Coverage of social protection and labor programs (% of population) - Country Ranking

Definition: Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries.

Source: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 India 93.99 2011
2 Mongolia 93.90 2016
3 Chile 92.29 2017
4 Hungary 89.44 2007
5 Slovak Republic 88.62 2009
6 El Salvador 85.50 2019
7 Iraq 83.56 2012
8 Lithuania 81.91 2008
9 Romania 81.44 2016
10 Eswatini 81.20 2016
11 Latvia 80.30 2009
12 South Africa 79.87 2014
13 Bolivia 77.99 2019
14 Russia 77.52 2017
15 Malaysia 76.73 2016
16 Panama 76.61 2019
17 Uruguay 76.46 2019
18 Bulgaria 73.61 2007
19 Costa Rica 73.57 2019
20 Jordan 73.19 2010
21 Thailand 71.88 2018
22 Belarus 71.87 2019
23 Lesotho 71.67 2017
24 Croatia 71.06 2014
25 Ukraine 69.31 2018
26 Paraguay 69.09 2019
27 Nicaragua 68.15 2014
28 Armenia 67.02 2018
29 Peru 66.87 2019
30 Azerbaijan 64.64 2015
31 Georgia 63.55 2018
32 Guatemala 63.27 2014
33 China 63.05 2013
34 Poland 61.08 2015
35 Serbia 61.04 2015
36 Moldova 60.11 2018
37 Kyrgyz Republic 57.86 2013
38 Burkina Faso 56.98 2018
39 Ghana 56.56 2016
40 Montenegro 56.44 2014
41 Egypt 55.45 2008
42 Botswana 55.44 2015
43 Albania 54.89 2012
44 Lebanon 54.56 2004
45 Jamaica 52.77 2017
46 Mauritius 51.52 2017
47 Argentina 51.32 2019
48 Bosnia and Herzegovina 50.35 2015
49 Brazil 50.31 2019
50 Dominican Republic 49.56 2019
51 Turkey 49.34 2019
52 Kazakhstan 49.21 2017
53 Gabon 48.38 2017
54 Mauritania 45.22 2014
55 Indonesia 44.58 2019
56 Namibia 43.73 2015
57 Honduras 43.54 2017
58 Nepal 43.49 2010
59 Malawi 41.52 2016
60 Morocco 41.01 2009
61 Bangladesh 40.99 2016
62 Philippines 40.62 2015
63 Belize 39.39 2009
64 Tajikistan 39.29 2011
65 Mexico 38.45 2018
66 Palau 37.43 2006
67 Fiji 37.11 2013
68 Zimbabwe 36.74 2019
69 Timor-Leste 35.33 2011
70 Sri Lanka 35.14 2016
71 Vietnam 34.86 2014
72 Samoa 33.64 2008
73 Ecuador 33.56 2019
74 Côte d'Ivoire 32.86 2015
75 Colombia 31.42 2019
76 Cabo Verde 29.68 2007
77 Rwanda 28.40 2013
78 Kenya 27.40 2015
79 Uzbekistan 25.16 2018
80 Pakistan 21.86 2018
81 Ethiopia 21.66 2018
82 Angola 21.58 2018
83 Niger 21.38 2014
84 Yemen 21.26 2005
85 Djibouti 20.94 2012
86 Dominica 20.84 2002
87 Nigeria 20.48 2018
88 Haiti 19.46 2012
89 Sierra Leone 17.02 2018
90 Senegal 16.79 2011
91 Venezuela 14.52 2006
92 Tunisia 14.43 2010
93 Liberia 14.25 2016
94 Myanmar 13.78 2017
95 Tanzania 12.88 2014
96 Dem. Rep. Congo 11.06 2012
97 Congo 8.91 2005
98 Afghanistan 8.82 2011
99 Syrian Arab Republic 8.19 2003
100 Sudan 7.45 2009
101 Benin 6.63 2003
102 Mozambique 6.31 2014
103 Madagascar 5.70 2010
104 Cameroon 5.01 2014
105 Kiribati 4.57 2006
106 Papua New Guinea 4.24 2009
107 Guinea 3.89 2012
108 Cambodia 3.09 2013
109 Togo 3.01 2011
110 Chad 2.97 2011
111 The Gambia 2.95 2015
112 Zambia 2.31 2015
113 Lao PDR 2.16 2018
114 Comoros 1.98 2004
115 Solomon Islands 1.58 2005
116 Mali 1.31 2009
117 Tonga 1.29 2009
118 Uganda 1.19 2016
119 Bhutan 0.89 2017

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Limitations and Exceptions: When interpreting ASPIRE performance indicators based on household surveys, it is important to note that the extent to which information on specific transfers and programs is captured in the household surveys can vary a lot across countries. Moreover, household surveys do not capture the universe of social protection programs in the country, in best practice cases just the largest programs. As a consequence, ASPIRE indicators are not fully comparable across program categories and countries; however, they provide approximate measures of social protection systems performance. In addition, there may be cases where ASPIRE performance indicators differ from official WB country reports as ASPIRE indicators are based on a first level analysis of original survey data and unified methodology that does not necessarily reflect country-specific knowledge and in depth country analysis relying on administrative program level data and/or imputations.

Aggregation method: Simple average

Periodicity: Annual