Employment by sector
This page contains a factual mistake
1. Main facts and figures
- 30.2% of workers in the UK worked in the public administration, education and health sector in 2018 – the highest percentage out of all sectors
- the public administration, education and health sector employed the highest percentage of workers in almost every ethnic group
- the combined Pakistani and Bangladeshi ethnic group had a higher percentage of workers in the distribution, hotels and restaurants sector than any other ethnic group (30.7%)
The ethnic categories used in this data
In most cases, the figures shown on this page are for aggregated ethnic groups. For example, the Black ethnic group includes people from Black Caribbean, Black African and other Black backgrounds.
However, separate figures are shown for 3 different Asian ethnic groups:
- Pakistani and Bangladeshi (combined)
- Asian Other
This reflects the different employment related outcomes between different Asian ethnic groups.
It is also consistent with other official labour market statistics published by Nomis.
Separate figures are also shown for 2 different White ethnic groups:
- White British
- White Other
2. By ethnicity
|Industry||All||Asian||Indian||Pakistani, Bangladeshi||Asian Other||Black||Mixed||White||White British||White Other||Other|
|Agriculture, forestry and fishing||1.1||0.1||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||withheld because a small sample size makes it unreliable||1.2||1.3||0.8||0.3|
|Banking and finance||17.5||18.1||20.5||14.6||19.0||16.7||20.1||17.4||17.1||19.5||20.9|
|Distribution, hotels and restaurants||18.2||24.2||18.6||30.7||24.7||14.9||20.4||17.8||17.5||19.9||23.7|
|Energy and water||1.7||0.7||0.8||0.6||0.7||0.9||0.7||1.9||2.0||1.3||1.1|
|Public admin, education and health||30.2||27.5||26.8||25.2||31.7||43.6||28.3||30.1||31.0||22.6||22.5|
|Transport and communication||9.1||16.1||17.7||17.8||11.1||9.7||10.3||8.4||8.1||11.3||12.4|
Summary of Employment by sector By ethnicity Summary
The Annual Population Survey (APS) is a continuous household survey. Most people are interviewed in person first and later by telephone.
The APS contains 12 months of survey data. It combines data from 4 successive quarters of the Labour Force Survey (LFS) with rolling-year data from the local labour force surveys for England, Wales and Scotland.
The sample size is approximately 320,000 respondents.
Confidence intervals are available if you download the data. These give an indication of the range in which the true population value is likely to be, which is within the lower and upper range of the interval 95% of the time. Read more about how confidence intervals are used to judge the reliability of survey data.
Weighting is used to adjust the results of a survey to make them representative of the population and make them more reliable. All APS and LFS analysis is weighted using 2018 population estimates.
For example, a survey of 25 women and 75 men will not accurately reflect the views of the general population, which is around 50% male and 50% female.
The weighting for this data is based on Office for National Statistics population statistics.
Suppression rules and disclosure control
Data is not shown for estimates and confidence intervals where the number of respondents is smaller than 3.
‘Suppression’ means these figures have not been included in the data, to protect confidentiality and because the numbers involved are too small to draw any reliable conclusions.
Percentages have been rounded to 1 decimal point. This means some totals may not add up to 100%.
Count estimates have been rounded to the nearest hundred and therefore the group 'All' may not be the sum of all ethnic groups combined.
4. Data sources
Type of data
Administrative and survey data
Type of statistic
Department for Business, Energy & Industrial Strategy
Purpose of data source
The Start Up Loans Company’s administrative data is used to monitor the success of Start Up Loans in reaching disadvantaged groups.
5. Download the data
This file contains the following: ethnicity, year, value, denominator, numerator, confidence intervals