Ratio of female to male labor force participation rate (%) (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. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.

Source: Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Burundi 103.55 2019
2 Rwanda 100.83 2019
3 Sierra Leone 98.71 2019
4 Guinea 98.55 2019
5 Mozambique 97.17 2019
6 Nepal 96.86 2019
7 Lao PDR 96.27 2019
8 Papua New Guinea 96.26 2019
9 Togo 95.62 2019
10 Liberia 95.17 2019
11 Benin 94.57 2019
12 Angola 94.23 2019
13 Madagascar 93.68 2019
14 Congo 93.53 2019
15 Kenya 92.05 2019
16 Dem. Rep. Congo 91.38 2019
17 Tanzania 90.91 2019
18 Azerbaijan 90.72 2019
19 Sweden 90.53 2019
20 Norway 90.52 2019
21 Uganda 89.68 2019
22 Cabo Verde 89.52 2019
23 Iceland 89.52 2019
24 Barbados 88.97 2019
25 Ghana 88.86 2019
26 Zambia 88.78 2019
27 Malawi 88.58 2019
28 Finland 88.51 2019
29 Zimbabwe 88.42 2019
30 Vietnam 88.13 2019
31 Denmark 88.07 2019
32 Cameroon 87.40 2019
33 Canada 87.36 2019
34 Haiti 87.10 2019
35 Ethiopia 85.98 2019
36 Israel 85.84 2019
37 Namibia 85.66 2019
38 Cambodia 85.59 2019
39 Luxembourg 85.54 2019
40 Cyprus 85.50 2019
41 Guinea-Bissau 85.49 2019
42 Macao SAR, China 85.41 2019
43 New Zealand 85.37 2019
44 Slovenia 85.30 2019
45 Eritrea 85.21 2019
46 Dem. People's Rep. Korea 85.07 2019
47 Nigeria 84.82 2019
48 Switzerland 84.78 2019
49 Australia 84.71 2019
50 Moldova 84.61 2019
51 Lithuania 84.60 2019
52 Netherlands 84.43 2019
53 United Kingdom 84.39 2019
54 Botswana 84.37 2019
55 Kazakhstan 84.34 2019
56 New Caledonia 84.23 2019
57 France 84.10 2019
58 Portugal 83.98 2019
59 Germany 83.65 2019
60 Austria 83.39 2019
61 Chad 83.31 2019
62 Peru 82.75 2019
63 Belarus 82.65 2019
64 The Bahamas 82.41 2019
65 United States 82.12 2019
66 Equatorial Guinea 82.08 2019
67 Jamaica 81.99 2019
68 Spain 81.79 2019
69 Latvia 81.67 2019
70 Belgium 81.64 2019
71 Brunei 81.44 2019
72 Ireland 81.16 2019
73 Central African Republic 81.00 2019
74 Estonia 80.49 2019
75 China 80.39 2019
76 Bulgaria 80.37 2019
77 St. Lucia 80.20 2019
78 Mongolia 79.84 2019
79 Hong Kong SAR, China 79.74 2019
80 Lesotho 79.65 2019
81 Singapore 79.34 2019
82 Croatia 78.81 2019
83 Slovak Republic 78.33 2019
84 Bhutan 78.28 2019
85 Thailand 77.97 2019
86 South Africa 77.92 2019
87 Russia 77.84 2019
88 Burkina Faso 77.76 2019
89 Solomon Islands 77.71 2019
90 Vanuatu 77.20 2019
91 Djibouti 77.18 2019
92 Czech Republic 76.86 2019
93 The Gambia 76.59 2019
94 Mali 75.80 2019
95 Uruguay 75.77 2019
96 Serbia 75.34 2019
97 Montenegro 75.19 2019
98 Greece 74.82 2019
99 Poland 74.68 2019
100 Hungary 74.54 2019
101 Niger 74.37 2019
102 Ukraine 74.20 2019
103 Comoros 74.14 2019
104 Georgia 73.50 2019
105 Côte d'Ivoire 73.39 2019
106 Japan 72.96 2019
107 Albania 72.71 2019
108 St. Vincent and the Grenadines 72.58 2019
109 Brazil 72.56 2019
110 Gabon 72.54 2019
111 Korea 71.94 2019
112 Colombia 71.53 2019
113 Bolivia 71.34 2019
114 Armenia 71.03 2019
115 Trinidad and Tobago 70.89 2019
116 Romania 70.75 2019
117 Ecuador 69.31 2019
118 Chile 68.92 2019
119 Italy 68.71 2019
120 Uzbekistan 68.40 2019
121 Paraguay 68.05 2019
122 Turkmenistan 67.37 2019
123 Kuwait 67.24 2019
124 Argentina 67.15 2019
125 Malaysia 65.88 2019
126 Belize 65.83 2019
127 Dominican Republic 65.75 2019
128 Malta 65.54 2019
129 Panama 65.35 2019
130 Indonesia 63.92 2019
131 North Macedonia 63.44 2019
132 Kyrgyz Republic 63.01 2019
133 Puerto Rico 62.95 2019
134 Eswatini 62.95 2019
135 Mauritius 62.91 2019
136 Venezuela 62.13 2019
137 Philippines 61.97 2019
138 Myanmar 61.72 2019
139 Costa Rica 61.62 2019
140 Suriname 61.49 2019
141 Samoa 61.32 2019
142 Tonga 61.02 2019
143 Nicaragua 60.85 2019
144 Bosnia and Herzegovina 60.77 2019
145 Qatar 60.71 2019
146 Senegal 60.27 2019
147 Afghanistan 59.48 2019
148 Cuba 59.25 2019
149 El Salvador 58.64 2019
150 São Tomé and Principe 56.75 2019
151 Honduras 56.62 2019
152 Guyana 56.21 2019
153 Mexico 55.70 2019
154 United Arab Emirates 54.67 2019
155 Bahrain 51.02 2019
156 Fiji 50.43 2019
157 Sri Lanka 48.37 2019
158 Guatemala 48.26 2019
159 Timor-Leste 47.36 2019
160 Mauritania 46.25 2019
161 Tajikistan 46.23 2019
162 Turkey 46.21 2019
163 Bangladesh 44.50 2019
164 Sudan 34.84 2019
165 Oman 34.60 2019
166 Tunisia 34.33 2019
167 Lebanon 33.15 2019
168 Libya 32.60 2019
169 Egypt 31.33 2019
170 Morocco 30.41 2019
171 India 29.80 2019
172 Pakistan 29.57 2019
173 Saudi Arabia 29.50 2019
174 Somalia 25.79 2019
175 Iran 23.34 2019
176 Algeria 22.21 2019
177 Jordan 22.21 2019
178 Iraq 17.14 2019
179 Syrian Arab Republic 16.83 2019
180 Yemen 8.22 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.