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 95.48 2019
2 United Arab Emirates 94.17 2019
3 Niger 91.62 2019
4 Oman 91.00 2019
5 Iceland 90.72 2019
6 Dem. People's Rep. Korea 90.38 2019
7 Madagascar 90.31 2019
8 Zimbabwe 89.81 2019
9 Cambodia 89.07 2019
10 Bahrain 88.64 2019
11 The Bahamas 88.48 2019
12 Switzerland 88.34 2019
13 Eritrea 88.23 2019
14 Tanzania 88.03 2019
15 Ethiopia 87.84 2019
16 Peru 87.42 2019
17 Paraguay 87.23 2019
18 Guatemala 87.10 2019
19 Vietnam 86.45 2019
20 Nepal 86.18 2019
21 Nicaragua 86.10 2019
22 Kuwait 86.01 2019
23 Colombia 86.00 2019
24 New Zealand 85.91 2019
25 Japan 85.73 2019
26 Honduras 85.71 2019
27 Panama 85.03 2019
28 Sweden 84.87 2019
29 Macao SAR, China 84.79 2019
30 Ecuador 84.67 2019
31 St. Vincent and the Grenadines 84.66 2019
32 Pakistan 84.54 2019
33 Netherlands 84.15 2019
34 Rwanda 83.99 2019
35 Belize 83.97 2019
36 Bangladesh 83.83 2019
37 Afghanistan 83.80 2019
38 Indonesia 83.79 2019
39 Georgia 83.44 2019
40 Singapore 83.31 2019
41 Czech Republic 83.24 2019
42 Uruguay 83.16 2019
43 El Salvador 83.01 2019
44 China 82.91 2019
45 Malawi 82.84 2019
46 Kazakhstan 82.80 2019
47 Australia 82.64 2019
48 Mali 82.63 2019
49 Mexico 82.57 2019
50 Germany 82.53 2019
51 Thailand 82.36 2019
52 Estonia 82.32 2019
53 Lao PDR 82.31 2019
54 United Kingdom 82.27 2019
55 Malta 82.11 2019
56 Cameroon 82.10 2019
57 Libya 82.07 2019
58 Canada 81.91 2019
59 Saudi Arabia 81.88 2019
60 Uzbekistan 81.74 2019
61 Turkmenistan 81.68 2019
62 India 81.63 2019
63 St. Lucia 81.60 2019
64 Dominican Republic 81.46 2019
65 Denmark 81.43 2019
66 Costa Rica 81.34 2019
67 Myanmar 81.34 2019
68 Malaysia 81.13 2019
69 Bolivia 81.02 2019
70 Solomon Islands 80.85 2019
71 Hong Kong SAR, China 80.79 2019
72 Austria 80.67 2019
73 Venezuela 80.58 2019
74 Vanuatu 80.47 2019
75 Botswana 80.47 2019
76 Belarus 80.26 2019
77 Brazil 80.22 2019
78 Barbados 80.15 2019
79 Zambia 80.14 2019
80 Togo 80.03 2019
81 Angola 80.02 2019
82 Argentina 79.79 2019
83 Central African Republic 79.78 2019
84 Latvia 79.78 2019
85 Russia 79.69 2019
86 Mauritius 79.57 2019
87 Mozambique 79.57 2019
88 Kyrgyz Republic 79.42 2019
89 Chile 79.41 2019
90 Norway 79.23 2019
91 Cuba 79.23 2019
92 Guinea-Bissau 79.17 2019
93 Fiji 79.01 2019
94 Korea 78.84 2019
95 Trinidad and Tobago 78.78 2019
96 North Macedonia 78.70 2019
97 Hungary 78.66 2019
98 Spain 78.60 2019
99 Slovak Republic 78.57 2019
100 Ireland 78.51 2019
101 Finland 78.39 2019
102 Jamaica 78.19 2019
103 Turkey 78.07 2019
104 São Tomé and Principe 78.05 2019
105 Burundi 78.04 2019
106 Portugal 77.85 2019
107 Lithuania 77.75 2019
108 Guyana 77.65 2019
109 United States 77.61 2019
110 Chad 77.60 2019
111 Poland 77.09 2019
112 Bhutan 77.03 2019
113 Cyprus 77.02 2019
114 Egypt 76.98 2019
115 Slovenia 76.97 2019
116 Sri Lanka 76.88 2019
117 Somalia 76.81 2019
118 Lebanon 76.51 2019
119 Cabo Verde 76.40 2019
120 Tunisia 76.32 2019
121 Philippines 76.26 2019
122 New Caledonia 76.23 2019
123 Romania 76.09 2019
124 Israel 76.02 2019
125 Lesotho 76.00 2019
126 Burkina Faso 75.93 2019
127 Greece 75.82 2019
128 France 75.72 2019
129 Bulgaria 75.72 2019
130 Uganda 75.62 2019
131 Iraq 75.48 2019
132 Brunei 75.37 2019
133 Armenia 75.37 2019
134 Tonga 75.23 2019
135 Iran 75.16 2019
136 Albania 75.08 2019
137 Morocco 74.92 2019
138 Italy 74.69 2019
139 Djibouti 74.47 2019
140 Azerbaijan 74.07 2019
141 Benin 73.66 2019
142 Luxembourg 73.43 2019
143 Algeria 73.34 2019
144 Syrian Arab Republic 73.18 2019
145 Haiti 72.98 2019
146 Serbia 72.93 2019
147 Ghana 72.84 2019
148 Ukraine 72.82 2019
149 Belgium 72.68 2019
150 Congo 72.65 2019
151 Yemen 72.38 2019
152 Croatia 71.79 2019
153 Sudan 71.35 2019
154 Kenya 69.61 2019
155 Suriname 69.57 2019
156 Mongolia 69.56 2019
157 Bosnia and Herzegovina 69.43 2019
158 The Gambia 68.88 2019
159 Equatorial Guinea 68.59 2019
160 Eswatini 68.38 2019
161 Namibia 67.77 2019
162 Montenegro 67.54 2019
163 Jordan 67.20 2019
164 Côte d'Ivoire 66.79 2019
165 Dem. Rep. Congo 66.34 2019
166 Guinea 66.18 2019
167 South Africa 65.99 2019
168 Mauritania 64.31 2019
169 Tajikistan 62.68 2019
170 Gabon 62.52 2019
171 Senegal 60.05 2019
172 Nigeria 59.77 2019
173 Puerto Rico 59.72 2019
174 Sierra Leone 58.37 2019
175 Liberia 57.55 2019
176 Timor-Leste 53.51 2019
177 Comoros 51.13 2019
178 Moldova 49.42 2019
179 Papua New Guinea 48.86 2019
180 Samoa 40.31 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.