Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) - Country Ranking

Definition: Labor force participation rate is the proportion of the population ages 15 and older 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 Qatar 95.02 2019
2 United Arab Emirates 93.41 2019
3 Niger 90.41 2019
4 Oman 89.39 2019
5 Madagascar 89.35 2019
6 Zimbabwe 89.05 2019
7 Cambodia 87.86 2019
8 Bahrain 87.45 2019
9 Dem. People's Rep. Korea 87.24 2019
10 Tanzania 87.12 2019
11 Eritrea 87.05 2019
12 Ethiopia 86.50 2019
13 Kuwait 85.27 2019
14 Guatemala 85.08 2019
15 Peru 84.82 2019
16 Nepal 84.33 2019
17 Paraguay 84.04 2019
18 Nicaragua 83.64 2019
19 Honduras 83.57 2019
20 Rwanda 83.47 2019
21 Vietnam 82.31 2019
22 Malawi 82.25 2019
23 Afghanistan 82.13 2019
24 The Bahamas 81.95 2019
25 Colombia 81.94 2019
26 Indonesia 81.83 2019
27 Ecuador 81.70 2019
28 Belize 81.49 2019
29 Pakistan 81.49 2019
30 Cameroon 81.27 2019
31 Bangladesh 81.22 2019
32 Mali 80.88 2019
33 Panama 80.36 2019
34 Solomon Islands 80.24 2019
35 Iceland 80.21 2019
36 Angola 79.99 2019
37 Central African Republic 79.83 2019
38 Lao PDR 79.79 2019
39 Zambia 79.73 2019
40 Vanuatu 79.71 2019
41 Mozambique 79.54 2019
42 Saudi Arabia 79.48 2019
43 Bolivia 79.36 2019
44 Togo 79.30 2019
45 St. Vincent and the Grenadines 78.97 2019
46 Libya 78.96 2019
47 El Salvador 78.94 2019
48 Guinea-Bissau 78.91 2019
49 Botswana 78.84 2019
50 Mexico 78.81 2019
51 Georgia 78.76 2019
52 India 78.57 2019
53 Turkmenistan 78.12 2019
54 Uzbekistan 78.01 2019
55 Chad 77.79 2019
56 Burundi 77.61 2019
57 Malaysia 77.59 2019
58 Dominican Republic 77.58 2019
59 Myanmar 77.04 2019
60 Venezuela 76.91 2019
61 Kazakhstan 76.87 2019
62 Macao SAR, China 76.38 2019
63 São Tomé and Principe 76.12 2019
64 Singapore 76.10 2019
65 Thailand 75.87 2019
66 Fiji 75.84 2019
67 Kyrgyz Republic 75.77 2019
68 New Zealand 75.59 2019
69 China 75.43 2019
70 St. Lucia 75.26 2019
71 Lesotho 75.10 2019
72 Uganda 75.01 2019
73 Burkina Faso 74.96 2019
74 Bhutan 74.59 2019
75 Costa Rica 74.42 2019
76 Somalia 74.42 2019
77 Brazil 74.25 2019
78 Chile 74.19 2019
79 Tonga 74.09 2019
80 Philippines 74.06 2019
81 Jamaica 73.96 2019
82 Switzerland 73.83 2019
83 Uruguay 73.82 2019
84 Guyana 73.51 2019
85 Benin 73.31 2019
86 Korea 73.29 2019
87 Egypt 73.21 2019
88 Cabo Verde 73.18 2019
89 Haiti 72.94 2019
90 Argentina 72.69 2019
91 Iraq 72.61 2019
92 Turkey 72.40 2019
93 Sri Lanka 71.86 2019
94 Ghana 71.47 2019
95 Congo 71.45 2019
96 Mauritius 71.45 2019
97 Brunei 71.30 2019
98 Djibouti 71.14 2019
99 Lebanon 71.00 2019
100 Iran 70.94 2019
101 Yemen 70.87 2019
102 Trinidad and Tobago 70.74 2019
103 Estonia 70.49 2019
104 Japan 70.41 2019
105 Australia 70.35 2019
106 Sudan 70.22 2019
107 Morocco 70.17 2019
108 Russia 70.03 2019
109 Belarus 69.96 2019
110 Armenia 69.93 2019
111 Syrian Arab Republic 69.83 2019
112 Tunisia 69.65 2019
113 Canada 69.44 2019
114 Azerbaijan 69.35 2019
115 Barbados 69.16 2019
116 Kenya 69.08 2019
117 Israel 68.98 2019
118 Netherlands 68.55 2019
119 Czech Republic 68.09 2019
120 United States 67.93 2019
121 New Caledonia 67.79 2019
122 The Gambia 67.70 2019
123 United Kingdom 67.69 2019
124 Ireland 67.58 2019
125 Sweden 67.57 2019
126 Latvia 67.56 2019
127 Hong Kong SAR, China 67.48 2019
128 Equatorial Guinea 67.36 2019
129 North Macedonia 67.30 2019
130 Cuba 67.25 2019
131 Algeria 67.17 2019
132 Slovak Republic 67.00 2019
133 Cyprus 66.90 2019
134 Lithuania 66.69 2019
135 Mongolia 66.59 2019
136 Norway 66.49 2019
137 Dem. Rep. Congo 66.26 2019
138 Namibia 66.20 2019
139 Eswatini 66.15 2019
140 Germany 66.07 2019
141 Malta 65.97 2019
142 Côte d'Ivoire 65.88 2019
143 Denmark 65.85 2019
144 Austria 65.65 2019
145 Poland 65.18 2019
146 Guinea 65.07 2019
147 Hungary 64.82 2019
148 Albania 64.75 2019
149 Suriname 63.97 2019
150 Romania 63.84 2019
151 Portugal 63.78 2019
152 Jordan 63.75 2019
153 Mauritania 63.17 2019
154 Spain 62.84 2019
155 South Africa 62.59 2019
156 Luxembourg 62.53 2019
157 Ukraine 62.53 2019
158 Slovenia 62.05 2019
159 Finland 61.97 2019
160 Serbia 61.80 2019
161 Bulgaria 61.49 2019
162 Greece 60.25 2019
163 Gabon 60.24 2019
164 Tajikistan 59.89 2019
165 France 59.75 2019
166 Nigeria 59.68 2019
167 Belgium 58.63 2019
168 Senegal 58.55 2019
169 Bosnia and Herzegovina 58.46 2019
170 Sierra Leone 58.33 2019
171 Italy 58.06 2019
172 Croatia 57.89 2019
173 Montenegro 57.81 2019
174 Liberia 57.43 2019
175 Timor-Leste 52.48 2019
176 Puerto Rico 51.08 2019
177 Comoros 50.77 2019
178 Papua New Guinea 47.51 2019
179 Moldova 45.43 2019
180 Samoa 38.47 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.