Wage and salaried workers, male (% of male employment) (modeled ILO estimate) - Country Ranking

Definition: Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.

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 99.61 2019
2 Kuwait 97.84 2019
3 Bahrain 97.41 2019
4 Oman 96.45 2019
5 United Arab Emirates 95.20 2019
6 Saudi Arabia 94.89 2019
7 Belarus 94.24 2019
8 United States 93.04 2019
9 Brunei 92.24 2019
10 Norway 91.48 2019
11 Macao SAR, China 90.94 2019
12 Russia 90.46 2019
13 Luxembourg 90.38 2019
14 Denmark 89.01 2019
15 Japan 88.65 2019
16 Hong Kong SAR, China 88.39 2019
17 Germany 88.11 2019
18 Hungary 87.11 2019
19 Bulgaria 86.81 2019
20 Latvia 86.69 2019
21 Sweden 86.36 2019
22 Austria 85.50 2019
23 Estonia 85.39 2019
24 Lithuania 85.16 2019
25 Israel 85.09 2019
26 Croatia 84.93 2019
27 France 84.72 2019
28 Iceland 84.57 2019
29 Switzerland 83.97 2019
30 Jordan 83.76 2019
31 Cyprus 83.70 2019
32 Suriname 83.25 2019
33 Singapore 83.12 2019
34 Finland 83.00 2019
35 Slovenia 82.98 2019
36 Ukraine 82.78 2019
37 Belgium 82.71 2019
38 Canada 81.78 2019
39 South Africa 81.27 2019
40 Spain 81.04 2019
41 New Caledonia 81.00 2019
42 Slovak Republic 80.69 2019
43 United Kingdom 80.51 2019
44 Netherlands 80.39 2019
45 Malta 80.26 2019
46 Ireland 79.93 2019
47 Australia 79.72 2019
48 Czech Republic 79.60 2019
49 Portugal 79.32 2019
50 New Zealand 77.88 2019
51 Barbados 77.76 2019
52 Botswana 77.47 2019
53 The Bahamas 77.24 2019
54 Mauritius 76.82 2019
55 Poland 76.53 2019
56 North Macedonia 76.51 2019
57 Puerto Rico 76.41 2019
58 Bosnia and Herzegovina 75.76 2019
59 Kazakhstan 75.56 2019
60 Iraq 75.20 2019
61 Romania 74.49 2019
62 Montenegro 73.75 2019
63 Korea 73.57 2019
64 Malaysia 73.45 2019
65 Italy 73.15 2019
66 Tajikistan 72.94 2019
67 Chile 71.75 2019
68 Costa Rica 71.55 2019
69 Tunisia 71.39 2019
70 Argentina 71.19 2019
71 St. Vincent and the Grenadines 70.70 2019
72 Turkmenistan 70.48 2019
73 Djibouti 70.44 2019
74 Eswatini 70.36 2019
75 Cabo Verde 70.33 2019
76 Egypt 69.82 2019
77 Turkey 69.28 2019
78 Trinidad and Tobago 69.17 2019
79 Serbia 68.96 2019
80 Uruguay 68.82 2019
81 Gabon 68.75 2019
82 Mexico 68.57 2019
83 El Salvador 66.85 2019
84 Namibia 66.74 2019
85 Algeria 66.44 2019
86 Philippines 66.01 2019
87 Uzbekistan 65.90 2019
88 St. Lucia 65.76 2019
89 Guatemala 65.56 2019
90 Belize 65.53 2019
91 Guyana 65.23 2019
92 Greece 64.29 2019
93 Samoa 64.28 2019
94 Moldova 64.12 2019
95 Kyrgyz Republic 63.25 2019
96 Cuba 62.80 2019
97 Brazil 62.76 2019
98 Armenia 62.34 2019
99 Nicaragua 60.85 2019
100 Fiji 60.31 2019
101 Libya 60.22 2019
102 Lesotho 59.64 2019
103 Panama 59.19 2019
104 Cambodia 58.74 2019
105 Kenya 58.37 2019
106 Sri Lanka 57.96 2019
107 Paraguay 57.00 2019
108 China 56.28 2019
109 Venezuela 55.93 2019
110 Lebanon 55.61 2019
111 Jamaica 55.33 2019
112 Syrian Arab Republic 55.09 2019
113 Ecuador 54.83 2019
114 Morocco 54.11 2019
115 Tonga 53.56 2019
116 Mauritania 52.99 2019
117 Indonesia 52.95 2019
118 Honduras 52.52 2019
119 Iran 52.00 2019
120 Dominican Republic 50.36 2019
121 Vietnam 49.92 2019
122 Thailand 49.69 2019
123 Colombia 49.66 2019
124 Peru 49.46 2019
125 Mongolia 48.96 2019
126 Comoros 48.88 2019
126 Sudan 48.88 2019
128 Georgia 47.45 2019
129 Pakistan 47.23 2019
130 Solomon Islands 46.08 2019
131 Yemen 45.43 2019
132 Rwanda 44.44 2019
133 Malawi 44.29 2019
134 Albania 44.21 2019
135 Bangladesh 43.58 2019
136 São Tomé and Principe 43.08 2019
137 Zimbabwe 42.36 2019
138 Senegal 40.75 2019
139 Timor-Leste 39.88 2019
140 Azerbaijan 36.76 2019
141 Côte d'Ivoire 36.28 2019
142 Nepal 36.01 2019
143 Togo 35.84 2019
144 The Gambia 35.74 2019
145 Bhutan 35.44 2019
146 Ghana 35.29 2019
147 Myanmar 35.05 2019
148 Papua New Guinea 34.87 2019
149 Zambia 34.51 2019
150 Bolivia 34.23 2019
151 Vanuatu 33.86 2019
152 Congo 33.78 2019
153 Cameroon 33.34 2019
153 Haiti 33.34 2019
155 Liberia 33.00 2019
156 Lao PDR 31.82 2019
157 Angola 30.33 2019
158 Dem. Rep. Congo 30.02 2019
159 Uganda 28.34 2019
160 Mozambique 25.38 2019
161 Nigeria 24.72 2019
161 Mali 24.72 2019
163 India 24.17 2019
164 Afghanistan 20.33 2019
165 Tanzania 19.70 2019
166 Burundi 19.23 2019
167 Guinea-Bissau 18.69 2019
168 Ethiopia 17.97 2019
169 Benin 17.47 2019
170 Burkina Faso 16.73 2019
171 Sierra Leone 15.30 2019
172 Guinea 14.94 2019
173 Madagascar 13.87 2019
174 Eritrea 13.80 2019
175 Dem. People's Rep. Korea 12.83 2019
176 Chad 12.71 2019
177 Equatorial Guinea 11.59 2019
178 Somalia 9.91 2019
179 Central African Republic 9.90 2019
180 Niger 7.28 2019

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Development Relevance: Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy. Each status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.

Limitations and Exceptions: Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.

Statistical Concept and Methodology: The indicator of status in employment distinguishes between two categories of the total employed. These are: (a) wage and salaried workers (also known as employees); and (b) self-employed workers. Self-employed group is broken down in the subcategories: self-employed workers with employees (employers), self-employed workers without employees (own-account workers), members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of contributing family workers and own-account workers. 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