FACTOID # 40: The four largest nations - Russia, China, USA and Canada - account for nearly a third of all land area.
 
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Environment > NOx emissions per populated area (vs) Transportation > Vehicle abundance

VIEW DATA:   Comparison scatterplot  
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    Flags   Circles (same size)   Circles (by population)   Circles (by GDP)   Circles (by land area)  
153
Transportation > Vehicle abundance
(per square km)
0
0 Environment > NOx emissions per populated area (thousand metric tons/squ) 3

Move your mouse over the circles to view country names, and then click to view their profiles.
Note: It will take several minutes to draw this plot the first time you view it. After that all plots should appear much more quickly.
Strength of correlation (R squared): 0.454 (this correlation is weak)
Outliers: United Arab Emirates, Libya, Japan, Netherlands

X Axis Y Axis
Variable: Environment > NOx emissions per populated area Transportation > Vehicle abundance
Plot Display: Logarithmic (base 10) Logarithmic (base 10)
Definition: NOx emissions per populated land area
Units: 1000 Metric Tons/Sq. Km. of Populated Land Area
Units: We obtained the total emissions for each country by summarizing emissions data, originally available as a grid map with 1 degree x 1 degree cells. Air pollution is generally greatest in densely populated areas. To take this into account, we used the Gridded Population of the World dataset available from CIESIN and calculated the total land area in each country inhabited with a population density of greater than 5 persons per sq. km. We then used this land area as a denominator for the emissions data.
Vehicles per populated land area
Units: Vehicles/Populated Land Area (in km2)
Units: Air pollution is generally greatest in densely populated areas. To take this into account, we used the Gridded Population of the World dataset available from CIESIN and calculated the total land area in each country inhabited with a population density of greater than 5 persons per sq. km. We then utilized this land area as the denominator for the vehicles data.
Source: Intergovernmental Panel on Climate Change: Special Report on Emissions Scenarios, Data Version 1.1, B1Illustrative Marker Scenario with model IMAGE World Bank, World Development Indicators 2001, Washington, DC: World Bank, 2001
Correlations:
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