Poverty gap at $5.50 a day (2011 PPP) (%) - Country Ranking

Definition: Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.

Source: World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

See also: Thematic map, Time series comparison

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Rank Country Value Year
1 Madagascar 74.20 2012
2 Dem. Rep. Congo 73.80 2012
3 Malawi 70.50 2019
4 Burundi 69.80 2013
5 Somalia 68.80 2017
6 Central African Republic 66.40 2008
7 Mozambique 64.40 2014
7 Uzbekistan 64.40 2003
9 Zambia 61.10 2015
10 Rwanda 60.40 2016
11 Turkmenistan 57.10 1998
12 Tanzania 57.00 2018
13 Angola 56.60 2018
14 Liberia 55.90 2016
15 Sierra Leone 54.80 2018
16 Niger 54.20 2018
17 Nigeria 52.80 2018
18 Uganda 52.20 2019
19 Papua New Guinea 50.20 2009
20 Congo 49.60 2011
20 Ethiopia 49.60 2015
22 Kenya 49.40 2015
23 Chad 48.70 2018
24 Zimbabwe 48.40 2019
25 Timor-Leste 46.60 2014
26 Burkina Faso 45.30 2018
27 Guinea 44.80 2018
28 India 44.40 2011
29 Guinea-Bissau 43.70 2018
30 Solomon Islands 43.10 2012
31 São Tomé and Principe 42.60 2017
32 Eswatini 39.90 2016
33 Haiti 39.40 2012
34 Togo 39.30 2018
35 Bangladesh 38.80 2016
36 Lesotho 38.60 2017
36 Yemen 38.60 2014
38 Nepal 38.50 2010
39 Benin 38.30 2018
40 Cameroon 36.80 2014
41 Mali 36.70 2018
42 Sudan 34.30 2014
43 Djibouti 32.20 2017
43 Comoros 32.20 2014
45 The Gambia 30.50 2015
46 Lao PDR 29.90 2018
47 Suriname 29.20 1999
47 Pakistan 29.20 2018
49 South Africa 29.00 2014
50 Botswana 28.10 2015
51 Côte d'Ivoire 27.80 2018
52 Senegal 27.30 2018
53 Vanuatu 26.80 2019
54 Egypt 26.20 2017
55 Ghana 24.40 2016
56 Namibia 24.30 2015
57 Belize 23.80 1999
58 Honduras 23.60 2019
59 Guyana 22.00 1998
60 Mauritania 21.60 2014
61 Guatemala 20.50 2014
62 Kiribati 18.00 2019
63 Kyrgyz Republic 17.70 2020
64 Colombia 17.60 2020
65 Tajikistan 17.10 2015
66 Indonesia 17.00 2021
67 Myanmar 16.20 2017
68 Georgia 16.10 2020
68 Tuvalu 16.10 2010
70 Philippines 16.00 2018
71 Iraq 15.80 2012
72 Fiji 15.10 2019
73 Cabo Verde 14.50 2015
74 Venezuela 13.50 2006
75 Nauru 13.00 2012
76 Ecuador 12.40 2020
77 Nicaragua 12.30 2014
77 Sri Lanka 12.30 2016
77 Peru 12.30 2020
77 Bhutan 12.30 2017
81 Syrian Arab Republic 11.50 2003
82 Trinidad and Tobago 11.30 1992
83 Armenia 11.00 2020
84 Gabon 10.80 2017
85 Samoa 9.80 2013
86 Mexico 9.50 2020
87 St. Lucia 9.20 2016
88 Jamaica 9.10 2004
89 Morocco 8.40 2013
90 Bolivia 8.20 2020
91 Tonga 8.00 2015
92 Vietnam 6.90 2018
93 Mongolia 6.80 2018
94 North Macedonia 6.70 2018
95 El Salvador 6.50 2019
95 Algeria 6.50 2011
97 Montenegro 6.10 2018
98 Argentina 5.90 2020
99 Costa Rica 5.60 2020
100 Paraguay 5.10 2020
101 Iran 4.90 2019
102 Brazil 4.40 2020
103 Dominican Republic 4.30 2020
103 Panama 4.30 2019
105 Tunisia 4.20 2015
106 Serbia 4.00 2019
107 Romania 3.80 2019
108 Jordan 3.60 2010
109 China 3.40 2019
110 Mauritius 2.90 2017
111 Turkey 2.70 2019
112 Bulgaria 2.40 2019
113 Moldova 2.30 2019
114 Albania 2.00 2019
115 Italy 1.80 2018
116 Seychelles 1.50 2018
117 Chile 1.40 2020
118 Greece 1.30 2019
119 Spain 1.20 2019
120 Thailand 1.10 2020
120 Uruguay 1.10 2020
122 United States 1.00 2019
123 Bosnia and Herzegovina 0.90 2011
124 Azerbaijan 0.80 2005
125 Estonia 0.70 2019
125 Lithuania 0.70 2019
125 Latvia 0.70 2019
125 Austria 0.70 2019
125 Israel 0.70 2018
125 Japan 0.70 2013
125 Kazakhstan 0.70 2018
125 Hungary 0.70 2019
133 Australia 0.60 2018
133 Malaysia 0.60 2015
133 Croatia 0.60 2019
136 Russia 0.50 2020
137 Slovak Republic 0.40 2019
137 United Kingdom 0.40 2017
137 Canada 0.40 2017
137 Poland 0.40 2018
137 Sweden 0.40 2019
137 Ukraine 0.40 2020
143 Denmark 0.30 2019
143 Portugal 0.30 2019
143 Malta 0.30 2019
143 Korea 0.30 2016
147 Norway 0.20 2019
147 Cyprus 0.20 2019
147 Lebanon 0.20 2011
150 Ireland 0.10 2018
150 France 0.10 2018
150 Luxembourg 0.10 2019
150 Germany 0.10 2018
150 Finland 0.10 2019
150 Belgium 0.10 2019
150 Netherlands 0.10 2019
157 Slovenia 0.00 2019
157 United Arab Emirates 0.00 2018
157 Belarus 0.00 2020
157 Switzerland 0.00 2018
157 Czech Republic 0.00 2019
157 Iceland 0.00 2017

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Development Relevance: The World Bank Group is committed to reducing extreme poverty to 3 percent or less, globally, by 2030. Monitoring poverty is important on the global development agenda as well as on the national development agenda of many countries. The World Bank produced its first global poverty estimates for developing countries for World Development Report 1990: Poverty (World Bank 1990) using household survey data for 22 countries (Ravallion, Datt, and van de Walle 1991). Since then there has been considerable expansion in the number of countries that field household income and expenditure surveys. The World Bank's Development Research Group maintains a database that is updated annually as new survey data become available (and thus may contain more recent data or revisions) and conducts a major reassessment of progress against poverty every year. PovcalNet is an interactive computational tool that allows users to replicate these internationally comparable $1.90 and $3.10 a day global, regional and country-level poverty estimates and to compute poverty measures for custom country groupings and for different poverty lines. The Poverty and Equity Data portal provides access to the database and user-friendly dashboards with graphs and interactive maps that visualize trends in key poverty and inequality indicators for different regions and countries. The country dashboards display trends in poverty measures based on the national poverty lines alongside the internationally comparable estimates, produced from and consistent with PovcalNet.

Limitations and Exceptions: Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. Besides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries. However, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.

Statistical Concept and Methodology: International comparisons of poverty estimates entail both conceptual and practical problems. Countries have different definitions of poverty, and consistent comparisons across countries can be difficult. Local poverty lines tend to have higher purchasing power in rich countries, where more generous standards are used, than in poor countries. Since World Development Report 1990, the World Bank has aimed to apply a common standard in measuring extreme poverty, anchored to what poverty means in the world's poorest countries. The welfare of people living in different countries can be measured on a common scale by adjusting for differences in the purchasing power of currencies. The commonly used $1 a day standard, measured in 1985 international prices and adjusted to local currency using purchasing power parities (PPPs), was chosen for World Development Report 1990 because it was typical of the poverty lines in low-income countries at the time. As differences in the cost of living across the world evolve, the international poverty line has to be periodically updated using new PPP price data to reflect these changes. The last change was in October 2015, when we adopted $1.90 as the international poverty line using the 2011 PPP. Prior to that, the 2008 update set the international poverty line at $1.25 using the 2005 PPP. Poverty measures based on international poverty lines attempt to hold the real value of the poverty line constant across countries, as is done when making comparisons over time. The $3.20 poverty line is derived from typical national poverty lines in countries classified as Lower Middle Income. The $5.50 poverty line is derived from typical national poverty lines in countries classified as Upper Middle Income. Early editions of World Development Indicators used PPPs from the Penn World Tables to convert values in local currency to equivalent purchasing power measured in U.S dollars. Later editions used 1993, 2005, and 2011 consumption PPP estimates produced by the World Bank. The current extreme poverty line is set at $1.90 a day in 2011 PPP terms, which represents the mean of the poverty lines found in 15 of the poorest countries ranked by per capita consumption. The new poverty line maintains the same standard for extreme poverty - the poverty line typical of the poorest countries in the world - but updates it using the latest information on the cost of living in developing countries. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. The statistics reported here are based on consumption data or, when unavailable, on income surveys. Analysis of some 20 countries for which income and consumption expenditure data were both available from the same surveys found income to yield a higher mean than consumption but also higher inequality. When poverty measures based on consumption and income were compared, the two effects roughly cancelled each other out: there was no significant statistical difference.

Unit of Measure: %

Periodicity: Annual

General Comments: The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (indu