1. Main points
For April to June 2019:
There were 792,000 young people (aged 16 to 24 years) in the UK who were not in education, employment or training (NEET); this number increased by 28,000 from January to March 2019 and was up 14,000 when compared with April to June 2018.
The percentage of all young people in the UK who were NEET was 11.5%; the proportion was up 0.4 percentage points from January to March 2019 and up 0.3 percentage points from April to June 2018.
Of all young people in the UK who were NEET, 41.6% were looking for, and available for, work and therefore classified as unemployed; the remainder were either not looking for work and/or not available for work and therefore classified as economically inactive.
2. Things you need to know about this release
This statistical bulletin contains estimates for young people not in education, employment or training (NEET) in the UK. An article providing background information (PDF, 89KB) is available. 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.
Accuracy and reliability of the survey estimates
The figures discussed in this statistical bulletin are obtained from the Labour Force Survey (a survey of households) and are therefore estimates, not precise figures. Further information is available in the quality and methodology section of this statistical bulletin.
Explanatory information
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 and by sex.
Education and training
People are considered to be in education or training if any of the following apply:
they are enrolled on an education course and are still attending or waiting for term to (re)start
they are doing an apprenticeship
they are on a government-supported employment or training programme
they are working or studying towards a qualification
they have had job-related training or education in the last four weeks
About labour market statuses
“In employment” includes all people in some form of paid work, including those working part-time. People not in employment are classed as either unemployed or economically inactive. Unemployed people are those who have been looking for work in the past four weeks and who are available to start work within the next two weeks.
Economically inactive people are those who have not been looking for work and/or who are not available to start work. Examples of economically inactive people include those not looking for work because they are looking after dependants at home. These definitions are based on those recommended by the International Labour Organisation.
Young people not in education, employment or training (NEET)
Anybody who is not in any of the forms of education or training listed previously and not in employment is considered to be NEET. Consequently, a person identified as NEET will always be either unemployed or economically inactive.
Relationship to other labour market statistics for young people
Our monthly labour market statistical bulletin includes the dataset Table A06: Educational status, economic activity and inactivity of young people. The NEET statistics and the Table A06 statistics are both derived from the Labour Force Survey and use the same labour market statuses; however, the educational statuses are derived differently.
For Table 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, as listed previously. Therefore, the Table 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.
Nôl i'r tabl cynnwys3. Total young people who were NEET
There were 792,000 young people (aged 16 to 24 years) in the UK who were not in education, employment or training (NEET) in April to June 2019. The number increased by 28,000 from January to March 2019 and was up 14,000 when compared with April to June 2018.
In April to June 2019, 11.5% of all people aged 16 to 24 years were NEET. The proportion increased by 0.4 percentage points from January to March 2019 and was up 0.3 percentage points from April to June 2018. Figure 1 shows the percentage of people aged 16 to 24 years who were NEET over the last five years. The percentage had been gradually decreasing since 2011 but, as shown in Figure 1, has been relatively flat for the last two years.
Figure 1: The percentage of people who are not in education, employment or training (NEET) has increased this quarter
People aged 16 to 24 years NEET as a percentage of all people aged 16 to 24 years, seasonally adjusted, UK, April to June 2014 to April to June 2019
Source: Labour Force Survey
Download this chart Figure 1: The percentage of people who are not in education, employment or training (NEET) has increased this quarter
Image .csv .xls4. Unemployed young people who were NEET
Unemployment measures people without a job who have been actively seeking work within the last four weeks and are available to start work in the next two weeks. For April to June 2019, there were 330,000 unemployed young people (aged 16 to 24 years) who were not in education, employment or training (NEET), up 30,000 from January to March 2019 and up 40,000 from April to June 2018.
For April to June 2019, there were:
208,000 unemployed men aged 16 to 24 years who were NEET
122,000 unemployed women aged 16 to 24 years who were NEET
5. Economically inactive young people who were NEET
Economic inactivity measures people not in employment who have not been seeking work within the last four weeks and/or are unable to start work within the next two weeks. For April to June 2019, there were 462,000 economically inactive young people (aged 16 to 24 years) who were not in education, employment or training (NEET), down 2,000 from January to March 2019 and down 25,000 from April to June 2018.
For April to June 2019, there were:
206,000 economically inactive men aged 16 to 24 years who were NEET
256,000 economically inactive women aged 16 to 24 years who were NEET
7. Quality and methodology
The Labour Force Survey (LFS) Quality and Methodology Information report contains important information on:
- the strengths and limitations of the data and how it compares with related data
- uses and users of the data
- how the output was created
- the quality of the output, including the accuracy of the data
Further information about the LFS is available from:
Accuracy of the statistics: estimating and reporting uncertainty
The figures in this statistical bulletin come from the Labour Force Survey (LFS), a survey of UK households. Surveys gather information from a sample rather than from the whole population. The sample is designed carefully to allow for this and to be as accurate as possible given practical limitations such as time and cost constraints, but results from sample surveys are always estimates, not precise figures. This means that they are subject to some uncertainty. This can have an impact on how changes in the estimates should be interpreted, especially for short-term comparisons.
We can calculate the level of uncertainty (also called “sampling variability”) around a survey estimate by exploring how that estimate would change if we were to draw many survey samples for the same time period instead of just one. This allows us to define a range around the estimate (known as a “confidence interval”) and to state how likely it is in practice that the real value that the survey is trying to measure lies within that range. Confidence intervals are typically set up so that we can be 95% sure that the true value lies within the range – in which case we refer to a “95% confidence interval”.
The total number of people not in education, employment or training (NEET) aged 16 to 24 years for April to June 2019 was estimated at 792,000. This figure had a stated 95% confidence interval of plus or minus 52,000. This means that we can be 95% confident that the true total number of people NEET aged 16 to 24 years for April to June 2019 was between 740,000 and 844,000. However, the best estimate from the survey was that the total number of people NEET aged 16 to 24 years was 792,000.
The percentage of people NEET aged 16 to 24 years for the same period was estimated at 11.5%, with a stated 95% confidence interval of plus or minus 0.7 percentage points. This means that we can be 95% confident that the percentage of people NEET was between 10.8% and 12.2%. Again, the best estimate from the survey was that the percentage of people NEET aged 16 to 24 years was 11.5%.
Working with uncertain estimates
In general, changes in the numbers (and especially the rates) reported in this statistical bulletin between three-month periods are small, and are not usually greater than the level that is explainable by sampling variability. In practice, this means that small, short-term movements in reported rates (for example, within plus or minus 0.3 percentage points) should be treated as indicative, and considered alongside medium- and long-term patterns in the series and corresponding movements in administrative sources, where available, to give a fuller picture.
Seasonal adjustment and uncertainty
Like many economic indicators, the labour market is affected by factors that tend to occur at around the same time every year; for example, school leavers entering the labour market in July and whether Easter falls in March or April. To compare movements other than annual changes in labour market statistics, such as since the previous quarter or since the previous month, the data are seasonally adjusted to remove the effects of seasonal factors and the arrangement of the calendar. Estimates discussed in this statistical bulletin are presented seasonally adjusted. While seasonal adjustment is essential to allow for robust comparisons through time, it is not possible to estimate uncertainty measures for the seasonally adjusted series.
Dataset table NEET 2 shows sampling variabilities for estimates of young people who are NEET derived from the LFS.
Nôl i'r tabl cynnwys