Countries by women in the labour force
Moldova had the highest women in the labour force of 185 countries in 2022, at 54.5%. Afghanistan had the lowest, at 6.9%. The median was 45.3% and the figure for the World was 39.8%. Source: the World Bank.
Map of countries, 2022
- Under 35
- 35 to 41
- 41 to 45
- 45 to 47
- 47 to 48
- 48 and over
- No data
Top 40 countries, 2022
Full ranking
| Rank | Countries | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Moldova | 54.5 | +0.7 pts |
| 2 | Mozambique | 51.9 | -0.3 pts |
| 3 | Burundi | 51.6 | -0.2 pts |
| 4 | Togo | 51.3 | +0.4 pts |
| 5 | U.S. Virgin Islands | 51.2 | +0.4 pts |
| 6 | Hong Kong | 50.7 | -0.1 pts |
| 7 | Bahamas | 50.5 | -0.1 pts |
| 8 | Angola | 50.3 | +0.3 pts |
| 9 | Azerbaijan | 50 | -0.1 pts |
| 10 | Zimbabwe | 49.9 | -0.2 pts |
| 11 | South Sudan | 49.7 | -0.6 pts |
| 12 | Latvia | 49.7 | +0.3 pts |
| 13 | Lithuania | 49.6 | +0.1 pts |
| 14 | São Tomé and Príncipe | 49.5 | -0.2 pts |
| 15 | Barbados | 49.3 | -0.5 pts |
| 16 | Portugal | 49.2 | -0 pts |
| 17 | Estonia | 49.2 | +0.4 pts |
| 18 | Benin | 49.2 | -0.2 pts |
| 19 | Belarus | 49.2 | -0.1 pts |
| 20 | Macao | 49.1 | -1.5 pts |
| 21 | Tanzania | 49 | -0.1 pts |
| 22 | Russia | 48.7 | +0.2 pts |
| 23 | Cambodia | 48.7 | +0.5 pts |
| 24 | Republic of the Congo | 48.7 | -0.5 pts |
| 25 | Madagascar | 48.6 | -0.2 pts |
| 26 | Vietnam | 48.6 | +0.1 pts |
| 27 | Sierra Leone | 48.5 | +0.1 pts |
| 28 | Malawi | 48.5 | -0.2 pts |
| 29 | Democratic Republic of the Congo | 48.5 | +0.2 pts |
| 30 | France | 48.4 | -0 pts |
| 31 | North Korea | 48.3 | -0.1 pts |
| 32 | Kazakhstan | 48.3 | -0.1 pts |
| 33 | Finland | 48.2 | +0.6 pts |
| 34 | Eswatini | 48.2 | -0.4 pts |
| 35 | Central African Republic | 48.2 | +0.7 pts |
| 36 | Gambia | 48.1 | +0.2 pts |
| 37 | Uganda | 48.1 | -0 pts |
| 38 | Namibia | 48.1 | -0.6 pts |
| 39 | Solomon Islands | 48 | -0.2 pts |
| 40 | Israel | 48 | 0 pts |
| 41 | Georgia | 47.9 | +0.3 pts |
| 42 | Eritrea | 47.8 | -0.1 pts |
| 43 | United Kingdom | 47.7 | -0.2 pts |
| 44 | Guinea-Bissau | 47.6 | +0.4 pts |
| 45 | Rwanda | 47.5 | +0.2 pts |
| 46 | New Zealand | 47.5 | +0.2 pts |
| 47 | Australia | 47.5 | +0.2 pts |
| 48 | Liberia | 47.5 | -0.1 pts |
| 49 | Papua New Guinea | 47.4 | -0.2 pts |
| 50 | Denmark | 47.4 | +0.5 pts |
| 51 | Ghana | 47.3 | -0.1 pts |
| 52 | Canada | 47.3 | +0.3 pts |
| 53 | Turkmenistan | 47.3 | +0.1 pts |
| 54 | Sweden | 47.2 | -0 pts |
| 55 | Kenya | 47.1 | +0.1 pts |
| 56 | Netherlands | 47.1 | -0 pts |
| 57 | Haiti | 47.1 | -1 pts |
| 58 | Armenia | 47.1 | -2 pts |
| 59 | Norway | 47 | -0 pts |
| 60 | Slovakia | 47 | +0.2 pts |
| 61 | Nigeria | 46.9 | -0 pts |
| 62 | Croatia | 46.8 | +0.7 pts |
| 63 | Belgium | 46.8 | +0.2 pts |
| 64 | Austria | 46.8 | +0.1 pts |
| 65 | Switzerland | 46.8 | -0.1 pts |
| 66 | Ireland | 46.7 | +0.3 pts |
| 67 | New Caledonia | 46.7 | -0.5 pts |
| 68 | Bulgaria | 46.6 | +0.4 pts |
| 69 | Hungary | 46.6 | +0.1 pts |
| 70 | Botswana | 46.6 | +0.3 pts |
| 71 | Luxembourg | 46.6 | +0.5 pts |
| 72 | Spain | 46.6 | -0.2 pts |
| 73 | Laos | 46.5 | -0.2 pts |
| 74 | Germany | 46.5 | +0.1 pts |
| 75 | Serbia | 46.5 | +0.4 pts |
| 76 | Albania | 46.4 | +1.4 pts |
| 77 | Iceland | 46.3 | +0.3 pts |
| 78 | Zambia | 46.1 | +0.3 pts |
| 79 | Saint Lucia | 46.1 | -0.7 pts |
| 80 | Montenegro | 46.1 | +0.7 pts |
| 81 | Burkina Faso | 46 | -0.6 pts |
| 82 | Vanuatu | 46 | -0.9 pts |
| 83 | Bolivia | 46 | +0.2 pts |
| 84 | Uruguay | 45.9 | -0.5 pts |
| 85 | Puerto Rico | 45.9 | -0.2 pts |
| 86 | Thailand | 45.8 | +0.2 pts |
| 87 | South Africa | 45.8 | +0.3 pts |
| 88 | Timor-Leste | 45.8 | -0.1 pts |
| 89 | Jamaica | 45.7 | +0.5 pts |
| 90 | Slovenia | 45.6 | -0.2 pts |
| 91 | Poland | 45.6 | +0.4 pts |
| 92 | Peru | 45.4 | -0.3 pts |
| 93 | United States | 45.3 | +0.1 pts |
| 94 | China | 45.2 | +0.1 pts |
| 95 | Cyprus | 45.1 | +0.5 pts |
| 96 | Tonga | 45.1 | +1 pts |
| 97 | Niger | 44.9 | +1.3 pts |
| 98 | Guam | 44.8 | -0.1 pts |
| 99 | Japan | 44.7 | +0.3 pts |
| 100 | Greece | 44.6 | -0.1 pts |
| 101 | Czechia | 44.5 | +0.2 pts |
| 102 | Mongolia | 44.3 | +0.2 pts |
| 103 | Cameroon | 44 | -0.2 pts |
| 104 | French Polynesia | 44 | -0.1 pts |
| 105 | Lesotho | 44 | -0.4 pts |
| 106 | Trinidad and Tobago | 43.6 | +0.4 pts |
| 107 | Singapore | 43.6 | -0.4 pts |
| 108 | Guyana | 43.5 | +2.1 pts |
| 109 | Brazil | 43.4 | +0.4 pts |
| 110 | South Korea | 43.4 | +0.2 pts |
| 111 | Cape Verde | 43.1 | -0.3 pts |
| 112 | Argentina | 42.9 | +0.5 pts |
| 113 | Côte d’Ivoire | 42.9 | +0.3 pts |
| 114 | Romania | 42.8 | +0.3 pts |
| 115 | Ethiopia | 42.7 | +0.2 pts |
| 116 | Italy | 42.6 | +0.1 pts |
| 117 | Comoros | 42.4 | -0.3 pts |
| 118 | Chile | 42.1 | +1.1 pts |
| 119 | Paraguay | 42 | +0.2 pts |
| 120 | Bosnia and Herzegovina | 41.9 | +0.3 pts |
| 121 | Costa Rica | 41.7 | +0.2 pts |
| 122 | Saint Vincent and the Grenadines | 41.7 | +0.4 pts |
| 123 | Ecuador | 41.6 | +0.4 pts |
| 124 | Malta | 41.5 | +1.3 pts |
| 125 | Guinea | 41.5 | +0.3 pts |
| 126 | Philippines | 41.4 | +1.9 pts |
| 127 | Suriname | 41.4 | +0.3 pts |
| 128 | North Macedonia | 41.4 | +0.3 pts |
| 129 | El Salvador | 41.3 | +0.1 pts |
| 130 | Colombia | 41.2 | +0.2 pts |
| 131 | Dominican Republic | 40.5 | -0.5 pts |
| 132 | Chad | 40.3 | -0.5 pts |
| 133 | Equatorial Guinea | 40 | -0.3 pts |
| 134 | Cuba | 39.9 | -1.1 pts |
| 135 | Gabon | 39.7 | -0.3 pts |
| 136 | Panama | 39.6 | +0.4 pts |
| 137 | Mexico | 39.5 | +0.6 pts |
| 138 | Kyrgyzstan | 39.4 | +1 pts |
| 139 | Nicaragua | 39.3 | +0.6 pts |
| 140 | Indonesia | 39.3 | -0.3 pts |
| 141 | Mali | 39.1 | -0.2 pts |
| 142 | Brunei | 39 | -0.9 pts |
| 143 | Bhutan | 38.3 | -4.9 pts |
| 144 | Mauritius | 38.1 | -0.2 pts |
| 145 | Myanmar | 37.7 | 0 pts |
| 146 | Belize | 37.3 | -1.5 pts |
| 147 | Honduras | 37.2 | -2.4 pts |
| 148 | Malaysia | 36.8 | -0.1 pts |
| 149 | Nepal | 36.7 | +0.1 pts |
| 150 | Bangladesh | 36.5 | +0.8 pts |
| 151 | Senegal | 36.2 | -0.3 pts |
| 152 | Samoa | 35.9 | -1.1 pts |
| 153 | Uzbekistan | 35.7 | +0.3 pts |
| 154 | Venezuela | 35.6 | -3.8 pts |
| 155 | Guatemala | 34.3 | -0.1 pts |
| 156 | Libya | 34.1 | 0 pts |
| 157 | Fiji | 34 | -0.1 pts |
| 158 | Sri Lanka | 33.3 | +0.4 pts |
| 159 | Mauritania | 33.2 | -0.3 pts |
| 160 | Türkiye | 33.2 | +1.1 pts |
| 161 | Somalia | 30.7 | -0.6 pts |
| 162 | Tunisia | 30.4 | +0.2 pts |
| 163 | Djibouti | 29.9 | +0.2 pts |
| 164 | Tajikistan | 29.2 | +0.5 pts |
| 165 | Lebanon | 27 | -0.5 pts |
| 166 | India | 26.6 | +1 pts |
| 167 | Kuwait | 24.4 | -0.7 pts |
| 168 | United Arab Emirates | 22.8 | +1.2 pts |
| 169 | Pakistan | 22.6 | -0.1 pts |
| 170 | Maldives | 22.5 | -0.2 pts |
| 171 | Morocco | 22 | -0.7 pts |
| 172 | Palestine | 21.5 | +0.8 pts |
| 173 | Bahrain | 21.3 | +0.1 pts |
| 174 | Sudan | 19.7 | -1.4 pts |
| 175 | Saudi Arabia | 19.3 | -0.1 pts |
| 176 | Qatar | 17.8 | +0.6 pts |
| 177 | Egypt | 17.7 | -0.4 pts |
| 178 | Syria | 17.6 | -0.2 pts |
| 179 | Jordan | 17.3 | 0 pts |
| 180 | Algeria | 16.8 | -0.3 pts |
| 181 | Iran | 16.4 | +0.7 pts |
| 182 | Oman | 15.6 | -0.2 pts |
| 183 | Iraq | 13.6 | -0.3 pts |
| 184 | Yemen | 7.2 | -0.3 pts |
| 185 | Afghanistan | 6.9 | -11.1 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. 1 countries with data in other periods have no value for 2022 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, 2022) [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, 2022. 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?period=2022. 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, 2022. 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?period=2022.
Harvard
World Bank (2026) Labor force, female (% of total labor force) (SL.TLF.TOTL.FE.ZS), Countries by women in the labour force, 2022 [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?period=2022 (Accessed: 18 October 2026).
BibTeX
@misc{world_countries_by_women_in_2022,
author = {{World Bank}},
title = {{Labor force, female (\% of total labor force) (SL.TLF.TOTL.FE.ZS): Countries by women in the labour force, 2022}},
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?period=2022. 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, 2022
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?period=2022
Y2 - 2026/10/18
N1 - Accessed via Invokely, https://invokely.ai/rankings/women-share-of-labor-force/countries?period=2022.
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 54.5% in 2022, according to the World Bank.
Which country has the lowest women in the labour force?
Afghanistan, with 6.9% in 2022.
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. 1 countries have no value for 2022 and are not ranked.