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 Indonesia 35.49 2015
2 India 22.33 2011
3 Liberia 20.77 2016
4 Georgia 20.37 2011
5 Lithuania 20.17 2008
6 Tunisia 19.76 2010
7 Belize 18.94 2009
8 South Africa 18.54 2014
9 Bulgaria 18.18 2007
10 Sudan 17.98 2009
11 Armenia 17.79 2014
12 Azerbaijan 17.27 2015
13 Tajikistan 16.97 2011
14 Belarus 16.91 2016
15 Moldova 15.85 2013
16 Kyrgyz Republic 15.54 2013
17 Latvia 15.39 2009
18 Hungary 15.36 2007
19 Mongolia 15.20 2012
20 Jamaica 14.63 2010
21 Kenya 14.62 2015
22 Bolivia 14.53 2014
23 Ukraine 14.05 2015
24 Eswatini 13.65 2009
25 Albania 13.46 2012
26 Serbia 13.38 2015
27 Croatia 13.13 2010
28 Philippines 12.91 2015
29 Botswana 12.82 2009
30 Rwanda 12.71 2013
31 Jordan 12.17 2010
32 Mauritius 11.99 2012
33 Bosnia and Herzegovina 11.78 2015
34 Poland 11.54 2012
35 Samoa 11.02 2008
36 Malawi 10.99 2016
37 Yemen 10.70 2005
38 Kazakhstan 10.68 2015
39 Slovak Republic 10.50 2009
40 Montenegro 10.48 2014
41 Djibouti 10.28 2012
42 Malaysia 10.16 2008
43 Romania 9.63 2012
44 Russia 9.54 2016
45 Fiji 9.49 2008
46 Iraq 9.13 2012
47 Kiribati 8.85 2006
48 Bangladesh 8.73 2010
49 Dominican Republic 8.50 2014
50 Thailand 8.42 2013
51 Gabon 8.27 2005
52 Mexico 7.74 2014
53 Mauritania 7.69 2008
54 Honduras 7.61 2013
55 Chile 7.59 2015
56 Cabo Verde 7.59 2007
57 Palau 7.41 2006
58 Egypt 7.17 2008
59 Argentina 6.73 2013
60 Ecuador 6.70 2016
61 Côte d'Ivoire 6.63 2015
62 Turkey 6.09 2016
63 Sri Lanka 5.98 2012
64 Nepal 5.92 2010
65 Afghanistan 5.87 2007
66 Panama 5.71 2014
67 Niger 5.52 2014
68 Peru 5.35 2014
69 Costa Rica 5.30 2014
70 Mozambique 5.29 2008
71 Timor-Leste 5.28 2011
72 Pakistan 5.07 2013
73 Congo 4.62 2005
74 Paraguay 4.57 2014
75 Papua New Guinea 4.47 2009
76 Brazil 4.16 2015
77 Guinea 4.10 2012
78 Solomon Islands 4.02 2005
79 Vietnam 3.68 2014
80 Dem. Rep. Congo 3.45 2012
81 The Gambia 3.35 2010
82 Uruguay 3.21 2012
83 Tanzania 3.14 2014
84 China 3.00 2013
85 Colombia 2.99 2014
86 Nicaragua 2.47 2014
87 Benin 2.47 2003
88 El Salvador 2.38 2014
89 Lao PDR 2.30 2007
90 Zimbabwe 2.21 2011
91 Nigeria 2.17 2015
92 Dominica 1.71 2002
93 Chad 1.58 2011
94 Syrian Arab Republic 1.51 2003
95 Burkina Faso 1.50 2014
96 Bhutan 1.31 2012
97 Senegal 1.16 2011
98 Guatemala 0.99 2014
99 Uganda 0.89 2012
100 Cameroon 0.72 2014
101 Ghana 0.68 2012
102 Comoros 0.62 2004
103 Mali 0.40 2009
104 Zambia 0.29 2010
105 Cambodia 0.10 2013
106 Tonga 0.00 2009
106 Togo 0.00 2011
106 Haiti 0.00 2012

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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