Coverage of social protection and labor programs (% of population) - Country Ranking

Definition: Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, 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 Mongolia 99.90 2012
2 India 93.99 2011
3 Hungary 89.44 2007
4 Slovak Republic 88.62 2009
5 Chile 87.72 2015
6 Malaysia 84.09 2008
7 Romania 83.69 2012
8 Iraq 83.56 2012
9 Lithuania 81.91 2008
10 Latvia 80.30 2009
11 South Africa 79.85 2014
12 Uruguay 79.82 2012
13 Thailand 79.38 2013
14 Bolivia 78.20 2014
15 Russia 77.88 2016
16 Belarus 76.35 2016
17 Botswana 73.77 2009
18 Bulgaria 73.61 2007
19 Jordan 73.19 2010
20 Ecuador 72.58 2016
21 Croatia 70.72 2010
22 Ukraine 70.31 2015
23 Nicaragua 68.15 2014
24 Armenia 66.76 2014
25 Costa Rica 66.64 2014
26 Mexico 65.68 2014
27 Colombia 65.68 2014
28 Peru 64.85 2014
29 Georgia 64.65 2011
30 Azerbaijan 64.64 2015
31 Poland 64.41 2012
32 Ghana 63.67 2012
33 Panama 63.39 2014
34 Paraguay 63.38 2014
35 Guatemala 63.27 2014
36 China 63.05 2013
37 Serbia 61.04 2015
38 Uganda 60.71 2012
39 Jamaica 58.26 2010
40 El Salvador 58.09 2014
41 Kyrgyz Republic 57.86 2013
42 Indonesia 57.41 2015
43 Moldova 56.59 2013
44 Montenegro 56.44 2014
45 Honduras 55.79 2013
46 Egypt 55.45 2008
47 Albania 54.89 2012
48 Lebanon 54.56 2004
49 Brazil 53.81 2015
50 Gabon 51.83 2005
51 Eswatini 51.65 2009
52 Turkey 50.36 2016
53 Bosnia and Herzegovina 50.35 2015
54 Kazakhstan 50.21 2015
55 Mauritius 46.63 2012
56 Argentina 46.36 2013
57 Mauritania 45.22 2014
58 Nepal 43.49 2010
59 Malawi 41.52 2016
60 Morocco 41.01 2009
61 Philippines 40.62 2015
62 Belize 39.39 2009
63 Tajikistan 39.29 2011
64 Palau 37.43 2006
65 Timor-Leste 35.33 2011
66 Vietnam 34.86 2014
67 Dominican Republic 34.53 2014
68 Samoa 33.64 2008
69 Sri Lanka 33.13 2012
70 Côte d'Ivoire 32.86 2015
71 Rwanda 31.40 2013
72 Sierra Leone 30.16 2011
73 Cabo Verde 29.68 2007
74 Zimbabwe 29.55 2011
75 Kenya 27.40 2015
76 Niger 21.38 2014
77 Yemen 21.26 2005
78 Djibouti 20.94 2012
79 Dominica 20.84 2002
80 Haiti 19.46 2012
81 Bangladesh 17.77 2010
82 Pakistan 16.80 2013
83 Senegal 16.79 2011
84 Namibia 16.15 2009
85 Venezuela 14.52 2006
86 Liberia 14.44 2016
87 Tunisia 14.43 2010
88 Fiji 14.33 2008
89 Ethiopia 13.25 2010
90 Tanzania 12.88 2014
91 Dem. Rep. Congo 11.06 2012
92 Congo 8.91 2005
93 Afghanistan 8.82 2011
94 The Gambia 8.31 2010
95 Syrian Arab Republic 8.19 2003
96 Sudan 7.45 2009
97 Benin 6.63 2003
98 Nigeria 6.41 2015
99 Lesotho 6.32 2010
100 Mozambique 6.31 2014
101 Madagascar 5.70 2010
102 Cameroon 5.01 2014
103 Kiribati 4.57 2006
104 Burkina Faso 4.28 2014
105 Papua New Guinea 4.24 2009
106 Guinea 3.89 2012
107 Cambodia 3.09 2013
108 Togo 3.01 2011
109 Chad 2.97 2011
110 Bhutan 2.92 2012
111 Myanmar 2.34 2009
112 Comoros 1.98 2004
113 Lao PDR 1.65 2007
114 Zambia 1.62 2010
115 Solomon Islands 1.58 2005
116 Mali 1.31 2009
117 Tonga 1.29 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