Contributing family workers, female (% of female employment) (modeled ILO estimate) - Country Ranking - Africa

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

Find indicator:
Rank Country Value Year
1 Madagascar 52.13 2019
2 Burkina Faso 50.71 2019
3 Ethiopia 49.15 2019
4 Niger 46.87 2019
5 Central African Republic 45.95 2019
6 Tanzania 44.25 2019
7 Rwanda 40.33 2019
8 Somalia 39.16 2019
9 Zambia 35.73 2019
10 Morocco 34.84 2019
11 Burundi 34.01 2019
12 Chad 32.26 2019
13 Eritrea 29.90 2019
14 Guinea 29.64 2019
15 Mali 26.29 2019
16 Dem. Rep. Congo 26.21 2019
17 Senegal 25.65 2019
18 Guinea-Bissau 24.90 2019
19 Mozambique 22.20 2019
20 Egypt 19.74 2019
21 Sudan 19.01 2019
22 Benin 16.36 2019
23 Uganda 15.84 2019
24 Cameroon 15.09 2019
25 Côte d'Ivoire 13.52 2019
26 Zimbabwe 12.98 2019
27 Angola 11.95 2019
28 Mauritania 11.52 2019
29 Ghana 10.50 2019
30 The Gambia 10.44 2019
31 Liberia 8.87 2019
32 Sierra Leone 8.49 2019
33 Togo 8.32 2019
34 Malawi 7.37 2019
35 Nigeria 7.05 2019
36 Kenya 7.00 2019
37 Lesotho 6.87 2019
38 São Tomé and Principe 6.53 2019
39 Namibia 5.19 2019
40 Comoros 4.38 2019
41 Mauritius 3.33 2019
42 Congo 2.91 2019
43 Djibouti 2.86 2019
44 Tunisia 2.76 2019
45 Botswana 2.63 2019
46 Libya 2.39 2019
47 Algeria 2.31 2019
48 Eswatini 2.21 2019
49 Cabo Verde 1.81 2019
50 Gabon 1.47 2019
51 Equatorial Guinea 1.32 2019
52 South Africa 0.89 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