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 Syrian Arab Republic 811.55 2003
2 Lao PDR 133.03 2018
3 Congo 66.99 2005
4 Poland 66.85 2015
5 Serbia 54.90 2015
6 Romania 53.63 2016
7 Belarus 53.37 2019
8 Montenegro 50.78 2014
9 Moldova 50.62 2018
10 Hungary 50.40 2007
11 Côte d'Ivoire 47.54 2015
12 Mauritania 45.34 2008
13 Turkey 44.78 2019
14 Mauritius 43.45 2017
15 Brazil 42.33 2019
16 Kyrgyz Republic 42.16 2013
17 Croatia 41.83 2014
18 Argentina 40.05 2019
19 Benin 39.49 2003
20 Bolivia 39.01 2019
21 Dem. Rep. Congo 38.26 2012
22 China 36.83 2013
23 Armenia 36.37 2018
24 Uruguay 35.25 2019
25 Ukraine 35.04 2018
26 Haiti 34.60 2012
27 South Africa 34.40 2014
28 Georgia 34.06 2018
29 Costa Rica 33.23 2019
30 Lithuania 33.19 2008
31 Kazakhstan 32.56 2017
32 Bosnia and Herzegovina 32.45 2015
33 Latvia 32.37 2009
34 Slovak Republic 32.30 2009
35 Bulgaria 32.19 2007
36 Colombia 32.11 2019
37 El Salvador 31.18 2019
38 Ecuador 29.72 2019
39 Tonga 29.12 2009
40 Djibouti 28.95 2012
41 Dominica 28.88 2002
42 The Gambia 28.86 2015
43 Togo 28.50 2011
44 Uzbekistan 28.10 2018
45 Albania 27.99 2012
46 Palau 27.99 2006
47 Jamaica 27.69 2017
48 Bhutan 27.64 2012
49 Mozambique 26.85 2014
50 Russia 26.65 2017
51 Paraguay 26.12 2019
52 Botswana 26.05 2015
53 Mexico 25.70 2018
54 Pakistan 25.43 2018
55 Myanmar 24.86 2017
56 Solomon Islands 24.64 2005
57 Chad 24.52 2011
58 Angola 23.60 2018
59 Belize 23.35 2009
60 Mongolia 23.27 2016
61 Afghanistan 22.99 2007
62 Zimbabwe 22.70 2019
63 Vietnam 22.52 2014
64 Guatemala 22.32 2014
65 Egypt 21.03 2008
66 Timor-Leste 20.62 2011
67 Uganda 19.98 2016
68 Peru 19.50 2019
69 Samoa 18.65 2008
70 Chile 18.65 2017
71 Jordan 18.49 2010
72 Thailand 17.67 2017
73 Sri Lanka 17.33 2016
74 Burkina Faso 17.22 2018
75 Nicaragua 17.14 2014
76 Panama 16.74 2019
77 Dominican Republic 16.09 2019
78 Mali 15.51 2009
79 Cabo Verde 14.74 2007
80 Eswatini 13.59 2016
81 Tanzania 13.35 2014
82 Comoros 13.22 2004
83 Lesotho 12.95 2017
84 Namibia 12.77 2015
85 Cambodia 12.54 2013
86 Senegal 11.79 2011
87 Honduras 11.65 2017
88 Fiji 11.28 2013
89 Guinea 10.27 2012
90 Nigeria 9.58 2018
91 Iraq 9.52 2012
92 Yemen 9.21 2005
93 Ethiopia 8.25 2018
94 Philippines 7.75 2015
95 Malaysia 7.61 2016
96 Tajikistan 7.60 2011
97 Bangladesh 6.10 2016
98 Nepal 5.95 2010
99 Kenya 5.93 2015
100 Kiribati 5.62 2006
101 India 5.20 2011
102 Rwanda 4.93 2013
103 Ghana 4.80 2016
104 Malawi 4.72 2016
105 Indonesia 4.27 2019
106 Gabon 4.02 2017
107 Tunisia 3.80 2010
108 Liberia 3.40 2016
109 Niger 3.38 2014
110 Cameroon 3.13 2014
111 Zambia 3.02 2015
112 Azerbaijan 2.57 2015
113 Sierra Leone 2.57 2018
114 Sudan 1.05 2009
115 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