NationMaster - Correlations > Health > Digestive disease deaths

	Variable	Strength
...and	Labor > Industrial workers > Male	68%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	53%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	52%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	52%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	52%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990	51%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males (inverse)	51%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	48%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level (inverse)	48%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 65-74	46%	[plot \| correlate \| graph]
...and	Education > Education spending (% Secondary)	45%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males	44%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured	43%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	43%	[plot \| correlate \| graph]
...and	People > Persons per room	43%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of fish and shellfish (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary (inverse)	40%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75	40%	[plot \| correlate \| graph]
...and	Food > Wine consumption	39%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Standard rate (inverse)	38%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1970	37%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession	36%	[plot \| correlate \| graph]
...and	Environment > Wildness (inverse)	35%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1980	34%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64 (inverse)	33%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage	33%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure) (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Jobs for native citizens during recession	33%	[plot \| correlate \| graph]
...and	People > Male population > Age 100-104 > % of the total (inverse)	33%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree	32%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Acute care beds	32%	[plot \| correlate \| graph]
...and	Labor > Service workers > Male (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	31%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary (inverse)	30%	[plot \| correlate \| graph]
...and	Media > Telecommunications revenue (inverse)	30%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	30%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	30%	[plot \| correlate \| graph]
...and	People > Couples with children	30%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64	30%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people (inverse)	29%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	29%	[plot \| correlate \| graph]
	Average:	39%

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 digestive system deaths per 100,000 population (1995-1998)

SOURCE: World Health Organization

Correlations > Health Statistics > Digestive disease deaths

Correlations between Health > Digestive disease deaths ...

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