Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) - Country Ranking

Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.

Source: International Labour Organization, ILOSTAT database. Data retrieved in September 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Rwanda 84.16 2019
2 Madagascar 83.70 2019
3 Nepal 81.69 2019
4 Burundi 80.36 2019
5 Tanzania 79.20 2019
6 Zimbabwe 78.73 2019
7 Mozambique 77.28 2019
8 Lao PDR 76.82 2019
9 Togo 75.83 2019
10 Angola 75.37 2019
11 Cambodia 75.20 2019
12 Ethiopia 74.37 2019
13 Dem. People's Rep. Korea 74.21 2019
14 Eritrea 74.17 2019
15 Malawi 72.86 2019
16 Vietnam 72.54 2019
17 Iceland 71.80 2019
18 Cameroon 71.03 2019
19 Zambia 70.79 2019
20 Peru 70.19 2019
21 Benin 69.34 2019
22 The Bahamas 67.54 2019
23 Guinea-Bissau 67.46 2019
24 Uganda 67.27 2019
25 Niger 67.23 2019
26 Congo 66.82 2019
27 Botswana 66.52 2019
28 Cabo Verde 65.51 2019
29 Macao SAR, China 65.24 2019
30 Kazakhstan 64.83 2019
31 Chad 64.81 2019
32 Central African Republic 64.67 2019
33 New Zealand 64.53 2019
34 Guinea 64.13 2019
35 Kenya 63.58 2019
36 Haiti 63.53 2019
37 Ghana 63.51 2019
38 Azerbaijan 62.92 2019
39 Switzerland 62.59 2019
40 Solomon Islands 62.36 2019
41 Vanuatu 61.53 2019
42 Barbados 61.53 2019
43 Mali 61.31 2019
44 Sweden 61.17 2019
45 Canada 60.66 2019
46 Jamaica 60.64 2019
47 China 60.64 2019
48 Dem. Rep. Congo 60.55 2019
49 Singapore 60.37 2019
50 St. Lucia 60.36 2019
51 Norway 60.19 2019
52 Lesotho 59.82 2019
53 Australia 59.59 2019
54 Israel 59.21 2019
55 Thailand 59.15 2019
56 Colombia 58.61 2019
57 Bhutan 58.39 2019
58 Burkina Faso 58.29 2019
59 Brunei 58.07 2019
60 Denmark 57.99 2019
61 Georgia 57.89 2019
62 Netherlands 57.88 2019
63 Belarus 57.83 2019
64 Qatar 57.69 2019
65 Sierra Leone 57.58 2019
66 Kuwait 57.33 2019
67 St. Vincent and the Grenadines 57.31 2019
68 Cyprus 57.20 2019
69 Paraguay 57.19 2019
70 United Kingdom 57.12 2019
71 New Caledonia 57.10 2019
72 Estonia 56.74 2019
73 Namibia 56.71 2019
74 Ecuador 56.63 2019
75 Bolivia 56.61 2019
76 Lithuania 56.42 2019
77 Uruguay 55.93 2019
78 United States 55.78 2019
79 Equatorial Guinea 55.29 2019
80 Germany 55.27 2019
81 Latvia 55.18 2019
82 Djibouti 54.91 2019
83 Finland 54.86 2019
84 Ireland 54.84 2019
85 Austria 54.75 2019
86 Liberia 54.65 2019
87 Russia 54.51 2019
88 Brazil 53.88 2019
89 Hong Kong SAR, China 53.81 2019
90 Belize 53.65 2019
91 Portugal 53.56 2019
92 Luxembourg 53.49 2019
93 Uzbekistan 53.36 2019
94 Mongolia 53.16 2019
95 Slovenia 52.93 2019
96 Korea 52.72 2019
97 Turkmenistan 52.63 2019
98 Panama 52.51 2019
99 Slovak Republic 52.48 2019
100 Czech Republic 52.33 2019
101 Indonesia 52.31 2019
102 The Gambia 51.85 2019
103 Spain 51.40 2019
104 Japan 51.37 2019
105 Chile 51.13 2019
106 Malaysia 51.11 2019
107 United Arab Emirates 51.07 2019
108 Dominican Republic 51.00 2019
109 Nicaragua 50.90 2019
110 Nigeria 50.62 2019
111 France 50.25 2019
112 Trinidad and Tobago 50.15 2019
113 Armenia 49.67 2019
114 Bulgaria 49.42 2019
115 Afghanistan 48.85 2019
116 Argentina 48.81 2019
117 South Africa 48.77 2019
118 Poland 48.67 2019
119 Côte d'Ivoire 48.35 2019
120 Hungary 48.32 2019
121 Belgium 47.87 2019
122 Venezuela 47.78 2019
123 Kyrgyz Republic 47.74 2019
124 Myanmar 47.55 2019
125 Honduras 47.32 2019
126 Albania 47.08 2019
127 Serbia 46.57 2019
128 Ukraine 46.40 2019
129 El Salvador 46.29 2019
130 Philippines 45.90 2019
131 Costa Rica 45.86 2019
132 Papua New Guinea 45.74 2019
133 Croatia 45.62 2019
134 Tonga 45.21 2019
135 Romania 45.17 2019
136 Greece 45.08 2019
137 Mauritius 44.94 2019
138 Bahrain 44.61 2019
139 Mexico 43.90 2019
140 Gabon 43.70 2019
141 Montenegro 43.47 2019
142 Malta 43.24 2019
143 São Tomé and Principe 43.20 2019
144 North Macedonia 42.70 2019
145 Eswatini 41.64 2019
146 Guyana 41.32 2019
147 Guatemala 41.06 2019
148 Italy 39.89 2019
149 Cuba 39.85 2019
150 Suriname 39.34 2019
151 Moldova 38.44 2019
152 Fiji 38.25 2019
153 Comoros 37.64 2019
154 Bangladesh 36.14 2019
155 Bosnia and Herzegovina 35.52 2019
156 Senegal 35.29 2019
157 Sri Lanka 34.76 2019
158 Turkey 33.46 2019
159 Puerto Rico 32.15 2019
160 Oman 30.93 2019
161 Mauritania 29.22 2019
162 Tajikistan 27.69 2019
163 Libya 25.74 2019
164 Timor-Leste 24.85 2019
165 Sudan 24.46 2019
166 Pakistan 24.10 2019
167 Tunisia 23.91 2019
168 Samoa 23.59 2019
169 Lebanon 23.54 2019
170 Saudi Arabia 23.45 2019
171 India 23.41 2019
172 Egypt 22.94 2019
173 Morocco 21.34 2019
174 Somalia 19.19 2019
175 Iran 16.56 2019
176 Algeria 14.92 2019
177 Jordan 14.16 2019
178 Iraq 12.45 2019
179 Syrian Arab Republic 11.75 2019
180 Yemen 5.83 2019

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Development Relevance: Estimates of women in the labor force and employment are generally lower than those of men and are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic. In many low-income countries women often work on farms or in other family enterprises without pay, and others work in or near their homes, mixing work and family activities during the day. In many high-income economies, women have been increasingly acquiring higher education that has led to better-compensated, longer-term careers rather than lower-skilled, shorter-term jobs. However, access to good- paying occupations for women remains unequal in many occupations and countries around the world. Labor force statistics by gender is important to monitor gender disparities in employment and unemployment patterns.

Limitations and Exceptions: Data on the labor force are compiled by the ILO from labor force surveys, censuses, and establishment censuses and surveys. For some countries a combination of these sources is used. Labor force surveys are the most comprehensive source for internationally comparable labor force data. They can cover all non-institutionalized civilians, all branches and sectors of the economy, and all categories of workers, including people holding multiple jobs. By contrast, labor force data from population censuses are often based on a limited number of questions on the economic characteristics of individuals, with little scope to probe. The resulting data often differ from labor force survey data and vary considerably by country, depending on the census scope and coverage. Establishment censuses and surveys provide data only on the employed population, not unemployed workers, workers in small establishments, or workers in the informal sector. The reference period of a census or survey is another important source of differences: in some countries data refer to people's status on the day of the census or survey or during a specific period before the inquiry date, while in others data are recorded without reference to any period. In countries, where the household is the basic unit of production and all members contribute to output, but some at low intensity or irregularly, the estimated labor force may be much smaller than the numbers actually working. Differing definitions of employment age also affect comparability. For most countries the working age is 15 and older, but in some countries children younger than 15 work full- or part-time and are included in the estimates. Similarly, some countries have an upper age limit. As a result, calculations may systematically over- or underestimate actual rates.

Statistical Concept and Methodology: The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. The series is part of the ILO estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.