NationMaster - Correlations > Health

	Variable	Strength
...and	People > Teenage birth rate	81%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share	81%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	66%	[plot \| correlate \| graph]
...and	Internet > Secure servers	64%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	60%	[plot \| correlate \| graph]
...and	Education > Universities > Top 100	60%	[plot \| correlate \| graph]
...and	Health > Obesity	60%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	58%	[plot \| correlate \| graph]
...and	Health > Spending > Per person (inverse)	50%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	49%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	49%	[plot \| correlate \| graph]
...and	People > Marriage rate	47%	[plot \| correlate \| graph]
...and	Labor > Female decision makers	45%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure	45%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	45%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	43%	[plot \| correlate \| graph]
...and	People > Size of houses	43%	[plot \| correlate \| graph]
...and	Health > Health care funding > Private per capita (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	42%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male	41%	[plot \| correlate \| graph]
...and	Economy > Fishing subsidies	41%	[plot \| correlate \| graph]
...and	Military > Conventional arms exports	40%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	39%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pigments paints varnish (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	38%	[plot \| correlate \| graph]
...and	Internet > Broadband access	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Synthetic organic colour agents (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Heavy petrol bitum oils (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Female professionals	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Other organic compounds (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Nitrogen function compounds (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood manufactures nes (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Child maltreatment deaths	35%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Foreign prisoners (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	34%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Misc manufactures articles nes (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Musical instruments records (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pharmaceuticals excl medicaments (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Crude vegetables materials nes (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Household garden chemicals (inverse)	33%	[plot \| correlate \| graph]
	Average:	43%

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: Average number of births for every 1,000 girls aged 15 to 19

SOURCE: United Nations Population Division, World Population Prospects: The 1994 Revision, 1994

Correlations > Health Statistics > Teen birth rate

Correlations between Health > Teen birth rate ...

About Correlations:

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NOTES:

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