Countries by women in the labour force, 2025
Moldova had the highest women in the labour force of 181 countries in 2025, at 55.4%. Afghanistan had the lowest, at 6.8%. The median was 45.6% and the figure for the World was 40.2%. Source: the World Bank.
Map of countries, 2025
- Under 36
- 36 to 42
- 42 to 46
- 46 to 47
- 47 to 48
- 48 and over
- No data
Top 40 countries, 2025
Full ranking
| Rank | Countries | 2025 (%) | Change on 2024 |
|---|---|---|---|
| 1 | Moldova | 55.4 | +0.1 pts |
| 2 | U.S. Virgin Islands | 51.9 | +0.2 pts |
| 3 | Mozambique | 51.7 | -0.1 pts |
| 4 | Burundi | 51.6 | -0 pts |
| 5 | Togo | 51.3 | -0.1 pts |
| 6 | Hong Kong | 51.2 | 0 pts |
| 7 | Macao | 51 | 0 pts |
| 8 | Bahamas | 50.7 | 0 pts |
| 9 | Azerbaijan | 49.9 | -0.1 pts |
| 10 | Latvia | 49.8 | -0 pts |
| 11 | Estonia | 49.7 | -0 pts |
| 12 | Portugal | 49.7 | 0 pts |
| 13 | Barbados | 49.7 | -0.1 pts |
| 14 | Zimbabwe | 49.6 | -0.1 pts |
| 15 | São Tomé and Príncipe | 49.4 | +0.1 pts |
| 16 | Benin | 49.4 | 0 pts |
| 17 | Angola | 49.4 | -0 pts |
| 18 | Belarus | 49.2 | -0 pts |
| 19 | Lithuania | 49 | -0.1 pts |
| 20 | Tanzania | 49 | -0 pts |
| 21 | Democratic Republic of the Congo | 48.9 | +0.1 pts |
| 22 | Vietnam | 48.8 | -0 pts |
| 23 | Eswatini | 48.8 | +0.1 pts |
| 24 | Russia | 48.8 | -0 pts |
| 25 | Sierra Leone | 48.8 | -0 pts |
| 26 | Cambodia | 48.7 | -0 pts |
| 27 | Madagascar | 48.6 | -0 pts |
| 28 | Republic of the Congo | 48.6 | -0 pts |
| 29 | Gambia | 48.5 | +0.1 pts |
| 30 | Nigeria | 48.4 | -0 pts |
| 31 | France | 48.4 | -0 pts |
| 32 | Malawi | 48.3 | -0.1 pts |
| 33 | Central African Republic | 48.3 | -0.2 pts |
| 34 | Kazakhstan | 48.3 | -0.1 pts |
| 35 | Namibia | 48.3 | 0 pts |
| 36 | Israel | 48.3 | 0 pts |
| 37 | Georgia | 48.2 | 0 pts |
| 38 | Uganda | 48.2 | -0 pts |
| 39 | North Korea | 48.2 | -0 pts |
| 40 | Finland | 48.1 | -0 pts |
| 41 | Solomon Islands | 48 | -0 pts |
| 42 | United Kingdom | 47.8 | -0 pts |
| 43 | Guinea-Bissau | 47.7 | 0 pts |
| 44 | Australia | 47.7 | 0 pts |
| 45 | Eritrea | 47.7 | -0.1 pts |
| 46 | Papua New Guinea | 47.7 | +0.1 pts |
| 47 | Ghana | 47.6 | 0 pts |
| 48 | New Zealand | 47.6 | -0 pts |
| 49 | Liberia | 47.5 | -0 pts |
| 50 | Croatia | 47.5 | 0 pts |
| 51 | Sweden | 47.5 | -0 pts |
| 52 | Kenya | 47.4 | +0.1 pts |
| 53 | Denmark | 47.4 | -0 pts |
| 54 | Serbia | 47.3 | +0.1 pts |
| 55 | Canada | 47.2 | 0 pts |
| 56 | Armenia | 47.2 | -0.1 pts |
| 57 | Netherlands | 47.2 | 0 pts |
| 58 | Switzerland | 47.2 | -0 pts |
| 59 | Spain | 47.2 | 0 pts |
| 60 | Turkmenistan | 47.1 | -0 pts |
| 61 | Slovakia | 47.1 | 0 pts |
| 62 | Norway | 47.1 | -0 pts |
| 63 | Hungary | 47.1 | -0 pts |
| 64 | Tonga | 46.9 | +0.1 pts |
| 65 | Ireland | 46.9 | 0 pts |
| 66 | Rwanda | 46.8 | 0 pts |
| 67 | Austria | 46.8 | -0 pts |
| 68 | Bulgaria | 46.8 | 0 pts |
| 69 | Belgium | 46.8 | 0 pts |
| 70 | Botswana | 46.7 | +0.1 pts |
| 71 | Laos | 46.7 | 0 pts |
| 72 | Albania | 46.6 | +0.1 pts |
| 73 | South Africa | 46.6 | +0.1 pts |
| 74 | Montenegro | 46.6 | 0 pts |
| 75 | Bolivia | 46.6 | +0.1 pts |
| 76 | Luxembourg | 46.5 | 0 pts |
| 77 | Burkina Faso | 46.5 | -0 pts |
| 78 | Haiti | 46.5 | +0.1 pts |
| 79 | Germany | 46.5 | -0 pts |
| 80 | Zambia | 46.3 | 0 pts |
| 81 | Saint Lucia | 46.3 | +0.1 pts |
| 82 | New Caledonia | 46.2 | -0.1 pts |
| 83 | Jamaica | 46.1 | 0 pts |
| 84 | Poland | 46.1 | 0 pts |
| 85 | Puerto Rico | 46.1 | +0.1 pts |
| 86 | Vanuatu | 46 | 0 pts |
| 87 | Uruguay | 45.9 | -0 pts |
| 88 | Timor-Leste | 45.9 | 0 pts |
| 89 | Thailand | 45.8 | -0 pts |
| 90 | United States | 45.6 | 0 pts |
| 91 | Iceland | 45.6 | -0 pts |
| 92 | Cyprus | 45.6 | 0 pts |
| 93 | Japan | 45.4 | +0.2 pts |
| 94 | China | 45.4 | 0 pts |
| 95 | Slovenia | 45.3 | -0 pts |
| 96 | Peru | 45.2 | 0 pts |
| 97 | Czechia | 45.2 | 0 pts |
| 98 | Guam | 45.2 | +0.1 pts |
| 99 | Niger | 45 | -0.1 pts |
| 100 | Guyana | 44.9 | +0.1 pts |
| 101 | Greece | 44.7 | -0.1 pts |
| 102 | South Korea | 44.4 | +0.1 pts |
| 103 | French Polynesia | 44.3 | 0 pts |
| 104 | Singapore | 44.1 | 0 pts |
| 105 | Cameroon | 43.9 | -0.1 pts |
| 106 | Mongolia | 43.9 | -0.1 pts |
| 107 | Lesotho | 43.8 | -0.1 pts |
| 108 | Cape Verde | 43.6 | 0 pts |
| 109 | Brazil | 43.4 | 0 pts |
| 110 | Côte d’Ivoire | 43.4 | 0 pts |
| 111 | Ethiopia | 43.1 | 0 pts |
| 112 | Argentina | 43 | +0.1 pts |
| 113 | Chile | 42.9 | +0.1 pts |
| 114 | Saint Vincent and the Grenadines | 42.8 | +0.1 pts |
| 115 | Comoros | 42.7 | +0.2 pts |
| 116 | North Macedonia | 42.7 | +0.1 pts |
| 117 | Italy | 42.6 | -0 pts |
| 118 | Bosnia and Herzegovina | 42.4 | 0 pts |
| 119 | El Salvador | 42.4 | -0.1 pts |
| 120 | Romania | 42.4 | 0 pts |
| 121 | Paraguay | 42.2 | +0.1 pts |
| 122 | Trinidad and Tobago | 42.1 | -0 pts |
| 123 | Suriname | 42 | +0.1 pts |
| 124 | Dominican Republic | 42 | +0.2 pts |
| 125 | Malta | 41.9 | 0 pts |
| 126 | Panama | 41.8 | +0.1 pts |
| 127 | Philippines | 41.6 | 0 pts |
| 128 | Colombia | 41.6 | 0 pts |
| 129 | Guinea | 41.6 | -0.1 pts |
| 130 | Ecuador | 41 | 0 pts |
| 131 | Costa Rica | 40.7 | 0 pts |
| 132 | Mauritius | 40.6 | +0.2 pts |
| 133 | Bhutan | 40.4 | +0.1 pts |
| 134 | Mexico | 40.3 | 0 pts |
| 135 | Chad | 40 | -0.1 pts |
| 136 | Equatorial Guinea | 40 | 0 pts |
| 137 | Gabon | 40 | +0.1 pts |
| 138 | Nicaragua | 39.9 | +0.1 pts |
| 139 | Indonesia | 39.6 | +0.1 pts |
| 140 | Kyrgyzstan | 39.6 | -0 pts |
| 141 | Brunei | 39.5 | 0 pts |
| 142 | Belize | 39.2 | +0.8 pts |
| 143 | Mali | 39.1 | -0.1 pts |
| 144 | Cuba | 39.1 | -0.1 pts |
| 145 | Myanmar | 37.7 | 0 pts |
| 146 | Nepal | 37.6 | +0.3 pts |
| 147 | Malaysia | 37.1 | +0.1 pts |
| 148 | Venezuela | 36.6 | -0.1 pts |
| 149 | Senegal | 36.6 | +0.1 pts |
| 150 | Samoa | 36.4 | -0 pts |
| 151 | Uzbekistan | 35.9 | 0 pts |
| 152 | Honduras | 35 | 0 pts |
| 153 | Türkiye | 34.4 | +0.2 pts |
| 154 | Fiji | 34.2 | 0 pts |
| 155 | Bangladesh | 34 | -0 pts |
| 156 | Libya | 33.9 | -0.1 pts |
| 157 | Sri Lanka | 33.4 | +0.1 pts |
| 158 | Mauritania | 33.4 | -0 pts |
| 159 | Guatemala | 32.7 | -0 pts |
| 160 | Djibouti | 31 | +0.2 pts |
| 161 | Somalia | 30.9 | 0 pts |
| 162 | Tunisia | 30 | 0 pts |
| 163 | Tajikistan | 29.6 | -0 pts |
| 164 | India | 28.3 | -0 pts |
| 165 | Kuwait | 23.6 | 0 pts |
| 166 | Maldives | 23.2 | +0.2 pts |
| 167 | Pakistan | 22.8 | +0.1 pts |
| 168 | United Arab Emirates | 22.7 | +0.3 pts |
| 169 | Morocco | 22.4 | -0 pts |
| 170 | Bahrain | 21.3 | 0 pts |
| 171 | Egypt | 20.6 | -0 pts |
| 172 | Jordan | 19.3 | 0 pts |
| 173 | Saudi Arabia | 18.9 | +0.3 pts |
| 174 | Qatar | 18 | +0.2 pts |
| 175 | Syria | 17.4 | -0 pts |
| 176 | Algeria | 17 | -0 pts |
| 177 | Iran | 16.9 | -0 pts |
| 178 | Oman | 14.9 | -0.1 pts |
| 179 | Iraq | 13.3 | -0.1 pts |
| 180 | Yemen | 7 | -0 pts |
| 181 | Afghanistan | 6.8 | -0 pts |
Other periods
About this ranking
Women aged 15 and over who are employed or unemployed, as a percentage of the total labour force. World Bank series from ILO modelled estimates and UN population estimates.
A share of the labour force, not the female participation rate: half would mean as many women as men are working or looking for work. ILO modelled estimates: model outputs that fill years without a survey, not survey results. The latest year is a nowcast and is revised as surveys arrive.
Every value in the ranking comes from the same publisher and the same period, so the countries are compared on one definition. 5 countries with data in other periods have no value for 2025 and are left out rather than filled from another source. Equal values share a rank.
How to cite
World Bank, World Development Indicators, modelled estimate. Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS). https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS. Retrieved 2026-10-18. Licensed under CC BY 4.0.
Citation styles
APA 7
World Bank. (2026). Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS) (Countries by women in the labour force, 2025) [Data set]. Retrieved October 18, 2026, from https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS
MLA 9
Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS), Countries by women in the labour force, 2025. World Bank, 8 Oct. 2026, https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS. Invokely, https://invokely.ai/rankings/women-share-of-labor-force/countries. Accessed 18 Oct. 2026.
Chicago (author-date)
World Bank. 2026. Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS). Countries by women in the labour force, 2025. Dataset. Accessed October 18, 2026. https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS. Also distributed by Invokely, https://invokely.ai/rankings/women-share-of-labor-force/countries.
Harvard
World Bank (2026) Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS), Countries by women in the labour force, 2025 [Dataset]. Available at: https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS, via Invokely: https://invokely.ai/rankings/women-share-of-labor-force/countries (Accessed: 18 October 2026).
BibTeX
@misc{world_countries_by_women_in_2025,
author = {{World Bank}},
title = {{Labor force, female (\% of total labor force) (SL.TLF.TOTL.FE.ZS): Countries by women in the labour force, 2025}},
year = {2026},
howpublished = {Data set},
url = {https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS},
urldate = {2026-10-18},
note = {Accessed via Invokely, https://invokely.ai/rankings/women-share-of-labor-force/countries. Publisher attribution: World Bank, World Development Indicators, modelled estimate. Labor force, female (\% of total labor force) (SL.TLF.TOTL.FE.ZS). https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS. Retrieved 2026-10-18. Licensed under CC BY 4.0.},
}
RIS
TY - DATA
AU - World Bank
TI - Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS): Countries by women in the labour force, 2025
PY - 2026
DA - 2026/10/08
PB - World Bank
DB - Invokely
UR - https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS
L2 - https://invokely.ai/rankings/women-share-of-labor-force/countries
Y2 - 2026/10/18
N1 - Accessed via Invokely, https://invokely.ai/rankings/women-share-of-labor-force/countries.
N1 - Publisher attribution: World Bank, World Development Indicators, modelled estimate. Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS). https://data.worldbank.org/indicator/SL.TLF.TOTL.FE.ZS. Retrieved 2026-10-18. Licensed under CC BY 4.0.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank Countries by women in the labour force using official data, and cite the source.
rank_places {"indicator":"labor_force_female_share","level":"country","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=labor_force_female_share&level=country&limit=10
Questions
Which country has the highest women in the labour force?
Moldova, with 55.4% in 2025, according to the World Bank.
Which country has the lowest women in the labour force?
Afghanistan, with 6.8% in 2025.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: World Bank, Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS). Retrieved 2026-10-18. 5 countries have no value for 2025 and are not ranked.