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First, Second & Third World Countries Based On GDP Per Capita In 1950, 1975, 2000 & 2022

Last Updated: November 14, 2025 Leave a Comment

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First, Second & Third World Countries Based On GDP Per Capita In 1950, 1975, 2000 & 2022

The map above shows how the richest, middle and poorest income countries have changed from 1950 until today.

And to be clear, the maps are not showing what was regarded as the First, Second & Third Worlds during the Cold War but instead split countries purely based on income.

Data, maps and explanation below:

First, Second & Third World Countries Based On GDP Per Capita In 1950

First, Second & Third World Countries Based On GDP Per Capita In 1975

First, Second & Third World Countries Based On GDP Per Capita In 2000

First, Second & Third World Countries Based On GDP Per Capita In 2022

Interestingly, only two countries: Oman and South Korea managed to go from 3rd to 1st!

Rankings across all 4 years:

CountryRanking 1950Ranking 1975Ranking 2000Ranking 2022
Qatar1st1st1st1st
Norway1st1st1st1st
Singapore1st1st1st1st
United Arab Emirates1st1st1st1st
Kuwait1st1st1st1st
Switzerland1st1st1st1st
Ireland1st1st1st1st
United States1st1st1st1st
Luxembourg1st1st1st1st
Saudi Arabia1st1st1st1st
Taiwan2nd2nd1st1st
Australia1st1st1st1st
Denmark1st1st1st1st
Netherlands1st1st1st1st
Hong Kong1st1st1st1st
Oman3rd2nd1st1st
Sweden1st1st1st1st
Germany1st1st1st1st
Canada1st1st1st1st
Austria1st1st1st1st
Iceland1st1st1st1st
Belgium1st1st1st1st
South Korea3rd2nd1st1st
Finland1st1st1st1st
France1st1st1st1st
Bahrain1st2nd1st1st
United Kingdom1st1st1st1st
Japan2nd1st1st1st
New Zealand1st1st1st1st
Israel1st1st1st1st
Italy1st1st1st1st
Puerto Rico1st1st1st1st
Malta2nd2nd1st1st
Spain1st1st1st1st
SloveniaNo Data1st1st1st
Poland1st1st1st1st
CzechiaNo Data1st1st1st
Cyprus2nd2nd1st1st
Seychelles2nd2nd1st1st
LithuaniaNo DataNo Data2nd1st
Czechoslovakia1st1st1st1st
EstoniaNo DataNo Data1st1st
Hungary1st1st1st1st
Portugal2nd1st1st1st
SlovakiaNo DataNo Data1st1st
Turkey2nd2nd2nd1st
LatviaNo DataNo Data2nd1st
CroatiaNo Data1st1st1st
Malaysia2nd2nd1st1st
KazakhstanNo DataNo Data2nd1st
Romania2nd2nd2nd1st
Trinidad and Tobago1st1st1st1st
Russia2nd1st2nd1st
Greece2nd1st1st1st
Panama2nd2nd2nd1st
Chile1st2nd1st1st
Equatorial Guinea3rd2nd1st2nd
MontenegroNo Data2nd2nd2nd
Mauritius1st2nd1st2nd
Bulgaria2nd1st2nd2nd
Uruguay1st1st1st2nd
USSR1st1st2nd2nd
Yugoslavia2nd2nd2nd2nd
China3rd3rd2nd2nd
BelarusNo DataNo Data2nd2nd
Iran2nd1st2nd2nd
Argentina1st1st1st2nd
Dominican Republic2nd2nd2nd2nd
AzerbaijanNo DataNo Data2nd2nd
TurkmenistanNo DataNo Data2nd2nd
SerbiaNo Data1st2nd2nd
Thailand3rd2nd2nd2nd
Botswana3rd3rd2nd2nd
Mexico1st2nd1st2nd
Gabon2nd1st2nd2nd
Costa Rica2nd2nd2nd2nd
Brazil2nd2nd2nd2nd
Colombia1st2nd2nd2nd
GeorgiaNo DataNo Data2nd2nd
North MacedoniaNo Data1st2nd2nd
ArmeniaNo DataNo Data2nd2nd
Algeria2nd2nd2nd2nd
Mongolia3rd3rd3rd2nd
Egypt3rd3rd2nd2nd
Iraq2nd2nd3rd2nd
Albania2nd2nd2nd2nd
Indonesia3rd3rd2nd2nd
Peru1st2nd2nd2nd
Libya3rd2nd2nd2nd
UzbekistanNo DataNo Data2nd2nd
Bosnia and HerzegovinaNo Data2nd2nd2nd
Barbados1st1st1st2nd
South Africa1st2nd2nd2nd
Tunisia2nd2nd2nd2nd
Sri Lanka2nd3rd2nd2nd
Saint Lucia3rd3rd2nd2nd
Lebanon1st2nd2nd2nd
Ecuador2nd2nd2nd2nd
El Salvador2nd2nd2nd2nd
Jordan2nd2nd2nd2nd
Dominica3rd3rd2nd2nd
Paraguay2nd2nd2nd2nd
Eswatini3rd2nd2nd2nd
Morocco2nd2nd2nd2nd
Philippines2nd2nd3rd2nd
Vietnam3rd3rd3rd2nd
Namibia1st2nd2nd2nd
Guatemala2nd2nd2nd2nd
India3rd3rd3rd2nd
UkraineNo DataNo Data2nd2nd
Cuba2nd2nd3rd2nd
Jamaica2nd2nd2nd2nd
Cape Verde3rd3rd3rd3rd
Laos3rd3rd3rd3rd
MoldovaNo DataNo Data3rd3rd
Bolivia2nd2nd2nd3rd
Angola2nd3rd3rd3rd
Pakistan3rd3rd3rd3rd
TajikistanNo DataNo Data3rd3rd
KyrgyzstanNo DataNo Data3rd3rd
Venezuela1st1st1st3rd
Honduras2nd2nd3rd3rd
Myanmar3rd3rd3rd3rd
Nicaragua2nd2nd3rd3rd
Nigeria3rd3rd3rd3rd
Bangladesh3rd3rd3rd3rd
Palestine2nd2nd2nd3rd
Ghana2nd3rd3rd3rd
Congo2nd3rd2nd3rd
Cote d'Ivoire2nd2nd3rd3rd
Cambodia3rd3rd3rd3rd
Sao Tome and Principe3rd3rd3rd3rd
Mauritania3rd3rd3rd3rd
Djibouti1st2nd3rd3rd
Kenya3rd3rd3rd3rd
Zambia3rd3rd3rd3rd
Tanzania3rd3rd3rd3rd
Nepal3rd3rd3rd3rd
Cameroon3rd3rd3rd3rd
Senegal2nd3rd3rd3rd
Syria1st1st2nd3rd
Benin2nd3rd3rd3rd
Lesotho3rd3rd3rd3rd
Ethiopia3rd3rd3rd3rd
Rwanda3rd3rd3rd3rd
Uganda3rd3rd3rd3rd
Gambia3rd3rd3rd3rd
Yemen2nd2nd2nd3rd
Comoros3rd3rd3rd3rd
Guinea3rd3rd3rd3rd
Burkina Faso3rd3rd3rd3rd
Zimbabwe3rd3rd3rd3rd
Sierra Leone3rd3rd3rd3rd
Mali3rd3rd3rd3rd
Guinea-Bissau3rd3rd3rd3rd
Togo3rd3rd3rd3rd
North KoreaNo DataNo Data3rd3rd
Haiti2nd3rd3rd3rd
Chad3rd3rd3rd3rd
Madagascar2nd3rd3rd3rd
Afghanistan3rd3rd3rd3rd
Malawi3rd3rd3rd3rd
Mozambique2nd3rd3rd3rd
Niger3rd3rd3rd3rd
Democratic Republic of Congo3rd3rd3rd3rd
Liberia2nd2nd3rd3rd
Burundi3rd3rd3rd3rd
Central African Republic3rd3rd3rd3rd

GDP per capita figures for all 4 years:

EntityGDP Per Capita 1950GDP Per Capita 1975GDP Per Capita 2000GDP Per Capita 2022
Qatar$48,436$54,866$45,788$149,171
Norway$8,655$19,560$54,040$88,366
Singapore$3,572$9,602$37,773$80,320
United Arab Emirates$25,182$40,591$48,888$77,204
Kuwait$46,031$28,950$35,845$71,534
Switzerland$11,541$24,468$43,251$63,323
Ireland$5,504$11,662$38,807$60,257
United States$15,240$25,956$45,886$58,487
Luxembourg$13,378$22,643$50,064$55,485
Saudi Arabia$3,556$18,788$23,905$53,517
Taiwan$1,460$5,614$26,787$53,143
Australia$11,815$20,993$36,603$52,049
Denmark$11,067$21,712$39,021$50,690
Netherlands$9,558$21,318$37,900$49,670
Hong Kong$4,082$11,456$32,894$48,289
Oman$993$6,802$24,186$47,989
Sweden$10,742$22,607$34,203$47,126
Germany$6,186$19,193$33,367$46,648
Canada$11,622$22,819$36,943$45,530
Austria$5,907$18,564$34,796$43,793
Iceland$8,498$18,935$33,108$42,146
Belgium$8,706$19,831$33,720$41,872
South Korea$998$4,362$23,108$41,321
Finland$6,779$18,237$32,690$40,701
France$8,266$20,653$33,410$39,066
Bahrain$3,354$6,252$17,022$38,652
United Kingdom$11,061$18,884$31,946$38,407
Japan$3,062$18,082$33,211$38,269
New Zealand$13,479$19,907$26,823$38,250
Israel$4,490$16,176$26,059$36,649
Italy$5,582$17,123$32,717$36,224
Puerto Rico$3,416$11,073$27,392$35,281
Malta$1,573$5,738$20,435$34,496
Spain$3,459$12,613$26,995$34,123
SloveniaNo Data$17,205$21,501$32,674
Poland$3,900$9,258$12,732$32,468
CzechiaNo Data$10,954$17,056$32,247
Cyprus$2,885$5,528$22,327$31,523
Seychelles$2,632$4,506$14,380$31,055
LithuaniaNo DataNo Data$10,807$30,863
Czechoslovakia$5,581$11,794$15,378$30,641
EstoniaNo DataNo Data$16,807$30,067
Hungary$3,953$9,253$13,129$29,452
Portugal$3,325$10,388$23,372$28,992
SlovakiaNo DataNo Data$13,905$27,519
Turkey$2,079$5,719$11,904$27,362
LatviaNo DataNo Data$11,310$27,220
CroatiaNo Data$11,053$13,245$26,987
Malaysia$2,485$4,221$13,475$26,629
KazakhstanNo DataNo Data$9,309$26,492
Romania$1,884$5,995$7,090$26,198
Trinidad and Tobago$5,856$14,534$19,180$25,773
Russia$3,311$11,164$10,553$25,437
Greece$3,052$12,309$20,965$25,284
Panama$2,577$5,649$9,899$23,557
Chile$5,880$6,731$15,212$22,741
Equatorial Guinea$797$3,080$12,915$22,707
MontenegroNo Data$5,512$6,046$20,942
Mauritius$3,942$6,030$14,272$20,643
Bulgaria$2,632$9,295$8,411$20,592
Uruguay$7,015$8,563$13,050$20,182
USSR$4,529$9,779$8,194$19,355
Yugoslavia$2,276$7,976$8,473$19,352
China$799$1,594$4,730$19,238
BelarusNo DataNo Data$9,111$18,700
Iran$2,742$9,377$9,105$18,473
Argentina$7,949$12,946$14,369$18,292
Dominican Republic$1,637$3,365$6,788$17,714
AzerbaijanNo DataNo Data$4,215$17,683
TurkmenistanNo DataNo Data$4,173$17,235
SerbiaNo Data$8,498$6,060$17,098
Thailand$1,302$3,123$9,627$16,421
Botswana$489$1,712$8,044$16,352
Mexico$3,510$8,011$12,613$16,235
Gabon$2,958$9,985$10,638$15,721
Costa Rica$3,129$7,007$9,320$15,497
Brazil$2,236$6,582$9,834$14,640
Colombia$3,432$5,772$8,497$14,469
GeorgiaNo DataNo Data$4,892$14,360
North MacedoniaNo Data$8,064$8,084$14,051
ArmeniaNo DataNo Data$5,140$13,838
Algeria$2,176$4,020$6,835$13,506
Mongolia$677$1,387$2,936$13,443
Egypt$1,451$2,265$6,594$13,205
Iraq$2,174$6,878$3,649$13,072
Albania$1,596$3,649$4,808$12,978
Indonesia$1,280$2,386$5,384$12,802
Peru$3,679$6,896$6,038$12,763
Libya$620$6,872$9,771$12,755
UzbekistanNo DataNo Data$4,667$12,559
Bosnia and HerzegovinaNo Data$5,247$7,082$12,143
Barbados$3,390$9,825$12,600$11,546
South Africa$4,041$6,808$7,583$11,416
Tunisia$1,777$3,899$7,548$10,914
Sri Lanka$1,997$2,434$5,841$10,705
Saint Lucia$1,231$2,428$7,191$10,452
Lebanon$3,872$5,742$7,406$10,341
Ecuador$2,970$5,514$6,908$10,124
El Salvador$2,375$4,030$5,404$9,219
Jordan$2,651$4,117$7,622$9,151
Dominica$980$1,940$5,697$8,880
Paraguay$2,391$3,464$4,896$8,763
Eswatini$604$2,856$4,895$8,522
Morocco$2,319$2,919$4,754$8,400
Philippines$1,706$3,241$4,034$8,371
Vietnam$1,049$1,132$2,773$8,050
Namibia$4,009$6,293$5,972$7,979
Guatemala$3,323$5,439$5,860$7,969
India$987$1,430$2,753$7,766
UkraineNo DataNo Data$5,166$7,749
Cuba$2,638$3,733$4,009$7,649
Jamaica$2,115$6,129$6,531$7,482
Cape Verde$1,006$1,237$3,584$7,203
Laos$697$999$2,262$7,168
MoldovaNo DataNo Data$2,990$6,675
Bolivia$3,011$4,010$4,174$6,481
Angola$1,677$1,710$2,014$6,119
Pakistan$1,025$1,559$3,155$5,532
TajikistanNo DataNo Data$1,723$5,508
KyrgyzstanNo DataNo Data$3,246$5,305
Venezuela$8,462$16,385$13,993$5,267
Honduras$2,018$2,764$3,336$5,187
Myanmar$631$1,057$1,843$5,177
Nicaragua$2,565$5,013$2,859$5,093
Nigeria$1,200$2,051$2,145$5,070
Bangladesh$861$843$1,485$4,926
Palestine$1,549$4,085$5,377$4,775
Ghana$1,788$1,988$2,100$4,242
Congo$1,693$2,745$4,159$4,188
Cote d'Ivoire$1,659$2,812$2,353$4,012
Cambodia$768$925$1,659$3,944
Sao Tome and Principe$1,278$2,469$2,219$3,752
Mauritania$679$1,699$1,935$3,680
Djibouti$3,459$4,691$1,881$3,623
Kenya$1,038$1,502$1,915$3,404
Zambia$1,054$1,659$1,429$3,342
Tanzania$676$956$1,149$3,057
Nepal$802$1,047$1,677$3,014
Cameroon$1,070$1,677$1,961$2,812
Senegal$2,007$2,225$1,984$2,661
Syria$3,838$8,878$7,668$2,495
Benin$1,627$1,570$1,909$2,477
Lesotho$631$1,270$1,967$2,313
Ethiopia$622$972$772$2,289
Rwanda$1,020$1,199$1,024$2,198
Uganda$1,095$1,243$1,192$2,122
Gambia$982$1,497$1,441$2,011
Yemen$1,452$2,844$4,212$1,959
Comoros$534$1,038$1,204$1,900
Guinea$520$854$1,047$1,809
Burkina Faso$756$1,068$1,275$1,705
Zimbabwe$1,117$2,235$2,211$1,704
Sierra Leone$902$1,551$829$1,690
Mali$728$982$1,153$1,652
Guinea-Bissau$462$1,479$1,231$1,625
Togo$870$1,556$1,150$1,587
North KoreaNo DataNo Data$1,657$1,569
Haiti$1,790$1,726$1,521$1,546
Chad$815$952$716$1,394
Madagascar$1,516$1,795$1,239$1,367
Afghanistan$1,156$1,074$502$1,358
Malawi$516$934$967$1,190
Mozambique$1,806$2,238$1,196$1,088
Niger$983$1,050$693$1,008
Democratic Republic of Congo$909$1,213$414$844
Liberia$3,151$4,326$972$811
Burundi$595$883$740$717
Central African Republic$1,307$1,323$964$596

More about the concept of First, Second & Third Worlds:

Origin of the First, Second, and Third World Concepts

These terms emerged during the Cold War as a way to categorize countries based on their political and economic alignment—not living standards, not development levels, and not geography.

They were first popularized by French demographer Alfred Sauvy in 1952.

 First World

Original Meaning

Countries aligned with the United States and other Western capitalist democracies during the Cold War.

Characteristics

  • Capitalist economic systems
  • Liberal democratic political structures
  • Typically industrialized and high-income

Examples (Cold War context)

  • United States
  • Canada
  • Western Europe (e.g., UK, France, West Germany)
  • Japan
  • Australia, New Zealand

 Second World

Original Meaning

Countries aligned with the Soviet Union and the communist/socialist bloc.

Characteristics

  • State-controlled or centrally planned economies
  • One-party communist governments

Examples

  • Soviet Union
  • Eastern European communist states (e.g., East Germany, Poland)
  • China (at the time)
  • Cuba
  • North Korea
  • Vietnam

 Third World

Original Meaning

Countries that were not aligned with either the US or the USSR during the Cold War.

This included many nations in Africa, Asia, Latin America, and the Middle East, many of which were newly independent after decolonization.

Characteristics

  • Politically non-aligned
  • Economically diverse: some were poor, others not
  • Often members of the Non-Aligned Movement (NAM)

Examples

  • India
  • Indonesia
  • Egypt
  • Yugoslavia
  • Ghana
  • Many Latin American, African, and Asian nations

How the Meaning Changed Over Time

After the Cold War ended, the original political meanings faded. In popular usage:

  • “First World” → wealthy, industrialized countries
  • “Third World” → incorrectly used to mean poor or developing countries
  • “Second World” mostly fell out of use

Instead, we now use:

  • Developed / Developing
  • Global North / Global South
  • High-income / middle-income / low-income
  • OECD / BRICS, etc.

Why “Third World” Became Inaccurate and Controversial

As stated above, its original meaning was political, not economic

People often use “Third World” today to mean:

  • poor
  • underdeveloped
  • chaotic

But originally, it meant “not aligned with NATO or the Warsaw Pact.” Many Third World countries were actually quite developed or powerful (e.g., India, Yugoslavia).

After the Cold War, the political context disappeared

The First vs. Second vs. Third World system depended on the existence of two superpower blocs. Once the USSR collapsed:

  • There was no “Second World” anymore.
  • The rest of the system broke down.

It carries negative connotations

By the 1980s–2000s, “Third World” had become associated with:

  • poverty
  • instability
  • inferiority

Because of this, it is now widely seen as:

  • derogatory
  • outdated
  • imprecise

It oversimplifies extremely diverse countries

“Third World” lumps together:

  • Singapore (rich)
  • Haiti (poor)
  • India (huge and diverse)
  • Saudi Arabia (rich in oil)
  • Ethiopia (low income)

These countries have nothing in common economically.

How the Non-Aligned Movement Fit Into the First/Second/Third World Framework

The Non-Aligned Movement, founded formally in 1961 at the Belgrade Conference, was a group of countries that did not want to align militarily with either the U.S.-led capitalist bloc (First World) or the Soviet-led communist bloc (Second World).

Founding leaders

  • Jawaharlal Nehru (India)
  • Josip Broz Tito (Yugoslavia)
  • Gamal Abdel Nasser (Egypt)
  • Kwame Nkrumah (Ghana)
  • Sukarno (Indonesia)

Why NAM formed

  • Avoid Cold War military alliances
  • Preserve national sovereignty
  • Support anti-colonial and independence movements
  • Promote peace and development outside the U.S.–USSR rivalry

How it relates to “Third World”

The original meaning of “Third World” basically overlaps with Non-Aligned Movement countries, because:

  • First World = aligned with U.S.
  • Second World = aligned with USSR
  • Third World = NOT aligned (i.e., NAM)

Not every Third World country was formally in NAM, but the concepts are closely related.

Evolution of the Term “Global South”

Global North vs South As defined by the UN

Base Map created by Specialgst, equator added by me.

The term “Global South” emerged in the 1960s–1980s from:

  • the Brandt Line (a proposed North–South economic division)
  • development economics
  • post-colonial studies

How these approaches have some big problems of their own:

Problems with the Brandt line map

Base map from Jovan.gec, edits by me.

Rather than political alignment, it refers to structural global inequality.

Meaning today

“Global South” generally refers to:

  • countries with lower average incomes
  • formerly colonized countries
  • regions of Africa, Latin America, the Middle East, and South/Southeast Asia
  • some emerging powers (India, Brazil, Indonesia, South Africa, etc.)
  • The United Nations Conference on Trade and Development (UNCTAD)’s has it’s own classification of economies, which was used for the map above.

Why it replaced “Third World”

  • More respectful
  • More accurate, rooted in global economics, not Cold War politics
  • Includes advanced economies in the Southern hemisphere (e.g., Australia) only when appropriate
  • Emphasizes shared experiences such as colonial legacies, development challenges, and global power imbalances

Caveats

The Global South is not strictly geographic:

  • Australia is geographically south but not part of the “Global South.”
  • China is in the “Global South” despite being a major power.

And finally a note on GDP data used in the original maps:

The Data comes from the Maddison Project Database, which describes the data in the following way:

  • This data is adjusted for inflation and for differences in living costs between countries.
  • Gross domestic product (GDP) is a measure of the total value added from the production of goods and services in a country or region each year. GDP per capita is GDP divided by population.
  • This data is expressed in international-$ at 2011 prices, using a combination of 2011 and 1990 PPPs for historical data.
  • Time series for former countries and territories are calculated forward in time by estimating values based on their last official borders.
  • The Maddison Project Database is based on the work of many researchers who have produced estimates of economic growth and population for individual countries. The full list of sources for this historical data is given in the original dataset.
  • For more regularly updated estimates of GDP per capita since 1990, see the World Bank’s indicator.

 

 

 

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