NationMaster - Correlations > Health > Public spending as % of total

	Variable	Strength
...and	Health > Private expenditure on health as % of total expenditure on health (inverse)	100%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	68%	[plot \| correlate \| graph]
...and	Environment > Threatened species (inverse)	65%	[plot \| correlate \| graph]
...and	Health > Spending > Private (inverse)	60%	[plot \| correlate \| graph]
...and	Environment > Known reptile species (inverse)	60%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	59%	[plot \| correlate \| graph]
...and	Agriculture > Cotton stocks (inverse)	58%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 20%	57%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 12 (inverse)	56%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nonmonetary gold (inverse)	55%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of zinc (inverse)	55%	[plot \| correlate \| graph]
...and	Environment > Breeding birds threatened (inverse)	54%	[plot \| correlate \| graph]
...and	Environment > Known mammal species (inverse)	54%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 10%	54%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	53%	[plot \| correlate \| graph]
...and	Environment > Threatened species > Mammal (inverse)	53%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate (inverse)	52%	[plot \| correlate \| graph]
...and	Geography > Largest city population (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	50%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure) (inverse)	47%	[plot \| correlate \| graph]
...and	Environment > Known breeding bird species (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of cane and beet sugar (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	43%	[plot \| correlate \| graph]
...and	Terrorism > Global Terrorism Indicator (inverse)	43%	[plot \| correlate \| graph]
...and	Agriculture > Cotton use (inverse)	42%	[plot \| correlate \| graph]
...and	Military > Manpower > Reaching military age annually > Males (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Electrical equipment nes (inverse)	41%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 (inverse)	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 (inverse)	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Electrical power transmission equipment (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	40%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	40%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 (inverse)	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of cotton, raw (inverse)	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 (inverse)	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 (inverse)	39%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Knit crochet fabrics (inverse)	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 25-29 (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	39%	[plot \| correlate \| graph]
...and	Energy > Wall plugs > Voltage	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 (inverse)	38%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	38%	[plot \| correlate \| graph]
...and	Health > Child maltreatment deaths (inverse)	38%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 (inverse)	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29 (inverse)	38%	[plot \| correlate \| graph]
	Average:	47%

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: Public expenditure on health as a % of total expenditure on health (Data for year 2002).

SOURCE: OECD Health Data 2004

Correlations > Health Statistics > Public spending as % of total

Correlations between Health > Public spending as % of total ...

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