Poverty gap at $3.20 a day (2011 PPP) (%) - Country Ranking

Definition: Poverty gap at $3.20 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.20 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 59.10 2012
2 Dem. Rep. Congo 58.10 2012
3 Malawi 53.10 2019
4 Burundi 52.20 2013
5 Central African Republic 50.30 2008
6 Somalia 50.10 2017
7 Mozambique 47.30 2014
8 Zambia 45.70 2015
9 Uzbekistan 44.10 2003
10 Rwanda 41.00 2016
11 Angola 38.70 2018
12 Turkmenistan 36.90 1998
13 Tanzania 36.00 2018
14 Liberia 33.90 2016
15 Sierra Leone 32.20 2018
16 Niger 31.50 2018
17 Congo 31.00 2011
17 Uganda 31.00 2019
19 Nigeria 30.50 2018
20 Papua New Guinea 30.20 2009
21 Zimbabwe 29.50 2019
22 Kenya 28.60 2015
23 Chad 26.50 2018
24 Burkina Faso 25.90 2018
25 Ethiopia 25.70 2015
26 Eswatini 22.90 2016
27 Lesotho 21.60 2017
28 Timor-Leste 21.20 2014
28 São Tomé and Principe 21.20 2017
30 Solomon Islands 21.00 2012
30 Guinea-Bissau 21.00 2018
32 Guinea 20.70 2018
33 India 20.60 2011
34 Suriname 20.40 1999
35 Cameroon 20.10 2014
36 Haiti 20.00 2012
37 Togo 19.70 2018
38 Benin 17.20 2018
39 Yemen 16.70 2014
40 Comoros 16.20 2014
41 Mali 15.80 2018
41 Nepal 15.80 2010
43 Bangladesh 15.30 2016
44 South Africa 15.10 2014
45 Djibouti 14.70 2017
46 Sudan 13.00 2014
47 Botswana 12.90 2015
48 Honduras 11.90 2019
48 Namibia 11.90 2015
50 Belize 11.70 1999
51 Ghana 11.20 2016
52 The Gambia 11.00 2015
53 Lao PDR 10.80 2018
54 Guyana 10.40 1998
55 Côte d'Ivoire 9.90 2018
56 Vanuatu 9.60 2019
57 Senegal 9.30 2018
57 Colombia 9.30 2020
59 Guatemala 8.30 2014
60 Pakistan 7.30 2018
61 Mauritania 6.70 2014
62 Venezuela 6.40 2006
63 Egypt 6.30 2017
64 Ecuador 5.30 2020
65 Georgia 4.80 2020
66 St. Lucia 4.60 2016
67 Tajikistan 4.50 2015
67 Peru 4.50 2020
69 Tuvalu 4.30 2010
70 Cabo Verde 4.20 2015
71 Indonesia 4.00 2021
72 Philippines 3.90 2018
73 Nicaragua 3.50 2014
73 Bolivia 3.50 2020
73 Trinidad and Tobago 3.50 1992
76 Gabon 3.20 2017
77 Kiribati 3.10 2019
77 Mexico 3.10 2020
77 Fiji 3.10 2019
80 Iraq 3.00 2012
81 Kyrgyz Republic 2.90 2020
81 Nauru 2.90 2012
81 Myanmar 2.90 2017
84 North Macedonia 2.70 2018
85 Bhutan 2.60 2017
86 Montenegro 2.50 2018
87 Jamaica 2.20 2004
88 Sri Lanka 2.10 2016
89 Costa Rica 2.00 2020
89 Syrian Arab Republic 2.00 2003
89 Samoa 2.00 2013
92 Serbia 1.90 2019
93 Vietnam 1.80 2018
94 Argentina 1.70 2020
94 Romania 1.70 2019
96 Morocco 1.50 2013
96 Brazil 1.50 2020
96 Tonga 1.50 2015
99 El Salvador 1.40 2019
99 Panama 1.40 2019
101 Italy 1.30 2018
102 Armenia 1.20 2020
103 Paraguay 1.10 2020
104 Iran 1.00 2019
105 Dominican Republic 0.90 2020
105 Bulgaria 0.90 2019
105 Mongolia 0.90 2018
105 United States 0.90 2019
109 Greece 0.70 2019
109 Algeria 0.70 2011
109 Spain 0.70 2019
112 Austria 0.60 2019
112 Chile 0.60 2020
112 Tunisia 0.60 2015
115 Lithuania 0.50 2019
115 Estonia 0.50 2019
115 Australia 0.50 2018
115 Turkey 0.50 2019
119 Mauritius 0.40 2017
119 Japan 0.40 2013
119 Seychelles 0.40 2018
122 Jordan 0.30 2010
122 Israel 0.30 2018
122 Latvia 0.30 2019
122 Hungary 0.30 2019
122 Croatia 0.30 2019
122 United Kingdom 0.30 2017
122 Sweden 0.30 2019
129 Uruguay 0.20 2020
129 China 0.20 2019
129 Denmark 0.20 2019
129 Canada 0.20 2017
129 Cyprus 0.20 2019
129 Malta 0.20 2019
129 Norway 0.20 2019
129 Albania 0.20 2019
129 Poland 0.20 2018
138 Portugal 0.10 2019
138 Moldova 0.10 2019
138 Slovak Republic 0.10 2019
138 Luxembourg 0.10 2019
138 Netherlands 0.10 2019
138 Korea 0.10 2016
138 Bosnia and Herzegovina 0.10 2011
138 Belgium 0.10 2019
146 United Arab Emirates 0.00 2018
146 Azerbaijan 0.00 2005
146 Belarus 0.00 2020
146 Germany 0.00 2018
146 Switzerland 0.00 2018
146 Finland 0.00 2019
146 Lebanon 0.00 2011
146 Kazakhstan 0.00 2018
146 Iceland 0.00 2017
146 Ireland 0.00 2018
146 France 0.00 2018
146 Czech Republic 0.00 2019
146 Slovenia 0.00 2019
146 Malaysia 0.00 2015
146 Russia 0.00 2020
146 Ukraine 0.00 2020
146 Thailand 0.00 2020

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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