Contributing family workers, male (% of male employment) (modeled ILO estimate) - Country Ranking
Definition: Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.
Source: International Labour Organization, ILOSTAT database. Data retrieved in September 2019.
See also: Thematic map, Time series comparison
Rank | Country | Value | Year |
---|---|---|---|
1 | Dem. People's Rep. Korea | 38.37 | 2019 |
2 | Solomon Islands | 36.57 | 2019 |
3 | Eritrea | 29.90 | 2019 |
4 | Burkina Faso | 28.23 | 2019 |
5 | Central African Republic | 26.32 | 2019 |
6 | Guinea-Bissau | 24.90 | 2019 |
7 | Niger | 24.12 | 2019 |
8 | Azerbaijan | 24.04 | 2019 |
9 | Mali | 23.65 | 2019 |
10 | Somalia | 22.26 | 2019 |
11 | Bhutan | 20.56 | 2019 |
12 | Ethiopia | 20.30 | 2019 |
13 | Burundi | 19.22 | 2019 |
14 | Senegal | 18.88 | 2019 |
15 | Madagascar | 18.84 | 2019 |
16 | Tanzania | 18.14 | 2019 |
17 | Myanmar | 16.98 | 2019 |
18 | Albania | 16.76 | 2019 |
19 | Lao PDR | 16.55 | 2019 |
20 | Papua New Guinea | 15.49 | 2019 |
21 | Nepal | 14.96 | 2019 |
22 | Haiti | 14.71 | 2019 |
23 | Timor-Leste | 14.59 | 2019 |
24 | Guinea | 14.26 | 2019 |
25 | Fiji | 13.17 | 2019 |
26 | Tajikistan | 12.42 | 2019 |
27 | Rwanda | 12.13 | 2019 |
28 | Georgia | 11.47 | 2019 |
28 | Thailand | 11.47 | 2019 |
30 | Pakistan | 11.33 | 2019 |
31 | Afghanistan | 11.32 | 2019 |
32 | Yemen | 10.21 | 2019 |
33 | Mozambique | 10.19 | 2019 |
34 | Zambia | 9.45 | 2019 |
35 | Uganda | 9.43 | 2019 |
36 | Benin | 9.23 | 2019 |
37 | Vietnam | 9.16 | 2019 |
38 | Morocco | 8.92 | 2019 |
39 | Bolivia | 8.72 | 2019 |
40 | Honduras | 8.51 | 2019 |
41 | Angola | 8.43 | 2019 |
42 | Tonga | 8.41 | 2019 |
43 | Côte d'Ivoire | 8.10 | 2019 |
44 | The Gambia | 7.60 | 2019 |
45 | Peru | 7.58 | 2019 |
46 | India | 7.40 | 2019 |
47 | Guatemala | 7.35 | 2019 |
48 | Ecuador | 7.32 | 2019 |
49 | Zimbabwe | 7.30 | 2019 |
50 | Nicaragua | 7.19 | 2019 |
51 | Sierra Leone | 6.66 | 2019 |
52 | São Tomé and Principe | 6.53 | 2019 |
53 | Cameroon | 6.33 | 2019 |
54 | Indonesia | 5.92 | 2019 |
55 | Liberia | 5.68 | 2019 |
55 | China | 5.68 | 2019 |
57 | Dem. Rep. Congo | 5.28 | 2019 |
58 | Kenya | 4.79 | 2019 |
59 | Chad | 4.75 | 2019 |
60 | Paraguay | 4.71 | 2019 |
61 | Uzbekistan | 4.70 | 2019 |
62 | Mauritania | 4.64 | 2019 |
63 | El Salvador | 4.58 | 2019 |
64 | Turkey | 4.41 | 2019 |
65 | Malawi | 4.32 | 2019 |
66 | Romania | 4.28 | 2019 |
67 | Philippines | 4.24 | 2019 |
68 | Sudan | 4.13 | 2019 |
69 | Ghana | 4.12 | 2019 |
70 | Samoa | 3.96 | 2019 |
71 | Panama | 3.92 | 2019 |
72 | Kyrgyz Republic | 3.50 | 2019 |
73 | Bangladesh | 3.47 | 2019 |
74 | Namibia | 3.46 | 2019 |
74 | Togo | 3.46 | 2019 |
76 | North Macedonia | 3.43 | 2019 |
77 | Comoros | 3.25 | 2019 |
78 | Mexico | 3.22 | 2019 |
78 | Congo | 3.22 | 2019 |
80 | Lesotho | 3.21 | 2019 |
81 | Cambodia | 3.18 | 2019 |
82 | Nigeria | 3.06 | 2019 |
83 | Egypt | 2.96 | 2019 |
84 | Belize | 2.90 | 2019 |
85 | Venezuela | 2.73 | 2019 |
86 | Botswana | 2.57 | 2019 |
87 | Guyana | 2.50 | 2019 |
88 | Malaysia | 2.49 | 2019 |
89 | Serbia | 2.35 | 2019 |
90 | Sri Lanka | 2.30 | 2019 |
91 | Iran | 2.14 | 2019 |
92 | Cuba | 2.02 | 2019 |
93 | Cabo Verde | 1.97 | 2019 |
94 | Greece | 1.95 | 2019 |
95 | Eswatini | 1.93 | 2019 |
96 | Colombia | 1.92 | 2019 |
97 | Montenegro | 1.83 | 2019 |
98 | Moldova | 1.81 | 2019 |
99 | Algeria | 1.78 | 2019 |
100 | Turkmenistan | 1.77 | 2019 |
101 | Djibouti | 1.63 | 2019 |
102 | Syrian Arab Republic | 1.60 | 2019 |
102 | Tunisia | 1.60 | 2019 |
104 | Vanuatu | 1.57 | 2019 |
105 | Mongolia | 1.56 | 2019 |
106 | Slovenia | 1.52 | 2019 |
107 | Brazil | 1.45 | 2019 |
108 | Bosnia and Herzegovina | 1.44 | 2019 |
109 | Iraq | 1.40 | 2019 |
109 | Poland | 1.40 | 2019 |
111 | Suriname | 1.39 | 2019 |
112 | Equatorial Guinea | 1.32 | 2019 |
112 | Costa Rica | 1.32 | 2019 |
114 | Switzerland | 1.30 | 2019 |
115 | Austria | 1.04 | 2019 |
116 | Libya | 1.03 | 2019 |
117 | Croatia | 1.00 | 2019 |
117 | Italy | 1.00 | 2019 |
119 | Korea | 0.94 | 2019 |
120 | Dominican Republic | 0.90 | 2019 |
121 | Lebanon | 0.84 | 2019 |
122 | St. Vincent and the Grenadines | 0.81 | 2019 |
123 | Japan | 0.78 | 2019 |
124 | Latvia | 0.74 | 2019 |
124 | Mauritius | 0.74 | 2019 |
126 | Armenia | 0.73 | 2019 |
127 | Luxembourg | 0.67 | 2019 |
127 | Chile | 0.67 | 2019 |
129 | Cyprus | 0.66 | 2019 |
130 | New Zealand | 0.64 | 2019 |
131 | Gabon | 0.62 | 2019 |
132 | Jamaica | 0.60 | 2019 |
133 | Brunei | 0.58 | 2019 |
134 | Uruguay | 0.52 | 2019 |
135 | Belgium | 0.50 | 2019 |
136 | Lithuania | 0.46 | 2019 |
137 | Ireland | 0.44 | 2019 |
137 | Bahrain | 0.44 | 2019 |
139 | Finland | 0.42 | 2019 |
140 | Bulgaria | 0.39 | 2019 |
141 | Argentina | 0.37 | 2019 |
141 | Russia | 0.37 | 2019 |
143 | United Kingdom | 0.36 | 2019 |
144 | Spain | 0.33 | 2019 |
145 | Portugal | 0.32 | 2019 |
146 | Denmark | 0.30 | 2019 |
147 | Singapore | 0.29 | 2019 |
147 | South Africa | 0.29 | 2019 |
149 | The Bahamas | 0.27 | 2019 |
150 | Iceland | 0.26 | 2019 |
151 | United Arab Emirates | 0.25 | 2019 |
152 | Ukraine | 0.23 | 2019 |
153 | Sweden | 0.22 | 2019 |
154 | Czech Republic | 0.20 | 2019 |
154 | New Caledonia | 0.20 | 2019 |
156 | Oman | 0.19 | 2019 |
157 | Netherlands | 0.18 | 2019 |
157 | Germany | 0.18 | 2019 |
157 | Trinidad and Tobago | 0.18 | 2019 |
160 | Australia | 0.17 | 2019 |
161 | Hungary | 0.15 | 2019 |
161 | St. Lucia | 0.15 | 2019 |
163 | France | 0.14 | 2019 |
163 | Estonia | 0.14 | 2019 |
165 | Kazakhstan | 0.11 | 2019 |
166 | Norway | 0.10 | 2019 |
167 | Slovak Republic | 0.09 | 2019 |
167 | Canada | 0.09 | 2019 |
169 | Hong Kong SAR, China | 0.08 | 2019 |
169 | Jordan | 0.08 | 2019 |
171 | Malta | 0.07 | 2019 |
172 | United States | 0.04 | 2019 |
173 | Puerto Rico | 0.03 | 2019 |
173 | Saudi Arabia | 0.03 | 2019 |
173 | Macao SAR, China | 0.03 | 2019 |
173 | Belarus | 0.03 | 2019 |
173 | Israel | 0.03 | 2019 |
173 | Barbados | 0.03 | 2019 |
179 | Kuwait | 0.02 | 2019 |
180 | Qatar | 0.01 | 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