Employment to population ratio, 15+, male (%) (national estimate) - Country Ranking

Definition: Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.

Source: International Labour Organization, ILOSTAT database. Data retrieved in December 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Qatar 94.12 2020
2 Madagascar 87.63 2015
3 Solomon Islands 87.29 2013
4 Kuwait 87.02 2016
5 Ethiopia 86.93 2013
6 Bahrain 86.80 2015
7 Tanzania 86.74 2014
8 United Arab Emirates 85.53 2020
9 Oman 85.47 2020
10 Cuba 84.40 2013
11 Guatemala 82.13 2019
12 Cayman Islands 81.82 2015
13 Nicaragua 80.15 2014
14 Mauritius 78.54 2020
14 Paraguay 78.54 2020
16 Iceland 78.05 2020
17 Bangladesh 78.00 2017
18 Indonesia 77.90 2020
19 Belize 77.59 2019
20 Mozambique 77.57 2015
21 Malaysia 77.06 2020
22 Saudi Arabia 76.69 2020
23 Burundi 76.39 2017
24 Pakistan 76.33 2019
25 Cambodia 76.21 2019
26 Mali 76.12 2018
27 Macao SAR, China 76.08 2016
28 Venezuela 75.81 2017
29 Bolivia 75.30 2020
30 San Marino 75.21 1998
31 Myanmar 75.20 2019
32 Cameroon 75.13 2014
33 Thailand 74.59 2020
34 Fiji 74.15 2016
35 Vietnam 73.72 2020
36 El Salvador 73.41 2020
37 Nauru 73.19 2013
38 Palau 72.50 2014
39 New Zealand 72.23 2020
40 India 72.17 2020
41 Kazakhstan 72.10 2020
42 Antigua and Barbuda 72.02 2001
43 Belarus 71.86 2020
44 Chad 71.74 2018
45 Singapore 71.68 2020
46 Dominican Republic 71.04 2020
47 Sri Lanka 70.55 2019
48 Kyrgyz Republic 70.28 2020
49 Timor-Leste 70.18 2016
50 Switzerland 69.97 2020
51 Korea 69.92 2020
52 Bhutan 69.87 2015
53 Sweden 69.77 2020
54 Kenya 69.51 2019
55 Brunei 69.20 2020
56 Japan 69.15 2021
57 Benin 68.86 2018
58 St. Kitts and Nevis 68.77 2001
59 Ecuador 68.47 2020
60 Mexico 68.27 2020
61 Malta 68.11 2020
62 Peru 67.92 2020
63 Tuvalu 67.90 2016
64 The Bahamas 67.82 2012
65 Grenada 67.70 1998
66 Syrian Arab Republic 67.68 2010
67 Australia 66.95 2021
68 Honduras 66.78 2020
69 Trinidad and Tobago 66.76 2016
70 Netherlands 66.75 2020
71 Colombia 66.62 2020
72 Czech Republic 66.60 2020
73 Liechtenstein 66.20 2017
74 Panama 66.15 2021
75 Russia 66.09 2020
76 Dem. Rep. Congo 66.08 2012
77 Haiti 65.92 2012
78 Azerbaijan 65.70 2020
79 Estonia 65.68 2020
80 United Kingdom 65.50 2019
81 Philippines 65.25 2020
82 Jamaica 65.01 2021
83 Iraq 64.98 2017
84 Morocco 64.76 2016
85 Canada 64.29 2021
86 Seychelles 64.25 2020
87 Cyprus 64.03 2020
88 United States 63.90 2021
89 St. Lucia 63.83 2019
90 Côte d'Ivoire 63.78 2017
91 Germany 63.74 2020
92 Ireland 63.60 2020
93 Hungary 63.58 2020
94 Suriname 63.51 2016
95 Egypt 63.41 2020
96 Lebanon 63.39 2019
97 Poland 63.07 2020
98 Greenland 63.00 2015
99 Denmark 62.85 2020
100 Senegal 62.76 2019
101 Israel 62.56 2020
102 Austria 62.54 2020
103 Uruguay 62.49 2020
104 Norway 62.48 2020
105 Lithuania 62.44 2020
106 Slovak Republic 62.40 2020
107 Latvia 62.31 2020
108 Iran 62.29 2020
109 Brazil 62.01 2020
110 Romania 61.96 2020
111 Guinea 61.94 2019
112 Mongolia 61.93 2020
113 Dominica 61.84 2001
114 Guinea-Bissau 61.72 2018
115 Hong Kong SAR, China 61.60 2020
116 Sudan 61.39 2011
117 Costa Rica 61.01 2020
118 Luxembourg 60.29 2020
119 Albania 60.06 2019
120 Algeria 60.01 2017
121 Afghanistan 59.86 2020
122 Tunisia 59.81 2017
123 Turkey 59.77 2020
124 Nigeria 59.63 2019
125 Slovenia 59.62 2020
126 Barbados 59.59 2019
127 New Caledonia 59.58 2014
128 Argentina 59.24 2020
129 Chile 59.17 2020
130 Bulgaria 59.06 2020
131 Portugal 58.95 2020
132 Finland 57.94 2020
133 Togo 57.73 2017
134 Cabo Verde 57.59 2019
135 Yemen 57.34 2014
136 Ukraine 57.18 2020
137 Monaco 57.07 2016
138 Serbia 56.56 2020
139 Ghana 56.45 2017
140 Malawi 56.33 2020
141 Belgium 55.14 2020
142 Tonga 54.71 2018
143 North Macedonia 54.34 2020
144 Sierra Leone 54.23 2018
145 Rwanda 54.17 2020
146 Guyana 54.16 2019
147 France 54.07 2020
148 Mauritania 53.95 2017
149 Croatia 53.64 2020
150 Spain 53.47 2020
151 Armenia 53.44 2020
152 Comoros 53.20 2014
153 Italy 52.95 2020
154 Libya 51.30 2012
155 Uganda 51.26 2017
156 Greece 51.06 2020
157 Bosnia and Herzegovina 50.87 2020
158 Jordan 50.54 2020
159 Vanuatu 50.52 2019
160 Burkina Faso 50.46 2018
161 Montenegro 50.00 2020
162 Gabon 49.77 2010
163 Botswana 49.74 2020
164 Georgia 49.48 2020
165 Namibia 49.45 2018
166 Samoa 49.15 2017
167 Tajikistan 48.70 2016
168 Nepal 48.29 2017
169 Papua New Guinea 47.67 2010
170 Angola 45.72 2014
171 The Gambia 45.32 2018
172 Zimbabwe 44.28 2019
173 Eswatini 44.10 2016
174 Moldova 43.12 2020
175 Lesotho 42.61 2019
176 Puerto Rico 42.39 2015
177 South Africa 41.50 2020
178 Lao PDR 40.35 2017
179 Kiribati 39.45 2019
180 Zambia 39.38 2019
181 Somalia 37.46 2019
182 São Tomé and Principe 36.96 2006
183 Uzbekistan 36.86 2020
184 Djibouti 36.64 2017
185 Niger 36.49 2017
186 Congo 32.67 2009
187 Liberia 28.65 2017

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Development Relevance: Four targets were added to the UN Millennium Declaration at the 2005 World Summit High-Level Plenary Meeting of the 60th Session of the UN General Assembly. One was full and productive employment and decent work for all, which is seen as the main route for people to escape poverty. Employment to population ratio is a key measure to monitor whether a country is on track to achieve the Millennium Development Goal of eradicating extreme poverty and hunger by 2015. And it continues to be a priority in the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.

Limitations and Exceptions: Data on employment by status are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. The labor force survey is the most comprehensive source for internationally comparable employment, but there are still some limitations for comparing data across countries and over time even within a country. Comparability of employment ratios across countries is affected by variations in definitions of employment and population. The biggest difference results from the age range used to define labor force activity. The population base for employment ratios can also vary. Most countries use the resident, non-institutionalized population of working age living in private households, which excludes members of the armed forces and individuals residing in mental, penal, or other types of institutions. But some countries include members of the armed forces in the population base of their employment ratio while excluding them from employment data. 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. Employment ratios tend to vary during the year as seasonal workers enter and leave. This indicator also has a gender bias because women who do not consider their work employment or who are not perceived as working tend to be undercounted. This bias has different effects across countries and reflects demographic, social, legal, and cultural trends and norms.

Statistical Concept and Methodology: The employment to population ratio indicates how efficiently an economy provides jobs for people who want to work. A high ratio means that a large proportion of the population is employed. But a lower employment to population ratio can be seen as a positive sign, especially for young people, if it is caused by an increase in their education.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.