NationMaster - Correlations > Energy

	Variable	Strength
...and	Energy > Commercial energy use	100%	[plot \| correlate \| graph]
...and	Energy > Wall plugs > Frequency	61%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	61%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male	60%	[plot \| correlate \| graph]
...and	Energy > Hydroelectricity Consumption > Million tonnes oil equivalent	59%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female	59%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39 (inverse)	59%	[plot \| correlate \| graph]
...and	Energy > Hydroelectricity Consumption > Terawatt-hours	59%	[plot \| correlate \| graph]
...and	Environment > Wildness	58%	[plot \| correlate \| graph]
...and	Economy > Fishing subsidies	57%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	56%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	55%	[plot \| correlate \| graph]
...and	People > Gender development	55%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	55%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 40-44 (inverse)	55%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide per capita	55%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood chips waste	53%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Petrol hydrocarbon gas	52%	[plot \| correlate \| graph]
...and	People > Chinese population	51%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Aluminium ores concs etc	49%	[plot \| correlate \| graph]
...and	Health > Daily smokers (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	48%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption	48%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nuts and preparations	47%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott	46%	[plot \| correlate \| graph]
...and	Environment > Known breeding bird species	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Furskins pieces, raw	45%	[plot \| correlate \| graph]
...and	People > One person households	44%	[plot \| correlate \| graph]
...and	Labor > Female professionals	43%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment	43%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of vessels, excluding scrap	42%	[plot \| correlate \| graph]
...and	Food > Wine consumption (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of cotton fiber cloth	42%	[plot \| correlate \| graph]
...and	Health > Water availability	41%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	41%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	40%	[plot \| correlate \| graph]
...and	Economy > Business efficiency	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Liquid propane butane	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc non-ferrous base metal	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cereal grains nes	39%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	39%	[plot \| correlate \| graph]
...and	Food > Subway resturants	39%	[plot \| correlate \| graph]
...and	Media > Mobile phones (inverse)	39%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	39%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of coal and related fuels	38%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruit juices	38%	[plot \| correlate \| graph]
...and	Environment > Known mammal species	37%	[plot \| correlate \| graph]
...and	Internet > Secure servers	37%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	37%	[plot \| correlate \| graph]
	Average:	49%

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: Total primary energy supply TOE (tonnes of oil equivalent) per person (Year 2000).

SOURCE: lEA, Energy Balances of OECD Countries 1999-2000 (lEA, Paris, 2001)

Correlations > Energy Statistics > Usage per person

Correlations between Energy > Usage per person ...

About Correlations:

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NOTES:

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