Ratio of female to male labor force participation rate (%) (national 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. Labor data retrieved in December 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Togo 124.01 2015
2 Equatorial Guinea 105.15 1994
3 Burundi 102.49 2014
4 Sierra Leone 97.74 2014
5 Mozambique 97.57 2015
6 Papua New Guinea 97.34 2010
7 Zimbabwe 96.86 2014
8 Cayman Islands 95.70 2015
9 Solomon Islands 95.48 2013
10 Guinea 94.60 2002
11 Ghana 93.99 2017
12 Sweden 93.74 2018
13 Benin 93.71 2011
14 Madagascar 93.70 2015
15 Greenland 93.68 2015
16 Seychelles 93.19 2018
17 Norway 93.06 2018
18 Kenya 92.21 2016
19 The Bahamas 91.72 2013
20 Iceland 91.10 2018
21 Tanzania 90.93 2014
22 Uzbekistan 90.90 2017
23 Azerbaijan 90.53 2018
24 Dem. Rep. Congo 89.59 2012
25 Moldova 89.53 2018
26 Barbados 89.29 2016
27 Finland 88.47 2018
28 Namibia 88.39 2018
29 St. Kitts and Nevis 88.19 2001
30 Canada 88.03 2018
31 Denmark 87.68 2018
32 Liberia 87.66 2016
33 Israel 87.61 2018
34 Kazakhstan 87.61 2008
35 Vietnam 87.39 2018
36 Luxembourg 87.27 2018
37 Macao SAR, China 87.24 2017
38 Belarus 86.99 2018
39 Cameroon 86.70 2014
40 New Zealand 86.42 2018
41 St. Lucia 86.21 2016
42 Nigeria 86.20 2016
43 Cambodia 86.20 2016
44 France 85.55 2018
45 New Caledonia 85.30 2014
46 Australia 85.26 2018
47 Netherlands 84.92 2018
48 United Kingdom 84.91 2018
49 Grenada 84.82 2015
50 Switzerland 84.74 2018
51 Antigua and Barbuda 84.67 2001
52 Portugal 84.60 2018
53 Cyprus 84.59 2018
54 Timor-Leste 84.53 2016
55 Eswatini 84.40 2016
56 Malawi 84.12 2017
57 Ethiopia 84.06 2013
58 Slovenia 84.01 2018
59 Belgium 83.88 2018
60 Germany 83.77 2018
61 Lithuania 83.61 2018
62 Austria 83.31 2018
63 United States 82.66 2018
64 Jamaica 82.33 2018
65 Botswana 82.30 2013
66 Spain 82.27 2018
67 Ukraine 82.20 2018
68 Brunei 82.00 2017
69 Ireland 81.78 2018
70 Latvia 81.62 2018
71 China 81.54 2010
72 Lao PDR 80.83 2017
73 Estonia 80.49 2018
74 Chad 79.92 1993
75 Hong Kong SAR, China 79.88 2016
76 Singapore 79.58 2018
77 Bulgaria 79.47 2018
78 Bolivia 79.45 2018
79 Peru 79.30 2018
80 Croatia 79.28 2018
81 Central African Republic 79.26 1988
82 Bhutan 78.59 2015
83 Russia 78.32 2018
84 Liechtenstein 77.97 2017
85 Burkina Faso 77.97 2014
86 Cabo Verde 77.95 2018
87 Thailand 77.95 2018
88 South Africa 77.67 2018
89 Uruguay 77.59 2018
90 Lesotho 77.42 2013
91 San Marino 77.35 2016
92 Slovak Republic 77.09 2018
93 Mongolia 77.08 2018
94 Vanuatu 77.00 2009
95 Czech Republic 76.80 2018
96 Palau 75.83 2014
97 Georgia 75.50 2018
98 Montenegro 74.81 2018
99 Armenia 74.77 2017
100 Poland 74.62 2018
101 Albania 74.47 2017
102 Angola 74.40 2014
103 Serbia 74.27 2018
104 Hungary 74.04 2018
105 Greece 73.83 2018
106 Tonga 73.82 2003
107 Japan 73.74 2018
108 The Gambia 73.51 2012
109 Niger 73.24 2014
110 Brazil 73.01 2018
111 Haiti 72.80 2012
112 Uganda 72.69 2017
113 Korea 72.17 2018
114 Trinidad and Tobago 71.90 2016
115 Rwanda 71.65 2018
116 Colombia 70.83 2018
117 Malta 70.67 2018
118 Paraguay 70.43 2018
119 Côte d'Ivoire 70.32 2017
120 Romania 70.27 2018
121 Argentina 69.74 2018
122 Chile 69.61 2018
123 Monaco 69.59 2016
124 São Tomé and Principe 69.22 2006
125 Italy 69.20 2018
126 Nauru 69.03 2013
127 Ecuador 68.91 2018
128 Gabon 68.62 2010
129 Malaysia 68.36 2017
130 Mali 67.70 2018
131 Congo 66.87 2012
132 Panama 66.43 2018
133 Cuba 65.79 2013
134 Suriname 65.67 2015
135 Venezuela 65.36 2013
136 Puerto Rico 64.94 2015
137 Indonesia 64.66 2018
138 Dominican Republic 64.43 2017
139 Dominica 64.18 2001
140 Bosnia and Herzegovina 64.15 2019
141 North Macedonia 63.79 2018
142 Guyana 63.30 2017
143 Kiribati 63.03 2015
144 Myanmar 62.92 2018
145 Costa Rica 62.68 2018
146 Philippines 62.63 2018
147 Djibouti 62.12 1996
148 Mauritius 62.03 2018
149 Tajikistan 61.74 2016
150 Zambia 61.47 2017
151 Belize 61.41 2017
152 Qatar 60.32 2018
153 Honduras 60.30 2018
154 Senegal 59.48 2015
155 Kyrgyz Republic 59.45 2018
156 El Salvador 59.20 2018
157 Comoros 57.94 2014
158 Nicaragua 57.65 2014
159 Samoa 57.24 2017
160 Kuwait 56.79 2016
161 United Arab Emirates 56.66 2018
162 Mexico 56.18 2018
163 Libya 55.36 2012
164 St. Vincent and the Grenadines 54.81 1991
165 Tuvalu 53.85 2016
166 Bahrain 50.08 2015
167 Fiji 50.07 2016
168 Nepal 48.88 2017
169 Sri Lanka 47.68 2016
170 Turkey 47.00 2018
171 Guatemala 45.98 2017
172 Bangladesh 45.05 2017
173 Mauritania 44.64 2012
174 Oman 43.26 2018
175 Sudan 40.44 2011
176 Tunisia 37.85 2015
177 Morocco 33.40 2016
178 Egypt 32.87 2017
179 Lebanon 31.24 2009
180 Afghanistan 28.94 2017
181 India 27.91 2018
182 Saudi Arabia 27.84 2018
183 Pakistan 27.21 2018
184 Iran 24.51 2018
185 Algeria 22.43 2017
186 Jordan 21.11 2014
187 Syrian Arab Republic 20.79 2011
188 Iraq 15.44 2017
189 Yemen 9.23 2014
190 Guinea-Bissau 3.21 1988

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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.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.