NationMaster - Correlations > Environment

	Variable	Strength
...and	Lifestyle > Members of voluntary organisations > Environmental	68%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	60%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	52%	[plot \| correlate \| graph]
...and	Environment > Known reptile species	49%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	49%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	47%	[plot \| correlate \| graph]
...and	People > Size of houses	43%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Import growth > Duration 1993-2002	40%	[plot \| correlate \| graph]
...and	Agriculture > Area > Sunflowerseed	40%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree	39%	[plot \| correlate \| graph]
...and	Currency > Terms of trade since 1995	39%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of gas-natural	39%	[plot \| correlate \| graph]
...and	Crime > Bribery victims	38%	[plot \| correlate \| graph]
...and	Agriculture > Production > Sunflowerseed	37%	[plot \| correlate \| graph]
...and	Health > Abortions	37%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth (inverse)	36%	[plot \| correlate \| graph]
...and	Internet > Secure servers	35%	[plot \| correlate \| graph]
...and	Energy > Usage per person	35%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef (inverse)	33%	[plot \| correlate \| graph]
...and	People > Marriage rate	33%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	33%	[plot \| correlate \| graph]
...and	Health > Teen birth rate	33%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	32%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley (inverse)	32%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75 (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Births with health staff	30%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Heavy drinkers	30%	[plot \| correlate \| graph]
...and	Agriculture > Area > Rye	30%	[plot \| correlate \| graph]
...and	People > Child Protection > Birth registration, % of total	29%	[plot \| correlate \| graph]
...and	People > Child Protection > Birth registration, % of rural	29%	[plot \| correlate \| graph]
...and	Health > Obesity	29%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19 (inverse)	27%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption	27%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	27%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	27%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Years experience > Age 13	26%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19 (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	26%	[plot \| correlate \| graph]
...and	Labor > Working mothers (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female	26%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	25%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	25%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Criminal record holders	25%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40 (inverse)	25%	[plot \| correlate \| graph]
...and	Crime > Robbery victims	24%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 10-14 (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	24%	[plot \| correlate \| graph]
	Average:	34%

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: Carbon economic efficiency (CO2 emissions per dollar GDP)
Units: Metric Tons/US Dollar GDP

SOURCE: Carbon Dioxide Information Analysis Center

Correlations > Environment Statistics > Carbon efficiency

Correlations between Environment > Carbon efficiency ...

About Correlations:

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NOTES:

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