Data for 2021

Poverty Headcount at $3.00 a Day, Line-up Estimates, 2021

Name: Poverty Headcount at $3.00 a Day, Line-up Estimates, 2021
Creator: World Bank Group
License: https://datacatalog.worldbank.org/public-licenses

2021, 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, 2021 covers 171 countries. DR Congo is highest, at 84.81; 10 countries share the lowest reading, 0.00. The middle country reads 2.96. Against 2020, 156 values changed (46 up, 110 down), the same countries are covered.

Download CSV Cite this year

Share this page

Poverty Headcount at $3.00 a Day, Line-up Estimates · Data for 2021

HighestDR Congo

84.81

Lowest10 countries share it

0.00

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

171countries
1measure
2021the year it describes
139distinct 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, 2021, as published. The file carries values only, so no position is shown. “=” marks a shared position.

Search this table

Showing 25 of 171 countries · select a heading to sort

Poverty Headcount at $3.00 a Day, Line-up Estimates, 2021: every country, as published by World Bank Group.

DR Congo`COD`Middle Africa	84.81	extrapolation	consumption
Mozambique`MOZ`Eastern Africa	81.75	interpolation	consumption
South Sudan`SSD`Eastern Africa	81.28	extrapolation	consumption
Malawi`MWI`Eastern Africa	75.28	extrapolation	consumption
Burundi`BDI`Eastern Africa	73.98	extrapolation	consumption
Zambia`ZMB`Eastern Africa	71.65	interpolation	consumption
Central African Republic`CAF`Middle Africa	71.61	survey	consumption
Madagascar`MDG`Eastern Africa	69.51	interpolation	consumption
Yemen`YEM`Western Asia	67.92	extrapolation	consumption
Niger`NER`Western Africa	62.12	interpolation	consumption
Uganda`UGA`Eastern Africa	57.85	interpolation	consumption
Rwanda`RWA`Eastern Africa	52.17	interpolation	consumption
Republic of the Congo`COG`Middle Africa	50.70	extrapolation	consumption
Zimbabwe`ZWE`Eastern Africa	50.34	extrapolation	consumption
Tanzania`TZA`Eastern Africa	49.59	extrapolation	consumption
Papua New Guinea`PNG`Melanesia	47.20	extrapolation	consumption
Kenya`KEN`Eastern Africa	46.45	survey	consumption
Lesotho`LSO`Southern Africa	46.16	extrapolation	consumption
Solomon Islands`SLB`Melanesia	46.00	extrapolation	consumption
Eswatini`SWZ`Southern Africa	43.03	extrapolation	consumption
Burkina Faso`BFA`Western Africa	42.61	interpolation	consumption
Haiti`HTI`Caribbean	42.30	extrapolation	consumption
Angola`AGO`Middle Africa	42.28	extrapolation	consumption
Chad`TCD`Middle Africa	41.14	interpolation	consumption
Nigeria`NGA`Western Africa	41.02	interpolation	consumption
Sierra Leone`SLE`Western Africa	39.98	extrapolation	consumption
Guinea-Bissau`GNB`Western Africa	39.62	interpolation	consumption
Ethiopia`ETH`Eastern Africa	38.64	survey	consumption
Liberia`LBR`Western Africa	36.80	extrapolation	consumption
Ghana`GHA`Western Africa	35.54	extrapolation	consumption
Togo`TGO`Western Africa	35.42	interpolation	consumption
Mali`MLI`Western Africa	35.36	interpolation	consumption
Benin`BEN`Western Africa	29.67	interpolation	consumption
Cameroon`CMR`Middle Africa	26.91	interpolation	consumption
Namibia`NAM`Southern Africa	25.04	extrapolation	consumption
Kosovo`XKX`Southern Europe	24.98	survey	income
Micronesia`FSM`Micronesia	23.46	extrapolation	consumption
Djibouti`DJI`Eastern Africa	22.94	extrapolation	consumption
Vanuatu`VUT`Melanesia	22.72	extrapolation	consumption
Côte d’Ivoire`CIV`Western Africa	21.30	interpolation	consumption
Gambia`GMB`Western Africa	20.76	extrapolation	consumption
South Africa`ZAF`Southern Africa	20.00	interpolation	consumption
Timor-Leste`TLS`South-eastern Asia	19.58	extrapolation	consumption
Botswana`BWA`Southern Africa	19.44	extrapolation	consumption
Pakistan`PAK`Southern Asia	19.14	interpolation	consumption
Honduras`HND`Central America	18.76	interpolation	income
Syria`SYR`Western Asia	18.12	interpolation	consumption
Senegal`SEN`Western Africa	18.06	interpolation	consumption
Sudan`SDN`Northern Africa	16.88	extrapolation	consumption
Philippines`PHL`South-eastern Asia	15.70	survey	consumption
Myanmar`MMR`South-eastern Asia	14.21	extrapolation	consumption
Cabo Verde`CPV`Western Africa	14.20	extrapolation	consumption
Laos`LAO`South-eastern Asia	12.18	interpolation	consumption
São Tomé and Príncipe`STP`Middle Africa	12.16	extrapolation	consumption
Colombia`COL`South America	11.23	survey	income
Mauritania`MRT`Western Africa	11.05	extrapolation	consumption
Georgia`GEO`Western Asia	10.79	survey	consumption
Guinea`GIN`Western Africa	10.13	extrapolation	consumption
Guatemala`GTM`Central America	9.73	interpolation	income
Equatorial Guinea`GNQ`Middle Africa	9.27	extrapolation	consumption
Tajikistan`TJK`Central Asia	9.06	survey	consumption
Indonesia`IDN`South-eastern Asia	8.56	survey	consumption
Fiji`FJI`Melanesia	8.28	extrapolation	consumption
India`IND`Southern Asia	8.13	interpolation	consumption
Comoros`COM`Eastern Africa	8.12	interpolation	consumption
Brazil`BRA`South America	7.46	survey	income
Bangladesh`BGD`Southern Asia	7.22	interpolation	consumption
Nicaragua`NIC`Central America	5.88	extrapolation	income
Kyrgyzstan`KGZ`Central Asia	5.65	survey	consumption
Ecuador`ECU`South America	5.28	survey	income
Peru`PER`South America	5.19	survey	income
El Salvador`SLV`Central America	5.13	survey	income
Gabon`GAB`Middle Africa	4.76	extrapolation	consumption
Nauru`NRU`Micronesia	4.62	extrapolation	consumption
Uzbekistan`UZB`Central Asia	4.38	survey	income
Samoa`WSM`Polynesia	4.26	extrapolation	consumption
Guyana`GUY`South America	4.09	extrapolation	income
Iran`IRN`Southern Asia	3.92	interpolation	consumption
Lebanon`LBN`Western Asia	3.88	interpolation	consumption
North Macedonia`MKD`Southern Europe	3.64	extrapolation	income
Panama`PAN`Central America	3.30	survey	income
Turkmenistan`TKM`Central Asia	3.20	extrapolation	consumption
Nepal`NPL`Southern Asia	3.08	interpolation	consumption
Bolivia`BOL`South America	3.06	survey	income
Mexico`MEX`Central America	3.04	interpolation	income
Sri Lanka`LKA`Southern Asia	2.96	extrapolation	consumption
Morocco`MAR`Northern Africa	2.94	extrapolation	consumption
Tuvalu`TUV`Polynesia	2.70	extrapolation	consumption
Kiribati`KIR`Micronesia	2.68	interpolation	consumption
Montenegro`MNE`Southern Europe	2.48	survey	income
Suriname`SUR`South America	2.17	extrapolation	consumption
Costa Rica`CRI`Central America	2.16	survey	income
Palestine`PSE`Western Asia	2.14	interpolation	consumption
Armenia`ARM`Western Asia	2.12	survey	consumption
Marshall Islands`MHL`Micronesia	1.98	extrapolation	consumption
Paraguay`PRY`South America	1.86	survey	income
Serbia`SRB`Southern Europe	1.69	survey	income
Barbados`BRB`Caribbean	1.68	extrapolation	consumption
Vietnam`VNM`South-eastern Asia	1.64	interpolation	consumption
Egypt`EGY`Northern Africa	1.55	interpolation	consumption
Jamaica`JAM`Caribbean	1.38	survey	consumption
Argentina`ARG`South America	1.36	survey	income
Dominican Republic`DOM`Caribbean	1.27	survey	income
Bulgaria`BGR`Eastern Europe	1.22	survey	income
Japan`JPN`Eastern Asia	1.11	extrapolation	income
Chile`CHL`South America	1.08	interpolation	income
Belize`BLZ`Central America	0.94	extrapolation	consumption
Bhutan`BTN`Southern Asia	0.94	interpolation	consumption
Grenada`GRD`Caribbean	0.94	extrapolation	consumption
Türkiye`TUR`Western Asia	0.94	survey	income
Australia`AUS`Australia and New Zealand	0.86	extrapolation	income
Italy`ITA`Southern Europe	0.86	survey	income
Hungary`HUN`Eastern Europe	0.82	extrapolation	income
Mongolia`MNG`Eastern Asia	0.81	interpolation	consumption
Greece`GRC`Southern Europe	0.70	survey	income
Tunisia`TUN`Northern Africa	0.67	interpolation	consumption
Mauritius`MUS`Eastern Africa	0.66	extrapolation	consumption
Spain`ESP`Southern Europe	0.66	survey	income
Seychelles`SYC`Eastern Africa	0.64	extrapolation	income
Sweden`SWE`Northern Europe	0.64	survey	income
Iraq`IRQ`Western Asia	0.60	interpolation	consumption
Germany`DEU`Western Europe	0.58	survey	income
Israel`ISR`Western Asia	0.56	survey	income
Austria`AUT`Western Europe	0.48	survey	income
Latvia`LVA`Northern Europe	0.48	survey	income
Tonga`TON`Polynesia	0.41	survey	consumption
Croatia`HRV`Southern Europe	0.34	survey	income
Estonia`EST`Northern Europe	0.34	survey	income
Slovakia`SVK`Eastern Europe	0.34	survey	income
United Kingdom`GBR`Northern Europe	0.34	survey	income
Albania`ALB`Southern Europe	0.33	extrapolation	consumption
Lithuania`LTU`Northern Europe	0.32	survey	income
Portugal`PRT`Southern Europe	0.32	survey	income
United States`USA`Northern America	0.28	survey	income
Bosnia and Herzegovina`BIH`Southern Europe	0.26	survey	consumption
Jordan`JOR`Western Asia	0.25	extrapolation	consumption
Russia`RUS`Eastern Europe	0.22	survey	income
Canada`CAN`Northern America	0.16	survey	income
Moldova`MDA`Eastern Europe	0.16	survey	consumption
Norway`NOR`Northern Europe	0.16	survey	income
Denmark`DNK`Northern Europe	0.15	survey	income
Uruguay`URY`South America	0.15	survey	income
Ireland`IRL`Northern Europe	0.13	survey	income
Malta`MLT`Southern Europe	0.12	survey	income
Poland`POL`Eastern Europe	0.12	survey	income
Netherlands`NLD`Western Europe	0.10	survey	income
Iceland`ISL`Northern Europe	0.08	extrapolation	income
Luxembourg`LUX`Western Europe	0.08	survey	income
Saint Lucia`LCA`Caribbean	0.08	extrapolation	consumption
South Korea`KOR`Eastern Asia	0.08	survey	income
France`FRA`Western Europe	0.07	survey	income
Czechia`CZE`Eastern Europe	0.06	survey	income
Belgium`BEL`Western Europe	0.04	survey	income
Cyprus`CYP`Western Asia	0.04	survey	income
Kazakhstan`KAZ`Central Asia	0.04	survey	consumption
Switzerland`CHE`Western Europe	0.04	survey	income
Ukraine`UKR`Eastern Europe	0.04	extrapolation	consumption
Thailand`THA`South-eastern Asia	0.03	survey	consumption
Finland`FIN`Northern Europe	0.02	survey	income
Malaysia`MYS`South-eastern Asia	0.02	interpolation	income
Taiwan`TWN`Eastern Asia	0.01	survey	income
Algeria`DZA`Northern Africa	0.00	extrapolation	consumption
Azerbaijan`AZE`Western Asia	0.00	extrapolation	consumption
Belarus`BLR`Eastern Europe	0.00	extrapolation	consumption
China`CHN`Eastern Asia	0.00	survey	consumption
Maldives`MDV`Southern Asia	0.00	extrapolation	consumption
Qatar`QAT`Western Asia	0.00	extrapolation	income
Romania`ROU`Eastern Europe	0.00	survey	consumption
Slovenia`SVN`Southern Europe	0.00	survey	income
Trinidad and Tobago`TTO`Caribbean	0.00	extrapolation	income
United Arab Emirates`ARE`Western Asia	0.00	extrapolation	income

02In 2021

At either end

The 5 countries at each end of the headline.

Highest

DR Congo84.81
Mozambique81.75
South Sudan81.28
Malawi75.28
Burundi73.98

Lowest

Trinidad and Tobagoshared0.00
Sloveniashared0.00
Romaniashared0.00
Qatarshared0.00
Maldivesshared0.00

A higher value is the worse result. The middle country reads 2.96. “Shared” marks a value another country also holds.

032020 → 2021

Since 2020

+0 / −0countries joined / left
156values changed, of 171 in both
46 · 110rose · fell
15unchanged

Rose most

Kosovo16.78 → 24.98+8.20
Brazil2.76 → 7.46+4.70
Lebanon0.62 → 3.88+3.26
Myanmar11.29 → 14.21+2.92
Kenya44.43 → 46.45+2.02

Fell most

Rwanda58.22 → 52.17−6.05
Peru10.31 → 5.19−5.12
Colombia15.77 → 11.23−4.54
Kyrgyzstan9.38 → 5.65−3.73
Benin33.26 → 29.67−3.59

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 2021.
139 distinct values among 171
Values are stored exactly as published, to 2 decimals. 10 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

Download and cite

Licence in full

.csv
For a spreadsheet or code
171 rows · 8.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download poverty-headcount-lineup-2021-nations-inquiry.csv
↗
The publisher’s original
World Bank Group’s own file, on its own site.
pip

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 (2021). Poverty Headcount at $3.00 a Day, Line-up Estimates, 2021 [data set], describing 2021. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-lineup/2021

0644 held

Other years

‹ The year before
Poverty Headcount at $3.00 a Day, Line-up Estimates, 2020
171 countries
The year after ›
Poverty Headcount at $3.00 a Day, Line-up Estimates, 2022
171 countries
All of them
Poverty Headcount at $3.00 a Day, Line-up Estimates: every year
44 held, with the data dictionary, coverage and licence.
How it has moved, charted by country

This edition

The same ranking, cut differently

Behind the number

Browse

By continent

Much-read profiles

Every subject

The numbers

Reading the data