The Correlation between GDP PPP Per Capita and GDP PPP Per Area in Asia

Oct 18, 2017
Scatter plot of per capita GDP PPP and GDP PPP per area

The correlation between per capita gross domestic product based on purchasing power parity (GDP PPP) and GDP PPP per area in Asia is moderate.  The three largest economies on a per capita basis have either a moderate or high per area GDP relative to other countries on the continent.

Findings

  • The correlation coefficient between per capita Gross Domestic Product (GDP) in Purchasing Power Parity (PPP) and minimum wage in Asia is 0.42.
  • As the per capita GDP PPP increases in Asia, the per area GDP PPP somewhat increases.
  • Afghanistan has the lowest per capita GDP PPP and the second lowest per area GDP PPP.
  • Mongolia has the lowest per area GDP PPP but the 19th lowest per capita GDP PPP.
  • Qatar has the largest per capita GDP PPP and the third highest per area GDP PPP on the continent.
  • Singapore on the other hand, has the highest per area GDP PPP and the second highest per capita GDP PPP.

Caveats

  • As always, correlation does not imply causation.
  • The British Indian Ocean Territory, Christmas Island, Cocos (Keeling) Islands, Hong Kong, North Korea, Kyrgyzstan, Macao, Myanmar, Palestine, Syria, and Taiwan were missing data.

Details

Every country that has a per capita GDP PPP of at least 50,000 international dollars save for Saudi Arabia, also has a GDP PPP per square kilometer of at least six million international dollars.  In addition, every country with a per capita GDP PPP below 5,000 international dollars save for Bangladesh, also has a GDP PPP per square kilometer of at most 600,000 international dollars.

Unlike Europe, there are no geographic clusters.

Country Codes

CodeCountryGDP PPP Per Square KilometerPer Capita GDP PPP
AFAfghanistan103,432.841,919
AMArmenia911,676.78,621
AZAzerbaijan1,933,383.3717,439
BHBahrain105,145,864.6650,704
BDBangladesh4,624,801.293,891
BTBhutan183,492.218,227
BNBrunei6,231,119.5476,884
KHCambodia355,759.943,737
CNChina2,416,849.8115,399
CYCyprus3,361,042.0534,970
GEGeorgia564,103.310,044
INIndia2,886,687.86,616
IDIndonesia1,710,162.7711,720
IRIran931,619.7418,077
IQIraq1,462,423.3117,944
ILIsrael15,220,028.8935,179
JPJapan14,342,452.6741,275
JOJordan1,002,384.112,278
KZKazakhstan173,423.9825,145
KWKuwait17,377,932.4371,887
LALaos188,509.295,710
LBLebanon8,537,115.3818,525
MYMalaysia2,795,408.1727,267
MVMaldives19,510,00015,553
MNMongolia24,122.8912,275
NPNepal524,164.122,479
OMOman612,542.8146,698
PKPakistan1,332,214.125,106
PHPhilippines2,929,933.337,728
QAQatar30,026,497.5127,660
SASaudi Arabia835,564.6655,158
SGSingapore753,787,701.3290,151
KRSouth Korea20,354,051.3437,740
LKSri Lanka4,243,484.2212,262
TJTajikistan192,935.463,008
THThailand2,390,097.8316,888
TLTimor-Leste307,045.854,187
TRTurkey2,657,197.5224,912
TMTurkmenistan213,044.4617,485
AEUnited Arab Emirates8,298,624.467,871
UZUzbekistan497,970.56,563
VNVietnam1,957,196.346,429
YEYemen140,633.522,375

Sources

"Report for Selected Country Groups and Subjects (PPP Valuation of Country GDP)."  https://www.imf.org/external/pubs/ft/weo/2017/01/weodata/weorept.aspx?pr.x=43&pr.y=19&sy=2017&ey=2017&scsm=1&ssd=1&sort=country&ds=.&br=1&c=512%2C672%2C914%2C946%2C612%2C137%2C614%2C546%2C311%2C962%2C213%2C674%2C911%2C676%2C193%2C548%2C122%2C556%2C912%2C678%2C313%2C181%2C419%2C867%2C513%2C682%2C316%2C684%2C913%2C273%2C124%2C868%2C339%2C921%2C638%2C948%2C514%2C943%2C218%2C686%2C963%2C688%2C616%2C518%2C223%2C728%2C516%2C558%2C918%2C138%2C748%2C196%2C618%2C278%2C624%2C692%2C522%2C694%2C622%2C142%2C156%2C449%2C626%2C564%2C628%2C565%2C228%2C283%2C924%2C853%2C233%2C288%2C632%2C293%2C636%2C566%2C634%2C964%2C238%2C182%2C662%2C359%2C960%2C453%2C423%2C968%2C935%2C922%2C128%2C714%2C611%2C862%2C321%2C135%2C243%2C716%2C248%2C456%2C469%2C722%2C253%2C942%2C642%2C718%2C643%2C724%2C939%2C576%2C644%2C936%2C819%2C961%2C172%2C813%2C132%2C199%2C646%2C733%2C648%2C184%2C915%2C524%2C134%2C361%2C652%2C362%2C174%2C364%2C328%2C732%2C258%2C366%2C656%2C734%2C654%2C144%2C336%2C146%2C263%2C463%2C268%2C528%2C532%2C923%2C944%2C738%2C176%2C578%2C534%2C537%2C536%2C742%2C429%2C866%2C433%2C369%2C178%2C744%2C436%2C186%2C136%2C925%2C343%2C869%2C158%2C746%2C439%2C926%2C916%2C466%2C664%2C112%2C826%2C111%2C542%2C298%2C967%2C927%2C443%2C846%2C917%2C299%2C544%2C582%2C941%2C474%2C446%2C754%2C666%2C698%2C668&s=PPPGDP&grp=0&a=.  International Monetary Fund.

Filed under: Correlations