Data for 2024

Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024

Name: Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024
Creator: World Bank Group
License: https://datacatalog.worldbank.org/public-licenses

2024, as World Bank Group’s 2026 release gives it · stored as published, never rewritten

These are the World Bank’s line-up estimates of the share of people living on less than $3.00 a day: one figure for every country in every year, the numbers the Bank adds up into its regional and world poverty counts. Where a country ran no household survey in a year, the Bank estimates the figure from the surveys it did run.

Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024 covers 171 countries. South Sudan is highest, at 89.54; 14 countries share the lowest reading, 0.00. The middle country reads 2.10. Against 2023, 129 values changed (25 up, 104 down), the same countries are covered.

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Poverty Headcount at $3.00 a Day, Line-up Estimates · Data for 2024

HighestSouth Sudan

89.54

Lowest14 countries share it

0.00

Shaded by value in five groups of equal size, darkest at the lowest end.

171countries
1measure
2024the year it describes
142distinct values2 decimals, as published
Sep 29, 2026read from the publisher
CC BY 4.0licence

01Values only

The table

Every country and every column of Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024, as published. The file carries values only, so no position is shown. “=” marks a shared position.

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Showing 25 of 171 countries · select a heading to sort

Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024: every country, as published by World Bank Group.

South Sudan`SSD`Eastern Africa	89.54	extrapolation	consumption
DR Congo`COD`Middle Africa	82.34	extrapolation	consumption
Mozambique`MOZ`Eastern Africa	81.12	extrapolation	consumption
Malawi`MWI`Eastern Africa	76.14	extrapolation	consumption
Burundi`BDI`Eastern Africa	73.52	extrapolation	consumption
Yemen`YEM`Western Asia	72.08	extrapolation	consumption
Central African Republic`CAF`Middle Africa	72.04	extrapolation	consumption
Zambia`ZMB`Eastern Africa	70.88	extrapolation	consumption
Madagascar`MDG`Eastern Africa	67.65	extrapolation	consumption
Niger`NER`Western Africa	54.96	extrapolation	consumption
Uganda`UGA`Eastern Africa	53.14	extrapolation	consumption
Republic of the Congo`COG`Middle Africa	50.99	extrapolation	consumption
Timor-Leste`TLS`South-eastern Asia	50.46	extrapolation	consumption
Solomon Islands`SLB`Melanesia	48.42	extrapolation	consumption
Zimbabwe`ZWE`Eastern Africa	47.92	extrapolation	consumption
Tanzania`TZA`Eastern Africa	47.02	extrapolation	consumption
Haiti`HTI`Caribbean	46.34	extrapolation	consumption
Papua New Guinea`PNG`Melanesia	44.90	extrapolation	consumption
Lesotho`LSO`Southern Africa	44.89	extrapolation	consumption
Kenya`KEN`Eastern Africa	43.36	extrapolation	consumption
Angola`AGO`Middle Africa	42.12	extrapolation	consumption
Eswatini`SWZ`Southern Africa	41.46	extrapolation	consumption
Sudan`SDN`Northern Africa	41.36	extrapolation	consumption
Nigeria`NGA`Western Africa	40.89	extrapolation	consumption
Burkina Faso`BFA`Western Africa	40.56	extrapolation	consumption
Chad`TCD`Middle Africa	39.94	extrapolation	consumption
Rwanda`RWA`Eastern Africa	37.84	extrapolation	consumption
Guinea-Bissau`GNB`Western Africa	37.16	extrapolation	consumption
Sierra Leone`SLE`Western Africa	35.46	extrapolation	consumption
Mali`MLI`Western Africa	34.38	extrapolation	consumption
Liberia`LBR`Western Africa	33.73	extrapolation	consumption
Ghana`GHA`Western Africa	33.25	extrapolation	consumption
Ethiopia`ETH`Eastern Africa	32.12	extrapolation	consumption
Togo`TGO`Western Africa	31.04	extrapolation	consumption
Cameroon`CMR`Middle Africa	25.90	extrapolation	consumption
Micronesia`FSM`Micronesia	24.64	extrapolation	consumption
Benin`BEN`Western Africa	23.25	extrapolation	consumption
Namibia`NAM`Southern Africa	22.72	extrapolation	consumption
Pakistan`PAK`Southern Asia	22.32	interpolation	consumption
Vanuatu`VUT`Melanesia	22.25	extrapolation	consumption
Syria`SYR`Western Asia	21.13	extrapolation	consumption
Djibouti`DJI`Eastern Africa	19.71	extrapolation	consumption
Botswana`BWA`Southern Africa	18.32	extrapolation	consumption
Gambia`GMB`Western Africa	17.63	extrapolation	consumption
Côte d’Ivoire`CIV`Western Africa	17.60	extrapolation	consumption
South Africa`ZAF`Southern Africa	17.56	extrapolation	consumption
Senegal`SEN`Western Africa	16.30	extrapolation	consumption
Honduras`HND`Central America	15.72	survey	income
Myanmar`MMR`South-eastern Asia	13.96	extrapolation	consumption
São Tomé and Príncipe`STP`Middle Africa	13.16	extrapolation	consumption
Philippines`PHL`South-eastern Asia	10.24	extrapolation	consumption
Equatorial Guinea`GNQ`Middle Africa	9.50	extrapolation	consumption
Cabo Verde`CPV`Western Africa	9.30	extrapolation	consumption
Guatemala`GTM`Central America	9.11	extrapolation	income
Guinea`GIN`Western Africa	8.78	extrapolation	consumption
Mauritania`MRT`Western Africa	8.74	extrapolation	consumption
Colombia`COL`South America	8.50	survey	income
Kosovo`XKX`Southern Europe	7.91	extrapolation	income
Ecuador`ECU`South America	7.32	survey	income
Laos`LAO`South-eastern Asia	7.12	survey	consumption
Lebanon`LBN`Western Asia	6.87	extrapolation	consumption
Tajikistan`TJK`Central Asia	6.13	survey	consumption
Indonesia`IDN`South-eastern Asia	5.40	survey	consumption
Nicaragua`NIC`Central America	5.28	extrapolation	income
Peru`PER`South America	5.14	survey	income
Comoros`COM`Eastern Africa	5.06	survey	consumption
Gabon`GAB`Middle Africa	4.92	extrapolation	consumption
Bangladesh`BGD`Southern Asia	4.81	extrapolation	consumption
Palestine`PSE`Western Asia	4.54	extrapolation	consumption
El Salvador`SLV`Central America	4.34	extrapolation	income
Georgia`GEO`Western Asia	4.23	survey	consumption
Fiji`FJI`Melanesia	3.64	extrapolation	consumption
Sri Lanka`LKA`Southern Asia	3.42	extrapolation	consumption
Nauru`NRU`Micronesia	3.18	extrapolation	consumption
Panama`PAN`Central America	3.12	survey	income
North Macedonia`MKD`Southern Europe	3.10	extrapolation	income
Brazil`BRA`South America	3.01	survey	income
Uzbekistan`UZB`Central Asia	2.72	survey	income
Guyana`GUY`South America	2.61	extrapolation	income
Morocco`MAR`Northern Africa	2.43	extrapolation	consumption
Turkmenistan`TKM`Central Asia	2.40	extrapolation	consumption
Iran`IRN`Southern Asia	2.39	extrapolation	consumption
India`IND`Southern Asia	2.29	extrapolation	consumption
Kyrgyzstan`KGZ`Central Asia	2.18	survey	consumption
Suriname`SUR`South America	2.16	extrapolation	consumption
Paraguay`PRY`South America	2.10	survey	income
Bolivia`BOL`South America	2.05	survey	income
Nepal`NPL`Southern Asia	1.97	extrapolation	consumption
Samoa`WSM`Polynesia	1.92	extrapolation	consumption
Montenegro`MNE`Southern Europe	1.88	extrapolation	income
Marshall Islands`MHL`Micronesia	1.74	extrapolation	consumption
Mexico`MEX`Central America	1.64	survey	income
Barbados`BRB`Caribbean	1.53	extrapolation	consumption
Tuvalu`TUV`Polynesia	1.33	extrapolation	consumption
Vietnam`VNM`South-eastern Asia	1.32	extrapolation	consumption
Costa Rica`CRI`Central America	1.28	survey	income
Egypt`EGY`Northern Africa	1.18	extrapolation	consumption
Jamaica`JAM`Caribbean	1.18	extrapolation	consumption
Lithuania`LTU`Northern Europe	1.08	extrapolation	income
United States`USA`Northern America	1.02	survey	income
Bulgaria`BGR`Eastern Europe	1.00	extrapolation	income
Serbia`SRB`Southern Europe	0.98	extrapolation	income
Argentina`ARG`South America	0.96	survey	income
Japan`JPN`Eastern Asia	0.96	extrapolation	income
Italy`ITA`Southern Europe	0.92	extrapolation	income
Australia`AUS`Australia and New Zealand	0.84	extrapolation	income
Sweden`SWE`Northern Europe	0.83	extrapolation	income
Spain`ESP`Southern Europe	0.80	extrapolation	income
Armenia`ARM`Western Asia	0.78	survey	consumption
Dominican Republic`DOM`Caribbean	0.78	survey	income
Grenada`GRD`Caribbean	0.74	extrapolation	consumption
Hungary`HUN`Eastern Europe	0.71	extrapolation	income
Germany`DEU`Western Europe	0.69	extrapolation	income
Romania`ROU`Eastern Europe	0.68	extrapolation	income
Seychelles`SYC`Eastern Africa	0.66	extrapolation	income
Belize`BLZ`Central America	0.64	extrapolation	consumption
Kiribati`KIR`Micronesia	0.61	extrapolation	consumption
Tunisia`TUN`Northern Africa	0.61	extrapolation	consumption
Iraq`IRQ`Western Asia	0.59	extrapolation	consumption
Austria`AUT`Western Europe	0.52	extrapolation	income
Greece`GRC`Southern Europe	0.50	extrapolation	income
Mauritius`MUS`Eastern Africa	0.48	extrapolation	consumption
Slovakia`SVK`Eastern Europe	0.45	extrapolation	income
Latvia`LVA`Northern Europe	0.44	extrapolation	income
Portugal`PRT`Southern Europe	0.41	extrapolation	income
Chile`CHL`South America	0.40	survey	income
Israel`ISR`Western Asia	0.39	extrapolation	income
Tonga`TON`Polynesia	0.39	extrapolation	consumption
Malta`MLT`Southern Europe	0.38	extrapolation	income
Denmark`DNK`Northern Europe	0.35	extrapolation	income
United Kingdom`GBR`Northern Europe	0.34	extrapolation	income
Estonia`EST`Northern Europe	0.32	extrapolation	income
Croatia`HRV`Southern Europe	0.26	extrapolation	income
Mongolia`MNG`Eastern Asia	0.26	extrapolation	consumption
Poland`POL`Eastern Europe	0.24	extrapolation	income
Jordan`JOR`Western Asia	0.23	extrapolation	consumption
Bosnia and Herzegovina`BIH`Southern Europe	0.22	extrapolation	consumption
Canada`CAN`Northern America	0.22	extrapolation	income
Finland`FIN`Northern Europe	0.20	extrapolation	income
Norway`NOR`Northern Europe	0.19	extrapolation	income
Türkiye`TUR`Western Asia	0.16	extrapolation	income
Uruguay`URY`South America	0.16	survey	income
Russia`RUS`Eastern Europe	0.09	extrapolation	income
Belgium`BEL`Western Europe	0.08	extrapolation	income
Iceland`ISL`Northern Europe	0.08	extrapolation	income
Ireland`IRL`Northern Europe	0.08	extrapolation	income
Luxembourg`LUX`Western Europe	0.08	extrapolation	income
France`FRA`Western Europe	0.07	extrapolation	income
Netherlands`NLD`Western Europe	0.07	extrapolation	income
Albania`ALB`Southern Europe	0.06	extrapolation	consumption
South Korea`KOR`Eastern Asia	0.06	extrapolation	income
Switzerland`CHE`Western Europe	0.06	extrapolation	income
Ukraine`UKR`Eastern Europe	0.04	extrapolation	consumption
Kazakhstan`KAZ`Central Asia	0.02	extrapolation	consumption
Saint Lucia`LCA`Caribbean	0.02	extrapolation	consumption
Cyprus`CYP`Western Asia	0.01	extrapolation	income
Thailand`THA`South-eastern Asia	0.01	survey	consumption
Algeria`DZA`Northern Africa	0.00	extrapolation	consumption
Azerbaijan`AZE`Western Asia	0.00	extrapolation	consumption
Belarus`BLR`Eastern Europe	0.00	extrapolation	consumption
Bhutan`BTN`Southern Asia	0.00	extrapolation	consumption
China`CHN`Eastern Asia	0.00	extrapolation	consumption
Czechia`CZE`Eastern Europe	0.00	extrapolation	income
Malaysia`MYS`South-eastern Asia	0.00	extrapolation	income
Maldives`MDV`Southern Asia	0.00	extrapolation	consumption
Moldova`MDA`Eastern Europe	0.00	survey	consumption
Qatar`QAT`Western Asia	0.00	extrapolation	income
Slovenia`SVN`Southern Europe	0.00	extrapolation	income
Taiwan`TWN`Eastern Asia	0.00	extrapolation	income
Trinidad and Tobago`TTO`Caribbean	0.00	extrapolation	income
United Arab Emirates`ARE`Western Asia	0.00	extrapolation	income

02In 2024

At either end

The 5 countries at each end of the headline.

Highest

South Sudan89.54
DR Congo82.34
Mozambique81.12
Malawi76.14
Burundi73.52

Lowest

Taiwanshared0.00
Trinidad and Tobagoshared0.00
Sloveniashared0.00
Qatarshared0.00
Malaysiashared0.00

A higher value is the worse result. The middle country reads 2.10. “Shared” marks a value another country also holds.

032023 → 2024

Since 2023

+0 / −0countries joined / left
129values changed, of 171 in both
25 · 104rose · fell
42unchanged

Rose most

Sudan33.84 → 41.36+7.52
Timor-Leste43.76 → 50.46+6.70
South Sudan83.22 → 89.54+6.32
Ecuador4.68 → 7.32+2.64
Palestine2.08 → 4.54+2.46

Fell most

Rwanda42.78 → 37.84−4.94
Niger59.01 → 54.96−4.05
Ethiopia34.66 → 32.12−2.54
Benin25.49 → 23.25−2.24
Laos8.90 → 7.12−1.78

04Caveats

Read before you use

How values are stored

One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2024.
142 distinct values among 171
Values are stored exactly as published, to 2 decimals. 14 countries share 0.00. Countries sharing a value share a position too.
Nothing missing
Every one of the 171 countries has every column.

05The files

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What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full

Licence: CC BY 4.0 · what it allows, in plain words

Cite this edition

World Bank Group (2024). Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024 [data set], describing 2024. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-lineup/2024

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