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. Early release of the 2017 ILO Labour Force Estimates and Projections, retrieved in November 2017.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Rwanda 86.04 2017
2 Madagascar 83.61 2017
3 Nepal 82.73 2017
4 Mozambique 82.53 2017
5 Cambodia 80.94 2017
6 Burundi 80.21 2017
7 Tanzania 79.46 2017
8 Zimbabwe 78.54 2017
9 Ethiopia 77.22 2017
10 Lao PDR 76.87 2017
11 Togo 75.82 2017
12 Eritrea 75.44 2017
13 Angola 75.32 2017
14 Ghana 74.77 2017
15 Dem. People's Rep. Korea 74.42 2017
16 Vietnam 73.24 2017
17 Iceland 72.83 2017
18 Malawi 72.33 2017
19 Dem. Rep. Congo 71.37 2017
20 Cameroon 71.23 2017
21 Zambia 70.13 2017
22 The Bahamas 69.97 2017
23 Peru 68.99 2017
24 Papua New Guinea 68.99 2017
25 Benin 68.69 2017
26 Niger 67.49 2017
27 Congo 67.40 2017
28 Uganda 66.58 2017
29 Macao SAR, China 66.08 2017
30 Botswana 65.61 2017
31 Guinea-Bissau 65.56 2017
32 Kazakhstan 65.38 2017
33 Chad 64.77 2017
34 New Zealand 63.86 2017
35 Haiti 63.83 2017
36 Central African Republic 63.34 2017
37 Guinea 63.02 2017
38 Azerbaijan 62.91 2017
39 Switzerland 62.87 2017
40 Solomon Islands 62.47 2017
41 Kenya 62.44 2017
42 Barbados 62.25 2017
43 Vanuatu 61.53 2017
44 China 61.48 2017
45 St. Lucia 61.16 2017
46 Norway 60.83 2017
47 Mali 60.76 2017
48 Sweden 60.76 2017
49 Canada 60.69 2017
50 Singapore 60.47 2017
51 Thailand 60.47 2017
52 Israel 59.34 2017
53 Lesotho 59.27 2017
54 Australia 59.21 2017
55 Denmark 59.18 2017
56 Brunei 59.02 2017
57 Colombia 58.80 2017
58 St. Vincent and the Grenadines 58.64 2017
59 Namibia 58.50 2017
60 Belarus 58.44 2017
61 Burkina Faso 58.15 2017
62 Qatar 58.09 2017
63 Cyprus 58.08 2017
64 Bhutan 58.03 2017
65 Netherlands 57.97 2017
66 Georgia 57.87 2017
67 New Caledonia 57.45 2017
68 Jamaica 57.29 2017
69 Sierra Leone 57.14 2017
70 United Kingdom 56.82 2017
71 Russia 56.64 2017
72 Paraguay 56.58 2017
73 Estonia 56.36 2017
74 Uruguay 56.12 2017
75 Lithuania 55.91 2017
76 United States 55.73 2017
77 Equatorial Guinea 55.67 2017
78 Ecuador 55.42 2017
79 Latvia 55.21 2017
80 Bolivia 55.15 2017
81 Germany 55.03 2017
82 Austria 54.95 2017
83 Finland 54.81 2017
84 Dominican Republic 54.37 2017
85 Hong Kong SAR, China 54.03 2017
86 Liberia 53.94 2017
87 Uzbekistan 53.80 2017
88 Turkmenistan 53.37 2017
89 Portugal 53.31 2017
90 Belize 53.24 2017
91 Brazil 53.20 2017
92 Ireland 52.98 2017
93 Panama 52.80 2017
94 Mongolia 52.73 2017
95 Slovak Republic 52.45 2017
96 Luxembourg 52.27 2017
97 Korea 52.21 2017
98 Spain 52.15 2017
99 Czech Republic 51.96 2017
100 Slovenia 51.73 2017
101 Armenia 51.43 2017
102 Myanmar 51.27 2017
103 The Gambia 51.23 2017
104 Trinidad and Tobago 51.01 2017
105 Honduras 50.88 2017
106 Malaysia 50.78 2017
107 Indonesia 50.74 2017
108 Chile 50.58 2017
109 France 50.56 2017
110 Japan 50.50 2017
111 Nigeria 50.43 2017
112 Nicaragua 50.32 2017
113 Venezuela 50.24 2017
114 Philippines 49.58 2017
115 Cabo Verde 49.55 2017
116 Djibouti 49.46 2017
117 Poland 48.78 2017
118 Kyrgyz Republic 48.19 2017
119 Côte d'Ivoire 48.11 2017
120 Hungary 47.91 2017
121 South Africa 47.85 2017
122 Belgium 47.81 2017
123 Bulgaria 47.77 2017
124 Kuwait 47.40 2017
125 Argentina 47.33 2017
126 Albania 47.22 2017
127 El Salvador 46.97 2017
128 Ukraine 46.94 2017
129 Serbia 45.85 2017
130 Senegal 45.53 2017
131 Greece 45.50 2017
132 Croatia 45.49 2017
133 Tajikistan 45.46 2017
134 Costa Rica 45.33 2017
135 Tonga 45.14 2017
136 Mauritius 45.13 2017
137 Mexico 44.12 2017
138 Romania 44.10 2017
139 Bahrain 44.04 2017
140 Gabon 42.86 2017
141 Swaziland 42.66 2017
142 Macedonia 42.46 2017
143 Malta 42.30 2017
144 Montenegro 42.15 2017
145 Suriname 41.75 2017
146 Cuba 41.46 2017
147 São Tomé and Principe 41.31 2017
148 United Arab Emirates 40.91 2017
149 Fiji 40.77 2017
150 Guyana 40.71 2017
151 Guatemala 40.63 2017
152 Italy 39.53 2017
153 Moldova 39.45 2017
154 Comoros 35.95 2017
155 Bosnia and Herzegovina 35.16 2017
156 Sri Lanka 35.05 2017
157 Puerto Rico 33.20 2017
158 Bangladesh 33.04 2017
159 Turkey 32.37 2017
160 Mauritania 31.01 2017
161 Oman 30.17 2017
162 India 27.21 2017
163 Libya 25.81 2017
164 Morocco 24.96 2017
165 Pakistan 24.93 2017
166 Timor-Leste 24.89 2017
167 Tunisia 24.26 2017
168 Samoa 23.74 2017
169 Sudan 23.63 2017
170 Lebanon 23.16 2017
171 Saudi Arabia 22.25 2017
172 Egypt 22.18 2017
173 Afghanistan 19.47 2017
174 Iraq 18.73 2017
175 Somalia 18.63 2017
176 Iran 16.84 2017
177 Algeria 15.23 2017
178 Jordan 13.96 2017
179 Syrian Arab Republic 11.87 2017
180 Yemen 6.00 2017

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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: Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.