Labor force participation rate, total (% of total 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 87.67 2019
2 Madagascar 87.15 2019
3 Iceland 86.67 2019
4 Dem. People's Rep. Korea 86.24 2019
5 Nepal 85.66 2019
6 Solomon Islands 85.34 2019
7 Cambodia 84.90 2019
8 Tanzania 84.52 2019
9 Switzerland 84.21 2019
10 Rwanda 84.08 2019
11 Zimbabwe 83.98 2019
12 Sweden 83.13 2019
13 Vietnam 83.09 2019
14 United Arab Emirates 82.76 2019
15 The Bahamas 81.46 2019
16 Lao PDR 81.38 2019
17 Ethiopia 81.34 2019
18 Eritrea 81.25 2019
19 Peru 81.04 2019
20 Netherlands 80.94 2019
21 New Zealand 80.89 2019
22 Burundi 80.00 2019
23 Japan 79.82 2019
24 St. Lucia 79.14 2019
25 Germany 79.08 2019
26 Canada 79.04 2019
27 Denmark 79.01 2019
28 Estonia 78.90 2019
29 Australia 78.51 2019
30 Mozambique 78.33 2019
31 Lithuania 78.24 2019
32 Norway 78.17 2019
33 Finland 78.15 2019
33 Macao SAR, China 78.15 2019
35 Belarus 78.06 2019
36 United Kingdom 78.01 2019
37 Angola 77.93 2019
38 Latvia 77.74 2019
39 Barbados 77.73 2019
40 Singapore 77.42 2019
41 Malawi 77.31 2019
42 Liberia 77.08 2019
43 Cameroon 76.90 2019
44 Austria 76.86 2019
44 Czech Republic 76.86 2019
46 Kazakhstan 76.59 2019
47 Paraguay 76.18 2019
48 China 75.88 2019
49 Portugal 75.77 2019
50 Uruguay 75.28 2019
51 Slovenia 75.13 2019
51 Zambia 75.13 2019
53 Bahrain 75.09 2019
54 Kuwait 74.97 2019
55 Cyprus 74.84 2019
56 Kenya 74.56 2019
57 Malta 74.39 2019
58 St. Vincent and the Grenadines 74.28 2019
59 Bolivia 74.21 2019
60 Spain 74.17 2019
60 Thailand 74.17 2019
62 Russia 73.96 2019
63 Ireland 73.51 2019
64 Niger 73.39 2019
65 Bulgaria 73.37 2019
66 United States 73.11 2019
67 Botswana 73.05 2019
68 Guinea-Bissau 72.89 2019
69 Colombia 72.86 2019
70 Slovak Republic 72.72 2019
71 Hungary 72.57 2019
72 Central African Republic 72.48 2019
73 Hong Kong SAR, China 72.27 2019
74 Israel 72.18 2019
75 Panama 72.16 2019
76 Azerbaijan 72.04 2019
77 France 71.82 2019
78 Luxembourg 71.66 2019
78 Benin 71.66 2019
80 Jamaica 71.38 2019
81 Oman 71.36 2019
82 Mali 71.33 2019
83 New Caledonia 71.21 2019
84 Costa Rica 71.15 2019
85 Dominican Republic 71.05 2019
85 Honduras 71.05 2019
87 Ecuador 70.96 2019
88 Uganda 70.94 2019
89 Brazil 70.93 2019
90 Poland 70.85 2019
91 Chad 70.72 2019
92 Vanuatu 70.55 2019
93 Congo 70.33 2019
94 Indonesia 70.20 2019
95 Bhutan 70.04 2019
96 Lesotho 69.87 2019
97 Albania 69.61 2019
98 Nicaragua 69.53 2019
99 Georgia 69.40 2019
100 Argentina 69.37 2019
101 Ghana 69.21 2019
102 Korea 69.11 2019
103 Belgium 69.06 2019
104 Haiti 68.93 2019
105 Chile 68.90 2019
106 Romania 68.75 2019
107 Greece 68.70 2019
108 Malaysia 68.64 2019
109 Trinidad and Tobago 68.59 2019
110 Brunei 68.53 2019
111 Burkina Faso 67.79 2019
112 Belize 67.71 2019
113 Serbia 67.60 2019
114 Timor-Leste 67.49 2019
115 Croatia 66.99 2019
116 Ukraine 66.64 2019
117 Mongolia 66.34 2019
118 Montenegro 66.31 2019
119 Mauritius 66.17 2019
120 North Macedonia 66.07 2019
121 Italy 65.82 2019
122 Mexico 65.25 2019
123 Uzbekistan 65.19 2019
124 Guatemala 64.71 2019
125 Myanmar 64.51 2019
126 Cuba 64.29 2019
127 Dem. Rep. Congo 64.07 2019
128 Cabo Verde 63.89 2019
129 Djibouti 63.70 2019
130 Equatorial Guinea 63.19 2019
131 El Salvador 63.15 2019
132 Guinea 62.96 2019
133 Venezuela 62.51 2019
134 Kyrgyz Republic 62.35 2019
135 Philippines 62.30 2019
136 Armenia 61.55 2019
137 Bangladesh 61.54 2019
138 Turkmenistan 61.20 2019
139 Namibia 60.59 2019
140 The Gambia 60.54 2019
141 Fiji 60.29 2019
142 South Africa 60.13 2019
143 São Tomé and Principe 59.89 2019
144 Sierra Leone 58.80 2019
145 Guyana 58.64 2019
146 Togo 58.49 2019
147 Turkey 58.09 2019
148 Saudi Arabia 57.95 2019
149 Bosnia and Herzegovina 57.74 2019
150 Sri Lanka 57.52 2019
151 Suriname 56.83 2019
152 Nigeria 56.66 2019
153 Gabon 54.74 2019
154 Eswatini 54.71 2019
155 Côte d'Ivoire 54.56 2019
156 Pakistan 54.50 2019
157 Libya 52.80 2019
158 India 52.13 2019
159 Tunisia 51.53 2019
160 Lebanon 51.07 2019
161 Afghanistan 50.49 2019
162 Puerto Rico 50.32 2019
163 Sudan 49.74 2019
164 Somalia 49.42 2019
165 Tonga 49.26 2019
166 Morocco 48.73 2019
167 Papua New Guinea 48.42 2019
168 Iran 48.00 2019
169 Egypt 47.87 2019
170 Moldova 47.17 2019
171 Senegal 47.14 2019
172 Syrian Arab Republic 46.84 2019
173 Comoros 46.56 2019
174 Mauritania 46.54 2019
175 Samoa 46.42 2019
176 Algeria 46.37 2019
177 Iraq 44.67 2019
178 Jordan 41.78 2019
179 Tajikistan 41.47 2019
180 Yemen 39.39 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.