Labor force participation rate for ages 15-24, total (%) (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 82.01 2019
2 Madagascar 75.88 2019
3 Dem. People's Rep. Korea 75.48 2019
4 Nepal 73.63 2019
5 Zimbabwe 73.29 2019
6 Ethiopia 72.41 2019
7 Niger 71.64 2019
8 Tanzania 71.54 2019
9 Cambodia 70.35 2019
10 Eritrea 70.29 2019
11 Switzerland 68.58 2019
12 Netherlands 67.88 2019
13 Australia 65.98 2019
14 Qatar 65.26 2019
15 Malawi 63.99 2019
16 Canada 63.53 2019
17 Rwanda 63.52 2019
18 Togo 62.97 2019
19 Mozambique 62.72 2019
20 New Zealand 62.69 2019
21 Denmark 62.64 2019
22 Peru 61.70 2019
23 Mali 60.60 2019
24 Lao PDR 59.73 2019
25 Solomon Islands 59.60 2019
26 Vietnam 57.18 2019
27 Afghanistan 57.15 2019
28 Angola 56.98 2019
29 United Kingdom 56.74 2019
30 Paraguay 56.58 2019
31 Vanuatu 56.22 2019
32 Brazil 55.74 2019
33 Austria 55.66 2019
34 Cameroon 55.65 2019
35 The Bahamas 55.64 2019
36 Chad 55.46 2019
37 Zambia 55.09 2019
38 Central African Republic 54.49 2019
39 Sweden 54.30 2019
40 St. Vincent and the Grenadines 54.00 2019
41 Guatemala 53.75 2019
42 Uganda 53.56 2019
43 Norway 53.36 2019
44 St. Lucia 53.33 2019
45 Finland 52.87 2019
46 Colombia 52.78 2019
47 United Arab Emirates 52.22 2019
48 Burundi 52.09 2019
49 Guinea-Bissau 51.91 2019
50 Honduras 51.71 2019
51 Burkina Faso 51.49 2019
52 United States 51.38 2019
53 Myanmar 50.81 2019
54 Belize 50.81 2019
55 Nicaragua 50.69 2019
56 Malta 50.42 2019
57 Germany 50.17 2019
58 Uruguay 49.31 2019
59 Israel 48.60 2019
60 Guyana 48.03 2019
61 Cabo Verde 47.88 2019
62 Indonesia 47.31 2019
63 Uzbekistan 47.21 2019
64 Macao SAR, China 46.37 2019
65 El Salvador 46.09 2019
66 New Caledonia 46.07 2019
67 Ecuador 46.06 2019
68 Turkmenistan 45.89 2019
69 Ireland 45.79 2019
70 Djibouti 45.70 2019
71 Panama 45.66 2019
72 China 45.61 2019
73 Botswana 45.57 2019
74 Barbados 44.76 2019
75 Belarus 44.69 2019
76 Lesotho 44.66 2019
77 Guinea 44.60 2019
78 Japan 44.55 2019
79 Mexico 44.52 2019
80 Dominican Republic 44.24 2019
81 Turkey 44.07 2019
82 Bahrain 43.73 2019
83 Congo 43.65 2019
84 Costa Rica 43.35 2019
85 Estonia 43.18 2019
86 Kazakhstan 42.63 2019
87 Bolivia 42.53 2019
88 Benin 42.49 2019
89 Oman 42.45 2019
90 Malaysia 41.90 2019
91 Pakistan 41.88 2019
92 Bangladesh 41.71 2019
93 Ghana 41.67 2019
94 Kyrgyz Republic 41.17 2019
95 Thailand 41.08 2019
96 Hong Kong SAR, China 40.88 2019
96 The Gambia 40.88 2019
98 Mauritius 40.86 2019
99 Jamaica 40.70 2019
100 Azerbaijan 40.17 2019
101 Singapore 39.70 2019
102 Brunei 39.28 2019
103 Trinidad and Tobago 39.15 2019
104 Georgia 38.93 2019
105 Fiji 38.89 2019
106 Philippines 38.20 2019
107 Cuba 38.06 2019
108 France 37.93 2019
109 Venezuela 37.91 2019
110 São Tomé and Principe 37.84 2019
111 Slovenia 37.81 2019
112 Argentina 37.45 2019
113 Tonga 37.38 2019
114 Latvia 37.28 2019
115 Cyprus 36.50 2019
116 Namibia 35.88 2019
117 Croatia 35.75 2019
118 Kenya 35.57 2019
119 Lithuania 35.47 2019
120 Papua New Guinea 35.30 2019
121 Dem. Rep. Congo 35.22 2019
122 Haiti 35.17 2019
123 Côte d'Ivoire 34.89 2019
124 Armenia 34.59 2019
125 Poland 34.24 2019
126 Portugal 34.12 2019
127 Chile 33.97 2019
128 Bosnia and Herzegovina 33.44 2019
129 Libya 33.22 2019
130 Eswatini 33.03 2019
131 Somalia 32.96 2019
132 Ukraine 32.76 2019
133 Spain 32.36 2019
134 Tunisia 32.01 2019
135 Slovak Republic 31.99 2019
136 Russia 31.89 2019
137 Equatorial Guinea 31.70 2019
138 Albania 31.67 2019
139 North Macedonia 31.55 2019
140 Korea 31.51 2019
141 Bhutan 31.42 2019
142 Hungary 31.23 2019
143 Egypt 31.22 2019
144 Luxembourg 30.56 2019
145 India 30.15 2019
146 Lebanon 29.95 2019
147 Liberia 29.74 2019
148 Romania 29.72 2019
149 Czech Republic 29.60 2019
150 Iraq 29.47 2019
151 Syrian Arab Republic 28.94 2019
152 Kuwait 28.75 2019
153 Serbia 28.56 2019
154 Senegal 28.45 2019
155 Tajikistan 28.37 2019
156 Sierra Leone 28.32 2019
157 Mongolia 28.20 2019
158 Montenegro 27.96 2019
159 Sudan 27.89 2019
160 Belgium 27.57 2019
161 Yemen 26.86 2019
162 Suriname 26.36 2019
163 Iran 26.32 2019
164 South Africa 26.16 2019
165 Morocco 26.15 2019
166 Sri Lanka 25.48 2019
167 Italy 25.42 2019
168 Greece 25.24 2019
169 Algeria 25.05 2019
170 Bulgaria 25.01 2019
171 Mauritania 24.78 2019
172 Puerto Rico 23.08 2019
173 Jordan 23.02 2019
174 Nigeria 22.90 2019
175 Samoa 22.23 2019
176 Moldova 18.71 2019
177 Saudi Arabia 18.52 2019
178 Gabon 17.59 2019
179 Comoros 14.34 2019
180 Timor-Leste 13.83 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.