Top 100 Countries by Labor Force Participation Rate (15+), Latest Year
Labor force participation rate (15+) measures the share of people aged 15 and over who are economically active: either employed, or unemployed and actively looking for work. For cross-country comparison it is one of the clearest high-level signals of how closely adults are tied to the labor market, but it does not tell you how well those jobs pay, how secure they are, or how productive the economy is.
The indicator also needs careful reading. A very high participation rate does not automatically mean a richer or more comfortable economy. In lower-income countries the rate can be pushed up because more adults need to work, combine informal activities, or stay economically active later in life. In richer and older societies, participation is often pulled down by longer education, retirement, disability, unpaid care work, and population aging.
This page uses the latest available country reading in the current WDI/ILO series, keeps the visible year in each row, and checks the final ranking order before publication. Small gaps between nearby countries should be read with caution.
What stands out at the top of the ranking
This ranking looks very different from a GDP-per-capita table. The top is filled by a mix of Sub-Saharan African economies, agrarian or informal-labor systems, Gulf labor-importing states, and a few smaller island economies. Qatar leads the latest available ranking at 87.01%, followed by Madagascar at 85.50% and Solomon Islands at 84.30%. The Top 10 threshold is still exceptionally high at 78.71%, while the Top 100 cutoff is 60.51%.
That composition is the main point of the page. High participation often reflects economic necessity rather than comfort. Where pensions are thin, savings are limited, and informal work is widespread, a larger share of adults remains economically active. Many advanced economies that rank near the top in income, productivity, and household wealth sit much lower here because the denominator includes older age groups and because more people stay longer in education or outside paid work.
Top 20 countries by labor force participation rate (15+), latest available year
The visual below uses the same latest available series as the ranking table and shows how the top 20 countries are separated at the upper end of the distribution.
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#1 Qatar 87.01%
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#2 Madagascar 85.50%
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#3 Solomon Islands 84.30%
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#4 Tanzania 83.72%
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#5 Nigeria 82.52%
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#6 Cambodia 82.39%
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#7 Korea, Dem. People's Rep. 82.15%
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#8 Uganda 80.03%
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#9 Niger 79.74%
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#10 Mozambique 78.71%
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#11 Bolivia 78.63%
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#12 United Arab Emirates 78.59%
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#13 Eritrea 78.35%
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#14 Burundi 78.25%
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#15 Liberia 76.58%
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#16 Benin 76.36%
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#17 Iceland 74.93%
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#18 Angola 74.79%
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#19 Bahamas, The 73.78%
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#20 South Sudan 73.41%
Source logic: latest available country value from the World Bank WDI indicator for labor force participation rate, total (% of population ages 15+), based on ILO modeled estimates. The year label is kept visible because not every country snapshot necessarily lands in the same calendar year.
Top 100 countries by labor force participation rate (15+), latest available year
The year column keeps the snapshot honest where the latest visible country reading is older than the main cluster of observations. That matters because this page compares the latest available values, not an artificially forced same-year panel.
100 rows visible.
| Rank | Country | Latest rate | Year |
|---|---|---|---|
| 1 | Qatar | 87.01% | 2025 |
| 2 | Madagascar | 85.50% | 2025 |
| 3 | Solomon Islands | 84.30% | 2025 |
| 4 | Tanzania | 83.72% | 2025 |
| 5 | Nigeria | 82.52% | 2025 |
| 6 | Cambodia | 82.39% | 2025 |
| 7 | Korea, Dem. People's Rep. | 82.15% | 2025 |
| 8 | Uganda | 80.03% | 2025 |
| 9 | Niger | 79.74% | 2025 |
| 10 | Mozambique | 78.71% | 2025 |
| 11 | Bolivia | 78.63% | 2025 |
| 12 | United Arab Emirates | 78.59% | 2025 |
| 13 | Eritrea | 78.35% | 2025 |
| 14 | Burundi | 78.25% | 2025 |
| 15 | Liberia | 76.58% | 2025 |
| 16 | Benin | 76.36% | 2025 |
| 17 | Iceland | 74.93% | 2025 |
| 18 | Angola | 74.79% | 2025 |
| 19 | Bahamas, The | 73.78% | 2025 |
| 20 | South Sudan | 73.41% | 2023 |
| 21 | Central African Republic | 73.39% | 2025 |
| 22 | Kuwait | 73.36% | 2025 |
| 23 | Peru | 72.86% | 2025 |
| 24 | Viet Nam | 72.78% | 2025 |
| 25 | Moldova | 72.29% | 2025 |
| 26 | Bahrain | 70.43% | 2025 |
| 27 | New Zealand | 70.35% | 2025 |
| 28 | Paraguay | 70.25% | 2025 |
| 29 | Burkina Faso | 70.00% | 2025 |
| 30 | Singapore | 69.67% | 2025 |
| 31 | Jamaica | 69.57% | 2025 |
| 32 | Botswana | 68.80% | 2025 |
| 33 | Oman | 68.38% | 2025 |
| 34 | St. Lucia | 68.27% | 2025 |
| 35 | Indonesia | 67.97% | 2025 |
| 36 | St. Vincent and the Grenadines | 67.90% | 2025 |
| 37 | Macao SAR, China | 67.85% | 2025 |
| 38 | Congo, Rep. | 67.83% | 2025 |
| 39 | Kazakhstan | 67.77% | 2025 |
| 40 | Zimbabwe | 67.72% | 2025 |
| 41 | Kenya | 67.39% | 2025 |
| 42 | Netherlands | 67.25% | 2025 |
| 43 | Cote d'Ivoire | 67.09% | 2025 |
| 44 | Mali | 67.04% | 2025 |
| 45 | Timor-Leste | 66.98% | 2025 |
| 46 | Cyprus | 66.96% | 2025 |
| 47 | Switzerland | 66.75% | 2025 |
| 48 | Thailand | 66.68% | 2025 |
| 49 | Australia | 66.54% | 2025 |
| 50 | Panama | 66.30% | 2025 |
| 51 | Malaysia | 66.12% | 2025 |
| 52 | Lao PDR | 66.09% | 2025 |
| 53 | Nicaragua | 66.07% | 2025 |
| 54 | Norway | 65.61% | 2025 |
| 55 | Israel | 65.49% | 2025 |
| 56 | Cameroon | 65.17% | 2025 |
| 57 | Estonia | 65.13% | 2025 |
| 58 | Saudi Arabia | 65.10% | 2025 |
| 59 | Uruguay | 64.99% | 2025 |
| 60 | Denmark | 64.94% | 2025 |
| 61 | Dominican Republic | 64.84% | 2025 |
| 62 | Ireland | 64.84% | 2025 |
| 63 | Bhutan | 64.82% | 2025 |
| 64 | Guinea-Bissau | 64.81% | 2025 |
| 65 | Barbados | 64.69% | 2025 |
| 66 | Sweden | 64.59% | 2025 |
| 67 | China | 64.55% | 2025 |
| 68 | Canada | 64.52% | 2025 |
| 69 | Ecuador | 64.50% | 2025 |
| 70 | Korea, Rep. | 64.35% | 2025 |
| 71 | Congo, Dem. Rep. | 64.31% | 2025 |
| 72 | Georgia | 64.31% | 2025 |
| 73 | Albania | 64.26% | 2025 |
| 74 | Brunei Darussalam | 64.23% | 2025 |
| 75 | Malta | 63.98% | 2025 |
| 76 | Haiti | 63.93% | 2025 |
| 77 | Rwanda | 63.68% | 2025 |
| 78 | Maldives | 63.50% | 2025 |
| 79 | Japan | 63.45% | 2025 |
| 80 | Colombia | 63.40% | 2025 |
| 81 | Azerbaijan | 63.29% | 2025 |
| 82 | Brazil | 63.14% | 2025 |
| 83 | Lithuania | 62.92% | 2025 |
| 84 | Belarus | 62.75% | 2025 |
| 85 | Malawi | 62.58% | 2025 |
| 86 | Chile | 62.30% | 2025 |
| 87 | Guam | 62.27% | 2025 |
| 88 | El Salvador | 62.11% | 2025 |
| 89 | Zambia | 61.93% | 2025 |
| 90 | Argentina | 61.91% | 2025 |
| 91 | United States | 61.70% | 2025 |
| 92 | Mexico | 61.61% | 2025 |
| 93 | Luxembourg | 61.50% | 2025 |
| 94 | United Kingdom | 61.37% | 2025 |
| 95 | Philippines | 61.35% | 2025 |
| 96 | Russian Federation | 61.11% | 2025 |
| 97 | Hungary | 60.58% | 2025 |
| 98 | Germany | 60.57% | 2025 |
| 99 | Latvia | 60.52% | 2025 |
| 100 | Equatorial Guinea | 60.51% | 2025 |
Table compiled from latest available values in the labor force participation rate indicator for ages 15+. Values are percentages, shown exactly as extracted for the snapshot and rounded to two decimals.
Methodology
The ranking uses the World Bank indicator for labor force participation rate, total (% of total population ages 15+), built from ILO modeled estimates. The metric measures the share of people aged 15 and older who are in the labor force: either employed, or unemployed and actively seeking work. It is a participation measure, not an employment-rate measure, not an unemployment measure, and not a wage or productivity measure.
For this page, the ranking is based on the latest visible observation by country in the current WDI/ILO series. That makes the page useful as a current comparison snapshot, but it also means the year column matters: not every country lands in the same observation year. Rates are shown as percentages with two decimals. No values are generated by JavaScript, and all Top 100 rows are embedded directly in the HTML.
The main strength of the ILO modeled series is comparability. It harmonizes country data into a common framework and helps fill gaps where direct observations are missing. The main limitation is just as important: modeled and imputed observations carry uncertainty, and demographic structure can move the rate substantially. A country with an older population, longer education cycles, or lower female labor-market participation can rank below a poorer country where work is closer to a household survival strategy.
The ranking is therefore most useful in broad bands rather than as a precision league table between neighbors separated by a few tenths of a point. A serious reading should pair it with unemployment, employment-to-population ratio, female participation, old-age dependency, median income, and labor productivity before making strong claims about labor-market quality.
Insights and interpretation
1. High participation is often strongest where work is economically necessary. Several of the highest-ranked countries are not the world’s richest. Many are places where a very large share of adults participates in farming, self-employment, household enterprise, street commerce, or other informal activity. That lifts the labor-force share even when job security, productivity, and earnings remain modest.
2. Gulf labor-importing economies should be read as a separate structural case. Qatar and the United Arab Emirates rank near the top partly because their resident populations are unusually concentrated in working ages and include large migrant labor forces. Their high participation ratio does not arise from the same mix of necessity, informality, and weak pension coverage that helps push many low-income economies upward.
3. Aging, education, and unpaid care pull many advanced economies lower. The United States, the United Kingdom, Germany, Japan, and other high-income countries still appear in the Top 100, but often in the low-60s. That is not automatically a sign of labor-market weakness. The 15+ denominator captures retirees, older inactive adults, longer time spent in education, and unpaid care work. Countries with older populations and lower female participation can therefore rank below poorer but younger societies.
4. Gender composition matters even when the headline rate looks strong. Two countries can post similar total participation rates while hiding very different labor-market realities for women and men. A country with a moderate total rate but unusually high female participation may have a more inclusive labor market than a country with a higher headline rate built on male-dominated or necessity-driven work.
5. This is not a ranking of job quality. A country at 66.5% is not meaningfully different from one at 66.1% for editorial interpretation, and neither figure tells you whether jobs are formal, productive, well paid, or stable. The more useful distinction is between very high-participation systems above roughly 75%, the broad middle around 60% to 70%, and clearly lower-participation systems where labor-market entry barriers are often stronger.
What this means for readers
For readers comparing countries for work, migration, business expansion, or macroeconomic research, this ranking works best as a context indicator rather than a final verdict. A higher participation rate suggests that more adults are connected to the labor market, but it does not show whether jobs are formal, stable, productive, well paid, or evenly shared between men and women.
For a migrant or job-seeker, the practical question is not just whether participation is high, but whether the country also combines that with decent wages, low unemployment, sector demand, and stronger female participation where dual-income households matter. For an employer, a high rate can signal a large active labor pool, but it can also sit alongside lower purchasing power or a skills mismatch. For an investor, a lower rate in an advanced economy may still come with stronger productivity, deeper consumer demand, and higher formalization.
For policymakers, the indicator is most useful as a diagnostic clue. A weak total rate can point to aging, inactivity, youth transition problems, disability exclusion, or barriers facing women. A very high rate can point to thin pensions, household income pressure, or persistent informality. The next metrics to check are usually unemployment, employment-to-population ratio, female participation, youth NEET rates, median income, and labor productivity.
Used well, this metric is a strong first screen for how active the adult population is. Used on its own, it is a weak guide to prosperity, job quality, or household security.
FAQ
Why is Qatar first if this is not an income ranking?
Qatar’s result reflects an unusually work-heavy resident structure, with a large migrant labor force and a relatively small non-working population share. A top rank here means an exceptionally large share of adults is in the labor force. It does not mean the country offers the best jobs, the highest wages for every worker, or the strongest overall labor-market quality.
Why do several lower-income African countries rank above rich economies?
Because participation measures whether adults are economically active, not whether their jobs are formal, high-productivity, or well paid. In poorer economies more people often need to work, keep working later in life, or combine multiple informal activities, which can lift participation even when incomes remain low.
Is a higher labor force participation rate always better?
No. Higher participation can be positive when it reflects broad opportunity, strong female employment, and healthy labor demand. But it can also reflect economic necessity, weak pensions, or low household incomes that leave fewer people able to stay in education or outside paid work.
What does the “15+” denominator change?
It matters a lot. Countries with older populations usually look lower because everyone aged 65+ remains in the denominator, even if many have retired. Countries with younger populations can look higher because more of the 15+ population is in prime working age.
Does this indicator include unemployed people?
Yes. The labor force includes both employed people and those who are unemployed but actively seeking work and available to start. People outside the labor force — such as many students, retirees, and unpaid caregivers — are excluded.
Are these fully observed national statistics or modeled estimates?
They are ILO modeled estimates presented through the World Bank indicator. That improves comparability and fills data gaps, but it also means some country values are partly modeled or imputed. The ranking is most reliable for broad comparison bands, not for reading tiny gaps as decisive.
Sources
- World Bank Data — indicator SL.TLF.CACT.ZS Official indicator page for labor force participation rate, total (% of total population ages 15+) based on modeled ILO estimates. World Bank indicator page
- World Bank DataBank metadata glossary Definition of the indicator, code, long definition, and source attribution for WDI. World Bank metadata glossary
- ILOSTAT snapshot Official ILO catalogue entry for “Labour force participation rate by sex and age -- ILO modelled estimates, Nov. 2025 (%) Annual”. ILOSTAT snapshot page
- ILO modelled estimates methodology Methodological note explaining how modeled estimates combine nationally reported observations with imputed data for missing years. ILO methodology note
Snapshot note: the ranking uses the latest visible country values in the current WDI/ILO series and was checked for descending order before publication. It is designed for analytical reading, so very small gaps should not be over-interpreted.