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. 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 Niger 84.02 2017
2 Iceland 82.14 2017
3 Zimbabwe 79.40 2017
4 Madagascar 78.15 2017
5 Ethiopia 77.86 2017
6 Afghanistan 77.34 2017
7 Cambodia 77.11 2017
8 Eritrea 75.63 2017
9 Rwanda 75.05 2017
10 Tanzania 74.48 2017
11 Nepal 74.18 2017
12 Qatar 74.17 2017
13 Dem. People's Rep. Korea 73.71 2017
14 Honduras 73.05 2017
15 Guatemala 72.74 2017
16 Paraguay 70.55 2017
17 Nicaragua 69.93 2017
18 The Bahamas 68.58 2017
19 Switzerland 67.90 2017
20 Mali 67.60 2017
21 Myanmar 67.23 2017
22 Australia 66.97 2017
23 Netherlands 66.94 2017
24 St. Vincent and the Grenadines 66.23 2017
25 Mozambique 66.02 2017
26 Malawi 65.18 2017
27 Peru 65.14 2017
28 Denmark 64.50 2017
29 Solomon Islands 64.48 2017
30 New Zealand 64.48 2017
31 Pakistan 64.13 2017
32 St. Lucia 63.48 2017
33 Canada 63.34 2017
34 Togo 63.05 2017
35 Vietnam 63.03 2017
36 Colombia 62.75 2017
37 Belize 62.65 2017
38 Brazil 61.61 2017
39 Vanuatu 61.08 2017
40 Oman 60.44 2017
41 El Salvador 60.40 2017
42 Austria 60.37 2017
43 Guyana 60.19 2017
44 Cameroon 59.61 2017
45 United Arab Emirates 58.78 2017
46 Burkina Faso 58.65 2017
47 United Kingdom 58.63 2017
48 Dominican Republic 58.52 2017
49 Panama 58.24 2017
50 Mexico 58.13 2017
51 Uzbekistan 57.84 2017
52 Lao PDR 57.72 2017
53 Uruguay 57.60 2017
54 Turkmenistan 57.54 2017
55 Jamaica 57.28 2017
56 Angola 57.25 2017
57 Bahrain 57.08 2017
58 Tajikistan 56.90 2017
59 Indonesia 56.64 2017
60 Central African Republic 56.17 2017
61 Uganda 55.98 2017
62 Zambia 55.90 2017
63 Ecuador 55.41 2017
64 Ghana 55.38 2017
65 Turkey 55.16 2017
66 Chad 54.98 2017
67 Sweden 54.88 2017
68 Bangladesh 54.79 2017
69 Bolivia 54.43 2017
70 Norway 53.86 2017
71 Malta 53.72 2017
72 Kyrgyz Republic 52.83 2017
73 Iraq 52.81 2017
74 Trinidad and Tobago 52.78 2017
75 Papua New Guinea 52.61 2017
76 United States 52.48 2017
77 Costa Rica 51.83 2017
78 Somalia 51.64 2017
79 Senegal 51.39 2017
80 Germany 51.35 2017
81 Lesotho 51.25 2017
82 Georgia 51.14 2017
83 Guinea-Bissau 51.10 2017
84 Finland 50.63 2017
85 Morocco 50.31 2017
86 Philippines 50.18 2017
87 São Tomé and Principe 49.65 2017
88 New Caledonia 49.58 2017
89 Malaysia 49.57 2017
90 Venezuela 49.38 2017
91 Kazakhstan 49.05 2017
92 Israel 49.04 2017
93 Thailand 49.04 2017
94 Belarus 48.95 2017
95 Mauritius 48.23 2017
96 Botswana 48.17 2017
97 India 48.04 2017
98 Yemen 48.03 2017
99 Tonga 47.76 2017
100 China 47.76 2017
101 Syrian Arab Republic 47.48 2017
102 Libya 47.43 2017
103 Barbados 47.30 2017
104 Burundi 47.18 2017
105 Fiji 46.53 2017
106 Tunisia 46.32 2017
107 Argentina 45.87 2017
108 Macao SAR, China 45.50 2017
109 Cuba 45.00 2017
110 Estonia 44.89 2017
111 The Gambia 44.77 2017
112 Armenia 44.57 2017
113 Congo 44.28 2017
114 Japan 44.16 2017
115 Swaziland 43.85 2017
116 Kuwait 43.56 2017
117 Latvia 43.09 2017
118 Lebanon 43.02 2017
119 Cabo Verde 42.81 2017
120 Dem. Rep. Congo 42.79 2017
121 Iran 42.39 2017
122 Egypt 42.33 2017
123 Algeria 42.06 2017
124 Singapore 42.02 2017
125 Mauritania 41.52 2017
126 Croatia 41.39 2017
127 Ireland 41.20 2017
128 France 40.82 2017
129 Chile 40.26 2017
130 Russia 39.85 2017
131 Poland 39.81 2017
132 Bosnia and Herzegovina 39.70 2017
133 Azerbaijan 39.69 2017
134 Hong Kong SAR, China 39.68 2017
135 Côte d'Ivoire 39.47 2017
136 Ukraine 39.37 2017
137 Slovak Republic 39.37 2017
138 Lithuania 39.22 2017
139 Benin 39.06 2017
140 Albania 39.01 2017
141 Sudan 38.82 2017
142 Haiti 38.77 2017
143 Sri Lanka 38.75 2017
144 Macedonia 38.73 2017
145 Cyprus 38.29 2017
146 Guinea 38.02 2017
147 Djibouti 37.88 2017
148 Brunei 37.68 2017
149 Czech Republic 36.92 2017
150 Jordan 36.88 2017
151 Slovenia 36.64 2017
152 Mongolia 36.42 2017
153 Kenya 36.21 2017
154 Suriname 35.99 2017
155 Hungary 35.64 2017
156 Serbia 35.14 2017
157 Portugal 35.01 2017
158 Spain 34.57 2017
159 Namibia 34.29 2017
160 Romania 33.67 2017
161 Montenegro 33.44 2017
162 Equatorial Guinea 30.93 2017
163 Belgium 30.70 2017
164 Luxembourg 30.67 2017
165 Bhutan 30.58 2017
166 Italy 29.75 2017
167 Liberia 29.32 2017
168 South Africa 28.78 2017
169 Puerto Rico 28.51 2017
170 Korea 28.47 2017
171 Bulgaria 27.92 2017
172 Samoa 27.71 2017
173 Greece 26.23 2017
174 Saudi Arabia 26.01 2017
175 Nigeria 25.58 2017
176 Sierra Leone 23.51 2017
177 Moldova 21.33 2017
178 Gabon 19.51 2017
179 Timor-Leste 16.58 2017
180 Comoros 12.91 2017

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: 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.