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. Early release of the 2017 ILO Labour Force Estimates and Projections, retrieved in November 2017.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Iceland 83.46 2017
2 Nepal 77.38 2017
3 Rwanda 76.47 2017
4 Dem. People's Rep. Korea 75.54 2017
5 Mozambique 74.46 2017
6 Cambodia 73.86 2017
7 Madagascar 73.55 2017
8 Ethiopia 72.20 2017
9 Tanzania 69.93 2017
10 Netherlands 69.11 2017
11 Switzerland 68.85 2017
12 Eritrea 68.46 2017
13 Zimbabwe 68.17 2017
14 Denmark 66.93 2017
15 Australia 66.10 2017
16 Canada 64.06 2017
17 Lao PDR 63.72 2017
18 Togo 62.87 2017
19 Malawi 61.57 2017
20 New Zealand 59.78 2017
21 Niger 59.32 2017
22 Burundi 57.66 2017
23 Angola 56.86 2017
24 United Kingdom 56.76 2017
25 Peru 56.42 2017
26 Sweden 56.18 2017
27 Chad 55.85 2017
28 Vietnam 55.57 2017
29 Norway 54.95 2017
30 Solomon Islands 54.74 2017
31 Austria 54.68 2017
32 Papua New Guinea 54.18 2017
33 Finland 53.92 2017
34 Zambia 53.90 2017
35 Mali 53.00 2017
36 Ghana 51.96 2017
37 Cameroon 51.94 2017
38 Dem. Rep. Congo 51.82 2017
39 Myanmar 51.53 2017
40 Central African Republic 51.35 2017
41 Vanuatu 50.70 2017
42 Uganda 50.65 2017
43 United States 50.08 2017
44 Guinea 49.25 2017
45 Malta 48.83 2017
46 Israel 48.49 2017
47 Guinea-Bissau 48.47 2017
48 Brazil 48.14 2017
49 Germany 47.70 2017
50 Benin 45.64 2017
51 Paraguay 45.31 2017
52 China 45.29 2017
53 Colombia 45.23 2017
54 Belarus 45.01 2017
55 Burkina Faso 44.59 2017
56 Japan 44.51 2017
57 Barbados 44.49 2017
58 Congo 44.41 2017
59 Uruguay 44.38 2017
60 Macao SAR, China 43.97 2017
61 St. Vincent and the Grenadines 43.49 2017
62 New Caledonia 43.17 2017
63 St. Lucia 43.08 2017
64 Kazakhstan 42.16 2017
65 Botswana 42.11 2017
66 Hong Kong SAR, China 41.98 2017
67 The Bahamas 41.24 2017
68 Cyprus 41.01 2017
69 Dominican Republic 40.94 2017
70 Honduras 40.62 2017
71 Singapore 40.61 2017
72 Estonia 39.52 2017
73 Qatar 39.45 2017
74 Belize 38.74 2017
75 Ireland 38.41 2017
76 Azerbaijan 38.29 2017
77 Djibouti 38.07 2017
78 Indonesia 37.93 2017
79 Mauritius 37.62 2017
80 Guyana 37.30 2017
81 Lesotho 37.09 2017
82 Uzbekistan 36.96 2017
83 The Gambia 36.53 2017
84 Turkmenistan 36.52 2017
85 Latvia 36.16 2017
86 Tajikistan 36.15 2017
87 Armenia 35.54 2017
88 Ecuador 35.16 2017
89 Bolivia 35.10 2017
90 Malaysia 34.89 2017
91 Korea 34.84 2017
92 Trinidad and Tobago 34.81 2017
93 France 34.50 2017
94 Guatemala 34.29 2017
95 Thailand 33.92 2017
96 Panama 33.76 2017
97 Bhutan 33.61 2017
98 Costa Rica 33.57 2017
99 Sierra Leone 33.32 2017
100 Philippines 32.30 2017
101 Kenya 32.11 2017
102 Lithuania 32.09 2017
103 Nicaragua 31.76 2017
104 Croatia 31.72 2017
105 El Salvador 31.70 2017
106 Portugal 31.64 2017
107 Russia 31.45 2017
108 Haiti 31.41 2017
109 Mexico 31.38 2017
110 Senegal 31.20 2017
111 Spain 31.15 2017
112 Swaziland 31.06 2017
113 Côte d'Ivoire 30.81 2017
114 Ukraine 30.71 2017
115 Luxembourg 30.53 2017
116 Turkey 30.49 2017
117 Namibia 30.48 2017
118 Brunei 30.45 2017
119 Cuba 30.10 2017
120 Kyrgyz Republic 30.03 2017
121 Jamaica 29.96 2017
122 Slovenia 29.84 2017
123 Chile 29.82 2017
124 Argentina 29.27 2017
125 Liberia 29.21 2017
126 Poland 28.88 2017
127 Bahrain 28.87 2017
128 Hungary 27.94 2017
129 Venezuela 27.92 2017
130 Fiji 27.62 2017
131 Equatorial Guinea 27.29 2017
132 Georgia 27.27 2017
133 United Arab Emirates 26.72 2017
134 Cabo Verde 26.15 2017
135 Belgium 26.10 2017
136 Tonga 25.84 2017
137 Czech Republic 25.74 2017
138 Kuwait 25.29 2017
139 Slovak Republic 24.40 2017
140 Mongolia 23.72 2017
141 Bangladesh 23.46 2017
142 Greece 23.31 2017
143 South Africa 23.26 2017
144 Bosnia and Herzegovina 23.23 2017
145 Afghanistan 22.87 2017
146 Oman 22.86 2017
147 Montenegro 22.76 2017
148 Albania 22.68 2017
149 Macedonia 22.64 2017
150 Serbia 22.28 2017
151 Italy 22.25 2017
152 Pakistan 22.04 2017
153 Tunisia 21.85 2017
154 Romania 21.75 2017
155 Mauritania 21.57 2017
156 São Tomé and Principe 21.52 2017
157 Nigeria 20.69 2017
158 Sri Lanka 19.83 2017
159 Egypt 19.78 2017
160 Bulgaria 19.48 2017
161 Libya 18.85 2017
162 Lebanon 17.95 2017
163 Puerto Rico 17.53 2017
164 Moldova 17.11 2017
165 Morocco 16.94 2017
166 Samoa 16.58 2017
167 Suriname 16.01 2017
168 India 15.75 2017
169 Sudan 15.14 2017
170 Gabon 14.71 2017
171 Iraq 14.34 2017
172 Comoros 13.91 2017
173 Somalia 13.46 2017
174 Iran 11.05 2017
175 Timor-Leste 9.38 2017
176 Jordan 8.75 2017
177 Algeria 8.52 2017
178 Saudi Arabia 8.51 2017
179 Syrian Arab Republic 8.16 2017
180 Yemen 4.72 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.