Employment to population ratio, 15+, female (%) (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 Solomon Islands 83.30 2013
2 Madagascar 82.08 2015
3 Burundi 78.92 2017
4 Tanzania 77.97 2014
5 San Marino 77.28 2015
6 Cayman Islands 76.77 2015
7 Mozambique 75.28 2015
8 Ethiopia 72.11 2013
9 Iceland 71.03 2020
10 Uzbekistan 70.26 2020
11 Macao SAR, China 66.33 2016
12 Sweden 64.56 2020
13 Cameroon 64.49 2014
14 Belarus 63.51 2020
15 Seychelles 62.00 2020
16 New Zealand 61.92 2020
17 St. Kitts and Nevis 61.67 2001
18 Cambodia 61.61 2019
19 Antigua and Barbuda 60.47 2001
20 Vietnam 60.43 2020
21 Kazakhstan 60.30 2020
22 Dem. Rep. Congo 60.27 2012
23 Kenya 59.59 2019
24 Norway 59.44 2020
25 The Bahamas 59.42 2012
26 Switzerland 59.39 2020
27 Azerbaijan 58.60 2020
28 Thailand 58.54 2020
29 United Arab Emirates 58.29 2020
30 Australia 58.15 2021
31 Singapore 57.73 2020
32 Timor-Leste 57.53 2016
33 Netherlands 57.51 2020
34 Greenland 57.00 2015
35 Qatar 56.61 2020
36 United Kingdom 56.39 2019
37 Canada 56.26 2021
38 Israel 55.81 2020
39 Benin 55.64 2018
40 Cuba 55.30 2013
41 Germany 54.91 2020
42 Barbados 54.74 2019
43 Palau 54.59 2014
44 Togo 54.34 2017
45 Denmark 54.29 2020
46 Bhutan 54.18 2015
47 St. Lucia 54.02 2019
48 Bolivia 53.80 2020
49 Estonia 53.76 2020
50 United States 53.17 2021
51 Luxembourg 53.04 2020
52 Lithuania 52.93 2020
53 Peru 52.90 2020
54 Ghana 52.89 2017
55 Malaysia 52.75 2020
56 Austria 52.73 2020
57 Mauritius 52.35 2020
58 Cyprus 52.28 2020
59 Japan 52.18 2021
60 Liechtenstein 52.10 2017
61 Latvia 52.07 2020
61 Russia 52.07 2020
63 Ireland 51.98 2020
64 Hong Kong SAR, China 51.59 2020
65 Paraguay 51.57 2020
66 Indonesia 51.17 2020
67 Jamaica 51.12 2021
67 Finland 51.12 2020
69 Korea 51.06 2020
70 Mali 50.79 2018
71 Malta 50.61 2020
72 Venezuela 50.51 2017
73 Sierra Leone 50.45 2018
74 Czech Republic 50.28 2020
75 Brunei 50.24 2020
76 Slovenia 50.18 2020
77 Portugal 49.83 2020
78 New Caledonia 49.72 2014
79 Belize 49.42 2019
80 Chad 48.90 2018
81 Mongolia 48.34 2020
82 Slovak Republic 48.25 2020
83 Trinidad and Tobago 48.03 2016
84 Guinea-Bissau 47.74 2018
85 Uruguay 47.30 2020
86 Papua New Guinea 47.07 2010
87 Kuwait 46.98 2016
88 Albania 46.89 2019
89 Bulgaria 46.85 2020
90 Belgium 46.70 2020
91 France 46.60 2020
92 Hungary 46.32 2020
92 Poland 46.32 2020
94 Nauru 46.07 2013
95 Myanmar 45.78 2019
96 Nigeria 45.63 2019
97 Nicaragua 45.35 2014
98 Haiti 45.32 2012
99 Namibia 45.11 2018
100 Ecuador 44.88 2020
101 Cabo Verde 44.43 2019
102 Côte d'Ivoire 44.38 2017
103 Ukraine 43.76 2020
104 El Salvador 43.48 2020
105 Dominican Republic 43.42 2020
106 Grenada 43.30 1998
107 Romania 43.21 2020
108 Spain 42.62 2020
109 Serbia 42.13 2020
110 Kyrgyz Republic 42.10 2020
111 Botswana 42.04 2020
112 Bahrain 42.01 2015
113 Vanuatu 41.93 2019
114 Panama 41.75 2021
115 Philippines 41.38 2020
116 Brazil 41.34 2020
117 Croatia 41.30 2020
118 Honduras 41.25 2020
119 Argentina 41.02 2020
120 Dominica 40.80 2001
121 Colombia 40.70 2020
121 Guinea 40.70 2019
123 Malawi 40.63 2020
124 Suriname 40.30 2016
125 Chile 39.47 2020
126 Mexico 39.26 2020
127 Monaco 39.22 2016
128 Congo 39.14 2009
129 Armenia 38.35 2020
130 Rwanda 38.25 2020
131 Montenegro 37.87 2020
132 Tonga 36.97 2018
133 Guatemala 36.73 2019
134 North Macedonia 36.62 2020
135 Uganda 36.50 2017
136 Fiji 36.41 2016
137 Senegal 36.33 2019
138 Burkina Faso 36.19 2018
139 Costa Rica 35.91 2020
140 Italy 35.78 2020
141 Eswatini 35.63 2016
142 Lesotho 35.14 2019
143 Oman 34.98 2020
144 Moldova 34.96 2020
145 Greece 34.90 2020
146 Bangladesh 33.92 2017
147 Georgia 33.88 2020
148 Lao PDR 33.68 2017
149 Angola 33.65 2014
150 Guyana 33.36 2019
151 Tuvalu 32.12 2016
152 Sri Lanka 31.90 2019
153 Tajikistan 30.86 2016
154 South Africa 30.40 2020
155 Bosnia and Herzegovina 29.90 2020
156 Comoros 29.59 2014
157 Puerto Rico 28.86 2015
158 Gabon 28.53 2010
159 Zimbabwe 28.42 2019
160 Turkey 26.26 2020
161 Kiribati 26.20 2019
162 Libya 25.30 2012
163 Lebanon 25.09 2019
164 India 25.04 2020
165 Samoa 24.76 2017
166 Mauritania 24.10 2017
167 Zambia 23.17 2019
168 Nepal 22.88 2017
169 Saudi Arabia 22.79 2020
170 The Gambia 22.70 2018
171 Pakistan 22.05 2019
172 São Tomé and Principe 21.71 2006
173 Morocco 21.19 2016
174 Tunisia 20.49 2017
175 Sudan 19.62 2011
176 Liberia 17.75 2017
177 Somalia 14.73 2019
178 Niger 13.89 2017
179 Afghanistan 13.73 2020
180 Algeria 13.46 2017
181 Egypt 11.76 2020
182 Iran 11.70 2020
183 Djibouti 11.67 2017
184 Jordan 10.95 2020
185 Syrian Arab Republic 10.10 2010
186 Iraq 7.72 2017
187 Yemen 4.46 2014

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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.