Gross Domestic Product by Land Area in Africa

Sep 28, 2017
Scatter plot of area and GDP

The chart above shows economic output as it relates to land area.  The countries to the top left of the diagonal line have a gross domestic product (GDP) of over one million international dollars per square kilometer, while countries to the bottom right have a GDP that is less than one million dollars per square kilometer.  Mauritius, Seychelles, and Nigeria have the largest ratio of GDP to area whereas the Central African Republic, Mauritania, and Niger have the smallest ratio of GDP to area.

Findings

  • Africa has only five countries that make over 1 million international dollars per square kilometer.
  • The Central African Republic has the smallest ratio of GDP to area with an economy of just over 5,000 times that of its area in square kilometers.
  • Mauritius has the largest ratio of GDP to area with an economy of just over 10 million times that of its area in square kilometers.
  • Only Equatorial Guinea, Egypt, Nigeria, Seychelles, and Mauritius have a GDP that is over one million international dollars per square kilometer.

Caveats

  • A country with a large landmass and a small population is likely to have a smaller ratio, whereas a small country with a large population density can have a larger ratio.  Thus the data may not reflect how productive a country is.
  • Cape Verde, Congo, Ivory Coast, Gambia, Mayotte, RĂ©union, Sao Tome and Principe, Somalia, South Sudan, Western Sahara, and Zimbabwe were missing data.

Details

The only north African country to make less than 100,000 international dollars per square kilometer is Libya. 

The six countries with the lowest GDP per square kilometer all hail from west or central Africa.

Data

CodeCountryArea (square km)GDP (in millions)GDP Per Square Kilometer
CFCentral African Republic622,9843,4115,475.26
MRMauritania1,030,70017,42116,902.11
NENiger1,267,00021,65517,091.55
TDChad1,284,00029,73023,154.21
CDDemocratic Republic of the Congo2,344,85868,33129,140.78
MLMali1,240,19240,97433,038.43
NANamibia824,29227,45133,302.52
LRLiberia111,3693,96035,557.47
MZMozambique799,38037,32146,687.43
LYLibya1,759,54087,06749,482.82
BWBotswana581,73038,50066,181.91
MGMadagascar587,04140,50068,990.07
GNGuinea245,85717,05669,373.66
EREritrea117,6009,67882,295.92
GWGuinea-Bissau36,1253,08985,508.65
ZMZambia752,61868,64891,212.28
SDSudan1,861,484186,715100,304.38
BFBurkina Faso274,20035,000127,644.06
GAGabon267,66738,000141,967.44
AOAngola1,246,700193,935155,558.67
DJDjibouti22,9803,658159,181.90
SLSierra Leone71,74011,551161,011.99
CMCameroon475,44081,535171,493.77
TZTanzania947,300163,522172,619.02
ETEthiopia1,104,300194,980176,564.34
MWMalawi118,48422,577190,548.93
TGTogo56,78512,494220,022.89
SNSenegal196,72243,326220,239.73
BJBenin112,62225,407225,595.35
LSLesotho30,3557,287240,059.30
DZAlgeria2,381,741634,746266,505.05
KEKenya580,367164,340283,165.65
BIBurundi27,8308,024288,321.95
UGUganda241,03891,212378,413.36
GHGhana238,553131,498551,231.80
KMComoros2,2351,329594,630.87
ZASouth Africa1,219,090761,926624,995.69
SZSwaziland17,36411,352653,766.41
MAMorocco446,550300,556673,062.37
TNTunisia163,610136,797836,116.37
RWRwanda26,33824,717938,453.94
GQEquatorial Guinea28,05130,8071,098,249.62
EGEgypt1,001,4501,197,9671,196,232.46
NGNigeria923,7681,124,6271,217,434.46
SCSeychelles4552,7616,068,131.87
MUMauritius2,58627,50710,636,890.95

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