Coverage of social safety net programs in 2nd 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 94.06 2011
2 Slovak Republic 93.89 2009
3 Eswatini 93.73 2016
4 Chile 93.54 2017
5 South Africa 92.99 2014
6 Mongolia 92.69 2016
7 Malaysia 91.34 2016
8 El Salvador 89.70 2019
9 Thailand 89.20 2018
10 Lesotho 87.17 2017
11 Bolivia 85.64 2019
12 Iraq 81.68 2012
13 Peru 80.51 2019
14 Paraguay 80.44 2019
15 Panama 79.37 2019
16 Costa Rica 77.20 2019
17 Jordan 76.82 2010
18 Guatemala 73.14 2014
19 Uruguay 72.08 2019
20 Nicaragua 71.12 2014
21 Russia 70.54 2017
22 Botswana 68.78 2015
23 Georgia 68.37 2018
24 Hungary 65.63 2007
25 Romania 64.65 2016
26 Lithuania 62.67 2008
27 Jamaica 59.76 2017
28 Dominican Republic 58.12 2019
29 Burkina Faso 57.54 2018
30 Latvia 55.00 2009
31 Honduras 53.45 2017
32 China 53.33 2013
33 Belarus 51.23 2019
34 Mauritius 49.84 2017
35 Philippines 49.34 2015
36 Bangladesh 48.58 2016
37 Namibia 48.38 2015
38 Egypt 47.35 2008
39 Malawi 47.09 2016
40 Nepal 46.51 2010
41 Mauritania 46.01 2014
42 Gabon 45.47 2017
43 Morocco 43.03 2009
44 Bulgaria 41.59 2007
45 Indonesia 38.58 2019
46 Fiji 38.32 2013
47 Zimbabwe 37.76 2019
48 Moldova 37.13 2018
49 Sri Lanka 36.27 2016
50 Mexico 35.50 2018
51 Poland 34.62 2015
52 Ukraine 34.23 2018
53 Côte d'Ivoire 34.15 2015
54 Croatia 33.70 2014
55 Armenia 33.08 2018
56 Argentina 32.88 2019
57 Timor-Leste 32.19 2011
58 Colombia 31.40 2019
59 Brazil 30.15 2019
60 Kazakhstan 28.17 2017
61 Kenya 27.93 2015
62 Ecuador 27.14 2019
63 Azerbaijan 25.12 2015
64 Nigeria 24.70 2018
65 Ghana 24.35 2016
66 Ethiopia 24.29 2018
67 Bosnia and Herzegovina 23.18 2015
68 Cabo Verde 22.87 2007
69 Albania 22.82 2012
70 Rwanda 22.23 2013
71 Belize 21.06 2009
72 Niger 20.61 2014
73 Haiti 19.89 2012
74 Vietnam 19.74 2014
75 Sierra Leone 18.21 2018
76 Turkey 16.93 2019
77 Angola 16.41 2018
78 Tunisia 15.28 2010
79 Pakistan 14.80 2018
80 Yemen 14.74 2005
81 Liberia 14.62 2016
82 Dominica 13.56 2002
83 Serbia 13.20 2015
84 Tanzania 13.02 2014
85 Afghanistan 11.86 2011
86 Sudan 10.24 2009
87 Myanmar 9.49 2017
88 Kyrgyz Republic 9.44 2013
89 Djibouti 9.38 2012
90 Senegal 8.48 2011
91 Tajikistan 8.29 2011
92 Uzbekistan 8.02 2018
93 Dem. Rep. Congo 6.82 2012
94 Montenegro 6.43 2014
95 Venezuela 6.08 2006
96 Lebanon 4.62 2004
97 Kiribati 3.83 2006
98 Bhutan 2.74 2012
99 Palau 2.69 2006
100 Papua New Guinea 2.64 2009
101 The Gambia 1.98 2015
102 Mozambique 1.80 2014
103 Guinea 1.75 2012
104 Congo 1.05 2005
105 Zambia 1.02 2015
106 Uganda 0.65 2016
107 Cameroon 0.34 2014
108 Solomon Islands 0.30 2005
109 Chad 0.15 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