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

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 Afghanistan 89.47 2019
2 Nepal 87.47 2019
3 Dem. People's Rep. Korea 85.76 2019
4 Bhutan 83.20 2019
5 Lao PDR 81.28 2019
6 Timor-Leste 79.15 2019
7 India 75.28 2019
8 Pakistan 70.17 2019
9 Bangladesh 65.38 2019
10 Myanmar 63.74 2019
11 Azerbaijan 62.30 2019
12 Yemen 60.65 2019
13 Vietnam 57.76 2019
14 Indonesia 57.08 2019
15 Cambodia 53.17 2019
16 Thailand 48.84 2019
17 Georgia 45.18 2019
18 China 44.76 2019
19 Mongolia 44.64 2019
20 Iran 42.48 2019
21 Sri Lanka 40.16 2019
22 Philippines 37.41 2019
23 Uzbekistan 34.09 2019
24 Turkmenistan 33.07 2019
25 Tajikistan 31.99 2019
26 Turkey 31.83 2019
27 Armenia 29.20 2019
28 Malaysia 27.10 2019
29 Kyrgyz Republic 24.53 2019
30 Kazakhstan 21.32 2019
31 Korea 18.57 2019
32 Lebanon 13.84 2019
33 Brunei 8.62 2019
34 Japan 7.70 2019
35 Israel 7.64 2019
36 Syrian Arab Republic 7.28 2019
37 Singapore 6.15 2019
38 Russia 5.63 2019
39 Hong Kong SAR, China 4.05 2019
40 United Arab Emirates 3.99 2019
41 Oman 3.80 2019
42 Iraq 3.50 2019
43 Macao SAR, China 2.15 2019
44 Jordan 1.58 2019
45 Saudi Arabia 1.11 2019
46 Bahrain 0.79 2019
47 Qatar 0.09 2019
48 Kuwait 0.04 2019

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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