Full time and part time employment

Published

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1. Main facts and figures

  • 75% of working age people ( 16 to 64 year olds) who were employed in 2019 worked full time, and 25% worked part time

  • people in the White Other (82%) and Indian (81%) ethnic groups were the most likely to work full time out of all ethnic groups

  • people from the combined Pakistani and Bangladeshi group (31%) were the most likely to work part time

  • people from the combined Pakistani and Bangladeshi ethnic group were one of the most likely ethnic groups to be employed part time between 2004 and 2019

  • in 2019, men were more likely to be employed full time than women in every ethnic group

2. Things you need to know

What the data measures

The data measures the number and percentage of employed 16 to 64 year olds who were in full time and part time employment in their main job. The data covers England, Wales and Scotland.

In the Annual Population Survey, respondents decide if they are in part time or full time employment.

A person of working age is counted as employed if they either:

  • are in paid work, as an employee or self-employed
  • have a job that they are temporarily away from, for example on holiday
  • are on a government-supported training or employment programme
  • are doing unpaid family work, for example working in a family business

Percentages in the charts and tables are rounded to whole numbers.

Percentages in the charts and tables are rounded to whole numbers, but have been worked out with unrounded figures. Totals in the download file have been rounded to the nearest 100.

Not included in the data

The data does not include estimates based on fewer than:

  • 30 survey respondents for data which includes all ethnic groups together
  • 100 survey respondents for data by ethnicity

This is to protect people’s confidentiality and because the numbers involved are too small to make reliable generalisations.

The ethnic categories used in this data

The data uses the ethnic categories from the 2011 Census.

Data is aggregated for the Black, Mixed and Other ethnic groups, which means estimates are shown for these groups as a whole.

Data is shown separately for the White British and 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. As a result, estimates from before and after 2011 may not be consistent, and data for individual ethnic groups in 2011 is not available.

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 * confidence intervals for each ethnic group – see how we use confidence intervals to demonstrate the reliability of survey estimates * sample sizes * estimates rounded to 1 decimal place * estimates for employed people who did not report whether they worked full time or part time

3. By ethnicity

Percentage and number of employed 16 to 64 year olds who were in full time and part time employment, by ethnicity
Full time Part time
Ethnicity Full time % Full time Number Part time % Part time Number
All 75 22,885,200 25 7,505,100
Asian 75 1,610,600 25 527,200
Indian 81 728,500 19 169,400
Pakistani and Bangladeshi 69 494,200 31 217,100
Asian other including Chinese 73 387,900 27 140,800
Black 72 722,100 27 269,900
Mixed 74 271,300 26 95,200
White 75 19,893,300 25 6,475,900
White British 75 17,779,900 25 6,003,100
White other 82 2,113,400 18 472,800
Other 73 376,000 26 133,700

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

Summary of Full time and part time employment By ethnicity Summary

The data shows that:

  • 75% of working age people (16 to 64 year olds) who were employed in 2019 worked full time, and 25% worked part time

  • people in the White Other (82%) and Indian (81%) ethnic groups were the most likely out of all ethnic groups to work full time

  • people in the combined Pakistani and Bangladeshi ethnic group (31%) were the most likely to be employed part time

4. By ethnicity over time (full time only)

Percentage of employed 16 to 64 year olds who were in full time employment, by ethnicity over time
Ethnicity 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
% % % % % % % % % % % % % % % %
All 75 75 76 76 75 75 74 74 74 74 74 74 75 75 75 75
Asian 76 76 77 76 76 73 72 not collected 72 74 73 74 75 74 75 75
Indian 78 79 80 80 80 79 79 not collected 77 78 79 80 81 79 82 81
Pakistani and Bangladeshi 72 71 72 73 70 66 63 not collected 66 67 68 67 71 68 69 69
Asian other including Chinese 76 76 76 73 74 71 71 not collected 71 74 70 72 72 74 73 73
Black 76 76 76 75 76 75 72 not collected 72 71 69 70 70 71 72 72
Mixed 74 74 73 72 75 74 73 not collected 71 69 71 67 69 69 73 74
White 75 75 76 75 75 75 74 not collected 74 74 75 75 75 75 75 75
White British 75 75 75 75 75 74 74 not collected 74 74 74 74 74 74 75 75
White other 79 80 81 81 82 79 79 not collected 80 79 80 80 81 80 82 82
Other 76 77 76 77 78 75 71 not collected 72 73 72 69 71 75 72 73

Download table data for ‘By ethnicity over time (full time only)’ (CSV) Source data for ‘By ethnicity over time (full time only)’ (CSV)

Summary of Full time and part time employment By ethnicity over time (full time only) Summary

The data shows that, between 2004 and 2019:

  • the percentage of employed 16 to 64 year olds who worked full time was consistently between 74% and 76%

  • employed people from the White Other and Indian ethnic groups consistently had the highest percentages of people working full time

  • employed people from the combined Pakistani and Bangladeshi ethnic group consistently had one of the lowest percentages of people working full time

  • the percentage of employed people from the White Other ethnic group who worked full time went up from 79% to 82% – the biggest increase out of all ethnic groups

5. By ethnicity over time (part time only)

Percentage of employed 16 to 64 year olds who were in part time employment, by ethnicity over time
Ethnicity 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
% % % % % % % % % % % % % % % %
All 25 25 24 24 24 25 26 26 26 26 26 26 25 25 25 25
Asian 24 24 23 24 24 27 27 not collected 28 26 27 26 25 26 25 25
Indian 21 21 20 20 20 21 21 not collected 23 22 21 20 19 21 18 19
Pakistani and Bangladeshi 27 29 28 27 29 33 37 not collected 33 33 32 32 29 32 31 31
Asian other including Chinese 24 24 24 26 26 29 29 not collected 29 26 29 28 28 26 27 27
Black 23 24 24 24 24 25 27 not collected 28 29 30 29 29 29 28 27
Mixed 26 26 27 28 25 26 26 not collected 28 31 28 32 31 31 27 26
White 25 25 24 24 24 25 26 not collected 26 26 25 25 25 25 25 25
White British 25 25 25 25 25 26 26 not collected 26 26 26 26 26 25 25 25
White other 21 20 19 18 18 21 20 not collected 19 20 19 20 19 20 18 18
Other 24 23 23 22 22 25 28 not collected 28 27 28 31 29 25 28 26

Download table data for ‘By ethnicity over time (part time only)’ (CSV) Source data for ‘By ethnicity over time (part time only)’ (CSV)

Summary of Full time and part time employment By ethnicity over time (part time only) Summary

The data shows that, between 2004 and 2019:

  • the percentage of employed 16 to 64 year olds who worked part time was consistently between 24% and 26%

  • people from the combined Pakistani and Bangladeshi ethnic group were one of the most likely ethnic groups to be employed part time

  • the percentage of employed people from the White Other ethnic group who worked part time went down from 21% to 18% – the biggest decrease out of all ethnic groups

6. By ethnicity and gender

Percentage and number of employed 16 to 64 year olds who were in full time and part time employment, by ethnicity and gender
Men Women
Ethnicity Men % Full time Men Number Full time Men % Part time Men Number Part time Women % Full time Women Number Full time Women % Part time Women Number Part time
All 89 14,143,200 11 1,790,900 60 8,742,100 40 5,714,300
Asian 85 1,054,400 15 180,400 62 556,200 38 346,900
Black 84 393,100 16 74,500 63 329,000 37 195,400
Mixed 85 157,000 15 26,800 63 114,300 37 68,400
White 89 12,288,600 11 1,461,300 60 7,604,600 40 5,014,600
Other 84 243,700 16 46,300 60 132,300 40 87,400

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

Summary of Full time and part time employment By ethnicity and gender Summary

The data shows that, among people in employment:

  • men were more likely to work full time than women in all ethnic groups

  • White men (89%) were more likely to work full time than men from the Asian (85%), Black (84%) and Other (84%) ethnic groups

  • among women, no particular ethnic group was more likely to work full time than the others

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

Employment by Full-time and Part-time - Spreadsheet (csv) 1 MB

This file contains the following: Measure, Employment_type, Ethnicity, Ethnicity_type, Time, Time_Type, Region, Gender, Value, Value_type, Confidence_interval, Numerator, Denominator, Sample_size