Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

The statistic shows the seasonally adjusted youth unemployment rate in EU member states as of November 2024. The source defines youth unemployment as unemployment of those younger than 25 years. In November 2024, the seasonally adjusted youth unemployment rate in Spain was at 26.6 percent. Youth unemployment rate in EU member states Unemployment is a crucial economic factor for a country; youth unemployment is often examined separately because it tends to be higher than unemployment in older age groups. It comprises the unemployment figures of a country’s labor force aged 15 to 24 years old (i.e. the earliest point at which mandatory school education ends). Typically, teenagers and those in their twenties who are fresh out of education do not find jobs right away, especially if the country’s economy is experiencing difficulties, as can be seen above. Additionally, it also tends to be higher in emerging markets than in industrialized nations. Worldwide, youth unemployment figures have not changed significantly over the last decade, nor are they expected to improve in the next few years. Youth unemployment is most prevalent in the Middle East and North Africa, even though these regions report high unemployment figures regardless (Zimbabwe and Turkmenistan are among the countries with the highest unemployment rates in the world, for example), and are also highly populated areas with a rather weak infrastructure, compared to industrialized regions. In the European Union and the euro area, unemployment in general has been on the rise since 2008, which is due to the economic crisis which caused bankruptcy and financial trouble for many employers, and thus led to considerable job loss, less job offerings, and consequently, to a rise of the unemployment rate. Older workers are struggling to find new jobs despite their experience, and young graduates are struggling to find new jobs, because they have none. All in all, the number of unemployed persons worldwide is projected to rise, this is not down to the economic crisis alone, but also the industrial automation of processes previously performed by workers, as well as rising population figures.

In Italy, the southern regions record the highest share of young people who are unemployed and not participating in an education program or vocational training (NEET). In Sicily, 28 percent of inhabitants aged 15 to 29 years were neither working nor studying. On the contrary, northern and central regions registered lower shares, below the national average. In Trentino-South Tyrol, only nine percent of young people were not actively searching for a job.

In March 2024, the youth unemployment rate in Italy was 22.8 percent. The problem of unemployment in Italy became critical in the first years of the financial crisis, which started in 2008. Although the labor market crisis seriously affected the entire Italian working population, it particularly impacted the youngest part of the labor force. Between 2008 and 2014, the share of unemployed individuals aged between 15 and 24 years increased by more than 15 percentage points. Despite a steady decline observed after 2014, youth unemployment still stood at almost 30 percent as of 2020. The effects of the 2011-2012 financial crisis: dream job versus harsh reality Newly graduated and often looking for a first job, young people are particularly vulnerable to stagnation in the labor market. Considering the difficulties in finding a job during and after the years of the financial crisis, about 48 percent of young Italians declared in 2018 that they would accept a job that does not meet their career aspiration. One fourth of the respondents stated that they would accept a monthly salary of 500 euros. Youth unemployment rate in the EU: a serious challenge for Spain and ItalyItaly was the country with the fifth-highest youth unemployment rate among the EU member states in August 2023. The country with the highest youth unemployment was Spain, where more than one out of four individuals were unemployed.

In 2023, the estimated youth unemployment rate in Nigeria was at almost 5.13 percent. According to the source, the data are estimates from the International Labour Organization, an agency of the United Nations developing policies to set labor standards. Employment in Nigeria The youth unemployment rate refers to the percentage of the unemployed in the age group of 15 to 24 years as compared to the total labor force. Youth unemployment rates are often higher than overall unemployment rates, which is true in Nigeria as well: the general rate of unemployment was approximately six percent in 2018. One reason for this contrast is that many of the youth under age 24 are studying full-time and are unavailable for work due to this. Education in Nigeria Nigeria’s population has a large percentage of young inhabitants, and there is a high demand for educational opportunities for its young populace. After severe cuts in governmental aid following a nationwide recession in 2016, Nigeria’s underfunded higher education system became the focus of ongoing student protests and strikes. Other families have taken a different approach: Nigeria is the top country of origin for international students from the continent of Africa. For example, Nigeria sent over 12,600 students to the U.S. in 2017/18, the most of any African country.

The Basque Youth Observatory is an instrument of the Basque Government that allows to have a global and permanent vision of the situation and evolution of the youth world that allows to evaluate the impact of the actions carried out in the CAPV by the different administrations in the field of youth.The Basque Youth Observatory regularly publishes more than 100 statistical indicators that can be consulted in euskadi.eus, along with other research and reports. Statistics are provided in various formats (csv, excel).

Young people from the Chinese (4.5%) and Indian (7.3%) ethnic groups were less likely than the UK average (11.5%) to be not in employment, education or training.

In 2022, around 20.3 percent of teenagers between ages 16 and 19 were employees while enrolled at school in the United States. This is an increase from the previous year, when 19.4 percent of teenagers were working while in school.

Employment rates of young people not in education and training by sex, educational attainment level, years since completion of highest level of education and degree of urbanisation

Unemployment rates of 25- to 29-year-olds, by educational attainment, Canada and jurisdictions. This table is included in Section E: Transitions and outcomes: Labour market outcomes of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

The paper deals with the potential relationship between higher education and entrepreneurial activities. Universities and other higher education institutions could be seen as boosting entrepreneurship in the region. University graduates could be more often involved in starting up a new business and the university itself could commercialize their innovations by creating academic spin-off companies. The paper aims to examine the potential effect of higher education on the probability of starting a business as well as its further success. Based on the data for 40 EU and non-EU countries, retrieved from a Eurobarometer survey, we conducted probit and IV probit regressions. These have tested the assumed relationship between higher education and entrepreneurial activities. Our results strongly suggest that higher education can often be very beneficial for starting up a new business and this seems to be one of the factors determining the success of new businesses. Furthermore, those respondents who attended courses related to entrepreneurship appear to be more active in starting-up a business and this seems to be also positively correlated with the company's future success. Interestingly, university graduates from Brazil, Portugal and India in particular, tend to appreciate the role that their universities have played in acquiring the skills to enable them to run a business.

Youth unemployment rose sharply as a result of the Covid-19 pandemic and subsequent sector lockdowns in the UK and across the world with 18.5% of young people aged 15-24, unemployed across EU, 40% in Spain (European Parliament Study, 2021), and 14.9% in the UK (House of Commons Library, 2023). Although, the employment rates are showing some recovery, research shows that youth unemployment has delayed long-term negative impacts on future well-being, health and job satisfaction of individuals. It increases young people’s chances of being unemployed in later years and carry a wage penalty (Bell and Blanchflower, 2011). Young people (15-24 year olds) are also more likely to work part time, often not out of choice (Pay Rise Campaign 2015), are at higher risk of ‘in-work poverty’ (Hick and Lanau 2018), more likely to be employed in low-paid and insecure jobs (across OECD countries). In the UK, labour market disadvantage is coupled with the rising cost of higher education and crucially the tightening of social security conditionality through Welfare Reform (since 2012) which could be linked to a drop in eligible young people claiming welfare support (Wells 2018). A vast body of literature has emerged in the West on youth policies and the nature of welfare state (Esping-Andersen 1990; Taylor-Gooby 2004; Wallace and Bendit 2009; Pierson 2011). It, however, remains silent on the crucial question of devolution. This ESRC funded research examines the impact of devolution on welfare provision and the sub-state welfare regimes in the UK in the focused context of youth unemployment. The project is progressing in three phases (Wave 1: 2020-21 / Wave 2: 2022-23). Wave1 identified, categorised and compared scales and types of civil society involvement in youth unemployment policy between the three devolved nations of the UK: England, Scotland and Wales. In doing so examined the implications of these differences for both youth unemployment provision and devolved policy arrangements. It has provided an internationally salient analysis located in the global phenomenon of state reconfiguration, the emergence of sub-state welfare regimes and the adoption of welfare pluralism. The research found that devolved social policy in Scotland and, to a lesser extent, Wales goes some way to mitigating the work first policy approach emanating from Westminster. Crucial to this are the key points of convergence and contention between devolved (education) and non-devolved (welfare) areas of youth employment policy on the ground (Pearce and Lagana 2023). The way in which these key points of policy tension play-out in key institutional areas like Jobcentre Plus, is the focus of the second phase of project. Wave 2 focused on ground level sites of service delivery (2022-2023). Research shows that the policy structures and the perceptions of frontline staff about the policy provisions and people claiming them, shape the nature, attitudes and processes of service delivery, and have implications for service claimants and unemployment addressal (Cagliesi and Hawkes 2015; Fletcher 2011; Fletcher and Redman 2022; Rosenthal and Peccei 2006). This phase of project was a more in-depth, critical and comparative examination of the way policy plays out on the ground through a systematic investigation of the perspectives of frontline staff interacting with the young people, in the specific context of devolution. We interviewed frontline staff in England, Scotland and Wales to study how policy is perceived and translated on ground level at the sites of service delivery in these three devolved nations from the following five categories: 1). Work Coaches (Jobcentre Plus- All ages) 2). Youth Employability Coaches (Jobcentre Plus- Young People) 3). Additional Work Coaches (Youth Hubs) 4). Careers Wales / Fair Start / National Careers Service Advisers 5). Civil Society job advisers (CWVYS/Skills Development Scotland /Youth Employment UK) This research will continue to take advantage of the UK’s unique, asymmetrical devolved arrangements to address the identified gap in research examining youth (un)employment under devolved systems of governance. The broader aim is to critique the notion of 'one UK welfare state' and, in doing so, progress our understanding of the impact of decentralisation, devolution and territorial rescaling on welfare state formation across Western Europe.

Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 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 valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy

Unemployment rates of young people not in education and training by sex, educational attainment level and years since completion of highest level of education

Quarterly estimates for young people (aged 16 to 24 years) who are not in education, employment or training (NEET) in the UK. These are official statistics in development.

Approximately 24 percent of the young population between 15 and 24 years old in Angola did not work neither study between the period of March 2018 to February 2019. The rate is higher among women (27.6 percent) than men (20.4 percent).

Niger was the country with the highest NEET rate (people not in education, employment, or training) among youth worldwide as of 2023, reaching more than two thirds. Africa was the world region with the highest NEET rate.

Number and percentage of children aged 1 to 17 for selected health indicators, by household income quintile and highest level of parental education, Canada (excluding Territories) and provinces.

TD: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data was reported at 24.814 % in 2018. TD: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data is updated yearly, averaging 24.814 % from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 24.814 % in 2018 and a record low of 24.814 % in 2018. TD: 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 Chad – Table TD.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 South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.