Vulnerable employment, female (% of female employment) (modeled ILO estimate) - Country Ranking - Africa

Definition: Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.

Source: Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in September 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Chad 98.77 2019
2 Niger 97.98 2019
3 Guinea 96.94 2019
4 Central African Republic 96.46 2019
4 Somalia 96.46 2019
6 Benin 93.12 2019
7 Sierra Leone 92.95 2019
8 Mozambique 91.66 2019
9 Liberia 90.72 2019
10 Congo 90.70 2019
11 Burundi 89.79 2019
12 Burkina Faso 88.38 2019
13 Dem. Rep. Congo 88.25 2019
14 Togo 87.50 2019
15 Madagascar 87.19 2019
16 Mali 86.94 2019
17 Ethiopia 86.45 2019
18 Tanzania 85.60 2019
19 Nigeria 85.21 2019
20 Eritrea 85.00 2019
21 Angola 84.68 2019
22 Zambia 81.97 2019
23 The Gambia 81.26 2019
24 Cameroon 80.83 2019
25 Côte d'Ivoire 80.35 2019
26 Guinea-Bissau 80.32 2019
27 Uganda 79.80 2019
28 Equatorial Guinea 79.61 2019
29 Zimbabwe 79.30 2019
30 Ghana 76.69 2019
31 Rwanda 76.28 2019
32 Mauritania 75.67 2019
33 Senegal 69.79 2019
34 Comoros 68.29 2019
35 Malawi 68.13 2019
36 Sudan 61.86 2019
37 Kenya 57.13 2019
38 São Tomé and Principe 56.44 2019
39 Morocco 56.29 2019
40 Lesotho 55.59 2019
41 Djibouti 41.37 2019
42 Eswatini 39.57 2019
43 Namibia 38.57 2019
44 Gabon 34.95 2019
45 Libya 33.68 2019
46 Cabo Verde 31.96 2019
47 Egypt 27.73 2019
48 Botswana 23.63 2019
49 Algeria 23.46 2019
50 Mauritius 12.10 2019
51 Tunisia 11.47 2019
52 South Africa 10.59 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. Data are derived using ILO modeled estimate series which are 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