Employment in the UK: April 2023

Estimates of employment, unemployment and economic inactivity for the UK.

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Contact:
Email Bob Watson

Release date:
18 April 2023

Next release:
16 May 2023

2. Main points

  • December 2022 to February 2023 estimates show increases in the employment rate and the unemployment rate compared with the previous three-month period (September to November 2022), while the economic inactivity rate decreased.
  • Total hours worked increased, compared with the previous three-month period, but remain below pre-coronavirus (COVID-19) pandemic levels.
  • The UK employment rate was estimated at 75.8%, 0.2 percentage points higher than the previous three-month period and 0.8 percentage points lower than before the pandemic (December 2019 to February 2020).
  • The UK unemployment rate was estimated at 3.8%, 0.1 percentage points higher than the previous three-month period and 0.2 percentage points below pre-pandemic levels.
  • The UK economic inactivity rate was estimated at 21.1%, 0.4 percentage points lower than the previous three-month period and 0.9 percentage points higher than before the pandemic.
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3. Coronavirus (COVID-19) and measuring the labour market

Latest Labour Force Survey (LFS) estimates are based on interviews that took place from December 2022 to February 2023.

Because of coronavirus (COVID-19) and the suspension of face-to-face interviewing, we had to make operational changes to the LFS, which moved to a by-telephone approach. This introduced an increased non-response bias to the survey, which was partially mitigated by the introduction of housing tenure-based weights into the survey in October 2020, as detailed in our Coronavirus and its impact on the Labour Force Survey article.

However, it was acknowledged that further improvement work was required to deal with the increase in non-response from people with a non-UK country of birth or nationality. As a result, we introduced a new weighting methodology in July 2021. Further information is available in our Impact of reweighting on Labour Force Survey key indicators, UK: 2022 article.

The population totals used for the latest LFS estimates use projected growth rates from RTI data for EU and non-EU populations, based on 2021 patterns. As a result, the total population used for the LFS does not account for any changes in migration, birth rates, death rates etc. since June 2021. Therefore, levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

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4. Summary

Figure 1: December 2022 to February 2023 estimates show increases in the employment and unemployment rates, while the economic inactivity rate decreased

UK employment, unemployment, and economic inactivity rates, seasonally adjusted, between December 2007 to February 2008 and December 2022 to February 2023

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During the first year of the coronavirus (COVID-19) pandemic, there was a decrease in the employment rate and increases in the economic inactivity and unemployment rates for both men and women. However, Figure 2 shows that the unemployment rates for both men and women have now returned to levels similar to those seen before the coronavirus pandemic.

In the latest three-month period, the increase in the employment rate and the decrease in economic inactivity rate were largely driven by men, while the increase in the unemployment rate was largely driven by women.

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5. Employment

Following an increase in the employment rate since early 2012, the rate decreased from the start of the coronavirus (COVID-19) pandemic. There has largely been an increase since the end of 2020, and the employment rate increased during the latest three-month period. For more information about employment rates, see our Guide to labour market statistics methodology.

The number of full-time employees decreased during the latest three-month period but are still above pre-pandemic levels. Part-time employees had generally been decreasing since the beginning of 2022; however, they saw an increase during the latest three-month period. The number of self-employed workers fell in the first year of the pandemic. However, Figure 3 shows that both full-time and part-time self-employed workers have increased in the latest three-month period, with the number of part-time self-employed workers now above pre-pandemic levels.

The number of people in employment with second jobs fell in the early stages of the pandemic. It has been steadily increasing since, but has fallen during the latest three-month period to 1.22 million (3.7% of people in employment).

Hours worked

Total actual weekly hours worked in the UK have been generally increasing since the relaxation of coronavirus lockdown measures. This was followed by a slight decrease since April to June 2022. In the latest three-month period, total actual weekly hours worked increased by 15.8 million hours to 1.05 billion hours in December 2022 to February 2023, as detailed in Figure 4. This is 1.7 million hours below pre-coronavirus pandemic levels (December 2019 to February 2020). For more information about hours worked, see our Guide to labour market statistics methodology.

The increase in the latest three-month period was largely driven by men, who remain below pre-pandemic levels. Total actual weekly hours worked by women also increased, and are above pre-pandemic levels.

After falling sharply in the early stages of the pandemic, average actual weekly hours worked have now returned to levels similar to those seen before the pandemic and increased in the latest three-month period. The shortfall in total actual weekly hours, compared with pre-coronavirus pandemic levels, is therefore largely the result of fewer people in employment. The actual weekly hours worked has recently been affected by additional bank holidays in the summer and autumn and strikes in recent periods.

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6. Unemployment

The unemployment rate had generally been falling since late 2013 until the start of the coronavirus (COVID-19) pandemic. It increased until the end of 2020, but has now returned to pre-coronavirus pandemic levels. Over the latest three-month period, the unemployment rate increased. For more information about unemployment, see our Guide to labour market statistics methodology.

In the latest three-month period, the number of people unemployed for up to 6 months and for over 12 months increased, compared with the previous three-month period. Meanwhile, Figure 5 shows that people unemployed between 6 to 12 months decreased in the latest period.

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7. Economic inactivity

Since comparable records began in 1971, the economic inactivity rate had generally been falling; however, it increased during the coronavirus (COVID-19) pandemic. It decreased in December 2022 to February 2023, compared with the previous three-month period. For more information about economic inactivity, see our Guide to labour market statistics methodology.

Increases in economic inactivity in the first year of the coronavirus pandemic were largely driven by people aged 16 to 24 years, while more recent increases were driven by those aged 50 to 64 years. While all age groups contributed to the decrease in the latest three-month period (December 2022 to February 2023), it was largely driven by people aged 16 to 24 years.

Figure 7 shows the increase in economic inactivity since the start of the coronavirus pandemic had been largely driven by people who were students and the long-term sick.

The decrease in economic inactivity during the latest three-month period (December 2022 to February 2023) was largely driven by people inactive because they were students. Meanwhile, people inactive because of long-term sickness increased to a record high.

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8. Redundancies

Figure 8 shows that, in December 2022 to February 2023, the number of people reporting redundancy in the three months prior to interview decreased by 0.3 per thousand employees, compared with the previous three-month period, to 3.2 per thousand employees.

We are now also publishing a dataset showing HR1 potential redundancies, covering people notified by employers to the Insolvency Service through the HR1 form, broken down by region and industry.

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9. Employment in the UK data

Employment, unemployment and economic inactivity by age group (seasonally adjusted)
Dataset A05 SA | Released 18 April 2023
Employment, unemployment and economic inactivity levels and rates by age group, UK, rolling three-monthly figures, seasonally adjusted. Labour Force Survey.

Full-time, part-time and temporary workers (seasonally adjusted)
Dataset EMP01 SA | Released 18 April 2023
Full-time, part-time and temporary workers, by sex, UK, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey.

Actual weekly hours worked (seasonally adjusted)
Dataset HOUR01 SA | Released 18 April 2023
Actual weekly hours worked (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households.

Unemployment by age and duration (seasonally adjusted)
Dataset UNEM01 SA | Released 18 April 2023
Unemployment by age and duration (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households.

Economic inactivity by reason (seasonally adjusted)
Dataset INAC01 SA | Released 18 April 2023
Economic inactivity (aged 16 to 64 years) by reason (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households.

Impact of LFS reweighting on key Labour Force Survey indicators
Dataset X08 | Released 14 June 2022
This table includes estimates of key LFS indicators using both old and new weighting methodology, and the revisions between the two series.

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10. Glossary

Actual and usual hours worked

Statistics for usual hours worked, detailed in our Guide to labour market statistics methodology, measure how many hours people usually work per week. Compared with actual hours worked, they are not affected by absences and so can provide a better measure of normal working patterns. For example, a person who usually works 37 hours a week but who was on holiday for a week would be recorded as working zero actual hours for that week, while usual hours would be recorded as 37 hours.

Workers temporarily absent from a job as a result of the coronavirus (COVID-19) pandemic would still be classed as employed; however, they would be employed working no hours. This has directly affected estimates of total actual hours worked during the coronavirus pandemic. Since the average actual weekly hours are the average of all in employment, people temporarily absent from a job also affected these estimates.

Claimant Count

The Claimant Count is an experimental statistic (see our Guide to experimental statistics methodology) that measures the number of people who are receiving a benefit principally for the reason of being unemployed. Currently, the Claimant Count consists of poeple receiving Jobseekers' Allowance and Univeral Credit claimants in the "searching for work" conditionality group.

Economic inactivity

People not in the labour force (also known as economically inactive in our Guide to labour market statistics methodology) are not in employment but do not meet the internationally accepted definition of unemployment. This is because they have not been seeking work within the last four weeks or are unable to start work in the next two weeks. The economic inactivity rate is the proportion of people aged between 16 and 64 years who are not in the labour force.

Employment

Employment measures the number of people in paid work or who had a job that they were temporarily away from (for example, because they were on holiday or off sick). This differs from the number of jobs, because some people have more than one job. The employment rate is the proportion of people aged between 16 and 64 years who are in employment.

Workers furloughed under the Coronavirus Job Retention Scheme (CJRS), or those who were self-employed but temporarily not in work, had a reasonable expectation of returning to their jobs after a temporary period of absence. Therefore, they were classified as employed under the International Labour Organization (ILO) definition.

A more detailed explanation is available in our Guide to labour market statistics methodology.

Redundancies

The redundancy estimates measure the number of people who were made redundant, or who took voluntary redundancy in the three months before the Labour Force Survey interviews. It does not take into consideration planned redundancies.

Unemployment

Unemployment measures people without a job who have been actively seeking work within the last four weeks and are available to start work within the next two weeks. The unemployment rate is not the proportion of the total population that is unemployed. It is the proportion of the economically active population (that is, people in work plus people seeking and available to work) that is unemployed.

A more detailed glossary is available in our Guide to labour market statistics methodology.

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11. Measuring the data

This bulletin relies on data collected from the Labour Force Survey (LFS), the largest household survey in the UK.

More quality and methodology information on strengths, limitations, appropriate uses, and how the data were created is available in our LFS Quality and Methodology Information (QMI) report.

The LFS performance and quality monitoring reports provide data on response rates and other quality-related issues for the LFS.

Coronavirus (COVID-19)

View more information on how labour market data sources are affected by the coronavirus pandemic.

View a comparison of our labour market data sources and the main differences.

Making our published spreadsheets accessible

Following the Government Statistical Service (GSS) guidance on Releasing statistics in spreadsheets, we will be amending our published tables over the coming months to improve usability, accessibility and machine readability of our published statistics. To help users change to the new formats, we will be publishing sample versions of a selection of our tables and, where practical, initially publish the tables in both the new and current formats. If you have any questions or comments, please email us at labour.market@ons.gov.uk.

Occupational data in Office for National Statistics (ONS) surveys

The ONS has identified an issue with the collection of some occupational data in a number of our surveys, including the LFS and Annual Population Survey (APS), which are used in the production of the labour market publication. While we estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classifications (SOC)) occupations, and data derived from them.

On 26 September, we published an article based on The impact of miscoding of occupational data in Office for National Statistics social surveys. The ONS advises to continue exercising caution in the use of detailed SOC breakdowns until the issue has been corrected.

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12. Strengths and limitations

Uncertainty in these data

The estimates presented in this bulletin contain uncertainty. See our Uncertainty and how we measure it methodology for more information.

The figures in this bulletin come from the Labour Force Survey (LFS), which gathers information from a sample of households across the UK, rather than from the whole population. The sample is designed to be as accurate as possible, given practical limitations. Results from sample surveys are always estimates, not precise figures. This can affect how changes in the estimates should be interpreted, especially for short-term comparisons.

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The data in this bulletin come from the Labour Force Survey, a survey of households. It is not practical to survey every household each quarter, so these statistics are estimates based on a large sample.

As the sample gets smaller, the variability of the estimates gets larger. Estimates for small groups, which are based on small subsets of the LFS sample, are less reliable and tend to be more volatile than for larger aggregated groups.

In general, changes in the numbers (and especially the rates) reported in this bulletin between three-month periods are small and are not usually greater than the level that can be explained by sampling variability. Short-term movements in reported rates should be considered alongside longer-term patterns in the series and corresponding movements in other sources to give a fuller picture.

Information on the quality of estimates is available in our Labour Force Survey sampling variability table.Information on the quality of estimates is available in our our Labour Force Survey sampling variability tableLabour Force Survey sampling variability dataset.

Comparability

The data in this bulletin follow internationally accepted definitions specified by the International Labour Organization (ILO). This ensures that the estimates for the UK are comparable with those for other countries.

Our annual Reconciliation of estimates of jobs article compares the latest workforce jobs series estimates with the equivalent estimates of jobs from the LFS. It is usually published in March each year, following the benchmarking of Workforce Jobs.

Further information is available in our Guide to labour market statistics methodology.

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14. Cite this statistical bulletin

Office for National Statistical (ONS), released 18 April 2023, ONS website, statistical bulletin, Employment in the UK: April 2023

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Contact details for this Statistical bulletin

Bob Watson
labour.market@ons.gov.uk
Telephone: +44 1633 455400