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 Iceland 82.66 2019
2 Dem. People's Rep. Korea 75.87 2019
3 Nepal 75.23 2019
4 Madagascar 73.58 2019
5 Netherlands 69.42 2019
6 Tanzania 69.29 2019
7 Ethiopia 68.79 2019
8 Switzerland 67.84 2019
9 Zimbabwe 67.71 2019
10 Cambodia 67.20 2019
11 Australia 65.60 2019
12 Eritrea 65.57 2019
13 Canada 63.76 2019
14 Denmark 63.58 2019
15 Rwanda 63.44 2019
16 Togo 62.79 2019
17 Lao PDR 62.46 2019
18 Mozambique 62.34 2019
19 Malawi 62.10 2019
20 New Zealand 60.81 2019
21 Niger 59.23 2019
22 Peru 57.56 2019
23 Burundi 57.27 2019
24 Mali 56.88 2019
25 Angola 56.86 2019
26 United Kingdom 56.06 2019
27 Chad 56.01 2019
28 Sweden 55.11 2019
29 Solomon Islands 54.59 2019
30 Finland 54.29 2019
31 Zambia 54.21 2019
32 Norway 53.52 2019
33 Vietnam 53.44 2019
34 Austria 53.24 2019
35 Central African Republic 52.12 2019
36 Cameroon 51.87 2019
37 Uganda 50.95 2019
38 Vanuatu 50.59 2019
39 Guinea-Bissau 50.47 2019
40 United States 50.43 2019
41 Guinea 50.27 2019
42 Brazil 49.42 2019
43 Germany 48.82 2019
44 Malta 48.67 2019
45 Israel 48.40 2019
46 Benin 45.88 2019
47 Japan 45.15 2019
48 Macao SAR, China 45.11 2019
49 Djibouti 45.06 2019
50 St. Lucia 44.95 2019
51 Ireland 44.68 2019
52 Cabo Verde 44.62 2019
53 Colombia 44.45 2019
54 Burkina Faso 44.43 2019
55 China 44.19 2019
56 Congo 43.81 2019
57 Paraguay 43.49 2019
58 Myanmar 43.08 2019
59 Barbados 42.89 2019
60 St. Vincent and the Grenadines 42.80 2019
61 Belarus 42.79 2019
62 New Caledonia 42.75 2019
63 Botswana 42.63 2019
64 Afghanistan 42.49 2019
65 Uruguay 42.35 2019
66 Hong Kong SAR, China 41.97 2019
67 The Bahamas 41.65 2019
68 Estonia 40.05 2019
69 Azerbaijan 39.52 2019
70 Cyprus 39.49 2019
71 Kazakhstan 39.18 2019
72 Belize 38.80 2019
73 Ghana 38.77 2019
74 Dem. Rep. Congo 38.39 2019
75 Indonesia 38.12 2019
76 Singapore 38.11 2019
77 Qatar 37.81 2019
78 Lesotho 37.52 2019
79 The Gambia 36.81 2019
80 Guyana 36.64 2019
81 Jamaica 36.60 2019
82 Uzbekistan 36.47 2019
83 Brunei 36.25 2019
84 Papua New Guinea 35.99 2019
85 Mauritius 35.76 2019
86 Turkmenistan 35.31 2019
87 Ecuador 35.20 2019
88 Korea 34.80 2019
89 Latvia 34.47 2019
90 Guatemala 34.42 2019
91 Bolivia 34.38 2019
92 Slovenia 34.37 2019
93 Malaysia 34.31 2019
94 France 34.20 2019
95 Costa Rica 33.92 2019
96 Honduras 33.71 2019
97 Panama 33.70 2019
98 Thailand 33.69 2019
99 Kenya 33.33 2019
100 Sierra Leone 33.29 2019
101 Namibia 33.19 2019
102 Bhutan 33.12 2019
103 Portugal 32.74 2019
104 Lithuania 32.57 2019
105 Trinidad and Tobago 31.86 2019
106 Dominican Republic 31.83 2019
107 Haiti 31.72 2019
108 Turkey 31.39 2019
109 El Salvador 31.33 2019
110 Nicaragua 31.24 2019
111 Mexico 31.22 2019
112 Côte d'Ivoire 30.61 2019
113 Spain 30.58 2019
114 United Arab Emirates 30.46 2019
115 Croatia 30.13 2019
116 Liberia 29.76 2019
117 Argentina 29.73 2019
118 Chile 29.69 2019
119 Kyrgyz Republic 29.43 2019
120 Poland 29.06 2019
121 Ukraine 29.01 2019
122 Equatorial Guinea 28.66 2019
123 Cuba 28.43 2019
123 Armenia 28.43 2019
125 Philippines 28.39 2019
126 Russia 28.14 2019
127 Bahrain 28.08 2019
128 Luxembourg 28.02 2019
129 Eswatini 27.66 2019
130 Hungary 27.22 2019
131 Venezuela 26.80 2019
132 Georgia 26.23 2019
133 Fiji 26.22 2019
134 Bangladesh 26.21 2019
135 Tonga 25.96 2019
136 Slovak Republic 25.38 2019
137 Belgium 24.91 2019
138 Czech Republic 24.72 2019
139 Romania 24.72 2019
140 Greece 24.39 2019
141 Bosnia and Herzegovina 24.09 2019
142 South Africa 23.69 2019
143 São Tomé and Principe 23.55 2019
144 Albania 23.33 2019
145 Mongolia 23.03 2019
146 Senegal 22.75 2019
147 Montenegro 22.59 2019
148 North Macedonia 22.38 2019
149 Serbia 22.30 2019
150 Italy 21.47 2019
151 Pakistan 20.80 2019
152 Tajikistan 20.69 2019
153 Bulgaria 20.66 2019
154 Nigeria 20.48 2019
155 Tunisia 20.29 2019
156 Egypt 20.01 2019
157 Suriname 18.84 2019
158 Libya 18.40 2019
159 Lebanon 17.90 2019
160 Moldova 17.05 2019
161 Sri Lanka 16.80 2019
162 Puerto Rico 16.51 2019
163 Samoa 16.35 2019
164 Mauritania 16.20 2019
165 Sudan 15.60 2019
166 Gabon 15.11 2019
167 Comoros 14.83 2019
168 Kuwait 14.81 2019
169 Somalia 13.91 2019
170 Oman 13.62 2019
171 Morocco 12.99 2019
172 India 12.54 2019
173 Iran 10.32 2019
174 Timor-Leste 9.93 2019
175 Jordan 8.73 2019
176 Saudi Arabia 8.65 2019
177 Syrian Arab Republic 8.23 2019
178 Algeria 8.19 2019
179 Iraq 5.77 2019
180 Yemen 4.44 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.