NationMaster - Correlations > Geography

	Variable	Strength
...and	Health > Breast cancer incidence (inverse)	58%	[plot \| correlate \| graph]
...and	Environment > Waste generation (inverse)	57%	[plot \| correlate \| graph]
...and	Internet > Communication technology patents	55%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development	42%	[plot \| correlate \| graph]
...and	Industry > Bus production	41%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	33%	[plot \| correlate \| graph]
...and	Environment > Coral reefs > Area	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64	30%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Brazil nuts	28%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Different race	27%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 35-44	27%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	26%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	26%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service (inverse)	26%	[plot \| correlate \| graph]
...and	Religion > Islam > Percentage Muslim (inverse)	25%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Potatoes	25%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	25%	[plot \| correlate \| graph]
...and	Crime > Total crime victims (inverse)	25%	[plot \| correlate \| graph]
...and	Military > Tanks	24%	[plot \| correlate \| graph]
...and	Environment > Water > Severe water stress (inverse)	24%	[plot \| correlate \| graph]
...and	Crime > Reporting to police (inverse)	23%	[plot \| correlate \| graph]
...and	Crime > Property crime victims (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	22%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	22%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue	21%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13 (inverse)	19%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Upper secondary	19%	[plot \| correlate \| graph]
...and	Geography > Precipitation	19%	[plot \| correlate \| graph]
...and	Economy > Male to female earnings	18%	[plot \| correlate \| graph]
...and	Labor > Working time to buy bread	18%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals	18%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pulp and waste paper	18%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita (inverse)	18%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Oats	17%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer	17%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives sleeping under a bednet	17%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Asparagus	17%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Papayas	17%	[plot \| correlate \| graph]
...and	Crime > Assault victims (inverse)	17%	[plot \| correlate \| graph]
...and	Food > Pork consumption per capita (inverse)	16%	[plot \| correlate \| graph]
...and	Transportation > Airports > With unpaved runways > 2438 to 3047 m (inverse)	16%	[plot \| correlate \| graph]
...and	Energy > Oil imports > Net	16%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Mandarins clementines and similar citrus (inverse)	16%	[plot \| correlate \| graph]
...and	Internet > Web sites (inverse)	16%	[plot \| correlate \| graph]
...and	Education > Class size > Age 9	16%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 25-34	16%	[plot \| correlate \| graph]
	Average:	25%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. NationMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all countries, rather subsets of countries matched together.

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Detailed correlation information
Map & Graph: countries ranked

NOTES:

Outliers have been removed only where they are outside 3 standard deviations of the mean.
Only variable pairs where at least 15 countries match for each have been considered.
Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

DEFINITION: Forested land as a proportion of total land area, estimate by FAO

SOURCE: FAO

Correlations > Geography Statistics > Forested Land

Correlations between Geography > Forested Land ...

About Correlations:

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NOTES:

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