Poverty headcount ratio at $3.20 a day (2011 PPP) (% of population) - Country Ranking

Definition: Poverty headcount ratio at $3.20 a day is the percentage of the population living on less than $3.20 a day at 2011 international prices. 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 91.50 2012
2 Dem. Rep. Congo 91.40 2012
3 Malawi 90.40 2019
4 Burundi 89.60 2013
5 Somalia 88.90 2017
6 Uzbekistan 86.20 2003
7 Central African Republic 82.90 2008
8 Mozambique 82.40 2014
9 Rwanda 80.30 2016
10 Tanzania 76.80 2018
11 Sierra Leone 76.00 2018
12 Liberia 75.60 2016
13 Turkmenistan 75.40 1998
13 Zambia 75.40 2015
15 Niger 75.20 2018
16 Angola 71.50 2018
17 Nigeria 71.00 2018
18 Uganda 70.50 2019
19 Ethiopia 68.90 2015
20 Kenya 66.50 2015
21 Chad 66.40 2018
22 Timor-Leste 65.90 2014
23 Papua New Guinea 65.60 2009
24 Congo 64.10 2011
25 Zimbabwe 63.80 2019
26 Burkina Faso 61.80 2018
27 India 61.70 2011
28 Guinea 60.40 2018
29 Guinea-Bissau 59.50 2018
30 Solomon Islands 58.10 2012
31 São Tomé and Principe 57.00 2017
32 Bangladesh 52.30 2016
33 Eswatini 52.10 2016
34 Togo 51.80 2018
35 Benin 51.30 2018
36 Yemen 51.20 2014
37 Nepal 50.80 2010
38 Haiti 50.30 2012
39 Lesotho 49.90 2017
40 Mali 49.50 2018
41 Cameroon 47.00 2014
42 Sudan 44.00 2014
43 Djibouti 39.80 2017
44 Comoros 39.70 2014
45 The Gambia 38.40 2015
46 Lao PDR 37.40 2018
47 South Africa 37.30 2014
48 Botswana 36.50 2015
49 Côte d'Ivoire 34.90 2018
50 Pakistan 34.40 2018
51 Suriname 34.20 1999
52 Senegal 34.00 2018
53 Vanuatu 32.30 2019
54 Namibia 30.30 2015
55 Ghana 29.30 2016
56 Honduras 29.00 2019
57 Egypt 28.90 2017
58 Belize 27.70 1999
59 Guatemala 24.40 2014
60 Mauritania 24.10 2014
61 Guyana 24.00 1998
62 Colombia 19.90 2020
63 Indonesia 18.00 2021
64 Tajikistan 17.80 2015
65 Tuvalu 17.60 2010
66 Georgia 17.00 2020
66 Philippines 17.00 2018
68 Kyrgyz Republic 16.20 2020
68 Kiribati 16.20 2019
70 Cabo Verde 15.40 2015
71 Myanmar 15.00 2017
72 Iraq 14.80 2012
73 Fiji 14.50 2019
74 Venezuela 14.30 2006
75 Ecuador 14.20 2020
76 Peru 14.10 2020
77 Nauru 13.20 2012
78 Nicaragua 13.10 2014
79 Trinidad and Tobago 12.50 1992
80 Bhutan 12.20 2017
81 Gabon 11.20 2017
82 Sri Lanka 11.00 2016
83 St. Lucia 10.20 2016
83 Syrian Arab Republic 10.20 2003
85 Mexico 9.80 2020
86 Samoa 9.60 2013
87 Bolivia 9.00 2020
88 Jamaica 8.80 2004
89 Tonga 7.50 2015
90 Morocco 7.30 2013
91 North Macedonia 7.10 2018
92 Armenia 6.90 2020
93 Vietnam 6.60 2018
94 Montenegro 6.40 2018
95 Argentina 5.80 2020
96 Costa Rica 5.70 2020
96 El Salvador 5.70 2019
98 Mongolia 5.00 2018
99 Paraguay 4.70 2020
100 Panama 4.60 2019
101 Iran 4.30 2019
101 Brazil 4.30 2020
103 Romania 4.10 2019
104 Serbia 4.00 2019
104 Dominican Republic 4.00 2020
106 Algeria 3.70 2011
107 Tunisia 3.00 2015
108 Bulgaria 2.60 2019
109 Mauritius 2.20 2017
109 Turkey 2.20 2019
111 Italy 2.10 2018
112 Jordan 2.00 2010
113 China 1.70 2019
114 Chile 1.40 2020
115 Greece 1.30 2019
116 Spain 1.20 2019
116 Albania 1.20 2019
118 Seychelles 1.10 2018
119 United States 1.00 2019
119 Israel 1.00 2018
121 Japan 0.90 2013
122 Estonia 0.80 2019
123 Bosnia and Herzegovina 0.70 2011
123 Hungary 0.70 2019
123 Australia 0.70 2018
123 Austria 0.70 2019
123 Latvia 0.70 2019
123 Lithuania 0.70 2019
123 Uruguay 0.70 2020
130 Croatia 0.60 2019
131 Canada 0.50 2017
131 United Kingdom 0.50 2017
131 Moldova 0.50 2019
134 Sweden 0.40 2019
134 Poland 0.40 2018
134 Malta 0.40 2019
134 Slovak Republic 0.40 2019
138 Russia 0.30 2020
138 Denmark 0.30 2019
138 Thailand 0.30 2020
138 Malaysia 0.30 2015
142 Kazakhstan 0.20 2018
142 Cyprus 0.20 2019
142 Germany 0.20 2018
142 Portugal 0.20 2019
142 Norway 0.20 2019
142 Korea 0.20 2016
148 Netherlands 0.10 2019
148 Finland 0.10 2019
148 Belgium 0.10 2019
148 Lebanon 0.10 2011
148 France 0.10 2018
148 Ireland 0.10 2018
148 Luxembourg 0.10 2019
148 Ukraine 0.10 2020
156 Slovenia 0.00 2019
156 Iceland 0.00 2017
156 Czech Republic 0.00 2019
156 Azerbaijan 0.00 2005
156 United Arab Emirates 0.00 2018
156 Switzerland 0.00 2018
156 Belarus 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, $3.20, $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