Young people not in education, employment or training (NEET), UK: August 2025

• Estimates from January to March 2025 include the full effect of the improvements in Labour Force Survey (LFS) data collection and sampling methods introduced from January 2024; however, estimates may be subject to the effect of further ongoing improvements.
• An increased amount of volatility will remain in the estimates from mid-2023 and throughout 2024, so we would advise caution when interpreting change involving those periods.
• Estimates such as young people not in employment, education or training (NEET) will likely continue to see greater volatility compared with more aggregated measures because of smaller population subgroups compared with the headline rates, despite improved sample sizes.
• LFS estimates are weighted to 2022 mid-year population estimates for periods from January to March 2019; the number of young people aged 16 to 24 years NEET estimates have a discontinuity at this point.
• There was an increase in the number of young people aged 16 to 24 years NEET in April to June 2025; the total is currently estimated to be 948,000, up from 923,000 in January to March 2025.

Increased volatility of Labour Force survey (LFS) estimates, resulting from smaller achieved sample sizes, means that estimates of change should be treated with additional caution.

Alongside the labour market publication in May 2025, we published our Labour Force Survey quality update article, which included coherence between LFS measures and other related data sources. The timing of this quality article coincided with the first period of data incorporating the full impact of some of the larger changes made from January 2024, now fully reflected in estimates from January to March 2025. The article provides information about current response rates, trends and known biases in LFS data and provides users with information to better understand the current quality of the data.

As stated in our quality update article, detailed estimates will continue to see greater volatility compared with more aggregated measures. However, this has always been a feature of LFS-based analysis. The lower achieved response level for the latest period, compared with before the coronavirus (COVID-19) pandemic, will make this volatility more acute.

For example, we can consider estimates of redundancies or estimates of young people not in employment, education or training. Both concepts focus on much smaller population subgroups compared with the headline rates and therefore are more vulnerable to the effects of higher sampling variability, despite improved sample sizes.

An estimated 12.8% of all people aged 16 to 24 years in the UK were not in education, employment or training (NEET) in April to June 2025. This is up 0.3 percentage points compared with January to March 2025 and up 0.1 percentage points on the year.

An estimated 13.1% of young men (down 0.1 percentage points on the quarter) and 12.4% of young women (up 0.7 percentage points on the quarter) were NEET.

There were 948,000 young people who were NEET in total, an increase of 24,000 on the quarter. This increase was largely caused by young women, with an increase of 25,000 on the quarter, while young men saw a decrease of 1,000. Of the total number of young people who were NEET, 497,000 were young men and 450,000 were young women.

The total number of people aged 18 to 24 years who were NEET was 873,000, up 18,000 on the previous quarter.

The percentage of all those aged 18 to 24 years who were NEET was 15.0%, which again was up 0.3 percentage points on the quarter and up 0.1 percentage points on the year.

Unemployed young people who were not in education, employment or training

There was an estimated 365,000 young people NEET aged 16 to 24 years who were unemployed in April to June 2025. This was up 10,000 from January to March 2025, and up 20,000 from April to June 2024.

An estimated 224,000 of these unemployed young people NEET were young men, and 140,000 were young women. The number of NEET men aged 16 to 24 years who were unemployed decreased by 5,000 from January to March 2025, while the number of NEET women aged 16 to 24 years who were unemployed increased by 15,000 on the quarter.

Economically inactive young people who were not in education, employment or training

There was an estimated 583,000 economically inactive young people aged 16 to 24 years who were NEET in April to June 2025. This was up 14,000 on the quarter from January to March 2025, and up 6,000 on the year from April to June 2024.

The number of young men who were NEET and economically inactive was 273,000 and the corresponding number of young women was 310,000. The total increase of 14,000 on the quarter was largely caused by young women, who saw an increase of 10,000 from January to March 2025, while young men aged 16 to 24 years who were NEET and economically inactive increased by 4,000.

Subnational not in education, employment or training (NEET) estimates

We do not publish subnational estimates for people who are NEET. These estimates can be accessed by following the links in Section 7: Related links.

Young people

For this release, young people are defined as those aged 16 to 24 years. Estimates are also produced for the age groups 16 to 17 years and 18 to 24 years by sex, and separately for the age groups 18 to 20 years, 21 to 22 years and 23 to 24 years.

Education and training

People are considered to be in education or training if they:

• are enrolled on an education course and are still attending or waiting for term to start or restart
• are doing an apprenticeship
• are on a government-supported employment or training programme
• are working or studying towards a qualification
• have had job-related training or education in the last four weeks

Young people not in education, employment or training (NEET)

Anybody who is not in any of the forms of education or training previously listed and not in employment is considered to be NEET. As a result, a person identified as NEET will always be either unemployed or economically inactive.

Economic inactivity

People not in the labour force (also known as economically inactive) are not in employment, but do not meet the internationally accepted definition of unemployment because they have not been seeking work within the last four weeks and/or they are unable to start work in the next two weeks.

Employment

Employment measures the number of people in paid work, or those 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.

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.

A more detailed glossary is available in our guide to Labour Market Statistics.

This statistical bulletin contains estimates for young people who were not in education, employment or training (NEET) in the UK. The bulletin is published quarterly in February or March, May, August and November. All estimates discussed in this statistical bulletin are for the UK and are seasonally adjusted.

Statistics in this bulletin are used to help monitor progress towards the Sustainable Development Goals (SDGs). Explore the UK data on our SDGs reporting platform.

Background information that explains how missing information for identifying someone as NEET is appropriated based on individual characteristics can be found in our Young people not in education, employment or training (NEET), UK: May 2022 methodology.

In this bulletin, Labour Force Survey (LFS) data have been revised back to January to March 2019 because of a seasonal adjustment review.

Official statistics in development

These statistics are labelled as "official statistics in development". Until September 2023, these were called "experimental statistics". Read more about the change in our Guide to official statistics in development.

The ongoing challenges with response rates and levels mean that LFS based labour market statistics are now badged as official statistics in development until further review. This is also in line with the letter from the Office for Statistics Regulation (OSR), stating that LFS statistics should not be published as accredited official statistics until OSR has reviewed them.

We are continuing to improve the quality of the LFS, building on our work to date. The achieved sample, including imputed cases (the dataset size), has increased from 69,847 individuals in January to March 2025, to 74,186 individuals in April to June 2025. This is shown in our LFS performance and quality monitoring report: April to June 2025 methodology. With this work ongoing, we advise caution particularly when interpreting change in the LFS and encourage users to make use of a wide range of data sources where possible.

We are transforming how we collect and produce the LFS data to improve the quality of these statistics. Our Labour market transformation – update on progress and plans: July 2025 article provides an update on the transformation of labour market statistics.

More quality and methodology information on strengths, limitations, appropriate uses, and how the data were created is available in our Labour Force Survey quality and methodology information (QMI) report.

The Office for National Statistics (ONS) is responsible for NEET statistics for the UK, published within this release. Estimates of the number of young people who are NEET within the countries of the UK and for subnational areas are the responsibility of the Department for Education for England, and the devolved governments for each of the other countries. There is further information on the availability of subnational estimates of young people who are NEET in Section 7: Related links.

Coronavirus (COVID-19)

Read more about how the labour market data sources are affected by the coronavirus (COVID-19) pandemic in our Coronavirus and the effects on UK labour market statistics article.

For a comparison of our labour market data sources and the main differences, read our Comparison of our labour market data sources methodology.

Relationship to other labour market statistics for young people

Our monthly Labour market overview statistical bulletin includes the dataset A06: Educational status and labour market status for people aged from 16 to 24. The NEET statistics and the dataset A06 statistics are both derived from the LFS and use the same labour market statuses; however, the educational statuses are derived differently.

For dataset A06, the educational status is based on participation in full-time education only. For NEET statistics, the educational status is based on any form of education or training. Therefore, the dataset A06 category "not in full-time education" includes some people who are in part-time education and/or some form of training and who, consequently, should not be regarded as NEET.

Making our published spreadsheets accessible

Following the Government Statistical Service (GSS) guidance on releasing statistics in speadsheets, 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, we will initially publish the tables in both the new and current formats. If you have any questions or comments, please email labour.market@ons.gov.uk.

Strengths and limitations

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 and not precise figures. This can have an impact on how changes in the estimates should be interpreted. For more information on sampling, see Section 2 of our Uncertainty and how we measure it for our surveys methodology.

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 quarters 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.

Our Sampling variability for estimates of young people not in education, employment or training (NEET) dataset shows sampling variabilities for estimates of young people who are NEET derived from the LFS.