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 Mongolia 99.83 2012
2 India 93.25 2011
3 Slovak Republic 83.20 2009
4 Malaysia 82.81 2008
5 South Africa 78.63 2014
6 Bolivia 76.88 2014
7 Iraq 75.77 2012
8 Botswana 73.77 2009
9 Chile 71.56 2015
10 Russia 67.89 2016
11 Ecuador 67.05 2016
12 Jordan 65.68 2010
13 Georgia 64.64 2011
14 Romania 61.83 2012
15 Uganda 60.47 2012
16 Nicaragua 59.75 2014
17 Hungary 59.54 2007
18 Thailand 59.32 2013
19 Colombia 59.25 2014
20 Uruguay 59.21 2012
21 Guatemala 59.11 2014
22 Lithuania 58.67 2008
23 Peru 56.10 2014
24 Paraguay 55.75 2014
25 Jamaica 54.97 2010
26 Honduras 54.22 2013
27 Belarus 54.08 2016
28 El Salvador 53.14 2014
29 Eswatini 51.65 2009
30 Panama 51.12 2014
31 Latvia 50.81 2009
32 Indonesia 48.74 2015
33 Costa Rica 45.85 2014
34 Mauritania 45.22 2014
35 Egypt 44.88 2008
36 Mauritius 44.85 2012
37 Gabon 44.70 2005
38 China 43.81 2013
39 Malawi 41.22 2016
40 Nepal 40.14 2010
41 Bulgaria 39.53 2007
42 Poland 38.75 2012
43 Ukraine 36.63 2015
44 Morocco 36.59 2009
45 Timor-Leste 35.21 2011
46 Philippines 33.83 2015
47 Mexico 32.53 2014
48 Kazakhstan 30.62 2015
49 Sierra Leone 30.16 2011
50 Dominican Republic 29.96 2014
51 Armenia 28.40 2014
52 Zimbabwe 27.73 2011
53 Côte d'Ivoire 27.23 2015
54 Azerbaijan 26.91 2015
55 Kenya 26.44 2015
56 Sri Lanka 26.19 2012
57 Croatia 24.57 2010
58 Moldova 23.79 2013
59 Brazil 23.72 2015
60 Cabo Verde 21.87 2007
61 Niger 20.11 2014
62 Rwanda 20.09 2013
63 Argentina 19.76 2013
64 Haiti 19.13 2012
65 Albania 19.08 2012
66 Turkey 17.96 2016
67 Vietnam 17.51 2014
68 Bosnia and Herzegovina 17.42 2015
69 Belize 16.28 2009
70 Namibia 15.18 2009
71 Tunisia 14.43 2010
72 Liberia 13.99 2016
73 Serbia 13.40 2015
74 Ethiopia 13.25 2010
75 Bangladesh 13.09 2010
76 Yemen 12.57 2005
77 Pakistan 11.20 2013
78 Tanzania 10.94 2014
79 Dem. Rep. Congo 9.99 2012
80 Tajikistan 9.75 2011
81 Fiji 9.55 2008
82 Djibouti 9.53 2012
83 Afghanistan 8.82 2011
84 Senegal 8.24 2011
85 Montenegro 8.08 2014
86 Dominica 8.01 2002
87 Sudan 7.45 2009
88 Kyrgyz Republic 7.18 2013
89 The Gambia 7.08 2010
90 Lesotho 6.32 2010
91 Lebanon 4.83 2004
92 Venezuela 4.74 2006
93 Kiribati 4.57 2006
94 Nigeria 3.76 2015
95 Papua New Guinea 3.36 2009
96 Palau 2.90 2006
97 Burkina Faso 2.29 2014
98 Bhutan 2.25 2012
99 Guinea 1.71 2012
100 Solomon Islands 1.58 2005
101 Mozambique 1.58 2014
102 Ghana 1.38 2012
103 Congo 0.92 2005
104 Cameroon 0.87 2014
105 Chad 0.57 2011
106 Zambia 0.57 2010

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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