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 Ghana 57.59 2016
3 Djibouti 53.82 2012
4 Peru 50.44 2019
5 Zimbabwe 49.34 2019
6 Argentina 48.61 2019
7 Montenegro 43.12 2014
8 Croatia 38.98 2014
9 Slovak Republic 38.40 2009
10 Poland 38.05 2015
11 Turkey 37.45 2019
12 Uruguay 36.21 2019
13 Armenia 35.93 2018
14 Colombia 35.49 2019
15 Kyrgyz Republic 35.02 2013
16 Serbia 34.50 2015
17 Hungary 34.21 2007
18 Pakistan 33.44 2018
19 Myanmar 33.42 2017
20 Sri Lanka 32.59 2016
21 Romania 32.26 2016
22 Costa Rica 31.74 2019
23 Jamaica 31.73 2017
24 Brazil 31.49 2019
25 Guatemala 30.47 2011
26 Moldova 30.23 2018
27 Uzbekistan 29.71 2018
28 Indonesia 28.87 2019
29 Philippines 28.39 2015
30 El Salvador 28.20 2014
31 Bulgaria 28.14 2007
32 Belarus 28.13 2019
33 Ukraine 28.11 2018
34 Mexico 28.03 2018
35 Honduras 27.87 2017
36 Ecuador 27.81 2019
37 Paraguay 27.71 2019
38 Albania 27.65 2012
39 Thailand 26.50 2017
40 South Africa 25.53 2014
41 Palau 25.16 2006
42 Panama 25.11 2019
43 Bolivia 25.09 2017
44 Lithuania 24.78 2008
45 Malaysia 24.60 2016
46 Bangladesh 24.29 2016
47 China 24.24 2013
48 Mongolia 23.79 2016
49 Lesotho 23.32 2017
50 Eswatini 23.00 2016
51 Yemen 22.94 2005
52 India 22.91 2011
53 Jordan 22.70 2010
54 Liberia 22.54 2016
55 Nigeria 21.42 2018
56 Latvia 21.13 2009
57 Georgia 20.05 2018
58 Kenya 20.05 2015
59 Tunisia 19.76 2010
60 Congo 19.68 2005
61 Kazakhstan 19.38 2017
62 Sierra Leone 19.18 2018
63 Dominican Republic 19.01 2019
64 Belize 18.73 2009
65 Chile 18.54 2017
66 Sudan 17.98 2009
67 Tanzania 17.94 2014
68 Malawi 17.89 2016
69 Egypt 17.58 2008
70 Namibia 17.55 2015
71 Azerbaijan 17.38 2015
72 Ethiopia 17.28 2018
73 Fiji 17.19 2013
74 Nicaragua 17.05 2009
75 Bosnia and Herzegovina 16.50 2015
76 Nepal 15.73 2010
77 Bhutan 15.29 2007
78 Cabo Verde 14.80 2007
79 Timor-Leste 13.87 2011
80 Rwanda 13.68 2013
81 Russia 13.41 2017
82 Niger 13.31 2014
83 Iraq 12.40 2012
84 Mauritius 11.84 2017
85 Kiribati 8.85 2006
86 Papua New Guinea 7.70 2009
87 Tajikistan 7.56 2011
88 Botswana 7.50 2015
89 Mauritania 7.24 2008
90 Afghanistan 6.75 2007
91 Gabon 5.80 2017
92 Haiti 5.76 2001
93 Angola 5.02 2018
94 The Gambia 4.07 2015
95 Solomon Islands 3.96 2005
96 Dem. Rep. Congo 3.50 2012
97 Uganda 3.40 2016
98 Senegal 3.22 2011
99 Dominica 2.44 2002
100 Chad 1.38 2011
101 Côte d'Ivoire 1.20 2015
102 Zambia 1.05 2015
103 Burkina Faso 0.22 2018
104 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