Coverage of social insurance programs in 4th 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 66.10 2004
2 Slovak Republic 59.99 2009
3 Hungary 59.13 2007
4 Russia 56.03 2017
5 Croatia 55.02 2014
6 Belarus 53.91 2019
7 Armenia 53.67 2018
8 Serbia 53.04 2015
9 Ghana 50.77 2016
10 Romania 49.91 2016
11 Chile 49.58 2017
12 Montenegro 48.50 2014
13 Ukraine 47.24 2018
14 Moldova 47.23 2018
15 Azerbaijan 46.84 2015
16 Poland 46.63 2015
17 Bulgaria 46.09 2007
18 Latvia 45.28 2009
19 Mongolia 44.65 2016
20 Turkey 44.26 2019
21 Lithuania 42.71 2008
22 Bosnia and Herzegovina 40.91 2015
23 Uruguay 40.44 2019
24 Argentina 39.67 2019
25 Brazil 39.31 2019
26 China 38.78 2013
27 Kyrgyz Republic 38.71 2013
28 Albania 36.51 2012
29 Tajikistan 34.26 2011
30 Palau 33.25 2006
31 Kazakhstan 31.78 2017
32 Jordan 31.60 2010
33 Samoa 31.44 2008
34 Panama 30.09 2019
35 Belize 29.31 2009
36 Iraq 28.05 2012
37 Costa Rica 23.59 2019
38 Egypt 23.40 2008
39 Mauritius 20.94 2017
40 Uzbekistan 20.68 2018
41 Vietnam 20.35 2014
42 Nicaragua 18.66 2014
43 Mexico 17.49 2018
44 Colombia 15.89 2019
45 Gabon 15.23 2005
46 Ecuador 15.08 2019
47 India 14.91 2011
48 Peru 14.53 2019
49 Dominica 13.79 2002
50 Indonesia 13.37 2019
51 Venezuela 12.57 2006
52 Bolivia 12.04 2019
53 Senegal 11.53 2011
54 Fiji 11.38 2013
55 Philippines 11.15 2015
56 Malaysia 10.54 2016
57 Yemen 10.48 2005
58 Congo 10.33 2005
59 Sri Lanka 10.24 2016
60 Eswatini 9.25 2016
61 Syrian Arab Republic 8.98 2003
62 Mauritania 8.82 2008
63 Pakistan 8.61 2018
64 Djibouti 8.47 2012
65 Côte d'Ivoire 8.46 2015
66 Rwanda 8.04 2013
67 Cabo Verde 7.85 2007
68 El Salvador 7.82 2019
69 Dominican Republic 7.76 2019
70 Jamaica 7.19 2017
71 Benin 7.19 2003
72 Paraguay 7.15 2019
73 Myanmar 6.63 2017
74 Nepal 6.43 2010
75 Botswana 5.25 2015
76 Cameroon 4.85 2014
77 Guatemala 4.84 2014
78 Zimbabwe 4.67 2019
79 Nigeria 4.67 2018
80 Thailand 4.53 2017
81 Mozambique 4.44 2014
82 Angola 4.28 2018
83 Burkina Faso 4.23 2018
84 Namibia 4.23 2015
85 South Africa 3.68 2014
86 Chad 3.35 2011
87 Togo 3.35 2011
88 Guinea 3.22 2012
89 Honduras 3.06 2017
90 Lao PDR 2.91 2018
91 Tonga 2.72 2009
92 Cambodia 2.61 2013
93 Lesotho 2.01 2017
94 The Gambia 1.65 2015
95 Zambia 1.65 2015
96 Tanzania 1.61 2014
97 Niger 1.60 2014
98 Dem. Rep. Congo 1.59 2012
99 Comoros 1.55 2004
100 Kenya 1.48 2015
101 Ethiopia 1.43 2018
102 Bhutan 1.42 2017
103 Mali 1.35 2009
104 Sierra Leone 1.18 2018
105 Bangladesh 0.95 2016
106 Papua New Guinea 0.93 2009
107 Solomon Islands 0.76 2005
108 Malawi 0.75 2016
109 Liberia 0.65 2016
110 Afghanistan 0.58 2007
111 Haiti 0.45 2012
112 Uganda 0.36 2016
113 Timor-Leste 0.12 2011

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

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