Coverage of social safety net programs (% 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 93.25 2011
2 Mongolia 86.03 2016
3 El Salvador 83.67 2019
4 Slovak Republic 83.20 2009
5 Chile 82.61 2017
6 Eswatini 80.37 2016
7 South Africa 78.65 2014
8 Bolivia 76.72 2019
9 Iraq 75.77 2012
10 Malaysia 75.72 2016
11 Thailand 71.88 2018
12 Lesotho 70.65 2017
13 Panama 66.14 2019
14 Russia 65.84 2017
15 Jordan 65.68 2010
16 Paraguay 65.63 2019
17 Georgia 63.55 2018
18 Nicaragua 59.75 2014
19 Peru 59.56 2019
20 Hungary 59.54 2007
21 Uruguay 59.26 2019
22 Guatemala 59.11 2014
23 Lithuania 58.67 2008
24 Romania 58.58 2016
25 Burkina Faso 54.94 2018
26 Costa Rica 54.18 2019
27 Botswana 52.19 2015
28 Latvia 50.81 2009
29 Mauritius 50.32 2017
30 Belarus 47.07 2019
31 Gabon 46.64 2017
32 Dominican Republic 45.53 2019
33 Jamaica 45.38 2017
34 Mauritania 45.22 2014
35 Egypt 44.88 2008
36 China 43.81 2013
37 Malawi 41.22 2016
38 Honduras 40.90 2017
39 Namibia 40.64 2015
40 Bangladesh 40.38 2016
41 Nepal 40.14 2010
42 Bulgaria 39.53 2007
43 Morocco 36.59 2009
44 Timor-Leste 35.21 2011
45 Philippines 33.83 2015
46 Moldova 32.74 2018
47 Poland 31.35 2015
48 Zimbabwe 31.09 2019
49 Fiji 30.33 2013
50 Ukraine 30.17 2018
51 Armenia 29.45 2018
52 Indonesia 29.15 2019
53 Sri Lanka 28.13 2016
54 Croatia 27.50 2014
55 Mexico 27.49 2018
56 Côte d'Ivoire 27.23 2015
57 Azerbaijan 26.91 2015
58 Kenya 26.44 2015
59 Kazakhstan 24.72 2017
60 Argentina 22.11 2019
61 Brazil 22.00 2019
62 Cabo Verde 21.87 2007
63 Colombia 21.24 2019
64 Ecuador 20.74 2019
65 Ethiopia 20.71 2018
66 Niger 20.11 2014
67 Rwanda 20.09 2013
68 Haiti 19.13 2012
69 Albania 19.08 2012
70 Ghana 18.14 2016
71 Vietnam 17.51 2014
72 Bosnia and Herzegovina 17.42 2015
73 Nigeria 17.04 2018
74 Belize 16.28 2009
75 Sierra Leone 16.24 2018
76 Angola 16.17 2018
77 Turkey 14.46 2019
78 Tunisia 14.43 2010
79 Serbia 13.40 2015
80 Liberia 12.69 2016
81 Yemen 12.57 2005
82 Tanzania 10.94 2014
83 Dem. Rep. Congo 9.99 2012
84 Pakistan 9.98 2018
85 Tajikistan 9.75 2011
86 Djibouti 9.53 2012
87 Afghanistan 8.82 2011
88 Myanmar 8.73 2017
89 Senegal 8.24 2011
90 Montenegro 8.08 2014
91 Dominica 8.01 2002
92 Sudan 7.45 2009
93 Kyrgyz Republic 7.18 2013
94 Uzbekistan 6.69 2018
95 Lebanon 4.83 2004
96 Venezuela 4.74 2006
97 Kiribati 4.57 2006
98 Papua New Guinea 3.36 2009
99 Palau 2.90 2006
100 Bhutan 2.25 2012
101 Guinea 1.71 2012
102 Solomon Islands 1.58 2005
103 Mozambique 1.58 2014
104 The Gambia 1.53 2015
105 Zambia 1.46 2015
106 Congo 0.92 2005
107 Cameroon 0.87 2014
108 Uganda 0.64 2016
109 Chad 0.57 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