Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) - Country Ranking

Definition: Labor force participation rate is the proportion of the population ages 15-64 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 95.45 2019
2 United Arab Emirates 94.06 2019
3 Dem. People's Rep. Korea 91.41 2019
4 Madagascar 89.61 2019
4 Cambodia 89.61 2019
6 Zimbabwe 89.60 2019
7 Iceland 89.04 2019
8 Kuwait 88.72 2019
9 Bahrain 88.48 2019
10 Switzerland 88.24 2019
11 Guatemala 88.23 2019
12 Paraguay 88.10 2019
13 Peru 88.07 2019
14 Honduras 87.96 2019
15 Tanzania 87.95 2019
16 Eritrea 87.60 2019
17 Nicaragua 86.94 2019
18 The Bahamas 86.78 2019
19 Ethiopia 86.69 2019
20 Solomon Islands 86.67 2019
21 Japan 86.65 2019
22 Vietnam 86.52 2019
23 Nepal 86.11 2019
24 Netherlands 85.18 2019
25 New Zealand 85.17 2019
26 Oman 85.08 2019
27 Sweden 84.95 2019
28 Pakistan 84.79 2019
29 Colombia 84.58 2019
30 Niger 84.55 2019
31 Macao SAR, China 84.39 2019
32 Bangladesh 84.23 2019
32 St. Vincent and the Grenadines 84.23 2019
34 Panama 84.21 2019
35 Singapore 84.17 2019
36 Indonesia 84.14 2019
37 Costa Rica 83.94 2019
38 Malta 83.80 2019
39 Belize 83.76 2019
40 Rwanda 83.74 2019
41 Ecuador 83.69 2019
42 Dominican Republic 83.66 2019
43 Czech Republic 83.54 2019
44 Germany 83.30 2019
45 Australia 83.20 2019
46 Mali 82.77 2019
47 China 82.76 2019
48 Bolivia 82.65 2019
49 Uruguay 82.55 2019
50 Canada 82.46 2019
51 United Kingdom 82.42 2019
52 Mexico 82.38 2019
53 Lao PDR 82.27 2019
54 Belarus 82.11 2019
55 St. Lucia 82.03 2019
56 Estonia 81.99 2019
57 Denmark 81.93 2019
58 Thailand 81.84 2019
59 Cameroon 81.68 2019
60 Kazakhstan 81.67 2019
61 Austria 81.47 2019
62 Malaysia 80.94 2019
63 Malawi 80.87 2019
64 Hong Kong SAR, China 80.86 2019
65 Liberia 80.74 2019
66 Saudi Arabia 80.71 2019
67 Norway 80.60 2019
68 Barbados 80.43 2019
69 Latvia 80.23 2019
70 Brazil 80.19 2019
71 Myanmar 80.01 2019
72 Hungary 79.95 2019
73 Finland 79.65 2019
74 El Salvador 79.59 2019
75 India 79.57 2019
76 Mauritius 79.51 2019
76 Ireland 79.51 2019
78 Argentina 79.48 2019
79 Vanuatu 79.46 2019
80 Central African Republic 79.42 2019
81 Cyprus 79.37 2019
81 Russia 79.37 2019
83 Lithuania 79.34 2019
84 Trinidad and Tobago 79.26 2019
85 Fiji 79.22 2019
86 Venezuela 79.21 2019
87 Sri Lanka 79.13 2019
88 Zambia 79.11 2019
89 Spain 79.05 2019
90 Angola 79.03 2019
91 Guinea-Bissau 78.98 2019
92 Slovak Republic 78.89 2019
93 Mozambique 78.77 2019
94 Chile 78.70 2019
95 Portugal 78.69 2019
96 Uzbekistan 78.50 2019
97 United States 78.31 2019
98 Burundi 78.25 2019
99 Romania 78.20 2019
100 Poland 78.12 2019
101 Botswana 78.08 2019
102 Cuba 77.96 2019
103 Turkey 77.95 2019
104 Slovenia 77.92 2019
105 Syrian Arab Republic 77.89 2019
106 Georgia 77.76 2019
107 Bulgaria 77.74 2019
108 Kyrgyz Republic 77.70 2019
109 Korea 77.64 2019
110 Albania 77.43 2019
111 North Macedonia 77.16 2019
112 Jamaica 77.10 2019
113 Chad 77.04 2019
114 Iran 76.88 2019
115 Kenya 76.76 2019
116 Greece 76.73 2019
117 Iraq 76.72 2019
118 Bhutan 76.69 2019
119 Lesotho 76.67 2019
120 Brunei 76.63 2019
121 New Caledonia 76.59 2019
122 Afghanistan 76.44 2019
123 Lebanon 76.34 2019
124 Somalia 76.28 2019
125 Luxembourg 76.18 2019
126 São Tomé and Principe 76.17 2019
127 Burkina Faso 75.68 2019
128 Tunisia 75.48 2019
129 France 75.44 2019
130 Turkmenistan 75.41 2019
131 Philippines 75.24 2019
132 Egypt 75.19 2019
133 Italy 75.14 2019
134 Morocco 74.90 2019
135 Israel 74.77 2019
136 Azerbaijan 74.59 2019
137 Serbia 74.15 2019
138 Mongolia 74.06 2019
139 Uganda 73.90 2019
140 Armenia 73.74 2019
141 Algeria 73.59 2019
142 Montenegro 73.47 2019
143 Benin 73.17 2019
144 Belgium 73.13 2019
145 Ghana 72.94 2019
146 Ukraine 72.86 2019
146 Haiti 72.86 2019
148 Timor-Leste 72.73 2019
149 Yemen 72.21 2019
150 Congo 72.09 2019
151 Djibouti 72.08 2019
152 Croatia 72.01 2019
153 Guyana 70.69 2019
154 Cabo Verde 69.90 2019
155 Suriname 69.52 2019
156 Sudan 69.15 2019
157 The Gambia 69.00 2019
158 Libya 68.83 2019
159 Bosnia and Herzegovina 68.64 2019
160 Equatorial Guinea 68.08 2019
161 Jordan 67.26 2019
162 Dem. Rep. Congo 66.31 2019
162 South Africa 66.31 2019
164 Namibia 64.22 2019
165 Gabon 63.88 2019
166 Mauritania 63.87 2019
167 Nigeria 63.84 2019
168 Côte d'Ivoire 63.45 2019
169 Guinea 60.66 2019
170 Togo 60.65 2019
171 Senegal 58.89 2019
172 Puerto Rico 58.62 2019
173 Sierra Leone 58.39 2019
174 Eswatini 58.22 2019
175 Samoa 58.17 2019
176 Tonga 58.07 2019
177 Comoros 57.43 2019
178 Tajikistan 52.28 2019
179 Moldova 49.62 2019
180 Papua New Guinea 48.86 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.