NationMaster - Correlations > Geography

	Variable	Strength
...and	Agriculture > Production > Wheat	51%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Onions	47%	[plot \| correlate \| graph]
...and	Agriculture > Area > Wheat	42%	[plot \| correlate \| graph]
...and	Disasters > Funds committed to emergency Tsunami aid	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tin	41%	[plot \| correlate \| graph]
...and	People > Child Protection > Birth registration, % of rural (inverse)	38%	[plot \| correlate \| graph]
...and	Disasters > Funds commited to Tsunami aid	38%	[plot \| correlate \| graph]
...and	People > One person households	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher age > Proportion aged 30-39	35%	[plot \| correlate \| graph]
...and	Health > SARS fatality ratio %	35%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	34%	[plot \| correlate \| graph]
...and	Agriculture > Area > Total Coarse Grain	33%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors under construction	32%	[plot \| correlate \| graph]
...and	Media > Mobile phones (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 12	32%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single worker (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Death penalty > Last executed (inverse)	30%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged by NGOs and public	28%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sunflowerseed (inverse)	28%	[plot \| correlate \| graph]
...and	People > Child Protection > Birth registration, % of urban (inverse)	28%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single-income family (inverse)	27%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of urban	26%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Barley imports	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Petrol hydrocarbon gas	26%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting; ratio to GDP per capita	26%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > After 15 years	26%	[plot \| correlate \| graph]
...and	Agriculture > Production > Total Coarse Grain	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of tin	24%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Jute bast fibre raw retd	23%	[plot \| correlate \| graph]
...and	Immigration > Foreign population inflow	23%	[plot \| correlate \| graph]
...and	Agriculture > Workers per hectare	23%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60 (inverse)	22%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	22%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Polio3 (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of military aircraft, complete	22%	[plot \| correlate \| graph]
...and	Health > Tobacco > Young male smokers (inverse)	22%	[plot \| correlate \| graph]
...and	Health > Tobacco > Young female smokers (inverse)	22%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus	21%	[plot \| correlate \| graph]
...and	Health > SARS fatalities	20%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	20%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	20%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	20%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	20%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Onions and shallots (inverse)	19%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > DPT3 (inverse)	19%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > secondary level	19%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59	19%	[plot \| correlate \| graph]
...and	Health > SARS total cases	19%	[plot \| correlate \| graph]
	Average:	28%

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: Average Annual Precipitation in Largest City (mm, 1931-1960)

SOURCE: United Nations World Statistics Pocketbook and Statistical Yearbook

Correlations > Geography Statistics > Precipitation

Correlations between Geography > Precipitation ...

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