Adequacy of social protection and labor programs (% of total welfare of beneficiary households) - Country Ranking

Definition: Adequacy of social protection and labor programs (SPL) is measured by the total transfer amount received by the population participating in social insurance, social safety net, and unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. 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 Ghana 96.41 2012
2 Belarus 72.38 2016
3 Syrian Arab Republic 67.63 2003
4 Congo 66.99 2005
5 Poland 60.56 2012
6 Serbia 54.90 2015
7 Montenegro 50.78 2014
8 Hungary 50.40 2007
9 Romania 49.18 2012
10 Côte d'Ivoire 47.54 2015
11 Mauritius 45.87 2012
12 Mauritania 45.34 2008
13 Uruguay 45.24 2012
14 Brazil 44.76 2015
15 Mozambique 43.10 2008
16 Kyrgyz Republic 42.16 2013
17 Croatia 39.52 2010
18 Benin 39.49 2003
19 Turkey 39.39 2016
20 Ukraine 38.61 2015
21 Dem. Rep. Congo 38.26 2012
22 Argentina 38.15 2013
23 Kazakhstan 37.67 2015
24 China 36.83 2013
25 Haiti 34.60 2012
26 Moldova 34.33 2013
27 South Africa 34.20 2014
28 Zambia 34.02 2010
29 Armenia 33.63 2014
30 Lithuania 33.19 2008
31 Bosnia and Herzegovina 32.45 2015
32 Latvia 32.37 2009
33 Ecuador 32.35 2016
34 Slovak Republic 32.30 2009
35 Bulgaria 32.19 2007
36 Lao PDR 29.84 2007
37 Georgia 29.25 2011
38 Tonga 29.12 2009
39 Djibouti 28.95 2012
40 Dominica 28.88 2002
41 Costa Rica 28.58 2014
42 Togo 28.50 2011
43 Mexico 28.47 2014
44 Albania 27.99 2012
45 Palau 27.99 2006
46 Bhutan 27.64 2012
47 El Salvador 25.86 2014
48 Russia 25.58 2016
49 Colombia 25.30 2014
50 Solomon Islands 24.64 2005
51 Chad 24.52 2011
52 Paraguay 24.28 2014
53 Fiji 24.20 2008
54 Belize 23.35 2009
55 Afghanistan 22.99 2007
56 Vietnam 22.52 2014
57 Guatemala 22.32 2014
58 Egypt 21.03 2008
59 Gabon 20.76 2005
60 Mongolia 20.71 2012
61 Timor-Leste 20.62 2011
62 Panama 19.72 2014
63 Pakistan 19.53 2013
64 Samoa 18.65 2008
65 Jordan 18.49 2010
66 Nigeria 18.35 2015
67 Peru 17.83 2014
68 Burkina Faso 17.15 2014
69 Nicaragua 17.14 2014
70 Thailand 16.62 2013
71 Indonesia 15.94 2015
72 Eswatini 15.70 2009
73 Mali 15.51 2009
74 Sri Lanka 15.46 2012
75 Chile 15.26 2015
76 Cabo Verde 14.74 2007
77 Uganda 13.51 2012
78 Tanzania 13.35 2014
79 Honduras 13.33 2013
80 Comoros 13.22 2004
81 Bolivia 12.81 2014
82 Dominican Republic 12.72 2014
83 Cambodia 12.54 2013
84 Senegal 11.79 2011
85 Jamaica 11.59 2010
86 Guinea 10.27 2012
87 Botswana 9.53 2009
88 Iraq 9.52 2012
89 Yemen 9.21 2005
90 Bangladesh 9.12 2010
91 Philippines 7.75 2015
92 Tajikistan 7.60 2011
93 Nepal 5.95 2010
94 Kenya 5.93 2015
95 Kiribati 5.62 2006
96 The Gambia 5.22 2010
97 India 5.20 2011
98 Rwanda 4.93 2013
99 Malawi 4.72 2016
100 Malaysia 4.51 2008
101 Tunisia 3.80 2010
102 Liberia 3.44 2016
103 Niger 3.38 2014
104 Cameroon 3.13 2014
105 Azerbaijan 2.57 2015
106 Sudan 1.05 2009
107 Papua New Guinea 0.46 2009

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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