NationMaster - Correlations > Geography

	Variable	Strength
...and	Economy > World Trade > Exports > Jute bast fibre raw retd	72%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 9 (inverse)	68%	[plot \| correlate \| graph]
...and	Health > SARS total cases	66%	[plot \| correlate \| graph]
...and	Agriculture > Area > Cotton	57%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut	56%	[plot \| correlate \| graph]
...and	Economy > Imports ratio of GDP	51%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	49%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality	48%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions (inverse)	47%	[plot \| correlate \| graph]
...and	Lifestyle > Freedom in decision making (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > Certified ISO companies	44%	[plot \| correlate \| graph]
...and	Education > Student attitude > Find school boring (inverse)	41%	[plot \| correlate \| graph]
...and	Education > Library members	41%	[plot \| correlate \| graph]
...and	Education > Public spending on private institutions	40%	[plot \| correlate \| graph]
...and	Health > Duration of hospitalisation	39%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Valves transistors etc	38%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Class size > Age 9	34%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef	33%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Armed forces (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Church (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Political extremists	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Jewellery	31%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	31%	[plot \| correlate \| graph]
...and	Environment > Non-wildness	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24 (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Baby care toys games sport	28%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of stereo equipment, etc	27%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of gem diamonds	27%	[plot \| correlate \| graph]
...and	Internet > Internet charges	27%	[plot \| correlate \| graph]
...and	Health > Death from cancer	26%	[plot \| correlate \| graph]
...and	Energy > Uranium Production (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of leather and furs	25%	[plot \| correlate \| graph]
...and	Health > SARS fatalities	25%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police (inverse)	25%	[plot \| correlate \| graph]
...and	Education > Teachers as percentage of labor force (inverse)	25%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 25-34 (inverse)	24%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Wheat production	24%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn imports	24%	[plot \| correlate \| graph]
...and	Agriculture > Production > Cotton	23%	[plot \| correlate \| graph]
...and	Crime > Rape victims (inverse)	23%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Radio broadcast receiver	23%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy > male	23%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy > female (inverse)	23%	[plot \| correlate \| graph]
...and	Agriculture > Area > Sorghum	23%	[plot \| correlate \| graph]
	Average:	35%

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: People per square kilometre, in 1999. At this time the world average was 14.42.

SOURCE: Heal The World Foundation.

Correlations > Geography Statistics > Population density

Correlations between Geography > Population density ...

About Correlations:

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NOTES:

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