Labor force participation rate for ages 15-24, male (%) (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 Niger 84.01 2019
2 Iceland 81.39 2019
3 Zimbabwe 78.90 2019
4 Madagascar 78.18 2019
5 Ethiopia 75.97 2019
6 Dem. People's Rep. Korea 75.11 2019
7 Eritrea 74.89 2019
8 Qatar 74.70 2019
9 Tanzania 73.80 2019
10 Cambodia 73.44 2019
11 Guatemala 72.49 2019
12 Nepal 72.10 2019
13 Afghanistan 70.91 2019
14 The Bahamas 69.29 2019
15 Switzerland 69.28 2019
16 Paraguay 69.19 2019
17 Honduras 69.15 2019
18 Nicaragua 68.96 2019
19 Netherlands 66.43 2019
20 Australia 66.35 2019
21 Malawi 65.88 2019
22 Peru 65.64 2019
23 St. Vincent and the Grenadines 64.87 2019
24 New Zealand 64.48 2019
25 Solomon Islands 64.26 2019
26 Mali 64.23 2019
27 United Arab Emirates 63.95 2019
28 Rwanda 63.60 2019
29 Canada 63.31 2019
30 Togo 63.14 2019
31 Mozambique 63.11 2019
32 Belize 62.85 2019
33 Brazil 61.87 2019
34 Oman 61.74 2019
35 Denmark 61.73 2019
36 St. Lucia 61.69 2019
37 Vanuatu 61.64 2019
38 Pakistan 61.49 2019
39 El Salvador 61.05 2019
40 Colombia 60.85 2019
41 Vietnam 60.74 2019
42 Cameroon 59.39 2019
43 Guyana 58.56 2019
44 Myanmar 58.54 2019
45 Burkina Faso 58.30 2019
46 Austria 57.97 2019
47 Uzbekistan 57.50 2019
48 United Kingdom 57.40 2019
49 Mexico 57.39 2019
50 Panama 57.27 2019
51 Angola 57.10 2019
52 Lao PDR 57.09 2019
53 Central African Republic 56.90 2019
54 Bangladesh 56.60 2019
55 Ecuador 56.57 2019
56 Dominican Republic 56.47 2019
57 Turkey 56.25 2019
58 Turkmenistan 56.24 2019
59 Uganda 56.16 2019
60 Uruguay 56.01 2019
61 Indonesia 55.98 2019
62 Zambia 55.97 2019
63 Bahrain 55.62 2019
64 Chad 54.92 2019
65 Sweden 53.54 2019
66 Guinea-Bissau 53.35 2019
67 Norway 53.22 2019
68 Kyrgyz Republic 52.42 2019
69 Costa Rica 52.39 2019
70 United States 52.30 2019
71 Malta 52.06 2019
72 Somalia 51.99 2019
73 Iraq 51.98 2019
74 São Tomé and Principe 51.92 2019
75 Lesotho 51.77 2019
76 Finland 51.52 2019
77 Germany 51.46 2019
78 Cabo Verde 51.11 2019
79 Fiji 50.74 2019
80 Bolivia 50.46 2019
81 Georgia 50.30 2019
82 New Caledonia 49.24 2019
83 Malaysia 49.03 2019
84 Israel 48.78 2019
85 Venezuela 48.70 2019
86 Yemen 48.54 2019
87 Botswana 48.48 2019
88 Syrian Arab Republic 48.35 2019
89 Thailand 48.17 2019
90 Tonga 47.70 2019
91 Macao SAR, China 47.58 2019
92 Libya 47.45 2019
93 Philippines 47.45 2019
94 Cuba 47.08 2019
95 Ireland 46.86 2019
96 China 46.85 2019
97 Burundi 46.74 2019
98 Barbados 46.59 2019
99 Belarus 46.49 2019
100 Djibouti 46.32 2019
101 Trinidad and Tobago 46.27 2019
102 Estonia 46.14 2019
103 India 45.96 2019
104 Kazakhstan 45.93 2019
105 Mauritius 45.84 2019
106 The Gambia 44.98 2019
107 Argentina 44.92 2019
108 Jamaica 44.61 2019
109 Ghana 44.45 2019
110 Japan 43.98 2019
111 Congo 43.49 2019
112 Tunisia 43.20 2019
113 Lebanon 42.64 2019
114 Bosnia and Herzegovina 42.24 2019
115 Brunei 42.12 2019
116 Egypt 41.93 2019
117 France 41.49 2019
118 Algeria 41.25 2019
119 Singapore 41.22 2019
120 Croatia 41.07 2019
121 Slovenia 41.05 2019
122 Iran 40.90 2019
123 Azerbaijan 40.75 2019
124 North Macedonia 40.21 2019
125 Armenia 40.11 2019
126 Latvia 39.91 2019
127 Kuwait 39.90 2019
128 Sudan 39.88 2019
129 Hong Kong SAR, China 39.81 2019
130 Albania 39.52 2019
131 Poland 39.17 2019
132 Benin 39.17 2019
133 Côte d'Ivoire 39.14 2019
134 Guinea 39.05 2019
135 Morocco 38.76 2019
136 Haiti 38.61 2019
137 Namibia 38.60 2019
138 Eswatini 38.45 2019
139 Slovak Republic 38.29 2019
140 Lithuania 38.22 2019
141 Chile 38.07 2019
142 Kenya 37.79 2019
143 Jordan 37.04 2019
144 Ukraine 36.34 2019
145 Tajikistan 35.76 2019
146 Portugal 35.49 2019
147 Russia 35.45 2019
148 Hungary 35.04 2019
149 Papua New Guinea 34.64 2019
150 Romania 34.46 2019
151 Serbia 34.45 2019
152 Sri Lanka 34.26 2019
153 Czech Republic 34.25 2019
154 Equatorial Guinea 34.19 2019
155 Senegal 34.09 2019
156 Spain 34.06 2019
157 Cyprus 33.79 2019
158 Suriname 33.39 2019
159 Mongolia 33.23 2019
160 Mauritania 33.10 2019
161 Luxembourg 32.97 2019
162 Montenegro 32.97 2019
163 Dem. Rep. Congo 32.07 2019
164 Belgium 30.10 2019
165 Bhutan 29.78 2019
166 Liberia 29.72 2019
167 Puerto Rico 29.21 2019
168 Italy 29.17 2019
169 Bulgaria 29.07 2019
170 South Africa 28.59 2019
171 Korea 28.52 2019
172 Saudi Arabia 27.66 2019
173 Samoa 27.57 2019
174 Greece 26.05 2019
175 Nigeria 25.24 2019
176 Sierra Leone 23.25 2019
177 Moldova 20.30 2019
178 Gabon 20.01 2019
179 Timor-Leste 17.57 2019
180 Comoros 13.86 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.