Coverage of social safety net programs in richest quintile (% of population) - Country Ranking

Definition: Coverage of social safety net programs shows the percentage of population participating in 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 India 90.28 2011
2 Mongolia 70.82 2016
3 El Salvador 66.83 2019
4 Iraq 61.53 2012
5 Chile 53.94 2017
6 Slovak Republic 53.79 2009
7 Bolivia 53.14 2019
8 Russia 51.78 2017
9 Mauritius 51.51 2017
10 Georgia 50.38 2018
11 Lithuania 47.16 2008
12 South Africa 44.93 2014
13 Eswatini 44.84 2016
14 Malaysia 43.42 2016
15 Burkina Faso 43.03 2018
16 Gabon 42.68 2017
17 Hungary 42.49 2007
18 Latvia 39.97 2009
19 Lesotho 39.04 2017
20 Thailand 38.70 2018
21 Romania 38.47 2016
22 Mauritania 37.28 2014
23 Nicaragua 37.13 2014
24 Belarus 33.92 2019
25 Panama 32.22 2019
26 Uruguay 31.81 2019
27 Jordan 31.79 2010
28 Egypt 30.18 2008
29 Timor-Leste 29.84 2011
30 China 29.28 2013
31 Nepal 28.69 2010
32 Guatemala 28.13 2014
33 Paraguay 28.04 2019
34 Botswana 26.62 2015
35 Malawi 25.54 2016
36 Namibia 25.27 2015
37 Azerbaijan 24.47 2015
38 Bulgaria 24.23 2007
39 Bangladesh 23.46 2016
40 Cabo Verde 22.49 2007
41 Dominican Republic 20.89 2019
42 Poland 20.77 2015
43 Kenya 19.46 2015
44 Ukraine 18.36 2018
45 Morocco 18.16 2009
46 Peru 18.07 2019
47 Dem. Rep. Congo 17.75 2012
48 Moldova 17.17 2018
49 Honduras 17.00 2017
50 Armenia 16.57 2018
51 Niger 16.03 2014
52 Fiji 15.67 2013
53 Kazakhstan 15.56 2017
54 Haiti 15.34 2012
55 Rwanda 14.95 2013
56 Angola 14.62 2018
57 Zimbabwe 14.57 2019
58 Costa Rica 13.11 2019
59 Ethiopia 12.71 2018
60 Jamaica 12.34 2017
61 Belize 11.89 2009
62 Côte d'Ivoire 11.40 2015
63 Senegal 11.17 2011
64 Bosnia and Herzegovina 10.99 2015
65 Croatia 10.42 2014
66 Tunisia 10.28 2010
67 Tanzania 10.28 2014
68 Albania 10.02 2012
69 Sri Lanka 9.30 2016
70 Mexico 8.69 2018
71 Philippines 7.88 2015
72 Liberia 7.80 2016
73 Indonesia 7.74 2019
74 Sierra Leone 7.69 2018
75 Yemen 7.61 2005
76 Myanmar 7.18 2017
77 Tajikistan 7.03 2011
78 Papua New Guinea 5.83 2009
79 Serbia 5.56 2015
80 Nigeria 4.82 2018
81 Lebanon 4.59 2004
82 Afghanistan 4.37 2011
83 Ghana 4.15 2016
84 Solomon Islands 3.73 2005
85 Uzbekistan 3.62 2018
86 Vietnam 3.27 2014
87 Kiribati 3.24 2006
88 Dominica 3.04 2002
89 Venezuela 2.88 2006
90 Ecuador 2.66 2019
91 Montenegro 2.58 2014
92 Colombia 2.47 2019
93 Zambia 2.40 2015
94 Guinea 2.39 2012
95 Cameroon 2.35 2014
96 Sudan 2.33 2009
97 Kyrgyz Republic 2.22 2013
98 Turkey 2.07 2019
99 Argentina 1.67 2019
100 Djibouti 1.57 2012
101 Bhutan 1.40 2012
102 Brazil 1.16 2019
103 Uganda 1.13 2016
104 Congo 1.13 2005
105 Mozambique 1.00 2014
106 Pakistan 0.84 2018
107 Palau 0.84 2006
108 Chad 0.80 2011
109 The Gambia 0.55 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