NationMaster - Correlations > Environment > Pollution

	Variable	Strength
...and	Environment > Pollution > Nuclear waste efficiency	78%	[plot \| correlate \| graph]
...and	Environment > Water > Availability	73%	[plot \| correlate \| graph]
...and	Internet > Livejournal users	72%	[plot \| correlate \| graph]
...and	Health > Water availability	70%	[plot \| correlate \| graph]
...and	Internet > Internet Service Providers	62%	[plot \| correlate \| graph]
...and	Environment > Wildness	53%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 > % of the total	46%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84 > % of the total	44%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 > % of the total	40%	[plot \| correlate \| graph]
...and	Energy > Hydroelectricity Consumption > Million tonnes oil equivalent	40%	[plot \| correlate \| graph]
...and	Energy > Hydroelectricity Consumption > Terawatt-hours	40%	[plot \| correlate \| graph]
...and	Religion > Jews	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total	37%	[plot \| correlate \| graph]
...and	People > Total population > Age 95-99 > % of the total	36%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total	35%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Hydro	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total	34%	[plot \| correlate \| graph]
...and	Health > Daily smokers (inverse)	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 95-99 > % of the total	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total	32%	[plot \| correlate \| graph]
...and	Economy > Informal economy (inverse)	32%	[plot \| correlate \| graph]
...and	Military > Manpower > Military age (inverse)	31%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use	31%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Men (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	29%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total	29%	[plot \| correlate \| graph]
...and	Labor > Foreign labor force	29%	[plot \| correlate \| graph]
...and	Education > Education spending (% Tertiary)	28%	[plot \| correlate \| graph]
...and	People > Female population > Age 100-104 > % of the total	28%	[plot \| correlate \| graph]
...and	Education > Reading literacy	28%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	28%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	28%	[plot \| correlate \| graph]
...and	People > Total population > Age 100-104 > % of the total	27%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males (inverse)	26%	[plot \| correlate \| graph]
...and	Labor > Service workers > Male	26%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Employees contribution (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	25%	[plot \| correlate \| graph]
...and	Media > DVD region (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Strikes	24%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	24%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	23%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	22%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Fossil fuel (inverse)	22%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	22%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males	22%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	21%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	21%	[plot \| correlate \| graph]
...and	Education > Enrolment ratio > Secondary level	20%	[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: Per capita wastes from spent fuel arising in nuclear power plants, measured in terms of heavy metal.

SOURCE: Organization for Economic Cooperation and Development, Paris, France, OECD Environmental Data Compendium

Correlations > Environment Statistics > Pollution > Nuclear waste per capita

Correlations between Environment > Pollution > Nuclear waste per capita ...

About Correlations:

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NOTES:

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