NationMaster - Correlations > Health

	Variable	Strength
...and	Lifestyle > Political action > Joined a boycott (inverse)	78%	[plot \| correlate \| graph]
...and	Lifestyle > Freedom in decision making (inverse)	61%	[plot \| correlate \| graph]
...and	Health > Daily smokers > 1990	49%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron ore concentrates (inverse)	45%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Cucumbers and gherkins (inverse)	44%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Urd mung black or green gram beans (inverse)	42%	[plot \| correlate \| graph]
...and	Environment > Wildness (inverse)	40%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	37%	[plot \| correlate \| graph]
...and	Environment > Areas under protection (inverse)	36%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita (inverse)	35%	[plot \| correlate \| graph]
...and	Energy > Coal Production > Million tonnes oil equivalent (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Tobacco > Total adult smokers	35%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession	35%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Immigrants	34%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nuclear waste per capita (inverse)	34%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions (inverse)	34%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > Second degree (inverse)	33%	[plot \| correlate \| graph]
...and	Energy > Coal Production > Million tonnes (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Tobacco > Cigarette consumption	32%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary (inverse)	32%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	31%	[plot \| correlate \| graph]
...and	Industry > Electrolux Factories (inverse)	31%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers	31%	[plot \| correlate \| graph]
...and	Labor > Female economic activity (inverse)	31%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties (inverse)	31%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Armed forces (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of newsprint (inverse)	29%	[plot \| correlate \| graph]
...and	People > Couples with children	29%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950 (inverse)	29%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional (inverse)	29%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Women (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Working time to buy fish	28%	[plot \| correlate \| graph]
...and	Education > Student attitude > Find school boring (inverse)	27%	[plot \| correlate \| graph]
...and	Education > Primary teacher age > Proportion aged 50-59 (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > Commitment to foreign aid	27%	[plot \| correlate \| graph]
...and	Energy > Coal production in 1981 (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef	27%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59 (inverse)	25%	[plot \| correlate \| graph]
...and	Media > Total broadcasters revenue per capita	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34	25%	[plot \| correlate \| graph]
...and	Education > Universities > Top 100 (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Leather (inverse)	25%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education (inverse)	25%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Personal income tax (inverse)	25%	[plot \| correlate \| graph]
	Average:	33%

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: Data on tobacco consumption - this is a percentage of the total population who smoke at least one cigarette a day.(Data for Portugal and Austria is from 2002. All other data is from 2003).

SOURCE: OECD Health Data 2005

Correlations > Health Statistics > Daily smokers

Correlations between Health > Daily smokers ...

About Correlations:

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NOTES:

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