Coverage of social insurance programs in 3rd 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 Hungary 63.68 2007
2 Russia 60.84 2017
3 Slovak Republic 59.44 2009
4 Lebanon 55.32 2004
5 Armenia 54.24 2018
6 Bulgaria 52.89 2007
7 Serbia 52.87 2015
8 Ukraine 51.70 2018
9 Chile 50.71 2017
10 Croatia 50.47 2014
11 Moldova 50.45 2018
12 Latvia 49.93 2009
13 Azerbaijan 49.58 2015
14 Belarus 48.80 2019
15 Romania 48.17 2016
16 Lithuania 47.11 2008
17 Ghana 46.05 2016
18 Poland 45.64 2015
19 Mongolia 44.44 2016
20 Montenegro 44.14 2014
21 Turkey 41.59 2019
22 Bosnia and Herzegovina 41.49 2015
23 Uruguay 39.82 2019
24 Kyrgyz Republic 39.36 2013
25 Samoa 38.22 2008
26 Argentina 35.81 2019
27 Albania 34.30 2012
28 Brazil 34.23 2019
29 Palau 34.11 2006
30 Tajikistan 33.85 2011
31 China 32.91 2013
32 Kazakhstan 29.58 2017
33 Belize 27.01 2009
34 Jordan 26.08 2010
35 Iraq 25.90 2012
36 Panama 23.67 2019
37 Uzbekistan 19.71 2018
38 Mauritius 19.48 2017
39 Costa Rica 19.10 2019
40 Egypt 18.70 2008
41 India 18.58 2011
42 Dominica 15.03 2002
43 Mexico 14.14 2018
44 Gabon 13.82 2005
45 Nicaragua 13.52 2014
46 Vietnam 12.33 2014
47 Rwanda 10.90 2013
48 Djibouti 10.47 2012
49 Congo 10.26 2005
50 Ecuador 10.13 2019
51 Malaysia 9.82 2016
52 Yemen 8.80 2005
53 Indonesia 8.70 2019
54 Mauritania 8.44 2008
55 Peru 8.41 2019
56 Venezuela 8.24 2006
57 Syrian Arab Republic 7.94 2003
58 Philippines 7.44 2015
59 Colombia 7.26 2019
60 Côte d'Ivoire 7.24 2015
61 Fiji 7.02 2013
62 Benin 6.62 2003
63 Sri Lanka 6.51 2016
64 Senegal 6.18 2011
65 El Salvador 6.02 2019
66 Bolivia 5.87 2019
67 Cabo Verde 5.84 2007
68 Pakistan 5.51 2018
69 Eswatini 5.33 2016
70 Jamaica 4.95 2017
71 Dominican Republic 4.87 2019
72 Nepal 4.37 2010
73 Myanmar 4.30 2017
74 Mozambique 3.91 2014
75 Paraguay 3.71 2019
76 Cameroon 3.44 2014
77 Angola 3.19 2018
78 Botswana 3.19 2015
79 Namibia 3.00 2015
80 Comoros 2.68 2004
81 Chad 2.51 2011
82 Nigeria 2.45 2018
83 Guatemala 2.15 2014
84 Thailand 2.07 2017
85 Zimbabwe 2.04 2019
86 Cambodia 1.94 2013
87 Guinea 1.85 2012
88 Togo 1.77 2011
89 Lao PDR 1.71 2018
90 South Africa 1.60 2014
91 Honduras 1.46 2017
92 Mali 1.42 2009
93 Dem. Rep. Congo 1.29 2012
94 Niger 1.28 2014
95 Burkina Faso 1.08 2018
96 Ethiopia 1.05 2018
97 Tanzania 0.94 2014
98 Bhutan 0.85 2017
99 Kenya 0.74 2015
100 Bangladesh 0.62 2016
101 The Gambia 0.59 2015
102 Solomon Islands 0.58 2005
103 Tonga 0.58 2009
104 Timor-Leste 0.57 2011
105 Sierra Leone 0.57 2018
106 Zambia 0.55 2015
107 Malawi 0.49 2016
108 Lesotho 0.48 2017
109 Uganda 0.47 2016
110 Papua New Guinea 0.43 2009
111 Afghanistan 0.26 2007
112 Liberia 0.13 2016
113 Haiti 0.00 2012

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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