Coverage of social safety net programs in 3rd 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 93.68 2011
2 Slovak Republic 91.83 2009
3 Chile 89.35 2017
4 Eswatini 89.09 2016
5 Mongolia 87.75 2016
6 El Salvador 87.69 2019
7 South Africa 86.80 2014
8 Bolivia 81.63 2019
9 Malaysia 80.83 2016
10 Thailand 77.58 2018
11 Iraq 77.17 2012
12 Lesotho 75.44 2017
13 Jordan 75.41 2010
14 Paraguay 74.76 2019
15 Panama 70.68 2019
16 Russia 66.94 2017
17 Guatemala 66.89 2014
18 Georgia 65.02 2018
19 Peru 63.89 2019
20 Burkina Faso 61.75 2018
21 Nicaragua 60.37 2014
22 Lithuania 59.72 2008
23 Costa Rica 59.72 2019
24 Botswana 59.22 2015
25 Hungary 58.82 2007
26 Romania 57.59 2016
27 Uruguay 57.49 2019
28 Mauritius 50.52 2017
29 Gabon 50.17 2017
30 Dominican Republic 48.97 2019
31 Mauritania 48.67 2014
32 Jamaica 48.03 2017
33 Latvia 47.90 2009
34 Belarus 45.87 2019
35 Egypt 45.47 2008
36 Malawi 44.65 2016
37 Namibia 43.99 2015
38 Bangladesh 41.88 2016
39 Honduras 40.92 2017
40 China 40.23 2013
41 Nepal 39.85 2010
42 Morocco 39.17 2009
43 Timor-Leste 39.08 2011
44 Bulgaria 38.89 2007
45 Fiji 32.47 2013
46 Moldova 32.15 2018
47 Philippines 32.09 2015
48 Côte d'Ivoire 31.48 2015
49 Indonesia 30.43 2019
50 Armenia 29.88 2018
51 Niger 27.95 2014
52 Sri Lanka 27.47 2016
53 Poland 26.83 2015
54 Azerbaijan 26.72 2015
55 Zimbabwe 26.63 2019
56 Ukraine 26.48 2018
57 Mexico 26.32 2018
58 Kenya 25.84 2015
59 Kazakhstan 23.46 2017
60 Ethiopia 23.15 2018
61 Rwanda 21.81 2013
62 Haiti 21.39 2012
63 Cabo Verde 20.85 2007
64 Colombia 19.88 2019
65 Albania 19.78 2012
66 Croatia 19.65 2014
67 Ecuador 18.96 2019
68 Sierra Leone 18.31 2018
69 Angola 17.99 2018
70 Nigeria 17.92 2018
71 Bosnia and Herzegovina 16.48 2015
72 Argentina 15.60 2019
73 Tunisia 15.10 2010
74 Ghana 14.11 2016
75 Belize 13.63 2009
76 Yemen 13.50 2005
77 Brazil 13.01 2019
78 Tanzania 12.80 2014
79 Tajikistan 12.09 2011
80 Liberia 11.65 2016
81 Vietnam 10.79 2014
82 Serbia 10.68 2015
83 Dominica 9.99 2002
84 Pakistan 9.46 2018
85 Dem. Rep. Congo 9.26 2012
86 Myanmar 9.26 2017
87 Turkey 8.84 2019
88 Afghanistan 8.31 2011
89 Uzbekistan 8.12 2018
90 Senegal 8.05 2011
91 Sudan 6.63 2009
92 Lebanon 6.11 2004
93 Kiribati 6.08 2006
94 Kyrgyz Republic 5.81 2013
95 Venezuela 5.64 2006
96 Montenegro 4.08 2014
97 Djibouti 3.83 2012
98 Papua New Guinea 2.29 2009
99 The Gambia 2.21 2015
100 Mozambique 1.97 2014
101 Palau 1.72 2006
102 Bhutan 1.67 2012
103 Chad 1.46 2011
104 Zambia 1.36 2015
105 Guinea 1.35 2012
106 Solomon Islands 1.08 2005
107 Congo 0.88 2005
108 Cameroon 0.58 2014
109 Uganda 0.51 2016

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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