Poverty gap at $1.90 a day (2011 PPP) (%) - Country Ranking

Definition: Poverty gap at $1.90 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $1.90 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. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

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 40.30 2012
2 Dem. Rep. Congo 39.30 2012
3 Central African Republic 32.80 2008
4 Malawi 32.10 2019
5 Burundi 31.10 2013
6 Zambia 30.70 2015
7 Somalia 29.10 2017
8 Mozambique 28.60 2014
9 Angola 22.70 2018
10 Uzbekistan 21.80 2003
11 Rwanda 20.90 2016
12 Turkmenistan 17.90 1998
13 Congo 16.20 2011
14 Tanzania 15.90 2018
15 Suriname 15.20 1999
16 Papua New Guinea 14.80 2009
17 Liberia 14.50 2016
18 Zimbabwe 13.40 2019
19 Uganda 13.00 2019
20 Nigeria 12.50 2018
21 Kenya 11.70 2015
21 Sierra Leone 11.70 2018
23 Niger 11.30 2018
24 Eswatini 9.80 2016
25 Burkina Faso 9.60 2018
26 Lesotho 9.40 2017
27 Chad 9.30 2018
28 Ethiopia 8.90 2015
29 Cameroon 8.40 2014
30 Haiti 8.00 2012
31 Comoros 6.80 2014
31 São Tomé and Principe 6.80 2017
31 Togo 6.80 2018
34 Solomon Islands 6.60 2012
35 South Africa 6.10 2014
36 Belize 6.00 1999
37 Guyana 5.80 1998
38 Guinea-Bissau 5.60 2018
38 Guinea 5.60 2018
38 Djibouti 5.60 2017
41 Colombia 5.40 2020
42 Honduras 5.00 2019
43 Namibia 4.80 2015
44 India 4.60 2011
45 Benin 4.50 2018
46 Ghana 4.40 2016
46 Timor-Leste 4.40 2014
48 Yemen 4.20 2014
49 Botswana 3.90 2015
50 Venezuela 3.80 2006
51 Mali 3.40 2018
52 Nepal 3.00 2010
53 Sudan 2.80 2014
54 St. Lucia 2.60 2016
54 Guatemala 2.60 2014
54 Bangladesh 2.60 2016
57 The Gambia 2.30 2015
58 Ecuador 2.10 2020
58 Vanuatu 2.10 2019
60 Lao PDR 1.80 2018
60 Côte d'Ivoire 1.80 2018
62 Senegal 1.50 2018
62 Bolivia 1.50 2020
64 Peru 1.40 2020
64 Mauritania 1.40 2014
66 North Macedonia 1.20 2018
66 Serbia 1.20 2019
68 Montenegro 1.10 2018
68 Georgia 1.10 2020
70 Italy 1.00 2018
70 Mexico 1.00 2020
72 Costa Rica 0.90 2020
72 Tajikistan 0.90 2015
74 Trinidad and Tobago 0.80 1992
74 United States 0.80 2019
74 Gabon 0.80 2017
74 Nicaragua 0.80 2014
78 Cabo Verde 0.70 2015
78 Romania 0.70 2019
80 Spain 0.60 2019
80 Egypt 0.60 2017
80 Brazil 0.60 2020
83 Argentina 0.50 2020
83 Philippines 0.50 2018
83 Austria 0.50 2019
86 Chile 0.40 2020
86 Lithuania 0.40 2019
86 Panama 0.40 2019
86 Pakistan 0.40 2018
86 Australia 0.40 2018
86 Jamaica 0.40 2004
86 Greece 0.40 2019
86 Tuvalu 0.40 2010
94 Vietnam 0.30 2018
94 Estonia 0.30 2019
94 Bulgaria 0.30 2019
94 Iraq 0.30 2012
94 Indonesia 0.30 2021
94 Fiji 0.30 2019
94 Dominican Republic 0.30 2020
101 Japan 0.20 2013
101 Latvia 0.20 2019
101 Morocco 0.20 2013
101 Israel 0.20 2018
101 Myanmar 0.20 2017
101 Paraguay 0.20 2020
101 El Salvador 0.20 2019
101 Sweden 0.20 2019
101 Tonga 0.20 2015
101 Kyrgyz Republic 0.20 2020
101 Kiribati 0.20 2019
101 Bhutan 0.20 2017
101 Cyprus 0.20 2019
101 Denmark 0.20 2019
101 Algeria 0.20 2011
101 Croatia 0.20 2019
101 United Kingdom 0.20 2017
118 Canada 0.10 2017
118 Armenia 0.10 2020
118 Belgium 0.10 2019
118 Norway 0.10 2019
118 Portugal 0.10 2019
118 Sri Lanka 0.10 2016
118 Nauru 0.10 2012
118 Malta 0.10 2019
118 Mongolia 0.10 2018
118 Samoa 0.10 2013
118 Poland 0.10 2018
118 Luxembourg 0.10 2019
118 Iran 0.10 2019
118 Hungary 0.10 2019
118 Uruguay 0.10 2020
118 Seychelles 0.10 2018
118 Syrian Arab Republic 0.10 2003
135 Tunisia 0.00 2015
135 Ukraine 0.00 2020
135 France 0.00 2018
135 Czech Republic 0.00 2019
135 Iceland 0.00 2017
135 Ireland 0.00 2018
135 Kazakhstan 0.00 2018
135 Jordan 0.00 2010
135 Moldova 0.00 2019
135 Lebanon 0.00 2011
135 Malaysia 0.00 2015
135 Turkey 0.00 2019
135 Thailand 0.00 2020
135 Slovak Republic 0.00 2019
135 Slovenia 0.00 2019
135 Mauritius 0.00 2017
135 Netherlands 0.00 2019
135 Korea 0.00 2016
135 Russia 0.00 2020
135 Albania 0.00 2019
135 United Arab Emirates 0.00 2018
135 Azerbaijan 0.00 2005
135 Bosnia and Herzegovina 0.00 2011
135 Belarus 0.00 2020
135 Switzerland 0.00 2018
135 China 0.00 2019
135 Germany 0.00 2018
135 Finland 0.00 2019

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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, $3.20 and $5.50 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