NationMaster - Correlations > Health

	Variable	Strength
...and	Education > Duration of education > Secondary level	67%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male	56%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total	55%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level (inverse)	51%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of spacecraft, excluding military	50%	[plot \| correlate \| graph]
...and	People > Total population > Age 65-69 > % of the total	50%	[plot \| correlate \| graph]
...and	Education > Education spending (% Secondary)	50%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Education spending (% Primary) (inverse)	49%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of complete and assembled	48%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	47%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	45%	[plot \| correlate \| graph]
...and	People > Projected population growth (inverse)	45%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Total fertility rate (inverse)	44%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure) (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of engines and engine parts	42%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel railway material	42%	[plot \| correlate \| graph]
...and	Agriculture > Meat production growth (inverse)	41%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 65-69 > % of the total	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	39%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64 (inverse)	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total	37%	[plot \| correlate \| graph]
...and	Sports > Chess > International Masters	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	35%	[plot \| correlate \| graph]
...and	Environment > Protected area	35%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	34%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1980	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of other parts and accessories	34%	[plot \| correlate \| graph]
...and	Environment > SO2 emissions per populated area	34%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of steelmaking materials (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Transplants > Liver	33%	[plot \| correlate \| graph]
...and	Religion > Catholic > Parishes	33%	[plot \| correlate \| graph]
...and	Education > Library books	33%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	32%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share	32%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990	31%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single worker	31%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	31%	[plot \| correlate \| graph]
...and	Transportation > Vehicle abundance	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Iron ore concentrates	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of engines for civilian aircraft	30%	[plot \| correlate \| graph]
	Average:	40%

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: Number of beds for acute care per 1,000 people (Data is for 2001).

SOURCE: OECD Health Data 2004

Correlations > Health Statistics > Acute care beds

Correlations between Health > Acute care beds ...

About Correlations:

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NOTES:

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