NationMaster - Correlations > Health > Tobacco

	Variable	Strength
...and	Health > Malaria % under-fives with fever receiving anti-malarial drugs	59%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult female smokers	54%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers	50%	[plot \| correlate \| graph]
...and	Health > Daily smokers > 1990	47%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties (inverse)	43%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Mandarins clementines and similar citrus (inverse)	41%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females (inverse)	40%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Daily smokers	35%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality	34%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Personal income tax (inverse)	33%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita (inverse)	33%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males (inverse)	29%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions (inverse)	29%	[plot \| correlate \| graph]
...and	Energy > Coal Production > Million tonnes oil equivalent > Share of total (inverse)	28%	[plot \| correlate \| graph]
...and	Agriculture > Area > Sorghum (inverse)	28%	[plot \| correlate \| graph]
...and	Immigration > Refugees > US applications otherwise closed (inverse)	26%	[plot \| correlate \| graph]
...and	Energy > Coal Production > Million tonnes oil equivalent (inverse)	26%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	25%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	25%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	24%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students (inverse)	24%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females (inverse)	24%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	23%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	23%	[plot \| correlate \| graph]
...and	Labor > Working mothers (inverse)	22%	[plot \| correlate \| graph]
...and	Environment > Known reptile species (inverse)	22%	[plot \| correlate \| graph]
...and	Labor > Total work time > Males	20%	[plot \| correlate \| graph]
...and	Labor > Trade union membership (inverse)	20%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Dates	20%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	20%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight	20%	[plot \| correlate \| graph]
...and	Food > Total spirit consumption	19%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages (inverse)	19%	[plot \| correlate \| graph]
...and	Labor > Total work time > Females	18%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	18%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total (inverse)	18%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional (inverse)	17%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education (inverse)	17%	[plot \| correlate \| graph]
...and	Media > Pay TV subscribers	17%	[plot \| correlate \| graph]
...and	Industry > Electrolux Factories (inverse)	17%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Natural rubber latex etc (inverse)	17%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum	17%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Prunes	16%	[plot \| correlate \| graph]
...and	People > Persons per room (inverse)	16%	[plot \| correlate \| graph]
...and	People > Couples with children	16%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total (inverse)	16%	[plot \| correlate \| graph]
...and	Environment > Expenditure pollution control as % of GDP	16%	[plot \| correlate \| graph]
	Average:	26%

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 adults smoking

SOURCE: World Health Organization2005

Correlations > Health Statistics > Tobacco > Total adult smokers

Correlations between Health > Tobacco > Total adult smokers ...

About Correlations:

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NOTES:

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