NationMaster - Correlations > Health > Respiratory disease deaths

	Variable	Strength
...and	Transportation > Cars (inverse)	63%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > ACVs (inverse)	59%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Artillery (inverse)	56%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Battle Tanks (inverse)	52%	[plot \| correlate \| graph]
...and	Food > Tea consumption	52%	[plot \| correlate \| graph]
...and	Disasters > Tsunami aid commitments as a percent of pledges	50%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Aircraft (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid	38%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	33%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development (inverse)	33%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75 (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service	32%	[plot \| correlate \| graph]
...and	Economy > Development assistance to LDCs	32%	[plot \| correlate \| graph]
...and	Environment > Endangered species protection (inverse)	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1980-2000	29%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single-income family (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Political orientation > Far left (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Acute care beds (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Heavy drinkers (inverse)	28%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single worker (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Leather manufactures (inverse)	27%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Quite happy (inverse)	27%	[plot \| correlate \| graph]
...and	People > Size of houses	27%	[plot \| correlate \| graph]
...and	Environment > Fertiliser consumption	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Aluminium ores concs etc	26%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption (inverse)	25%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Lower rate for dwellings	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Internal combustion engines (inverse)	25%	[plot \| correlate \| graph]
...and	Food > Beer consumption	25%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary (inverse)	24%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of sulfur and nonmetallic minerals	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Road motor vehicles nes (inverse)	24%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people	24%	[plot \| correlate \| graph]
...and	Health > Growth in health expenditure > Per annum	24%	[plot \| correlate \| graph]
...and	Energy > Nuclear waste generated	23%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Armed forces	23%	[plot \| correlate \| graph]
...and	Economy > Exports > High technology	23%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police	23%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	23%	[plot \| correlate \| graph]
...and	Military > Weapon holdings (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Tulle lace embr trim etc (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Material machine tools without mtl-removal (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary	22%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64	22%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	22%	[plot \| correlate \| graph]
...and	Food > Wine consumption (inverse)	22%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence %	21%	[plot \| correlate \| graph]
	Average:	30%

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: Diseases of the respiratory system deaths per 100,000 population (1995-1998)

SOURCE: World Health Organization

Correlations > Health Statistics > Respiratory disease deaths

Correlations between Health > Respiratory disease deaths ...

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