Labor force participation rate for ages 15-24, male (%) (national 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 December 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Zimbabwe 85.37 2014
2 Equatorial Guinea 85.19 1983
3 Iceland 79.69 2018
4 Qatar 79.10 2018
5 Ethiopia 79.10 2013
6 Madagascar 76.45 2015
7 Cambodia 76.17 2016
8 Guatemala 74.53 2017
9 Tanzania 74.42 2014
10 Honduras 74.25 2018
11 Niger 72.94 2014
12 Nicaragua 71.38 2014
13 Central African Republic 71.25 1988
14 Paraguay 70.15 2018
15 Solomon Islands 69.83 2013
16 Grenada 68.50 1998
17 St. Kitts and Nevis 68.44 1991
18 Guinea-Bissau 68.40 1979
19 Switzerland 68.34 2018
20 St. Lucia 68.17 2016
21 Australia 68.14 2018
22 Netherlands 67.99 2018
23 Nauru 67.65 2013
24 Mali 65.34 2018
25 United Arab Emirates 65.16 2018
26 New Zealand 65.11 2018
27 St. Vincent and the Grenadines 63.90 2001
28 Canada 63.34 2018
29 Denmark 62.36 2018
30 Mozambique 61.97 2015
31 Pakistan 61.29 2018
32 Brazil 61.28 2018
33 Colombia 60.45 2018
34 El Salvador 60.33 2018
35 São Tomé and Principe 59.96 1991
36 Vanuatu 59.96 2009
37 Guyana 59.94 2017
38 China 59.60 2010
39 Liberia 59.51 2016
40 Austria 59.49 2018
41 Burkina Faso 59.22 2014
42 Belize 59.20 2017
43 Vietnam 59.20 2018
44 Afghanistan 58.57 2017
45 United Kingdom 58.52 2018
46 Greenland 57.74 1976
47 Oman 57.35 2016
48 The Bahamas 57.11 1998
49 Indonesia 56.91 2018
50 Seychelles 56.88 2018
51 Mexico 56.55 2018
52 Antigua and Barbuda 56.22 2001
53 Turkey 56.13 2018
54 Chad 56.02 1993
55 Jordan 55.93 1979
56 United States 55.90 2018
57 Peru 55.72 2018
58 Malta 55.70 2018
59 Myanmar 55.44 2018
60 Bolivia 55.15 2018
61 Togo 55.07 2015
62 Panama 55.00 2018
63 Bangladesh 54.92 2017
64 Bahrain 54.91 2015
65 Dominican Republic 54.70 2017
66 Liechtenstein 54.57 2015
67 Costa Rica 54.30 2018
68 Norway 54.19 2018
69 Ecuador 53.72 2018
70 Belarus 53.50 2009
71 Sweden 53.12 2018
72 Tuvalu 52.72 2016
73 Uruguay 52.68 2018
74 Cameroon 52.59 2014
75 Lesotho 52.59 2013
76 Germany 52.51 2018
77 Kyrgyz Republic 52.44 2018
78 Venezuela 52.06 2012
79 Cayman Islands 52.03 2015
80 Fiji 51.56 2016
81 Finland 51.47 2018
82 Tonga 50.59 1994
83 Dominica 50.52 2001
84 Mauritius 50.23 2018
85 Kazakhstan 49.92 2008
86 Haiti 49.88 2012
87 Botswana 49.82 2013
88 Malaysia 49.76 2017
89 Uganda 49.62 2017
90 Estonia 49.56 2018
91 Syrian Arab Republic 49.52 2009
92 Thailand 49.11 2018
93 Iraq 48.51 2017
94 Ireland 48.36 2018
95 Malawi 47.56 2017
96 Macao SAR, China 47.53 2016
97 Georgia 47.49 2018
98 New Caledonia 47.33 2014
99 Trinidad and Tobago 47.20 2016
100 Japan 47.10 2018
101 Burundi 46.97 2014
102 Israel 46.79 2018
103 Kenya 46.74 2016
104 The Gambia 46.29 2012
105 Argentina 46.24 2018
106 Barbados 46.20 2016
107 Yemen 44.84 2014
108 Cuba 44.71 2008
109 Philippines 43.72 2018
110 Brunei 42.91 2017
111 Timor-Leste 42.87 2016
112 Sri Lanka 42.77 2016
113 Rwanda 42.56 2018
114 Slovenia 42.36 2018
115 Guinea 41.96 2002
116 Lebanon 41.96 2007
117 Iran 41.89 2018
118 India 41.53 2018
119 Congo 41.32 2005
120 France 41.25 2018
121 Morocco 41.22 2016
122 North Macedonia 40.63 2018
123 Latvia 40.54 2018
124 Suriname 40.30 2015
125 Sudan 39.84 2011
126 Angola 39.78 2014
127 Slovak Republic 39.69 2018
128 Hong Kong SAR, China 39.46 2016
129 Tunisia 39.41 2015
130 Poland 39.22 2018
131 Singapore 39.19 2018
132 Bosnia and Herzegovina 39.12 2019
133 Nepal 38.91 2017
134 Lithuania 38.76 2018
135 Benin 38.44 2011
136 Montenegro 38.33 2018
137 Egypt 38.25 2017
138 Samoa 38.08 2017
139 Croatia 37.93 2018
140 Albania 37.81 2017
141 Russia 37.54 2018
142 Jamaica 37.43 2018
143 Armenia 37.22 2017
144 Ukraine 37.16 2018
145 Hungary 37.07 2018
146 Cabo Verde 36.78 2018
147 Portugal 36.57 2018
148 Chile 36.52 2018
149 Cyprus 36.46 2018
150 Serbia 36.30 2018
151 Papua New Guinea 35.83 2010
152 Mongolia 35.52 2018
153 Spain 35.10 2018
154 Romania 34.58 2018
155 Czech Republic 34.37 2018
156 San Marino 34.35 2016
157 Mauritania 34.29 2012
158 Luxembourg 33.93 2018
159 Senegal 33.88 2015
160 Nigeria 33.41 2016
161 Kuwait 33.00 2016
162 Algeria 32.88 2017
163 Kiribati 32.81 2015
164 Azerbaijan 32.75 2007
165 Palau 32.57 2014
166 Dem. Rep. Congo 32.22 2012
167 Namibia 32.09 2018
168 Belgium 31.44 2018
169 Côte d'Ivoire 31.42 2017
170 Ghana 31.23 2017
171 Puerto Rico 31.00 2012
172 Tajikistan 30.59 2016
173 Italy 29.95 2018
174 Saudi Arabia 29.87 2018
175 Lao PDR 29.47 2017
176 South Africa 28.23 2018
177 Bhutan 28.01 2015
178 Bulgaria 27.84 2018
179 Eswatini 25.23 2016
180 Greece 25.08 2018
181 Libya 24.03 2012
182 Sierra Leone 23.29 2014
183 Korea 22.68 2018
184 Zambia 22.48 2017
185 Moldova 21.95 2018
186 Gabon 20.77 2010
187 Comoros 17.38 2014

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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.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.