Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) - Country Ranking

Definition: Benefit incidence of social protection and labor programs (SPL) to poorest quintile shows the percentage of total social protection and labor programs benefits received by the poorest 20% of the population. Social protection and labor programs include social insurance, social safety nets, and unemployment benefits and active labor market programs. 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 57.59 2016
2 Zimbabwe 37.55 2019
3 Indonesia 28.87 2019
4 India 22.33 2011
5 Liberia 21.02 2016
6 Lithuania 20.17 2008
7 Georgia 20.05 2018
8 Tunisia 19.76 2010
9 Lesotho 19.04 2017
10 Belize 18.94 2009
11 South Africa 18.54 2014
12 Bulgaria 18.18 2007
13 Bangladesh 18.02 2016
14 Sudan 17.98 2009
15 Azerbaijan 17.27 2015
16 Armenia 17.17 2018
17 Tajikistan 16.97 2011
18 Moldova 15.91 2018
19 Kyrgyz Republic 15.54 2013
20 Latvia 15.39 2009
21 Hungary 15.36 2007
22 Namibia 15.32 2015
23 Ukraine 14.77 2018
24 Kenya 14.62 2015
25 Sierra Leone 14.35 2018
26 Uzbekistan 14.25 2018
27 Belarus 13.96 2019
28 Ethiopia 13.84 2018
29 Albania 13.46 2012
30 Serbia 13.38 2015
31 Philippines 12.91 2015
32 Rwanda 12.71 2013
33 Mongolia 12.50 2016
34 Croatia 12.44 2014
35 Jordan 12.17 2010
36 Eswatini 11.85 2016
37 Bosnia and Herzegovina 11.78 2015
38 Malaysia 11.77 2016
39 Poland 11.25 2015
40 Samoa 11.02 2008
41 Malawi 10.99 2016
42 Yemen 10.70 2005
43 Slovak Republic 10.50 2009
44 Montenegro 10.48 2014
45 Djibouti 10.28 2012
46 Romania 10.17 2016
47 Kazakhstan 10.09 2017
48 Russia 9.57 2017
49 Thailand 9.40 2017
50 Iraq 9.13 2012
51 Kiribati 8.85 2006
52 Sri Lanka 8.66 2016
53 Mauritius 8.61 2017
54 Fiji 8.41 2013
55 Chile 8.36 2017
56 Honduras 8.26 2017
57 Peru 8.06 2019
58 Panama 7.95 2019
59 Botswana 7.90 2015
60 Mauritania 7.69 2008
61 Cabo Verde 7.59 2007
62 Palau 7.41 2006
63 Myanmar 7.34 2017
64 Egypt 7.17 2008
65 Mexico 6.97 2018
66 Côte d'Ivoire 6.63 2015
67 Paraguay 6.49 2019
68 Costa Rica 6.01 2019
69 Nepal 5.92 2010
70 Afghanistan 5.87 2007
71 Gabon 5.80 2017
72 The Gambia 5.62 2015
73 Argentina 5.61 2019
74 Turkey 5.54 2019
75 Niger 5.52 2014
76 Ecuador 5.38 2019
77 Timor-Leste 5.28 2011
78 Uruguay 5.24 2019
79 Pakistan 4.78 2018
80 Nigeria 4.70 2018
81 Congo 4.62 2005
82 Papua New Guinea 4.47 2009
83 Dominican Republic 4.20 2019
84 Guinea 4.10 2012
85 Solomon Islands 4.02 2005
86 Brazil 3.82 2019
87 Vietnam 3.68 2014
88 Dem. Rep. Congo 3.45 2012
89 Tanzania 3.14 2014
90 China 3.00 2013
91 Jamaica 2.99 2017
92 Mozambique 2.58 2014
93 Colombia 2.49 2019
94 Nicaragua 2.47 2014
95 Benin 2.47 2003
96 Lao PDR 2.05 2018
97 Dominica 1.71 2002
98 Chad 1.58 2011
99 Syrian Arab Republic 1.51 2003
100 Angola 1.32 2018
101 Bhutan 1.31 2012
102 Senegal 1.16 2011
103 El Salvador 1.16 2019
104 Guatemala 0.99 2014
105 Uganda 0.96 2016
106 Cameroon 0.72 2014
107 Comoros 0.62 2004
108 Zambia 0.47 2015
109 Mali 0.40 2009
110 Burkina Faso 0.25 2018
111 Bolivia 0.23 2019
112 Cambodia 0.10 2013
113 Tonga 0.00 2009
113 Togo 0.00 2011
113 Haiti 0.00 2012

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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