NationMaster - Correlations > Health > Years lived in ill health

	Variable	Strength
...and	Health > Percentage of life lived in ill health > Female	92%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male	65%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	65%	[plot \| correlate \| graph]
...and	Media > Phone subscribers (inverse)	63%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruits and nuts	60%	[plot \| correlate \| graph]
...and	Energy > Usage per person	59%	[plot \| correlate \| graph]
...and	Health > Child injury death index	56%	[plot \| correlate \| graph]
...and	Media > Mobile phones (inverse)	55%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at moderate literacy level (inverse)	55%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate	53%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance (inverse)	53%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	52%	[plot \| correlate \| graph]
...and	People > Male population > Age 60-64 > % of the total (inverse)	52%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	50%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruit juices	50%	[plot \| correlate \| graph]
...and	People > Sex ratio > 15-64 years (inverse)	50%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Per capita	49%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	49%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total	48%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	48%	[plot \| correlate \| graph]
...and	Media > Total broadcasters revenue per capita (inverse)	48%	[plot \| correlate \| graph]
...and	Health > Spending > Per person (inverse)	47%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 > % of the total	47%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	47%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth (inverse)	46%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 > % of the total	46%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total (inverse)	46%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at low literacy level	44%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy (inverse)	44%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	44%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	43%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 60-64 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	41%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Rural (inverse)	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 65-69 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	40%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share	40%	[plot \| correlate \| graph]
...and	Economy > Public institution index (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	39%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	38%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nuts and preparations	37%	[plot \| correlate \| graph]
...and	People > Size of houses	37%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	37%	[plot \| correlate \| graph]
	Average:	48%

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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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 years that females will live in ill health; estimated at birth. Data for 2001. See source for details.

SOURCE: OECD

Correlations > Health Statistics > Years lived in ill health > Female

Correlations between Health > Years lived in ill health > Female ...

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