Coverage of social safety net programs in poorest 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 Malaysia 97.64 2016
2 Mongolia 96.77 2016
3 Eswatini 96.75 2016
4 South Africa 96.14 2014
5 Chile 95.87 2017
6 India 95.63 2011
7 Slovak Republic 95.61 2009
8 Thailand 93.48 2018
9 El Salvador 90.48 2019
10 Peru 90.16 2019
11 Uruguay 89.78 2019
12 Panama 89.51 2019
13 Bolivia 89.38 2019
14 Lesotho 88.93 2017
15 Paraguay 88.14 2019
16 Iraq 86.12 2012
17 Costa Rica 84.82 2019
18 Jordan 83.31 2010
19 Romania 81.93 2016
20 Hungary 81.31 2007
21 Russia 78.55 2017
22 Georgia 75.75 2018
23 Nicaragua 74.29 2014
24 Guatemala 71.65 2014
25 Jamaica 70.55 2017
26 Lithuania 68.09 2008
27 Latvia 67.17 2009
28 China 65.04 2013
29 Botswana 63.34 2015
30 Philippines 62.12 2015
31 Belarus 61.24 2019
32 Brazil 60.98 2019
33 Honduras 59.07 2017
34 Dominican Republic 59.06 2019
35 Zimbabwe 58.96 2019
36 Croatia 58.89 2014
37 Bulgaria 57.58 2007
38 Burkina Faso 55.21 2018
39 Egypt 54.86 2008
40 Argentina 54.81 2019
41 Bangladesh 52.96 2016
42 Poland 50.70 2015
43 Morocco 50.11 2009
44 Namibia 50.05 2015
45 Moldova 50.04 2018
46 Gabon 49.89 2017
47 Mexico 49.66 2018
48 Malawi 49.50 2016
49 Mauritius 49.02 2017
50 Nepal 48.95 2010
51 Indonesia 48.51 2019
52 Vietnam 48.39 2014
53 Sri Lanka 48.28 2016
54 Mauritania 47.46 2014
55 Ecuador 45.36 2019
56 Colombia 43.02 2019
57 Armenia 42.49 2018
58 Ukraine 41.56 2018
59 Timor-Leste 41.40 2011
60 Turkey 39.61 2019
61 Fiji 38.84 2013
62 Ghana 38.69 2016
63 Côte d'Ivoire 36.46 2015
64 Kazakhstan 36.19 2017
65 Kenya 34.51 2015
66 Azerbaijan 33.37 2015
67 Djibouti 30.83 2012
68 Ethiopia 30.01 2018
69 Serbia 29.54 2015
70 Albania 27.67 2012
71 Nigeria 27.46 2018
72 Cabo Verde 25.35 2007
73 Bosnia and Herzegovina 23.19 2015
74 Montenegro 22.65 2014
75 Sierra Leone 22.22 2018
76 Haiti 21.53 2012
77 Pakistan 20.54 2018
78 Rwanda 20.05 2013
79 Tunisia 19.81 2010
80 Liberia 19.50 2016
81 Belize 18.50 2009
82 Yemen 16.35 2005
83 Niger 15.51 2014
84 Angola 14.59 2018
85 Kyrgyz Republic 13.29 2013
86 Sudan 13.10 2009
87 Tajikistan 13.04 2011
88 Afghanistan 12.47 2011
89 Dominica 10.61 2002
90 Uzbekistan 10.35 2018
91 Myanmar 10.18 2017
92 Tanzania 8.67 2014
93 Palau 8.67 2006
94 Senegal 5.15 2011
95 Venezuela 5.00 2006
96 Kiribati 4.84 2006
97 Dem. Rep. Congo 4.83 2012
98 Bhutan 3.92 2012
99 Lebanon 3.15 2004
100 The Gambia 2.18 2015
101 Papua New Guinea 1.92 2009
102 Mozambique 1.57 2014
103 Guinea 1.28 2012
104 Solomon Islands 1.11 2005
105 Congo 1.02 2005
106 Zambia 0.62 2015
107 Uganda 0.46 2016
108 Chad 0.09 2011
109 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