Sudan was the country with the highest NEET rate (people not in education, employment, or training) among youth worldwide between 2022 and 2024, reaching almost **********************. Africa was the world region with the highest NEET rate.

The Netherlands was the country with the lowest NEET rate (people not in education, employment, or training) among youth worldwide as of 2023, reaching **** percent, with Ireland significantly behind. Europe and Central Asia were the world regions with the lowest youth NEET rate.

The global NEET rate (people not in education, employment, or training) among youth was highest in Arab States, with around ********* neither in education, employment, nor training. On the other hand, the NEET rate among youth in Europe and Central Asia was ***** percent.

In Europe, Türkiye and Bosnia and Herzegovina had the largest share of young population neither in employment nor in education and training (NEET) in 2023. In *******, ** percent of people aged 15 to 34 years were NEET, while in Bosnia and Herzegovina they added up to ** percent. Among member states of the European Union, Austria had the largest NEET population. In 2023, one young Austrian out of 5 was neither in employment nor in education and training.

Young persons neither in employment nor in education and training by country of birth (NEET rates)

In 2024, Afghanistran had an estimated share of youth not in education, employment or training (NEET) of approximately **** percent. In comparison, Japan's share of youth NEET was estimated at ***** percent.

The folder 'population by educational attainment level (edat1)' presents data on the highest level of education successfully completed by the individuals of a given population.

The folder 'transition from education to work (edatt)' covers data on young people neither in employment nor in education and training – NEET, early leavers from education and training and the labour status of young people by years since completion of highest level of education.

The data shown are calculated as annual averages of quarterly EU Labour Force Survey data (EU-LFS).

Up to the reference year 2008, the data source (EU-LFS) is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following:

• correction of the main breaks in the LFS series,
• estimation of the missing values, i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU-LFS data with reference to the available quarter(s).

Details on the adjustments are available in CIRCABC.

The adjustments are applied in the following online tables:

• Population by educational attainment level (edat1)

- Population by educational attainment level, sex and age (%) - main indicators (edat_lfse_03)
- Population by educational attainment level, sex and NUTS 2 regions (%) (edat_lfse_04)

(Other tables shown in the folder 'population by educational attainment level (edat1)' are not adjusted and therefore the results in these tables might differ).

• Young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0) – all tables
• Early leavers from education and training (edatt1) – all tables
• Labour status of young people by years since completion of highest level of education (edatt2) – all tables

LFS ad-hoc module data available in the folder 'transition from education to work (edatt)' are not adjusted.

The folder 'young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0)' also presents one table with quarterly NEET data (lfsi_neet_q). Deviating from the NEET indicator calculation as provided in 3.4, the denominator in this table with quarterly data is the total population of the same age group and sex which explains differences in results. For further information, see the ESMS on 'LFS main indicators'.

Analysis of ‘Young people neither in employment nor in education and training by sex, age, country of birth and NUTS 2 regions (NEET rates)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://data.europa.eu/data/datasets/cwnmeehtbc9o3t6mazbgw on 11 September 2021.

--- No further description of dataset provided by original source ---

--- Original source retains full ownership of the source dataset ---

Young people neither in employment nor in education and training by sex, age and country of birth (NEET rates)

The global NEET rate (people not in education, employment, or training) among youth decreased from 2005 to 2012, before stabilizing since. In 2023, it stood at **** percent of youth between 15 and 24 years that were neither in education, employment, nor training.

Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data was reported at 7.456 % in 2023. This records an increase from the previous number of 6.798 % for 2022. Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data is updated yearly, averaging 8.178 % from Dec 1983 (Median) to 2023, with 41 observations. The data reached an all-time high of 51.978 % in 1995 and a record low of 5.607 % in 2019. Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

As of 2023, ***** had the highest NEET rate (people not in education, employment, or training) among young women, reaching over ** percent. On the other hand, ***** had the lowest female youth NEET rate of the G20 members. It also had the lowest male youth NEET rate, whereas ************ had the highest among men.

Djibouti DJ: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data was reported at 17.582 % in 2017. Djibouti DJ: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data is updated yearly, averaging 17.582 % from Dec 2017 (Median) to 2017, with 1 observations. The data reached an all-time high of 17.582 % in 2017 and a record low of 17.582 % in 2017. Djibouti DJ: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Djibouti – Table DJ.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

Young persons neither in employment nor in education and training by country of birth (NEET rates) Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

The folder 'population by educational attainment level (edat1)' presents data on the highest level of education successfully completed by the individuals of a given population.

The folder 'transition from education to work (edatt)' covers data on young people neither in employment nor in education and training – NEET, early leavers from education and training and the labour status of young people by years since completion of highest level of education.

The data shown are calculated as annual averages of quarterly EU Labour Force Survey data (EU-LFS).

Up to the reference year 2008, the data source (EU-LFS) is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following:

• correction of the main breaks in the LFS series,
• estimation of the missing values, i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU-LFS data with reference to the available quarter(s).

Details on the adjustments are available in CIRCABC.

The adjustments are applied in the following online tables:

• Population by educational attainment level (edat1)

- Population by educational attainment level, sex and age (%) - main indicators (edat_lfse_03)
- Population by educational attainment level, sex and NUTS 2 regions (%) (edat_lfse_04)

(Other tables shown in the folder 'population by educational attainment level (edat1)' are not adjusted and therefore the results in these tables might differ).

• Young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0) – all tables
• Early leavers from education and training (edatt1) – all tables
• Labour status of young people by years since completion of highest level of education (edatt2) – all tables

LFS ad-hoc module data available in the folder 'transition from education to work (edatt)' are not adjusted.

The folder 'young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0)' also presents one table with quarterly NEET data (lfsi_neet_q). Deviating from the NEET indicator calculation as provided in 3.4, the denominator in this table with quarterly data is the total population of the same age group and sex which explains differences in results. For further information, see the ESMS on 'LFS main indicators'.

In 2023, more than **** percent of ** to 29-year-olds in Finland were neither in education, employment nor training (NEET), the highest of the five Nordic countries. On the other hand, the NEET rate in Sweden and Iceland was only below *** percent, the lowest of the five countries.

The folder 'population by educational attainment level (edat1)' presents data on the highest level of education successfully completed by the individuals of a given population.

The folder 'transition from education to work (edatt)' covers data on young people neither in employment nor in education and training – NEET, early leavers from education and training and the labour status of young people by years since completion of highest level of education.

The data shown are calculated as annual averages of quarterly EU Labour Force Survey data (EU-LFS).

Up to the reference year 2008, the data source (EU-LFS) is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following:

• correction of the main breaks in the LFS series,
• estimation of the missing values, i.e. in case of missing quarters, annual results and EU aggregates are estimated using adjusted quarterly national labour force survey data or interpolations of the EU-LFS data with reference to the available quarter(s).

Details on the adjustments are available in CIRCABC.

The adjustments are applied in the following online tables:

• Population by educational attainment level (edat1)

- Population by educational attainment level, sex and age (%) - main indicators (edat_lfse_03)
- Population by educational attainment level, sex and NUTS 2 regions (%) (edat_lfse_04)

(Other tables shown in the folder 'population by educational attainment level (edat1)' are not adjusted and therefore the results in these tables might differ).

• Young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0) – all tables
• Early leavers from education and training (edatt1) – all tables
• Labour status of young people by years since completion of highest level of education (edatt2) – all tables

LFS ad-hoc module data available in the folder 'transition from education to work (edatt)' are not adjusted.

The folder 'young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0)' also presents one table with quarterly NEET data (lfsi_neet_q). Deviating from the NEET indicator calculation as provided in 3.4, the denominator in this table with quarterly data is the total population of the same age group and sex which explains differences in results. For further information, see the ESMS on 'LFS main indicators'.

The 'LFS main indicators' section presents a selection of the main statistics on the labour market. They encompass indicators of activity, employment and unemployment. Those indicators are based on the results of the European Labour Force Survey (EU-LFS), in few cases integrated with data sources like national accounts employment or registered unemployment. As a result of the application of adjustments, corrections and reconciliation of EU Labour Force Survey (EU-LFS) data, the 'LFS main indicators' is the most complete and reliable collection of employment and unemployment data available in the sub-domain 'Employment and unemployment'.

The EU-LFS data used for 'LFS main indicators' are, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator. The most common adjustments cover:

• estimation of missing values, i.e. in case of missing quarters, annual results and EU aggregates are estimated using interpolations of EU Labour Force Survey data with reference to the available quarter(s).
• for all quarterly indicators seasonally adjusted data are available.
• correction of the main breaks in the LFS series.

Those adjustments may produce some differences between data published under 'LFS main indicators' and 'LFS series – detailed quarterly/annual survey results', particularly for back data. For the most recent years, the different series converge, due to the implementation of a continuous quarterly survey and the improved quality of the data.

This page focuses on the 'LFS main indicators' in general. There are special pages for indicators that are listed below:

• Monthly Unemployment: une_rt_m.

Quarterly and annual unemployment figures are derived in line with all other LFS Main Indciators, and no longer aggregated from monthly unemployment series.

• Duration of working life - annual data: lfsi_dwl_a;
• Population in jobless households - annual data: lfsi_jhh_a;
• Labour market transitions - LFS longitudinal data: lfsi_long.

The entry of the new Framework regulation on Social Statistics (IESS) in 2021 created changes in the LFS Main Indicators. Most countries expected breaks for a number of series derived from LFS microdata, therefore Eurostat and participating countries launched a joint break correction exercise to produce comparable data before and under IESS. The 'LFS main indicators' section therefore contains two type of datasets depending on the underlying regulation. The first type of datasets are historical series under the pre-IESS regulation, and include the suffix ‘_h’ for historical series at the end of the table titles. Historical series will remain accessible and are continued until 2020Q4 LFS microdata revisions of previously released EU-LFS series. Reasons for revisions are for example weight revisions due to revised weighting routines, or census revisions. The second type of datasets are new tables that are filled with data under IESS from 2021Q1 on. These tables also include the break-corrected 2009Q1-2020Q4 data that are produced in the break correction exercise. If countries send longer complete time series than starting in 2009, that data will also be used and published. Until fully back-estimated series in line with IESS are available for all countries, EU and EA aggregates were based on the data that is available at the time and was flagged with a break flag. Fully break-free EU and EA aggregates were published for the first time in February 2022. More information can be found on the EU-LFS Breaks in Time Series (Statistics Explained) webpage.

General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metadata. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.

The percentage of 16 to 18 year olds who are not in education, employment or training (NEET).

Source: Department for Children Schools and Families (DCSF): Pupil Annual School Level Census (PLASC)

Publisher: DCLG Floor Targets Interactive

Geographies: County/Unitary Authority, Government Office Region (GOR), National

Geographic coverage: England

Time coverage: 2005/06, 2008

Type of data: Administrative data

Notes: Data are collected monthly. However, this indicator and NEET targets use an annual result which is based on three one month snapshots at the end of November, December and January each year. Data relates to young people who were aged 16-18 on the day of the count. Young people aged 16 to 18 years are counted as either: Education, employment or training (EET) if they are in 1) Education (Including gap year students who have an agreed deferred HE entry date) 2) Government supported training; 3) Employment. Young People are Not in education, employment or training (NEET) if they are not engaged in one of the EET activities above, including those: 1) Undertaking a personal development opportunity, voluntary work or activity agreement 2) Seeking or waiting to start work or learning 3) Not yet ready for work or learning 4)Not available to the labour market (including those experiencing ill health, caring for a child, or out of the country). Neither EET or NEET if they are: 1) currently residing in a custodial institution 2) a refugee or asylum seeker who has not yet been granted citizenship. Young people neither EET or NEET are excluded from the calculation. Current situation not known if: 1) their current situation is not known 2) they cannot be contacted 3) they refuse to disclose their current activity 4) their records are no longer current

Молодые люди, не имеющие работы, а также образования и профессиональной подготовки, в разбивке по полу, возрасту и стране рождения (показатели NEET). Период сбора данных: 2004 - 2024 гг. Количество наблюдений: 94 433. Код набора данных: EDAT_LFSE_28. Тип: НАБОР ДАННЫХ. Последнее обновление данных: 2024-06-13T23:00:00+0200. Последнее структурное изменение: 2024-04-24T23:00:00+0200. Young people neither in employment nor in education and training by sex, age and country of birth (NEET rates). Data period: 2004 - 2024. Number of observations: 94,433. Dataset code: EDAT_LFSE_28. Type: DATASET. Last data update: 2024-06-13T23:00:00+0200. Last structural change: 2024-04-24T23:00:00+0200.