Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) - Country Ranking

Definition: Benefit incidence of social insurance programs to poorest quintile shows the percentage of total social insurance benefits received by the poorest 20% of the population. 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 India 21.24 2011
2 Lithuania 19.33 2008
3 Belize 18.95 2009
4 Tajikistan 17.76 2011
5 Liberia 17.28 2016
6 Azerbaijan 15.92 2015
7 Armenia 15.91 2014
8 Bulgaria 15.46 2007
9 Kyrgyz Republic 14.86 2013
10 Latvia 14.38 2009
11 Moldova 14.24 2013
12 Ukraine 12.35 2015
13 Albania 12.23 2012
14 Mongolia 11.85 2012
15 Serbia 11.68 2015
16 Bosnia and Herzegovina 11.08 2015
17 Samoa 11.02 2008
18 Croatia 10.98 2010
19 Hungary 10.76 2007
20 Rwanda 10.52 2013
21 Belarus 10.17 2016
22 Jordan 9.96 2010
23 Mauritania 9.93 2008
24 Montenegro 9.10 2014
25 Gabon 8.64 2005
26 Russia 8.49 2016
27 Poland 8.44 2012
28 Kazakhstan 8.39 2015
29 Yemen 8.08 2005
30 Iraq 8.02 2012
31 Palau 7.13 2006
32 Romania 6.83 2012
33 Côte d'Ivoire 6.78 2015
34 Fiji 6.73 2008
35 Slovak Republic 6.24 2009
36 Egypt 5.69 2008
37 Mozambique 5.29 2008
38 Turkey 4.93 2016
39 Timor-Leste 4.87 2011
40 Djibouti 4.48 2012
41 Mauritius 4.46 2012
42 Papua New Guinea 4.21 2009
43 Guinea 4.10 2012
44 Solomon Islands 4.09 2005
45 Argentina 3.86 2013
46 Malaysia 3.69 2008
47 Afghanistan 3.66 2007
48 Congo 3.64 2005
49 The Gambia 3.35 2010
50 Cabo Verde 3.32 2007
51 Jamaica 3.11 2010
52 Dem. Rep. Congo 3.06 2012
53 Uruguay 2.98 2012
54 Dominican Republic 2.70 2014
55 Nicaragua 2.47 2014
56 Benin 2.47 2003
57 Chile 2.38 2015
58 Lao PDR 2.30 2007
59 China 2.16 2013
60 Kenya 2.15 2015
61 Pakistan 2.12 2013
62 Nigeria 1.98 2015
63 Sri Lanka 1.98 2012
64 Tanzania 1.88 2014
65 Ecuador 1.81 2016
66 Brazil 1.80 2015
67 Costa Rica 1.64 2014
68 Vietnam 1.62 2014
69 Chad 1.60 2011
70 Dominica 1.56 2002
71 Syrian Arab Republic 1.51 2003
72 Burkina Faso 1.44 2014
73 Bhutan 1.31 2012
74 Panama 1.25 2014
75 Philippines 1.06 2015
76 Mexico 1.06 2014
77 Zimbabwe 1.05 2011
78 Guatemala 0.99 2014
79 Cameroon 0.90 2014
80 South Africa 0.73 2014
81 El Salvador 0.71 2014
82 Ghana 0.68 2012
83 Malawi 0.67 2016
84 Peru 0.61 2014
85 Comoros 0.54 2004
86 Nepal 0.46 2010
87 Uganda 0.46 2012
88 Honduras 0.44 2013
89 Paraguay 0.42 2014
90 Mali 0.40 2009
91 Bangladesh 0.37 2010
92 Thailand 0.37 2013
93 Zambia 0.29 2010
94 Bolivia 0.24 2014
95 Senegal 0.23 2011
96 Colombia 0.21 2014
97 Cambodia 0.10 2013
98 Niger 0.01 2014
99 Haiti 0.00 2012
99 Tonga 0.00 2009
99 Togo 0.00 2011

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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