Coverage of social insurance programs in richest quintile (% of population) - Country Ranking

Definition: Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). 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 Lebanon 79.74 2004
2 Hungary 54.35 2007
3 Croatia 53.92 2014
4 Montenegro 48.75 2014
5 Russia 47.52 2017
6 Belarus 47.38 2019
7 Azerbaijan 46.09 2015
8 Ukraine 45.23 2018
9 Armenia 44.35 2018
10 Ghana 43.06 2016
11 Brazil 43.02 2019
12 Argentina 42.87 2019
13 Poland 42.72 2015
14 Serbia 42.65 2015
15 Slovak Republic 41.65 2009
16 Turkey 41.32 2019
17 China 40.79 2013
18 Romania 40.33 2016
19 Uruguay 40.12 2019
20 Chile 38.77 2017
21 Mongolia 38.66 2016
22 Moldova 38.45 2018
23 Bosnia and Herzegovina 38.32 2015
24 Bulgaria 37.99 2007
25 Kyrgyz Republic 37.42 2013
26 Kazakhstan 37.15 2017
27 Palau 35.63 2006
28 Lithuania 34.97 2008
29 Latvia 34.86 2009
30 Albania 34.62 2012
31 Vietnam 33.42 2014
32 Samoa 33.36 2008
33 Jordan 32.62 2010
34 Egypt 32.51 2008
35 Iraq 32.17 2012
36 Panama 31.87 2019
37 Tajikistan 29.13 2011
38 Costa Rica 28.63 2019
39 Ecuador 28.37 2019
40 Colombia 27.58 2019
41 Mauritius 27.53 2017
42 Belize 24.99 2009
43 Nicaragua 23.71 2014
44 Indonesia 23.70 2019
45 Mexico 23.68 2018
46 Uzbekistan 22.88 2018
47 Peru 22.03 2019
48 Venezuela 20.48 2006
49 Bolivia 19.91 2019
50 Senegal 19.08 2011
51 Philippines 17.90 2015
52 Sri Lanka 16.15 2016
53 Jamaica 15.59 2017
54 Paraguay 15.46 2019
55 Fiji 15.07 2013
56 El Salvador 14.88 2019
57 Syrian Arab Republic 13.61 2003
58 Dominican Republic 13.07 2019
59 Yemen 12.57 2005
60 Pakistan 12.31 2018
61 Benin 12.19 2003
62 Nepal 12.18 2010
63 Gabon 12.08 2005
64 Côte d'Ivoire 12.05 2015
65 Honduras 11.43 2017
66 Dominica 11.06 2002
67 Congo 10.34 2005
68 Guatemala 10.31 2014
69 Myanmar 10.14 2017
70 Thailand 9.80 2017
71 Malaysia 9.67 2016
72 Djibouti 9.59 2012
73 Zimbabwe 9.56 2019
74 India 9.38 2011
75 Togo 9.15 2011
76 South Africa 8.61 2014
77 Mauritania 8.33 2008
78 Angola 7.82 2018
79 Mozambique 7.48 2014
80 Burkina Faso 7.35 2018
81 Botswana 7.24 2015
82 Cabo Verde 7.13 2007
83 Eswatini 6.55 2016
84 Nigeria 6.34 2018
85 Rwanda 5.99 2013
86 Cameroon 5.84 2014
87 Namibia 5.67 2015
88 Guinea 4.92 2012
89 Lao PDR 4.38 2018
90 Niger 3.97 2014
91 Chad 3.96 2011
92 Dem. Rep. Congo 3.86 2012
93 Tanzania 3.50 2014
94 Solomon Islands 3.46 2005
95 Ethiopia 3.39 2018
96 Timor-Leste 3.34 2011
97 Cambodia 3.24 2013
98 Comoros 3.17 2004
99 Kenya 2.76 2015
100 Lesotho 2.70 2017
101 The Gambia 2.45 2015
102 Mali 2.42 2009
103 Sierra Leone 2.39 2018
104 Tonga 2.38 2009
105 Papua New Guinea 2.24 2009
106 Bangladesh 2.23 2016
107 Zambia 1.87 2015
108 Uganda 1.81 2016
109 Malawi 1.40 2016
110 Afghanistan 1.40 2007
111 Bhutan 1.31 2017
112 Haiti 1.26 2012
113 Liberia 0.90 2016

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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