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 November 2017.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Mozambique 110.65 2017
2 Burundi 103.57 2017
3 Rwanda 99.72 2017
4 Papua New Guinea 97.37 2017
5 Sierra Leone 97.35 2017
6 Dem. Rep. Congo 97.10 2017
7 Lao PDR 96.44 2017
8 Nepal 96.35 2017
9 Guinea 96.31 2017
10 Togo 95.55 2017
11 Ghana 94.44 2017
12 Angola 94.05 2017
13 Liberia 93.96 2017
14 Benin 93.92 2017
15 Congo 93.66 2017
16 Madagascar 93.51 2017
17 Cambodia 91.27 2017
18 Kenya 91.19 2017
19 Tanzania 90.94 2017
20 Azerbaijan 90.54 2017
21 Sweden 90.21 2017
22 Equatorial Guinea 90.07 2017
23 Norway 89.99 2017
24 Namibia 89.74 2017
25 Iceland 89.05 2017
26 Barbados 88.88 2017
27 Uganda 88.88 2017
28 Finland 88.56 2017
29 Malawi 88.36 2017
30 Zimbabwe 88.14 2017
31 Denmark 88.09 2017
32 Zambia 88.04 2017
33 Ethiopia 87.92 2017
34 Haiti 87.88 2017
35 Vietnam 87.75 2017
36 Cameroon 87.68 2017
37 Canada 86.91 2017
38 Macao SAR, China 86.90 2017
39 Eritrea 86.32 2017
40 Moldova 86.14 2017
41 Cyprus 85.99 2017
42 Israel 85.82 2017
43 Dem. People's Rep. Korea 85.59 2017
44 The Bahamas 85.33 2017
45 New Zealand 85.30 2017
46 Slovenia 84.95 2017
47 Switzerland 84.79 2017
48 Kazakhstan 84.60 2017
49 New Caledonia 84.49 2017
50 Lithuania 84.47 2017
51 Nigeria 84.33 2017
52 France 84.11 2017
53 Guinea-Bissau 84.00 2017
54 Australia 83.96 2017
55 Netherlands 83.77 2017
56 Botswana 83.67 2017
57 Portugal 83.60 2017
58 Chad 83.49 2017
59 United Kingdom 83.42 2017
60 Austria 83.24 2017
61 Germany 83.16 2017
62 Belarus 82.69 2017
63 Luxembourg 82.33 2017
64 Latvia 82.09 2017
65 Spain 81.77 2017
66 Peru 81.69 2017
67 United States 81.64 2017
68 Belgium 81.39 2017
69 China 80.81 2017
70 St. Lucia 80.55 2017
71 Estonia 80.23 2017
72 Bulgaria 80.22 2017
73 Lesotho 79.68 2017
74 Mongolia 79.63 2017
75 Hong Kong SAR, China 79.38 2017
76 Central African Republic 79.22 2017
77 Brunei 79.03 2017
78 Russia 78.88 2017
79 Croatia 78.84 2017
80 Singapore 78.79 2017
81 Ireland 78.77 2017
82 Thailand 78.27 2017
83 Bhutan 78.13 2017
84 Solomon Islands 77.76 2017
85 Slovak Republic 77.48 2017
86 Burkina Faso 77.37 2017
87 Vanuatu 77.30 2017
88 South Africa 77.16 2017
89 Montenegro 76.59 2017
90 Czech Republic 76.07 2017
91 The Gambia 75.62 2017
92 Uruguay 75.40 2017
93 Greece 75.10 2017
94 Poland 74.93 2017
95 Hungary 74.61 2017
96 Ukraine 74.51 2017
97 Niger 74.44 2017
98 Serbia 74.35 2017
99 Jamaica 74.00 2017
100 Mali 73.61 2017
101 Georgia 73.42 2017
102 St. Vincent and the Grenadines 73.02 2017
103 Armenia 72.88 2017
104 Albania 72.80 2017
105 Côte d'Ivoire 72.71 2017
106 Djibouti 72.18 2017
107 Gabon 72.15 2017
108 Comoros 71.61 2017
109 Japan 71.58 2017
110 Korea 71.38 2017
111 Colombia 71.20 2017
112 Brazil 71.19 2017
113 Romania 69.86 2017
114 Cabo Verde 69.35 2017
115 Trinidad and Tobago 69.25 2017
116 Uzbekistan 69.09 2017
117 Bolivia 69.06 2017
118 Dominican Republic 68.43 2017
119 Turkmenistan 68.22 2017
120 Ecuador 68.15 2017
121 Chile 67.97 2017
122 Italy 67.76 2017
123 Paraguay 67.44 2017
124 Philippines 65.99 2017
125 Malaysia 65.71 2017
126 Belize 65.53 2017
127 Senegal 65.17 2017
128 Puerto Rico 65.05 2017
129 Panama 65.04 2017
130 Venezuela 64.88 2017
131 Argentina 64.62 2017
132 Myanmar 64.20 2017
133 Suriname 63.98 2017
134 Kyrgyz Republic 63.62 2017
135 Malta 63.50 2017
136 Swaziland 63.46 2017
137 Macedonia 62.82 2017
138 Mauritius 62.05 2017
139 Tajikistan 62.05 2017
140 Indonesia 62.02 2017
141 Cuba 61.56 2017
142 Qatar 61.41 2017
143 Costa Rica 61.31 2017
144 Samoa 61.08 2017
145 Tonga 60.87 2017
146 Bosnia and Herzegovina 59.96 2017
147 Nicaragua 59.93 2017
148 El Salvador 59.64 2017
149 Honduras 59.33 2017
150 Kuwait 56.39 2017
151 Mexico 55.86 2017
152 São Tomé and Principe 54.80 2017
153 Guyana 54.59 2017
154 Fiji 54.07 2017
155 Bahrain 50.64 2017
156 Guatemala 47.81 2017
157 Timor-Leste 47.57 2017
158 Sri Lanka 47.29 2017
159 Mauritania 45.77 2017
160 Turkey 44.99 2017
161 United Arab Emirates 44.48 2017
162 Bangladesh 41.40 2017
163 Oman 34.56 2017
164 India 34.51 2017
165 Tunisia 34.37 2017
166 Sudan 33.81 2017
167 Morocco 33.67 2017
168 Libya 32.66 2017
169 Lebanon 32.59 2017
170 Pakistan 30.14 2017
171 Egypt 30.09 2017
172 Saudi Arabia 27.99 2017
173 Iraq 25.26 2017
174 Somalia 25.08 2017
175 Iran 23.60 2017
176 Algeria 22.62 2017
177 Afghanistan 22.46 2017
178 Jordan 21.92 2017
179 Syrian Arab Republic 16.92 2017
180 Yemen 8.61 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.