 11 427,100 13 21,900 21 8,400
2005 13 591,300 21 47,900 18 14,600 24 24,800 20 8,600 30 27,000 22 14,200 12 489,800 12 464,500 12 25,300 24 11,600
2006 14 637,900 22 52,200 17 15,200 26 29,400 19 7,500 27 28,200 21 13,600 13 527,700 13 497,400 11 30,300 27 15,400
2007 14 638,900 25 56,900 18 16,100 33 32,100 20 8,700 27 27,000 20 13,800 13 529,000 13 499,200 11 29,800 19 11,600
2008 15 700,200 23 57,200 19 17,000 29 30,200 19 10,000 35 36,000 21 14,900 14 572,400 14 541,900 11 30,400 26 19,300
2009 19 862,000 27 61,700 24 19,300 30 33,000 22 9,400 42 45,000 23 16,100 18 725,100 18 694,500 12 30,600 25 12,600
2010 20 862,400 28 65,300 23 19,800 31 32,800 29 12,700 39 38,800 34 23,100 18 721,100 19 694,200 12 26,800 27 13,500
2011 21 960,200 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 21 946,200 29 75,700 25 24,900 33 36,700 28 14,100 43 47,500 29 25,400 20 778,400 20 750,800 16 27,600 37 18,900
2013 20 894,200 35 87,100 28 21,400 42 53,500 25 12,200 42 49,400 30 31,200 18 711,500 19 688,300 13 23,200 33 14,600
2014 17 742,100 25 59,400 18 13,000 30 34,600 24 11,800 32 38,500 24 24,200 16 605,000 16 573,400 16 31,700 28 13,000
2015 14 629,600 24 60,900 24 18,500 26 32,500 20 9,900 28 35,400 22 20,600 13 503,700 13 471,800 14 31,900 18 9,100
2016 13 569,600 22 52,500 16 10,400 28 32,800 16 9,300 25 34,900 26 23,300 12 450,500 12 422,100 12 28,400 17 8,400
2017 12 515,200 21 56,100 15 13,500 26 31,700 18 10,900 23 25,500 14 13,600 11 410,100 11 388,700 9 21,400 19 9,200
2018 12 486,100 18 49,700 11 8,700 21 30,600 18 10,500 24 30,500 15 14,900 11 384,300 11 359,000 11 25,300 12 6,600
2019 11 468,300 19 52,700 13 9,800 24 33,300 16 9,600 21 29,000 13 11,000 10 364,800 10 344,200 8 20,600 20 10,800
2020 14 555,900 25 61,100 19 13,900 31 32,200 22 15,000 30 37,300 17 19,500 12 431,400 12 393,700 20 37,700 15 6,700
2021 13 490,000 18 46,900 10 6,400 20 25,800 20 14,700 30 38,900 24 27,300 11 366,000 11 338,500 17 27,400 23 10,800
2022 11 419,000 18 50,100 12 10,800 20 22,500 21 16,700 20 32,700 14 18,900 9 303,200 9 281,800 11 21,300 24 14,200

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

The data shows that:

  • in 2022, the unemployment rate among 16 to 24 year olds was 11%

  • the unemployment gap between white 16 to 24 year olds and those from the Pakistani and Bangladeshi ethnic groups was 24 percentage points in 2013 – in 2022, the gap had gone down to 11 percentage points

  • 2012 had the highest unemployment rates for white (20%) and black (43%) 16 to 24 year olds in the period covered by this data

  • between 2021 and 2022, the unemployment rate for black 16 to 24 year olds went down from 30% to 20% – it also went down those from the mixed ethnic group (from 24% to 14%), and for white 16 to 24 year olds (from 11% to 9%)

  • between 2021 and 2022, the unemployment rate went down or stayed the same for all ethnic groups except the Indian (up from 10% to 12%), Asian ‘other’ (up from 20% to 21%), and ‘other’ (up from 23% to 24%) groups

9. By ethnicity and area

Percentage and number of economically active people who were unemployed, 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 % of people unemployed All Number of people unemployed East Midlands % of people unemployed East Midlands Number of people unemployed East of England % of people unemployed East of England Number of people unemployed London % of people unemployed London Number of people unemployed North East % of people unemployed North East Number of people unemployed North West % of people unemployed North West Number of people unemployed Scotland % of people unemployed Scotland Number of people unemployed South East % of people unemployed South East Number of people unemployed South West % of people unemployed South West Number of people unemployed Wales % of people unemployed Wales Number of people unemployed West Midlands % of people unemployed West Midlands Number of people unemployed Yorkshire and The Humber % of people unemployed Yorkshire and The Humber Number of people unemployed
All 4 1,179,600 3 68,700 3 89,200 4 224,500 5 57,400 4 146,100 3 94,100 3 148,000 3 74,500 3 45,400 5 135,300 4 96,600
Asian 6 159,400 7 11,900 5 8,800 7 61,100 8 2,600 5 11,700 6 5,900 3 11,000 5 3,900 4 1,400 7 25,600 10 15,700
Indian 4 41,100 4 4,700 1 1,100 4 14,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 4 2,700 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 2 3,400 2 600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 4 6,100 11 4,100
Pakistani, Bangladeshi 9 67,700 5 1,300 10 4,800 9 26,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 7 7,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 4 2,500 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 8 10,600 12 11,200
Asian other 7 50,500 17 5,900 5 2,900 7 20,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 3 1,600 5 1,900 4 5,100 9 3,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 14 8,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable
Black 7 82,100 4 2,500 4 4,000 7 37,600 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 10 8,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 6 5,400 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 9 11,400 9 5,300
Mixed 6 33,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 7 4,200 3 5,100 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 10 4,500 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 4 2,300 5 1,900 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 9 4,000 15 7,100
White 3 866,000 3 51,900 2 68,700 4 110,400 5 53,100 4 115,700 3 83,600 3 126,400 3 65,900 3 40,500 4 88,000 3 61,900
White British 3 772,500 3 48,600 2 61,200 3 67,900 5 52,800 4 109,900 3 77,800 3 112,200 3 63,400 3 38,300 4 83,500 3 56,700
White other 4 93,600 2 3,300 3 7,500 5 42,400 1 300 4 5,800 3 5,700 4 14,200 2 2,400 5 2,200 3 4,500 4 5,200
Other 6 38,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 8 3,500 4 10,300 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 13 5,800 withheld because a small sample size makes it unreliable withheld because a small sample size makes it unreliable 4 2,800 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 9 6,300 15 6,600

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

Summary of Unemployment By ethnicity and area Summary

The data shows that:

  • out of all ethnic groups, white people had the lowest unemployment rates in the East Midlands, North East, Scotland, West Midlands and Yorkshire and the Humber

  • out of all regions, Yorkshire and the Humber had the highest unemployment rates for people from the mixed (15%), ‘other’ (15%), Pakistani and Bangladeshi (12%), and Indian (11%) ethnic groups

  • the East Midlands had the highest unemployment rate for people from the Asian ‘other’ ethnic group (17%)

  • out of all regions, black people had the highest unemployment rate in the North West (10%), followed by West Midlands, and Yorkshire and the Humber (both 9%)

  • the East of England and London had the largest unemployment rate difference between white people (8%) and people from the Pakistani and Bangladeshi ethnic group (5%)

  • the East Midlands had the largest difference in unemployment rate between white people and people from the Asian ‘other’ ethnic group (14%)

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

Unemployment 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

Unemployment by region_2022 - Spreadsheet (csv) 5 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

Length of unemployment (2022) - Spreadsheet (csv) 24 MB

This file contains the following: Measure, Length of unemployment, Ethnicity, Ethnicity_type, Time, Time_type, Geography, Geography_type, age, age_type, sex, Value, Value_type, Confidence_interval, Numerator , Denominator, Sample_size