Top 100 Countries by Youth Unemployment (15–24, %), 2025
Youth unemployment is one of the fastest-moving stress indicators in any economy. When companies slow hiring, entry-level positions usually disappear first. When growth accelerates, junior recruitment often rebounds quickly. That’s why a youth jobless rate can look “too high” or “too low” compared with the overall unemployment rate—youth are simply more exposed to the first-job barrier and the volatility of new vacancies.
This page ranks countries by youth unemployment (ages 15–24, %). In labour statistics, “unemployed” is a strict category: a person is not working, is available to start, and has been actively looking for work within a defined recent period. That definition matters especially for young people, because large shares of the 15–24 population are still in school, in vocational training, or temporarily outside the labour force for other reasons.
Read the metric correctly: the youth unemployment rate is the share of young people in the youth labour force who are jobless but actively searching. It is not the share of all youth who do not have a job.
The “2025 snapshot” format is designed for comparability across countries. In practice, international datasets update on different schedules. For this reason, the table includes a Reference year field: for most economies it will be the latest annual observation available in the source series, and for some it can be one or more years earlier when newer values are not published yet. This approach lets you compare countries consistently while staying transparent about data freshness.
If you want a fuller view of youth labour outcomes, unemployment should be paired with two complementary lenses: NEET rate (young people not in education, employment, or training) and measures of informal employment. A country can show low unemployment because many young people do some work in the informal sector—even if earnings are unstable or hours are irregular. Conversely, a country can show high unemployment even when many youth remain in education, because the labour force is smaller and active search is concentrated among graduates and urban job seekers.
- High youth unemployment often signals weak entry-level demand, slow school-to-work transition, or a first-job barrier.
- Low youth unemployment can reflect strong labour demand, but can also coexist with underemployment and informality.
- Reference year is essential: don’t compare countries blindly without checking how current each value is.
- NEET helps distinguish job search from exclusion: unemployment counts active search; NEET captures disconnection.
Indicator note: Most cross-country ranking pages use the World Bank WDI series for “Unemployment, youth total (% of total labor force ages 15–24)” (modelled ILO estimate). For country deep dives, always validate with the national statistical office’s labour force survey release.
Youth unemployment is one of the clearest stress tests for an economy’s ability to turn education into earnings. The indicator behind this ranking measures the share of the youth labour force (ages 15–24) that is without work, available for work, and actively seeking employment. It is a percentage of the youth labour force—not of all young people—so interpretation depends on how many 15–24-year-olds are actually in the labour market rather than studying full-time.
A 2025 snapshot of the youth jobless rate tells a story about the school-to-work transition, entry-level labour demand, and how well the skills supplied by education systems match what employers need. It is also a front-edge metric: when growth slows, entry-level hiring tends to freeze earlier than hiring for experienced roles. In many countries, youth unemployment moves more sharply than total unemployment because young workers are concentrated in temporary contracts, seasonal work, and sectors that react quickly to demand.
This Top 100 table is based on the World Bank WDI series “Unemployment, youth total (% of total labor force ages 15–24) (modeled ILO estimate)”. The series is designed for cross-country comparison and draws on ILOSTAT, using modelling to fill gaps where national data are missing or irregular. For each economy, the reference year indicates the latest annual observation used in this 2025 snapshot (often 2023 or 2024 rather than calendar-year 2025). That timing nuance matters when you compare countries that publish labour surveys at different speeds.
How to read the ranking (and avoid common mistakes)
Two economies can show the same youth unemployment rate for very different reasons. If many students work part-time and are counted in the labour force, the denominator is larger, which can reduce the unemployment rate even when many young people struggle to find stable work. In contrast, where most students remain outside the labour force, the denominator is smaller, and unemployment can look higher for the same number of unemployed youths. This is why youth unemployment is best read together with participation and with the NEET rate (young people not in employment, education or training).
A second trap is to treat high unemployment as a synonym for “no work”. In economies with large informal employment, many young people cycle between short spells of informal work and active job search. Measured unemployment can remain high even though many youths are not idle all the time. Conversely, a low unemployment rate can coexist with a high NEET share if many young people have stopped searching and are outside the labour force.
Youth unemployment is not simply adult unemployment, but higher. The youth labour market has frictions that keep rates elevated even when the broader economy looks stable. The first is the first-job barrier: employers often ask for experience for entry-level roles, creating a circular problem for new entrants. The second is skills mismatch: education systems may lag behind employer demand, especially in technical trades, digital roles, and job-ready soft skills. The third is geographic mismatch: jobs cluster in major cities, while young people face housing costs, transport barriers, and limited information about openings.
Sector structure matters too. Economies that rely heavily on capital-intensive extractives or a narrow set of public-sector jobs can grow without creating enough entry-level positions. In these settings, young job seekers may queue for government jobs because the private sector offers lower pay, weaker security, or informal contracts. The result is a waiting-room labour market where unemployment stays high for the young even when older workers remain employed.
Youth unemployment counts only young people in the labour force who are actively looking for work. NEET counts young people who are neither in employment nor in education or training, including both unemployed and inactive youths. That makes NEET a better lens on long-term exclusion, while unemployment is more sensitive to short-run labour-market tightness. If you want context, see StatRanker’s NEET pages: Top 10 by NEET among youth (15–24) and the Macroeconomics category.
Key takeaways for 2025
- Very high youth unemployment usually reflects a mix of weak labour demand and structural constraints (skills mismatch, sector mix, limited mobility).
- Cross-country comparisons need context because participation and NEET shares change the meaning of the headline percentage.
- Durable reductions tend to combine job creation with better matching through training, apprenticeships, and placement services.
At the high end of the ranking, youth unemployment above 30–40% is rarely only a cyclical slowdown. It often appears where private investment is weak, where the economy is dominated by a few capital-intensive sectors, or where formal employment is limited and young people compete for a small number of wage jobs. Where public wages are comparatively attractive, the rate can also reflect queuing: young people delay taking low-paid or informal work while waiting for public-sector openings.
The middle of the distribution matters too. Countries with youth unemployment in the teens or low twenties can still face serious challenges if the rate remains high for years. Long job searches reduce the returns to schooling and can push young people into informal work, out-migration, or discouraged inactivity. When you use this ranking, the level is informative, but persistence is decisive.
A recurring pattern in several middle-income economies is high graduate unemployment alongside employer complaints about vacancies. The problem is not “too much education” in general; it is a mismatch between fields of study, training quality, and labour demand. If tertiary education expands faster than the private sector’s ability to create skilled entry-level roles, graduates compete for a limited set of positions and search longer. Where recruitment relies on narrow signalling—elite institutions, unpaid internships, or insider networks—the barrier for capable first-time applicants becomes higher.
This is why work-based learning matters. Apprenticeships, dual education, and structured internships convert classroom learning into verified experience and reduce hiring risk for firms. In systems where the school-to-work transition is institutionalised, youth unemployment is often more resilient during slowdowns.
Youth unemployment is a rate within the labour force, so it can rise even when the number of unemployed youths is stable if more young people enter the labour market. It can also fall during crises if young people stop searching and return to education or inactivity. Survey design, seasonality, and how informal activities are classified can shift measured unemployment. For cross-country use, treat the ranking as a comparable signal rather than a precise headcount.
A simple dashboard to read alongside the ranking includes: the NEET rate (risk of long-term exclusion), youth participation (how many young people are exposed to the labour market), the employment-to-population ratio (job absorption at scale), and informality measures where available (whether work is formal and stable). Together, they distinguish high unemployment with active search from low unemployment that hides discouraged inactivity.
A final tip: treat year-to-year moves as directional. When the reference year differs across countries, compare within regions and check whether each economy is improving or worsening versus its own recent path.
Values are percentages of the youth labour force (ages 15–24). “Reference year” indicates the latest available annual observation used for each economy in this snapshot. Table uses a merged “Context” column so the layout stays clean and fully fits the container (no horizontal scroll).
| Rank | Country / economy | Youth unemployment (%, 15–24) | Context (merged) |
|---|---|---|---|
| 1 | Djibouti | 76.3 | Reference year: 2024 Region: Middle East & North Africa Income group: Lower middle income |
| 2 | South Africa | 60.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Upper middle income |
| 3 | Eswatini | 58.2 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 4 | Libya | 49.5 | Reference year: 2024 Region: Middle East & North Africa Income group: Upper middle income |
| 5 | Botswana | 43.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Upper middle income |
| 6 | Gabon | 43.8 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Upper middle income |
| 7 | Lesotho | 43.6 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 8 | Namibia | 42.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Upper middle income |
| 9 | Congo, Rep. | 42.7 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 10 | St. Lucia | 42.4 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 11 | Bahamas, The | 41.4 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 12 | Spain | 39.9 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 13 | Greece | 37.7 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 14 | Sao Tome and Principe | 37.6 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 15 | Saint Vincent and the Grenadines | 37.0 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 16 | Grenada | 36.9 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 17 | Dominica | 36.7 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 18 | Italy | 36.4 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 19 | Croatia | 35.2 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 20 | Zimbabwe | 34.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 21 | Mali | 34.4 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 22 | Tunisia | 34.3 | Reference year: 2024 Region: Middle East & North Africa Income group: Lower middle income |
| 23 | Montenegro | 34.2 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 24 | Albania | 34.1 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 25 | Fiji | 34.0 | Reference year: 2024 Region: East Asia & Pacific Income group: Upper middle income |
| 26 | Bosnia and Herzegovina | 33.8 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 27 | Honduras | 33.5 | Reference year: 2024 Region: Latin America & Caribbean Income group: Lower middle income |
| 28 | Liberia | 33.0 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 29 | North Macedonia | 32.7 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 30 | France | 32.5 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 31 | Jamaica | 32.2 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 32 | Portugal | 31.7 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 33 | Madagascar | 31.6 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 34 | Armenia | 31.4 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 35 | Brazil | 31.3 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 36 | Senegal | 31.3 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 37 | Mauritius | 31.2 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Upper middle income |
| 38 | Belize | 31.1 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 39 | Puerto Rico | 30.8 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 40 | Turkey | 30.7 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 41 | Kosovo | 30.5 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 42 | Congo, Dem. Rep. | 30.2 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 43 | Serbia | 29.6 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 44 | Jordan | 29.4 | Reference year: 2024 Region: Middle East & North Africa Income group: Upper middle income |
| 45 | Ethiopia | 29.0 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 46 | Chile | 28.9 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 47 | Cabo Verde | 28.8 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 48 | Malta | 28.5 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 49 | Angola | 28.1 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 50 | Colombia | 27.8 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 51 | Slovak Republic | 27.5 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 52 | Sierra Leone | 27.4 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 53 | Haiti | 27.2 | Reference year: 2024 Region: Latin America & Caribbean Income group: Low income |
| 54 | Brunei Darussalam | 27.1 | Reference year: 2024 Region: East Asia & Pacific Income group: High income |
| 55 | Burkina Faso | 26.8 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 56 | Samoa | 26.5 | Reference year: 2024 Region: East Asia & Pacific Income group: Upper middle income |
| 57 | Cameroon | 26.4 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 58 | Georgia | 26.4 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 59 | Guinea | 26.3 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 60 | Ireland | 25.9 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 61 | Guyana | 25.8 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 62 | St. Kitts and Nevis | 25.7 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 63 | Uruguay | 25.6 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 64 | Benin | 25.2 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 65 | Mauritania | 25.0 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 66 | Guatemala | 24.9 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 67 | Nicaragua | 24.8 | Reference year: 2024 Region: Latin America & Caribbean Income group: Lower middle income |
| 68 | Mexico | 24.6 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 69 | Finland | 24.4 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 70 | Ghana | 24.3 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 71 | Uganda | 24.1 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 72 | Sweden | 24.1 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 73 | Belgium | 24.0 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 74 | Switzerland | 23.9 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 75 | Costa Rica | 23.9 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 76 | Cote d'Ivoire | 23.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Lower middle income |
| 77 | Denmark | 23.9 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 78 | Azerbaijan | 23.6 | Reference year: 2024 Region: Europe & Central Asia Income group: Upper middle income |
| 79 | Rwanda | 23.6 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 80 | Czechia | 23.5 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 81 | Burundi | 23.5 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 82 | Latvia | 23.3 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 83 | Paraguay | 23.3 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 84 | Togo | 23.2 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 85 | Argentina | 23.2 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 86 | Lithuania | 23.1 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 87 | Niger | 22.9 | Reference year: 2024 Region: Sub-Saharan Africa Income group: Low income |
| 88 | Poland | 22.9 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 89 | El Salvador | 22.8 | Reference year: 2024 Region: Latin America & Caribbean Income group: Lower middle income |
| 90 | Romania | 22.8 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 91 | Bulgaria | 22.7 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 92 | Estonia | 22.7 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 93 | Norway | 22.7 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 94 | Hungary | 22.6 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 95 | Israel | 22.5 | Reference year: 2024 Region: Middle East & North Africa Income group: High income |
| 96 | Peru | 22.4 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
| 97 | Algeria | 22.4 | Reference year: 2024 Region: Middle East & North Africa Income group: Lower middle income |
| 98 | Slovenia | 22.4 | Reference year: 2024 Region: Europe & Central Asia Income group: High income |
| 99 | Trinidad and Tobago | 22.3 | Reference year: 2024 Region: Latin America & Caribbean Income group: High income |
| 100 | Ecuador | 22.3 | Reference year: 2024 Region: Latin America & Caribbean Income group: Upper middle income |
- World Bank (WDI) — SL.UEM.1524.ZS
- World Bank DataBank metadata — series metadata
- World Bank API guide — basic call structures
- ILOSTAT youth topic — Youth
- ILOSTAT ILOEST methods — ILO modelled estimates
- OECD NEET — NEET indicator
- Eurostat glossary — Youth unemployment