Employment-to-population among youth worldwide was significantly higher among men than women between 2000 and 2023. In 2023, more than 40 percent of young men were employed, compared to less than 30 percent of young women, reflecting the fact that women are still underrepresented in working life around the world, and that girls often have to help out in the household when boys are sent to school.

In the second quarter of 2025 the unemployment rate for men in the United Kingdom was 4.8 percent, while for women it was 4.5 percent. The male unemployment rates seen in late 2020 were the highest since 2015, while the rates for women reached heights last seen in 2016. During the provided time period, the unemployment rate for men peaked in Q1 1993 at 12.7 percent, while for women the unemployment rate was highest in Q2 1984 when it was 11.8 percent. Unemployment uptick to continue? The overall unemployment rate for the UK was 4.4 percent in November 2024, which was quite low but, slightly above the record low rates seen in 2022. During that year, there was also a peak in the number of job vacancies in the UK, which reached 1.3 million in May 2022. Since that point, however, the number of vacancies has been falling, and was at its lowest level since May 2021 in January 2024, at 812,000. Current forecasts for unemployment anticipate an annual rate of 4.1 percent for 2025, although this may be revised upwards in the future. Youth unemployment in the UK The unemployment rate for people in the United Kingdom is heavily associated with age. For people aged between 16 and 24 years, for example, the unemployment rate was 14.8 percent in the third quarter of 2024, compared with just 2.3 percent for those aged between 35 and 49. As with the overall unemployment rate, young men had a higher unemployment rate at 17.7 percent, compared with 11.9 percent for young women in the third quarter of 2024.

Estimates of labour market status (employment, unemployment and inactivity) for all people, men and women aged 16 to 24 by ethnicity for Quarter 4 each year from 2006 to 2011. The estimates for men and women are subject to much higher sampling variability than those for all people and should be used with caution.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Labour market status for young people by ethnicity

In 2019, the highest rate of unemployed women aged between 15 and 24 years in Italy was registered in Calabria (56 percent). On the other hand, the percentage of unemployed young men peaked in Sicily and reached the value of 51 percent.

Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) in Zimbabwe was reported at 15.38 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Zimbabwe - Unemployment, youth female (% of female labor force ages 15-24) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Since 2015, the unemployment rate of young French men and women has been steadily decreasing. While the 2008 economic crisis caused financial troubles in all EU member states, impacting companies and banks, studies have shown that the lack of follow-up and the absence of options for young people without diplomas are some of the main causes of youth unemployment in France. Younger generations are more affected by unemployment The global unemployment rate of the country increased from 2011 to 2016, and it went down to around *** percent by 2024. However, in recent years, younger generations seemed to be particularly affected by unemployment in France, while the percentage of the working population is decreasing in the country. The issue of unemployment in France France has one of the highest unemployment rates in the European Union. Workers seem to be more affected by unemployment compared to employees or managers, while long-term unemployment is more prevalent among the older generations. Thus, for years, the French government has been trying to find solutions to curb the rise in unemployment. The average monthly gross amount of benefits increased slightly since 2011, while the country spent more than ** million euros on work and employment, which was only the government’s ninth spending area that year.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Aruba AW: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 15.640 % in 2010. Aruba AW: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 15.640 % from Dec 2010 (Median) to 2010, with 1 observations. The data reached an all-time high of 15.640 % in 2010 and a record low of 15.640 % in 2010. Aruba AW: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Aruba – Table AW.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;

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

Series Name: Unemployment rate by sex and age (percent)Series Code: SL_TLF_UEMRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesTarget 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueGoal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

In Sweden, the unemployment rate was higher among men than among women over the past decade. However, in 2019, female unemployment rate was higher for the first time since 2008. In 2023, the unemployment rate among men was 7.5 percent, compared to eight for women. The general unemployment rate was 7.7 percent in 2023. High youth unemployment rateThe young population, from 15 to 19 years, had the highest rate of unemployment in 2022. In this age group, the unemployment rate was 35 percent. The second highest unemployment rate was in the age group from 20 to 24 years, reaching 14 percent. As of August 2023, Sweden had the sixth highest youth unemployment rate in the European Union.Unemployment benefits To be eligible to receive unemployment benefits in Sweden, the unemployed needs to be registered at the Swedish Public Employment Service (Arbetsförmedlingen), needs to be ready to take a job at any time, and needs to have had a job for at least six months during the last year. Nearly 228,000 individuals in Sweden received unemployment benefits (A-kassa) in 2022.

Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 10.942 % in 2020. This records an increase from the previous number of 5.980 % for 2017. Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 8.461 % from Dec 2006 (Median) to 2020, with 4 observations. The data reached an all-time high of 11.866 % in 2006 and a record low of 4.978 % in 2014. Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.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;

Benin BJ: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 16.746 % in 2022. This records a decrease from the previous number of 18.639 % for 2019. Benin BJ: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 18.639 % from Dec 2011 (Median) to 2022, with 3 observations. The data reached an all-time high of 23.181 % in 2011 and a record low of 16.746 % in 2022. Benin BJ: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.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;

Unemployment Rate in Jordan decreased to 21.30 percent in the first quarter of 2025 from 21.40 percent in the fourth quarter of 2024. This dataset provides - Jordan Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 17.370 % in 2012. This records a decrease from the previous number of 18.100 % for 2011. United States US: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 17.935 % from Dec 2009 (Median) to 2012, with 4 observations. The data reached an all-time high of 18.100 % in 2011 and a record low of 17.370 % in 2012. United States US: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: 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, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

As of the second quarter of 2025, approximately *****percent of men aged between 16 and 24 in the United Kingdom were not in education, employment or training (NEET) compared with *****percent of women in this age group.

GE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 28.672 % in 2017. This records a decrease from the previous number of 31.695 % for 2016. GE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 33.241 % from Dec 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 39.157 % in 2012 and a record low of 28.672 % in 2017. GE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.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, ILOSTAT database. Data retrieved in April 2019.; Weighted average;

Cameroon CM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 30.418 % in 2021. This records an increase from the previous number of 23.065 % for 2014. Cameroon CM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 19.966 % from Dec 2007 (Median) to 2021, with 4 observations. The data reached an all-time high of 30.418 % in 2021 and a record low of 16.050 % in 2010. Cameroon CM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.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;

Marshall Islands MH: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 42.019 % in 2021. This records a decrease from the previous number of 46.483 % for 2019. Marshall Islands MH: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 44.251 % from Dec 2019 (Median) to 2021, with 2 observations. The data reached an all-time high of 46.483 % in 2019 and a record low of 42.019 % in 2021. Marshall Islands MH: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Marshall Islands – Table MH.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;

The Labour Market Indicators spreadsheet for boroughs and regions will no longer be updated from March 2015. The final version from March 2015 will still be available to download at the bottom of this page. Most of the data is available within datasets elsewhere on the Datastore.

Workforce Jobs
Unemployment
Model based Unemployment for Boroughs
Claimant Count rates for Boroughs and Wards
Employment Rate Trends
Employment rates by Gender, Age and Disability
Number of Self Employed, Full and Part Time Employed
Employment by Occupation
Employment by Industry
Employment, Unemployment, Economic Activity and Inactivity Rates by Disability
Employment by Ethnicity
Economic Inactivity by Gender and Reason
Qualifications of Economically Active, Employed and Unemployed
Qualification levels of working-age population
Apprenticeship Starts and Achievements
Young People Not in Employment, Education or Training (NEET), Borough
19 year olds Qualified to NVQ Level 3
GCE A level examination results of 16-18 year olds
GCSE Results by Pupil Characteristics
People Claiming Out-of-Work Benefits
People Claiming Incapacity Benefit
Children Living in Workless Households
Gross Value Added, and Gross Disposable Household Income
Earnings by place of residence
Earnings by place of work
Business Demographics
Employment projections by sector
Jobs Density
Population Estimates
Population Migration

Core Indicators

Number of London residents of working age in employment
Employment rate
Number of male London residents of working age in employment
Male employment rate
Number of female London residents of working age in employment
Female employment rate
Workforce jobs
Jobs density
Number of London residents of working age who are economically inactive
Economic inactivity rate
Number of London residents aged 16+ who are unemployed (model based)
Proportion of London residents aged 16+ who are unemployed (model based)
Claimant unemployment
Claimant Count as a proportion of the working age population
Incidence of skill gaps (Numbers and rates)
GCSE (5+ A*–C) attainment including English and Maths
Number of working age people in London with no qualifications
Proportion of working age people in London with no qualifications
Number of working age people in London with Level 4+ qualifications
Proportion of working age people in London with Level 4+ qualifications
Number of people of working age claiming out of work benefits
Proportion of the working age population who claim out of work benefits
Number of young people aged 16-18 who are not in