Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) - Country Ranking

Definition: Labor force participation rate is the proportion of the population ages 15-64 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 Iceland 85.80 2019
2 Madagascar 85.16 2019
3 Rwanda 84.63 2019
4 Nepal 84.58 2019
5 Burundi 81.67 2019
6 Sweden 81.22 2019
7 Dem. People's Rep. Korea 81.19 2019
8 Lao PDR 80.81 2019
9 Tanzania 80.77 2019
10 Zimbabwe 79.65 2019
11 Switzerland 79.63 2019
12 Vietnam 79.18 2019
13 Mozambique 77.79 2019
14 Togo 77.49 2019
15 Cambodia 77.34 2019
16 Ethiopia 77.11 2019
17 Eritrea 76.54 2019
18 New Zealand 76.53 2019
19 Angola 76.36 2019
20 Denmark 76.22 2019
21 The Bahamas 75.95 2019
22 Netherlands 75.63 2019
23 Norway 75.28 2019
24 Canada 75.26 2019
25 Estonia 75.26 2019
26 Finland 75.21 2019
27 Lithuania 75.19 2019
28 Barbados 74.97 2019
29 Latvia 74.71 2019
30 Belarus 74.68 2019
31 Malawi 74.38 2019
32 Germany 74.35 2019
33 Macao SAR, China 73.80 2019
34 Kazakhstan 73.72 2019
35 Peru 73.67 2019
36 United Kingdom 72.96 2019
37 Australia 72.61 2019
38 Cameroon 71.97 2019
39 Austria 71.86 2019
40 Portugal 71.85 2019
41 Zambia 71.77 2019
42 Slovenia 71.48 2019
43 Benin 70.71 2019
44 Cabo Verde 70.21 2019
45 Japan 70.12 2019
46 Czech Republic 69.54 2019
47 Botswana 69.52 2019
48 Singapore 69.32 2019
49 Azerbaijan 69.27 2019
50 Israel 69.27 2019
51 Cyprus 69.10 2019
52 Russia 68.92 2019
53 Niger 68.80 2019
54 Spain 68.77 2019
55 Guinea-Bissau 68.75 2019
56 China 68.73 2019
57 Uruguay 68.65 2019
58 Uganda 68.59 2019
59 St. Lucia 68.14 2019
60 Congo 68.02 2019
61 France 67.69 2019
62 Bulgaria 67.68 2019
63 Jamaica 67.35 2019
64 Thailand 67.18 2019
65 United States 66.75 2019
66 Ireland 66.67 2019
67 Slovak Republic 66.66 2019
68 Guinea 66.37 2019
69 Central African Republic 66.04 2019
70 Luxembourg 65.91 2019
71 New Caledonia 65.90 2019
72 Hong Kong SAR, China 65.49 2019
73 Hungary 65.34 2019
74 Chad 65.27 2019
75 Haiti 65.16 2019
76 Ghana 65.15 2019
77 Kenya 64.14 2019
78 Colombia 63.94 2019
79 St. Vincent and the Grenadines 63.74 2019
80 Georgia 63.71 2019
81 Belgium 63.53 2019
82 Poland 63.38 2019
83 Mali 63.38 2019
84 Solomon Islands 63.35 2019
85 Vanuatu 62.47 2019
86 Croatia 62.22 2019
87 Brunei 62.21 2019
88 Lesotho 62.15 2019
89 Dem. Rep. Congo 61.41 2019
90 Paraguay 60.93 2019
91 Bhutan 60.92 2019
92 Brazil 60.73 2019
93 Ukraine 60.50 2019
94 Greece 60.50 2019
95 Ecuador 59.90 2019
96 Burkina Faso 59.82 2019
97 Korea 59.63 2019
98 Serbia 59.56 2019
99 Namibia 59.21 2019
100 Qatar 58.87 2019
101 Sierra Leone 58.83 2019
102 Kuwait 58.72 2019
103 Chile 58.51 2019
104 Djibouti 58.33 2019
105 Bolivia 58.18 2019
106 Romania 58.12 2019
107 Trinidad and Tobago 58.00 2019
108 Malta 57.71 2019
109 Panama 57.56 2019
110 Uzbekistan 57.06 2019
111 Argentina 57.03 2019
112 Equatorial Guinea 56.84 2019
113 Mongolia 56.49 2019
114 Turkmenistan 56.32 2019
115 Armenia 56.15 2019
116 Albania 56.15 2019
117 Belize 55.98 2019
118 Italy 55.76 2019
119 Liberia 55.71 2019
120 Malaysia 55.32 2019
121 Dominican Republic 55.27 2019
122 Indonesia 54.44 2019
123 Nicaragua 54.27 2019
124 Montenegro 53.86 2019
125 South Africa 53.48 2019
126 The Gambia 53.07 2019
127 Mauritius 52.44 2019
128 Costa Rica 52.21 2019
129 Venezuela 52.15 2019
130 North Macedonia 52.07 2019
131 United Arab Emirates 51.95 2019
132 Myanmar 51.60 2019
133 Kyrgyz Republic 51.52 2019
134 Nigeria 50.53 2019
135 Afghanistan 50.50 2019
136 El Salvador 50.31 2019
137 Honduras 49.39 2019
138 Côte d'Ivoire 49.37 2019
139 Cuba 49.02 2019
140 Philippines 47.93 2019
141 Papua New Guinea 47.60 2019
142 Tonga 47.36 2019
143 Mexico 47.32 2019
144 Bahrain 46.28 2019
145 Gabon 45.75 2019
146 Bosnia and Herzegovina 45.33 2019
147 São Tomé and Principe 45.10 2019
148 Moldova 44.53 2019
149 Guyana 44.52 2019
150 Eswatini 44.01 2019
151 Suriname 43.85 2019
152 Guatemala 43.08 2019
153 Fiji 41.08 2019
154 Puerto Rico 40.01 2019
155 Comoros 38.68 2019
156 Bangladesh 38.27 2019
157 Sri Lanka 38.14 2019
158 Turkey 37.61 2019
159 Senegal 36.58 2019
160 Oman 32.44 2019
161 Mauritania 30.23 2019
162 Tajikistan 29.30 2019
163 Libya 27.33 2019
164 Tunisia 27.06 2019
165 Lebanon 26.50 2019
166 Pakistan 25.42 2019
167 Timor-Leste 25.42 2019
168 Samoa 25.36 2019
169 Sudan 25.15 2019
170 Egypt 24.85 2019
171 Saudi Arabia 24.73 2019
172 India 24.67 2019
173 Morocco 23.09 2019
174 Somalia 19.89 2019
175 Iran 17.77 2019
176 Algeria 16.47 2019
177 Jordan 15.11 2019
178 Iraq 13.15 2019
179 Syrian Arab Republic 12.66 2019
180 Yemen 6.09 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.