Gross Domestic Product by Arable Land in South America

Oct 5, 2017
Scatter plot of area and GDP

The chart above shows economic output as it relates to arable land.  The countries to the top left have a larger ratio of gross domestic product (GDP) to arable land, while countries to the bottom right have a smaller ratio of GDP to arable land.  Colombia, Chile, and Ecuador have the largest ratio of GDP to area whereas Argentina, Paraguay, and Guyana have the smallest ratio of GDP to area.

Findings

  • All countries have a GDP per square kilometer of arable land between one million and 100 million international dollars.
  • Paraguay has the smallest ratio of GDP to arable land with an economy of just over one million times that of its arable land in square kilometers.
  • Colombia has the largest ratio of GDP to arable land with an economy of over 45 million times that of its arable land in square kilometers.

Caveats

  • Arable land may be a better attribute to use than total land area because it indicates where people are willing to live however, countries are likely to have resources beyond what can be found within their arable lands.
  • Bolivia, French Guiana, South Georgia and the South Sandwich Islands, and Venezuela were missing data.

Details

The two biggest economies tend to have a limited economic output per square kilometer of arable land.  The third largest economy however, has the best economic output per unit of arable land.

The economic output per unit of arable land seems completely random in South America.

Data

CodeCountryArable Land (square km)GDP (in millions)GDP Per Square Kilometer
PYParaguay54,75668,0051,241,964
GYGuyana4,5156,3981,417,054
ARArgentina386,476912,8162,361,896
UYUruguay17,79877,8004,371,278
BRBrazil732,3593,216,0314,391,331
PEPeru39,841429,71110,785,648
SRSuriname6557,96112,154,198
ECEcuador13,334184,62913,846,483
CLChile12,854455,94135,470,748
COColombia15,946720,15145,161,859

Sources

"Report for Selected Countries and Subjects."  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.

US Department of State.  2017.  "The World Factbook."  Accessed September 21, 2017.  https://www.cia.gov/library/publications/the-world-factbook/fields/2147.html.

Filed under: Scatter Plots