Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) - Country Ranking

Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 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 Dem. People's Rep. Korea 76.65 2020
2 Iceland 74.94 2020
3 Solomon Islands 70.55 2020
4 Netherlands 69.95 2020
5 Zimbabwe 69.40 2020
6 Tanzania 69.20 2020
7 Nepal 69.05 2020
8 Madagascar 67.53 2020
9 Australia 66.48 2020
10 Switzerland 64.58 2020
11 Rwanda 63.11 2020
12 Cambodia 62.90 2020
13 Ethiopia 62.75 2020
14 Mozambique 61.93 2020
15 New Zealand 61.82 2020
16 Canada 61.58 2020
17 Denmark 60.36 2020
18 Lao PDR 60.02 2020
19 Eritrea 58.41 2020
20 Malawi 58.01 2020
21 Burundi 56.96 2020
22 Norway 55.68 2020
23 Angola 55.46 2020
24 United Kingdom 54.35 2020
25 Austria 52.68 2020
26 Zambia 52.39 2020
27 Sweden 52.13 2020
28 Malta 52.13 2020
29 Mali 52.06 2020
30 Central African Republic 51.96 2020
31 Niger 51.59 2020
32 Finland 51.34 2020
33 St. Lucia 50.87 2020
34 Cameroon 50.74 2020
35 Guinea-Bissau 50.21 2020
36 Germany 50.12 2020
37 Vietnam 49.80 2020
38 Liberia 49.17 2020
39 Japan 49.13 2020
40 United States 48.37 2020
41 Vanuatu 48.15 2020
42 Guinea 46.22 2020
43 Benin 46.10 2020
44 Peru 45.59 2020
45 Uganda 45.07 2020
46 Macao SAR, China 44.48 2020
47 Belarus 44.30 2020
48 Paraguay 43.86 2020
49 Brazil 43.63 2020
50 Burkina Faso 43.38 2020
51 Israel 43.17 2020
52 Ireland 43.06 2020
53 China 42.57 2020
54 Kenya 41.31 2020
55 Estonia 41.08 2020
56 Ghana 40.69 2020
57 Congo 39.76 2020
58 Indonesia 38.81 2020
59 Uruguay 38.30 2020
60 The Bahamas 38.24 2020
61 Azerbaijan 38.09 2020
62 Barbados 37.96 2020
63 Qatar 37.96 2020
64 Colombia 37.91 2020
65 Dem. Rep. Congo 37.60 2020
66 New Caledonia 37.60 2020
67 Costa Rica 37.30 2020
68 Hong Kong SAR, China 37.10 2020
69 Singapore 37.10 2020
70 Cyprus 36.73 2020
71 Timor-Leste 36.73 2020
72 Myanmar 36.35 2020
73 Bolivia 36.21 2020
74 Guyana 35.76 2020
75 Kazakhstan 35.59 2020
76 Malaysia 35.47 2020
77 Papua New Guinea 35.09 2020
78 St. Vincent and the Grenadines 34.87 2020
79 Lithuania 34.06 2020
80 The Gambia 33.16 2020
81 France 33.01 2020
81 Thailand 33.01 2020
83 Lesotho 32.82 2020
84 Chad 32.61 2020
85 Sierra Leone 32.30 2020
86 Botswana 32.30 2020
87 Brunei 31.87 2020
88 Armenia 31.74 2020
89 Mauritius 31.56 2020
90 Latvia 31.42 2020
91 Luxembourg 30.98 2020
92 Trinidad and Tobago 30.61 2020
93 Honduras 30.57 2020
94 Ecuador 30.52 2020
95 Belize 30.17 2020
96 Korea 29.67 2020
97 Panama 29.01 2020
98 Mexico 28.79 2020
99 Slovenia 28.71 2020
100 Russia 28.65 2020
101 Haiti 28.55 2020
102 Nigeria 28.54 2020
103 United Arab Emirates 28.52 2020
104 Portugal 28.02 2020
105 Dominican Republic 27.91 2020
106 Togo 27.91 2020
107 Ukraine 27.88 2020
108 Argentina 27.51 2020
109 Turkey 27.49 2020
110 Poland 27.48 2020
111 Spain 27.41 2020
112 Jamaica 27.25 2020
113 Guatemala 27.08 2020
114 El Salvador 27.03 2020
115 Bosnia and Herzegovina 26.98 2020
116 Côte d'Ivoire 26.88 2020
117 Hungary 26.87 2020
118 Nicaragua 26.72 2020
119 Albania 26.63 2020
120 Belgium 26.46 2020
121 Bhutan 26.27 2020
122 Uzbekistan 26.25 2020
123 Georgia 26.09 2020
124 Samoa 25.77 2020
125 Namibia 25.75 2020
126 Fiji 25.46 2020
127 Equatorial Guinea 25.38 2020
128 Cuba 25.35 2020
129 Croatia 25.32 2020
130 Suriname 24.85 2020
131 Montenegro 24.62 2020
132 Mongolia 24.53 2020
133 Bahrain 24.22 2020
134 Bangladesh 23.93 2020
135 Romania 23.54 2020
136 Philippines 23.11 2020
137 North Macedonia 22.73 2020
138 Cabo Verde 22.56 2020
139 Eswatini 22.13 2020
140 Turkmenistan 22.09 2020
141 Chile 22.09 2020
142 Kyrgyz Republic 21.94 2020
143 Czech Republic 21.42 2020
144 Serbia 21.35 2020
145 Slovak Republic 20.98 2020
146 Tajikistan 20.57 2020
147 Tonga 20.51 2020
148 Senegal 20.44 2020
149 São Tomé and Principe 19.61 2020
150 Greece 19.28 2020
151 South Africa 18.96 2020
152 Italy 18.79 2020
153 Bulgaria 18.21 2020
154 Sri Lanka 17.47 2020
155 Venezuela 17.23 2020
156 Tunisia 17.13 2020
157 Sudan 16.98 2020
158 Pakistan 16.51 2020
159 Lebanon 16.20 2020
160 Afghanistan 16.07 2020
161 Moldova 15.42 2020
162 Kuwait 14.57 2020
163 Gabon 14.50 2020
164 Mauritania 13.53 2020
165 Saudi Arabia 13.41 2020
166 Morocco 13.35 2020
167 Oman 12.36 2020
168 Somalia 11.73 2020
169 Comoros 10.89 2020
170 Puerto Rico 10.12 2020
171 Djibouti 10.12 2020
172 Libya 9.43 2020
173 Jordan 9.10 2020
174 India 8.29 2020
175 Iran 8.17 2020
176 Egypt 8.13 2020
177 Syrian Arab Republic 8.07 2020
178 Algeria 6.82 2020
179 Yemen 4.83 2020
180 Iraq 4.82 2020

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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.