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 Iceland 88.28 2019
2 Madagascar 87.72 2019
3 Qatar 87.69 2019
4 Dem. People's Rep. Korea 85.80 2019
5 Nepal 85.34 2019
6 Zimbabwe 84.55 2019
7 Tanzania 84.33 2019
8 Rwanda 84.32 2019
9 Switzerland 84.03 2019
10 United Arab Emirates 83.70 2019
11 Sweden 83.08 2019
12 Cambodia 83.02 2019
13 Vietnam 82.80 2019
14 Ethiopia 82.44 2019
15 Eritrea 82.36 2019
16 The Bahamas 82.12 2019
17 Lao PDR 81.55 2019
18 New Zealand 81.14 2019
19 Peru 80.55 2019
20 Niger 80.09 2019
21 Netherlands 79.93 2019
22 Burundi 79.91 2019
23 Macao SAR, China 79.01 2019
24 Denmark 78.85 2019
25 Estonia 78.77 2019
26 Togo 78.75 2019
27 Mozambique 78.65 2019
28 Canada 78.60 2019
29 Malawi 78.55 2019
30 Germany 78.49 2019
31 Angola 78.14 2019
32 Kazakhstan 78.13 2019
33 Japan 78.04 2019
34 Australia 77.63 2019
35 United Kingdom 77.61 2019
36 Barbados 77.46 2019
37 Belarus 77.38 2019
38 Norway 77.31 2019
39 Latvia 77.18 2019
40 Cameroon 77.04 2019
41 Finland 76.82 2019
42 Czech Republic 76.50 2019
43 Lithuania 76.43 2019
44 Austria 76.28 2019
45 Singapore 76.27 2019
46 China 76.04 2019
47 Zambia 75.90 2019
48 Uruguay 75.84 2019
49 Botswana 74.94 2019
50 Kuwait 74.80 2019
51 Bahrain 74.78 2019
52 Colombia 74.78 2019
53 Portugal 74.75 2019
54 St. Lucia 74.74 2019
55 Thailand 74.61 2019
56 St. Vincent and the Grenadines 74.37 2019
57 Slovenia 74.30 2019
58 Paraguay 74.30 2019
59 Oman 74.20 2019
60 Russia 74.10 2019
61 Guinea-Bissau 73.85 2019
62 Spain 73.72 2019
63 Cabo Verde 73.33 2019
64 Georgia 73.33 2019
65 Cyprus 73.10 2019
66 Mali 72.94 2019
67 Central African Republic 72.82 2019
68 Jamaica 72.74 2019
69 Israel 72.65 2019
70 Slovak Republic 72.63 2019
71 Ireland 72.56 2019
72 Hong Kong SAR, China 72.31 2019
73 Ecuador 72.26 2019
74 United States 72.20 2019
75 Solomon Islands 72.18 2019
76 Benin 72.18 2019
77 Uganda 72.07 2019
78 Hungary 71.96 2019
79 Bulgaria 71.75 2019
80 France 71.72 2019
81 Azerbaijan 71.64 2019
82 Vanuatu 71.45 2019
83 Chad 71.43 2019
84 Panama 71.33 2019
85 New Caledonia 71.12 2019
86 Brazil 70.35 2019
87 Congo 70.33 2019
88 Poland 70.22 2019
89 Malta 70.21 2019
90 Nicaragua 69.85 2019
91 Belize 69.79 2019
92 Luxembourg 69.75 2019
93 Bolivia 69.59 2019
94 Bhutan 69.56 2019
95 Korea 69.45 2019
96 Uzbekistan 69.31 2019
97 Indonesia 69.24 2019
98 Brunei 69.02 2019
99 Chile 69.02 2019
100 Haiti 69.00 2019
101 Ghana 68.95 2019
102 Lesotho 68.85 2019
103 Turkmenistan 68.78 2019
104 Malaysia 68.71 2019
105 Argentina 68.36 2019
106 Trinidad and Tobago 68.31 2019
107 Dominican Republic 68.25 2019
108 Greece 68.22 2019
109 Belgium 68.16 2019
110 Burkina Faso 67.81 2019
111 Afghanistan 67.77 2019
112 Honduras 67.45 2019
113 Romania 67.12 2019
114 Croatia 67.01 2019
115 Kenya 66.84 2019
116 Costa Rica 66.81 2019
117 Djibouti 66.44 2019
118 Ukraine 66.43 2019
119 Venezuela 66.28 2019
120 Guinea 66.28 2019
121 Serbia 66.25 2019
122 Myanmar 66.12 2019
123 Mauritius 66.02 2019
124 Albania 65.73 2019
125 North Macedonia 65.59 2019
126 Kyrgyz Republic 65.33 2019
127 El Salvador 65.29 2019
128 Italy 65.24 2019
129 Armenia 65.09 2019
130 Mexico 64.84 2019
131 Guatemala 64.48 2019
132 Cuba 64.27 2019
133 Dem. Rep. Congo 63.86 2019
134 Equatorial Guinea 63.75 2019
135 Namibia 63.34 2019
136 Mongolia 62.94 2019
137 Philippines 62.20 2019
138 São Tomé and Principe 61.50 2019
139 Tonga 61.42 2019
140 Guyana 61.32 2019
141 Bangladesh 61.12 2019
142 The Gambia 60.75 2019
143 Montenegro 60.73 2019
144 Fiji 60.40 2019
145 South Africa 59.66 2019
146 Saudi Arabia 58.89 2019
147 Sierra Leone 58.60 2019
148 Côte d'Ivoire 58.19 2019
149 Turkey 57.68 2019
150 Bosnia and Herzegovina 57.50 2019
151 Suriname 56.82 2019
152 Sri Lanka 56.67 2019
153 Liberia 56.64 2019
154 Eswatini 55.66 2019
155 Pakistan 55.65 2019
156 Nigeria 55.20 2019
157 Libya 54.91 2019
158 Gabon 54.50 2019
159 India 54.19 2019
160 Lebanon 51.67 2019
161 Tunisia 51.37 2019
162 Egypt 51.22 2019
163 Puerto Rico 49.61 2019
164 Morocco 48.56 2019
165 Papua New Guinea 48.24 2019
166 Sudan 48.08 2019
167 Somalia 48.02 2019
168 Senegal 47.94 2019
169 Mauritania 47.45 2019
170 Moldova 46.92 2019
171 Iran 46.49 2019
172 Tajikistan 45.91 2019
173 Algeria 45.14 2019
174 Comoros 44.95 2019
175 Iraq 44.59 2019
176 Syrian Arab Republic 43.14 2019
177 Jordan 41.54 2019
178 Timor-Leste 39.71 2019
179 Yemen 39.47 2019
180 Samoa 33.18 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.