- 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 (white and other ethnic groups) section
- 5. Navigate to By ethnicity over time section
- 6. Navigate to By ethnicity and gender section
- 7. Navigate to By ethnicity and age section
- 8. Navigate to By ethnicity over time (16 to 24 year olds only) section
- 9. Navigate to By ethnicity and area section
- 10. Navigate toData sources section
- 11. Navigate toDownload the data section
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:
- 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, 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
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)
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
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
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
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)
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
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:
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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
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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
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the East Midlands had the highest unemployment rate for people from the Asian ‘other’ ethnic group (17%)
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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%)
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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%)
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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
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
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
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