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

Definition: Benefit incidence of social safety net programs to poorest quintile shows the percentage of total social safety net benefits received by the poorest 20% of the population. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). 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 Vietnam 63.80 2014
2 Peru 60.74 2014
3 Djibouti 53.82 2012
4 Argentina 46.38 2013
5 Turkey 43.92 2016
6 Montenegro 43.12 2014
7 Jamaica 41.68 2010
8 Croatia 41.22 2010
9 Poland 39.53 2012
10 Slovak Republic 38.40 2009
11 Ecuador 35.73 2016
12 Indonesia 35.49 2015
13 Uruguay 35.18 2008
14 Kyrgyz Republic 35.02 2013
15 Serbia 34.50 2015
16 Hungary 34.21 2007
17 Colombia 33.05 2014
18 Armenia 32.35 2014
19 Brazil 31.58 2015
20 Costa Rica 31.10 2014
21 Guatemala 30.47 2011
22 Sri Lanka 29.96 2012
23 Moldova 28.91 2013
24 Mexico 28.42 2014
25 Philippines 28.39 2015
26 El Salvador 28.20 2014
27 Bulgaria 28.14 2007
28 Chile 27.80 2015
29 Albania 27.65 2012
30 Belarus 27.14 2016
31 South Africa 25.50 2014
32 Paraguay 25.38 2014
33 Palau 25.16 2006
34 Lithuania 24.78 2008
35 Ukraine 24.77 2015
36 Bolivia 24.63 2014
37 Thailand 24.37 2013
38 China 24.24 2013
39 Romania 24.05 2012
40 Panama 23.19 2014
41 Yemen 22.94 2005
42 India 22.91 2011
43 Jordan 22.70 2010
44 Dominican Republic 22.54 2014
45 Honduras 21.77 2013
46 Bangladesh 21.63 2010
47 Kazakhstan 21.51 2015
48 Liberia 21.46 2016
49 Latvia 21.13 2009
50 Malaysia 20.79 2008
51 Georgia 20.41 2011
52 Kenya 20.05 2015
53 Tunisia 19.76 2010
54 Congo 19.68 2005
55 Belize 18.73 2009
56 Mongolia 18.14 2012
57 Sudan 17.98 2009
58 Tanzania 17.94 2014
59 Malawi 17.89 2016
60 Egypt 17.58 2008
61 Azerbaijan 17.38 2015
62 Nicaragua 17.05 2009
63 Bosnia and Herzegovina 16.50 2015
64 Mauritius 16.49 2012
65 Pakistan 16.13 2013
66 Nepal 15.73 2010
67 Bhutan 15.29 2007
68 Cabo Verde 14.80 2007
69 Timor-Leste 13.87 2011
70 Fiji 13.69 2008
71 Rwanda 13.68 2013
72 Eswatini 13.65 2009
73 Niger 13.31 2014
74 Botswana 12.82 2009
75 Russia 12.67 2016
76 Iraq 12.40 2012
77 Kiribati 8.85 2006
78 Zimbabwe 8.09 2011
79 Papua New Guinea 7.70 2009
80 Tajikistan 7.56 2011
81 Mauritania 7.24 2008
82 Afghanistan 6.75 2007
83 Ghana 6.01 2005
84 Haiti 5.76 2001
85 Nigeria 5.65 2015
86 Gabon 4.71 2005
87 Solomon Islands 3.96 2005
88 Dem. Rep. Congo 3.50 2012
89 Senegal 3.22 2011
90 Dominica 2.44 2002
91 The Gambia 2.05 1998
92 Burkina Faso 1.87 2014
93 Uganda 1.52 2012
94 Chad 1.38 2011
95 Côte d'Ivoire 1.20 2015
96 Cameroon 0.00 2014

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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