Adequacy of social insurance programs (% of total welfare of beneficiary households) - Country Ranking

Definition: Adequacy of social insurance programs is measured by the total transfer amount received by the population participating in social insurance programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social insurance programs include 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 Syrian Arab Republic 811.55 2003
2 Lao PDR 133.03 2018
3 Ghana 96.41 2012
4 Thailand 86.52 2017
5 Romania 79.53 2016
6 Poland 78.68 2015
7 Belarus 64.62 2019
8 Congo 62.89 2005
9 Hungary 61.24 2007
10 Lesotho 60.55 2017
11 Serbia 57.15 2015
12 China 55.35 2013
13 Angola 54.71 2018
14 Montenegro 53.66 2014
15 Moldova 53.48 2018
16 Lithuania 51.43 2008
17 Uruguay 50.00 2019
18 Turkey 49.59 2019
19 Côte d'Ivoire 49.55 2015
20 Myanmar 48.19 2017
21 Latvia 47.82 2009
22 Croatia 47.22 2014
23 Slovak Republic 46.41 2009
24 Kyrgyz Republic 44.37 2013
25 Brazil 44.29 2019
26 South Africa 44.21 2014
27 Argentina 43.81 2019
28 Colombia 42.12 2019
29 Ukraine 42.11 2018
30 Cabo Verde 40.62 2007
31 Mongolia 40.16 2016
32 Costa Rica 39.57 2019
33 Benin 39.49 2003
34 Egypt 39.25 2008
35 Kazakhstan 39.11 2017
36 Bolivia 39.01 2019
37 Pakistan 39.00 2018
38 Jamaica 38.04 2017
39 Dominican Republic 37.67 2019
40 Armenia 36.58 2018
41 Bulgaria 36.38 2007
42 Paraguay 35.47 2019
43 Mexico 35.36 2018
44 Djibouti 34.85 2012
45 Mauritania 34.80 2008
46 Sri Lanka 34.76 2016
47 Haiti 34.60 2012
48 Ecuador 34.55 2019
49 Bosnia and Herzegovina 34.08 2015
50 Mauritius 33.46 2017
51 Albania 33.23 2012
52 Jordan 33.11 2010
53 Timor-Leste 32.78 2011
54 Eswatini 32.10 2016
55 Malaysia 31.52 2016
56 El Salvador 31.18 2019
57 Uzbekistan 29.33 2018
58 Tonga 29.12 2009
59 Dominica 28.96 2002
60 Vietnam 28.94 2014
61 Honduras 28.74 2017
62 Togo 28.50 2011
63 Palau 27.98 2006
64 Russia 27.80 2017
65 Bhutan 27.64 2012
66 Dem. Rep. Congo 27.29 2012
67 Nigeria 27.03 2018
68 Chad 26.89 2011
69 Mozambique 26.85 2014
70 Botswana 26.76 2015
71 Chile 26.49 2017
72 Panama 26.24 2019
73 Belize 25.12 2009
74 Uganda 24.61 2016
75 Peru 23.27 2019
76 Malawi 22.48 2016
77 Guatemala 22.32 2014
78 Bangladesh 21.82 2016
79 Fiji 21.03 2013
80 Burkina Faso 20.16 2018
81 Gabon 20.14 2005
82 Iraq 19.64 2012
83 Samoa 18.65 2008
84 Nepal 18.25 2010
85 Tanzania 17.15 2014
86 Nicaragua 17.14 2014
87 Zimbabwe 15.86 2019
88 Afghanistan 15.70 2007
89 Mali 15.51 2009
90 Solomon Islands 14.57 2005
91 Yemen 13.74 2005
92 Senegal 13.30 2011
93 Comoros 13.23 2004
94 Niger 13.10 2014
95 Ethiopia 12.70 2018
96 Cambodia 12.54 2013
97 The Gambia 12.18 2015
98 Liberia 11.81 2016
99 Namibia 10.42 2015
100 Guinea 10.27 2012
101 Philippines 9.75 2015
102 Tajikistan 8.00 2011
103 Kenya 5.65 2015
104 Sierra Leone 5.18 2018
105 India 4.54 2011
106 Rwanda 4.24 2013
107 Zambia 3.40 2015
108 Cameroon 3.29 2014
109 Papua New Guinea 1.43 2009
110 Azerbaijan 0.24 2015

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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