Coverage of social safety net programs in 4th 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 92.59 2011
2 El Salvador 83.69 2019
3 Mongolia 82.11 2016
4 Slovak Republic 80.88 2009
5 Chile 80.33 2017
6 Eswatini 77.46 2016
7 Bolivia 73.80 2019
8 South Africa 72.40 2014
9 Iraq 72.37 2012
10 Malaysia 65.37 2016
11 Lesotho 62.71 2017
12 Russia 61.37 2017
13 Jordan 61.07 2010
14 Thailand 60.44 2018
15 Panama 58.96 2019
16 Georgia 58.26 2018
17 Burkina Faso 57.18 2018
18 Paraguay 56.81 2019
19 Nicaragua 55.89 2014
20 Guatemala 55.78 2014
21 Lithuania 55.73 2008
22 Mauritius 50.70 2017
23 Romania 50.30 2016
24 Hungary 49.47 2007
25 Mauritania 46.67 2014
26 Egypt 46.53 2008
27 Uruguay 45.18 2019
28 Peru 45.18 2019
29 Gabon 45.01 2017
30 Latvia 44.08 2009
31 Belarus 43.24 2019
32 Botswana 43.04 2015
33 Dominican Republic 40.62 2019
34 Malawi 39.33 2016
35 Nepal 36.71 2010
36 Jamaica 36.26 2017
37 Costa Rica 36.07 2019
38 Namibia 35.54 2015
39 Bulgaria 35.41 2007
40 Bangladesh 35.00 2016
41 Honduras 34.08 2017
42 Timor-Leste 33.57 2011
43 Morocco 32.54 2009
44 China 31.19 2013
45 Ukraine 30.23 2018
46 Moldova 27.23 2018
47 Fiji 26.36 2013
48 Armenia 25.27 2018
49 Azerbaijan 24.91 2015
50 Kenya 24.49 2015
51 Poland 23.83 2015
52 Côte d'Ivoire 22.67 2015
53 Rwanda 21.39 2013
54 Indonesia 20.52 2019
55 Niger 20.46 2014
56 Kazakhstan 20.22 2017
57 Sri Lanka 19.31 2016
58 Zimbabwe 18.89 2019
59 Cabo Verde 17.76 2007
60 Philippines 17.72 2015
61 Haiti 17.49 2012
62 Mexico 17.27 2018
63 Angola 17.26 2018
64 Belize 16.32 2009
65 Albania 15.12 2012
66 Croatia 15.00 2014
67 Sierra Leone 14.76 2018
68 Ethiopia 13.38 2018
69 Bosnia and Herzegovina 13.26 2015
70 Tunisia 11.67 2010
71 Dem. Rep. Congo 11.29 2012
72 Yemen 10.66 2005
73 Nigeria 10.31 2018
74 Tanzania 9.91 2014
75 Liberia 9.89 2016
76 Ecuador 9.60 2019
77 Colombia 9.42 2019
78 Ghana 9.40 2016
79 Senegal 8.33 2011
80 Tajikistan 8.30 2011
81 Serbia 8.05 2015
82 Myanmar 7.53 2017
83 Afghanistan 7.09 2011
84 Lebanon 5.69 2004
85 Argentina 5.61 2019
86 Vietnam 5.36 2014
87 Kyrgyz Republic 5.13 2013
88 Sudan 4.94 2009
89 Kiribati 4.88 2006
90 Turkey 4.86 2019
91 Brazil 4.71 2019
92 Montenegro 4.65 2014
93 Pakistan 4.27 2018
94 Venezuela 4.10 2006
95 Papua New Guinea 4.09 2009
96 Uzbekistan 3.35 2018
97 Dominica 2.93 2002
98 Djibouti 2.05 2012
99 Zambia 1.91 2015
100 Guinea 1.80 2012
101 Solomon Islands 1.69 2005
102 Mozambique 1.57 2014
103 Bhutan 1.52 2012
104 Cameroon 1.10 2014
105 The Gambia 0.74 2015
106 Palau 0.72 2006
107 Congo 0.50 2005
108 Uganda 0.47 2016
109 Chad 0.37 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