Data for 1990

Poverty Headcount at $3.00 a Day, Line-up Estimates, 1990

Name: Poverty Headcount at $3.00 a Day, Line-up Estimates, 1990
Creator: World Bank Group
License: https://datacatalog.worldbank.org/public-licenses

1990, 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, 1990 covers 170 countries. Equatorial Guinea is highest, at 99.69; 14 countries share the lowest reading, 0.00. The middle country reads 16.10. Against 1989, 147 values changed (76 up, 71 down), 1 country joined.

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Poverty Headcount at $3.00 a Day, Line-up Estimates · Data for 1990

HighestEquatorial Guinea

99.69

Lowest14 countries share it

0.00

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

170countries
1measure
1990the year it describes
151distinct 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, 1990, as published. The file carries values only, so no position is shown. “=” marks a shared position.

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Showing 25 of 170 countries · select a heading to sort

Poverty Headcount at $3.00 a Day, Line-up Estimates, 1990: every country, as published by World Bank Group.

Equatorial Guinea`GNQ`Middle Africa	99.69	extrapolation	consumption
Myanmar`MMR`South-eastern Asia	93.17	extrapolation	consumption
Mali`MLI`Western Africa	90.35	extrapolation	consumption
Eswatini`SWZ`Southern Africa	89.73	extrapolation	consumption
Mozambique`MOZ`Eastern Africa	88.44	extrapolation	consumption
Burkina Faso`BFA`Western Africa	88.32	extrapolation	consumption
Niger`NER`Western Africa	86.52	extrapolation	consumption
Guinea`GIN`Western Africa	86.10	extrapolation	consumption
Burundi`BDI`Eastern Africa	85.26	extrapolation	consumption
China`CHN`Eastern Asia	83.11	survey	consumption
DR Congo`COD`Middle Africa	82.82	extrapolation	consumption
Central African Republic`CAF`Middle Africa	82.72	extrapolation	consumption
Rwanda`RWA`Eastern Africa	82.55	extrapolation	consumption
Timor-Leste`TLS`South-eastern Asia	81.90	extrapolation	consumption
Pakistan`PAK`Southern Asia	79.65	interpolation	consumption
Ghana`GHA`Western Africa	79.04	interpolation	consumption
Indonesia`IDN`South-eastern Asia	78.59	survey	consumption
Senegal`SEN`Western Africa	77.20	extrapolation	consumption
Gambia`GMB`Western Africa	76.88	extrapolation	consumption
Benin`BEN`Western Africa	76.32	extrapolation	consumption
Nepal`NPL`Southern Asia	76.24	extrapolation	consumption
Madagascar`MDG`Eastern Africa	76.02	interpolation	consumption
Uganda`UGA`Eastern Africa	74.78	interpolation	consumption
Tanzania`TZA`Eastern Africa	72.88	extrapolation	consumption
Ethiopia`ETH`Eastern Africa	72.61	extrapolation	consumption
Uzbekistan`UZB`Central Asia	72.00	extrapolation	consumption
Papua New Guinea`PNG`Melanesia	71.52	extrapolation	consumption
Malawi`MWI`Eastern Africa	70.58	extrapolation	consumption
Chad`TCD`Middle Africa	70.08	extrapolation	consumption
Haiti`HTI`Caribbean	67.87	extrapolation	income
Cabo Verde`CPV`Western Africa	67.32	extrapolation	consumption
Sierra Leone`SLE`Western Africa	65.63	extrapolation	consumption
Togo`TGO`Western Africa	64.11	extrapolation	consumption
Vietnam`VNM`South-eastern Asia	63.72	extrapolation	consumption
Zambia`ZMB`Eastern Africa	62.54	extrapolation	consumption
Solomon Islands`SLB`Melanesia	61.98	extrapolation	consumption
Lesotho`LSO`Southern Africa	61.35	interpolation	consumption
Namibia`NAM`Southern Africa	60.92	extrapolation	income
Liberia`LBR`Western Africa	56.14	extrapolation	consumption
Mauritania`MRT`Western Africa	52.76	interpolation	consumption
Nigeria`NGA`Western Africa	52.70	interpolation	consumption
Honduras`HND`Central America	51.68	survey	income
Guinea-Bissau`GNB`Western Africa	51.60	extrapolation	consumption
Republic of the Congo`COG`Middle Africa	51.27	extrapolation	consumption
Bangladesh`BGD`Southern Asia	51.12	interpolation	consumption
India`IND`Southern Asia	49.38	interpolation	consumption
Bhutan`BTN`Southern Asia	46.88	extrapolation	consumption
Cameroon`CMR`Middle Africa	45.69	extrapolation	consumption
Saint Lucia`LCA`Caribbean	43.96	extrapolation	income
Laos`LAO`South-eastern Asia	43.78	extrapolation	consumption
South Africa`ZAF`Southern Africa	43.12	extrapolation	consumption
Guyana`GUY`South America	41.52	extrapolation	income
Maldives`MDV`Southern Asia	41.26	extrapolation	consumption
Botswana`BWA`Southern Africa	40.37	interpolation	consumption
Philippines`PHL`South-eastern Asia	39.55	interpolation	consumption
Guatemala`GTM`Central America	33.68	interpolation	income
Kenya`KEN`Eastern Africa	30.45	extrapolation	consumption
Brazil`BRA`South America	30.34	survey	income
Nicaragua`NIC`Central America	29.86	extrapolation	consumption
Sudan`SDN`Northern Africa	29.62	extrapolation	consumption
Côte d’Ivoire`CIV`Western Africa	28.73	interpolation	consumption
Panama`PAN`Central America	28.55	interpolation	income
Vanuatu`VUT`Melanesia	28.47	extrapolation	consumption
El Salvador`SLV`Central America	26.46	interpolation	income
Belize`BLZ`Central America	26.40	extrapolation	income
Zimbabwe`ZWE`Eastern Africa	25.38	extrapolation	consumption
Sri Lanka`LKA`Southern Asia	23.98	interpolation	consumption
Comoros`COM`Eastern Africa	23.82	extrapolation	consumption
Angola`AGO`Middle Africa	23.24	extrapolation	consumption
Ecuador`ECU`South America	22.91	extrapolation	income
Kiribati`KIR`Micronesia	22.20	extrapolation	consumption
Bolivia`BOL`South America	22.04	extrapolation	income
Tajikistan`TJK`Central Asia	21.92	extrapolation	consumption
Iran`IRN`Southern Asia	21.62	survey	consumption
Thailand`THA`South-eastern Asia	21.05	survey	consumption
Djibouti`DJI`Eastern Africa	20.48	extrapolation	consumption
Kyrgyzstan`KGZ`Central Asia	20.44	extrapolation	income
Peru`PER`South America	19.76	interpolation	consumption
Dominican Republic`DOM`Caribbean	19.69	interpolation	income
Micronesia`FSM`Micronesia	19.38	extrapolation	consumption
Yemen`YEM`Western Asia	18.98	extrapolation	consumption
São Tomé and Príncipe`STP`Middle Africa	17.20	extrapolation	consumption
Mongolia`MNG`Eastern Asia	16.52	extrapolation	consumption
Tunisia`TUN`Northern Africa	16.30	survey	consumption
Colombia`COL`South America	16.16	extrapolation	income
Chile`CHL`South America	16.03	survey	income
Turkmenistan`TKM`Central Asia	15.16	extrapolation	consumption
Costa Rica`CRI`Central America	13.88	survey	income
Morocco`MAR`Northern Africa	13.39	interpolation	consumption
Mexico`MEX`Central America	13.32	interpolation	income
Bosnia and Herzegovina`BIH`Southern Europe	12.89	extrapolation	consumption
Algeria`DZA`Northern Africa	12.12	interpolation	consumption
Tuvalu`TUV`Polynesia	12.09	extrapolation	consumption
Jamaica`JAM`Caribbean	11.62	survey	consumption
Samoa`WSM`Polynesia	10.76	extrapolation	consumption
Türkiye`TUR`Western Asia	9.22	interpolation	consumption
Fiji`FJI`Melanesia	7.95	extrapolation	consumption
Venezuela`VEN`South America	7.30	interpolation	income
Egypt`EGY`Northern Africa	7.16	extrapolation	consumption
Tonga`TON`Polynesia	6.84	extrapolation	consumption
Kazakhstan`KAZ`Central Asia	6.72	extrapolation	income
Marshall Islands`MHL`Micronesia	6.59	extrapolation	consumption
Mauritius`MUS`Eastern Africa	5.94	extrapolation	consumption
Grenada`GRD`Caribbean	5.93	extrapolation	consumption
Gabon`GAB`Middle Africa	5.48	extrapolation	consumption
Ukraine`UKR`Eastern Europe	5.42	extrapolation	consumption
Armenia`ARM`Western Asia	5.40	extrapolation	income
Malaysia`MYS`South-eastern Asia	4.78	interpolation	income
Moldova`MDA`Eastern Europe	3.89	extrapolation	consumption
Azerbaijan`AZE`Western Asia	3.86	extrapolation	consumption
Syria`SYR`Western Asia	3.74	extrapolation	consumption
Uruguay`URY`South America	3.56	extrapolation	income
Albania`ALB`Southern Europe	3.28	extrapolation	consumption
Russia`RUS`Eastern Europe	3.22	extrapolation	consumption
Palestine`PSE`Western Asia	3.06	extrapolation	consumption
Trinidad and Tobago`TTO`Caribbean	2.80	interpolation	income
Lebanon`LBN`Western Asia	2.64	extrapolation	consumption
Paraguay`PRY`South America	2.53	survey	income
Suriname`SUR`South America	2.20	extrapolation	consumption
North Macedonia`MKD`Southern Europe	1.90	extrapolation	consumption
Argentina`ARG`South America	1.73	interpolation	income
Barbados`BRB`Caribbean	1.67	extrapolation	consumption
Portugal`PRT`Southern Europe	1.52	extrapolation	income
Japan`JPN`Eastern Asia	1.48	extrapolation	income
Iraq`IRQ`Western Asia	1.44	extrapolation	consumption
South Korea`KOR`Eastern Asia	1.32	extrapolation	income
Georgia`GEO`Western Asia	1.26	extrapolation	consumption
Seychelles`SYC`Eastern Africa	1.26	extrapolation	consumption
Greece`GRC`Southern Europe	1.22	extrapolation	income
Netherlands`NLD`Western Europe	1.09	survey	income
Canada`CAN`Northern America	1.08	survey	income
Lithuania`LTU`Northern Europe	0.99	extrapolation	income
Jordan`JOR`Western Asia	0.94	interpolation	consumption
Hungary`HUN`Eastern Europe	0.92	interpolation	income
Australia`AUS`Australia and New Zealand	0.83	interpolation	income
Belgium`BEL`Western Europe	0.75	interpolation	income
Ireland`IRL`Northern Europe	0.72	interpolation	income
Malta`MLT`Southern Europe	0.70	extrapolation	income
Denmark`DNK`Northern Europe	0.60	interpolation	income
Switzerland`CHE`Western Europe	0.60	interpolation	income
Spain`ESP`Southern Europe	0.50	survey	income
United States`USA`Northern America	0.48	survey	income
Montenegro`MNE`Southern Europe	0.38	extrapolation	consumption
Norway`NOR`Northern Europe	0.34	interpolation	income
Israel`ISR`Western Asia	0.31	interpolation	income
Italy`ITA`Southern Europe	0.17	interpolation	income
Serbia`SRB`Southern Europe	0.17	extrapolation	consumption
Sweden`SWE`Northern Europe	0.16	interpolation	income
Austria`AUT`Western Europe	0.14	extrapolation	income
Cyprus`CYP`Western Asia	0.14	extrapolation	income
Croatia`HRV`Southern Europe	0.12	interpolation	income
France`FRA`Western Europe	0.10	survey	income
Poland`POL`Eastern Europe	0.06	interpolation	income
United Kingdom`GBR`Northern Europe	0.06	survey	income
Germany`DEU`Western Europe	0.04	extrapolation	income
Iceland`ISL`Northern Europe	0.04	extrapolation	income
Belarus`BLR`Eastern Europe	0.00	extrapolation	income
Bulgaria`BGR`Eastern Europe	0.00	interpolation	consumption
Czechia`CZE`Eastern Europe	0.00	extrapolation	income
Estonia`EST`Northern Europe	0.00	extrapolation	income
Finland`FIN`Northern Europe	0.00	interpolation	income
Latvia`LVA`Northern Europe	0.00	extrapolation	income
Luxembourg`LUX`Western Europe	0.00	survey	income
Nauru`NRU`Micronesia	0.00	extrapolation	consumption
Qatar`QAT`Western Asia	0.00	extrapolation	income
Romania`ROU`Eastern Europe	0.00	interpolation	income
Slovakia`SVK`Eastern Europe	0.00	extrapolation	income
Slovenia`SVN`Southern Europe	0.00	interpolation	income
Taiwan`TWN`Eastern Asia	0.00	interpolation	income
United Arab Emirates`ARE`Western Asia	0.00	extrapolation	income

02In 1990

At either end

The 5 countries at each end of the headline.

Highest

Lowest

Taiwanshared0.00
Sloveniashared0.00
Slovakiashared0.00
Romaniashared0.00
Qatarshared0.00

A higher value is the worse result. The middle country reads 16.10. “Shared” marks a value another country also holds.

031989 → 1990

Since 1989

+1 / −0countries joined / left
147values changed, of 169 in both
76 · 71rose · fell
22unchanged

Rose most

Liberia31.94 → 56.14+24.20
Côte d’Ivoire23.96 → 28.73+4.77
Brazil25.65 → 30.34+4.69
Cameroon41.54 → 45.69+4.15
Peru15.70 → 19.76+4.06

Fell most

Turkmenistan23.50 → 15.16−8.34
Maldives47.78 → 41.26−6.52
Iraq6.60 → 1.44−5.16
Saint Lucia48.48 → 43.96−4.52
Tuvalu16.20 → 12.09−4.11

+ Timor-Leste

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 1990.
151 distinct values among 170
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 170 countries has every column.

05The files

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

Cite this edition

World Bank Group (1990). Poverty Headcount at $3.00 a Day, Line-up Estimates, 1990 [data set], describing 1990. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-lineup/1990

0644 held

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Poverty Headcount at $3.00 a Day, Line-up Estimates, 1989
169 countries
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Poverty Headcount at $3.00 a Day, Line-up Estimates, 1991
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