NationMaster - Correlations > Food > Alcohol consumption

	Variable	Strength
...and	Food > Alcohol consumption > 1980	87%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 2000	82%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1970	75%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > Current	74%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people (inverse)	63%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960	53%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	51%	[plot \| correlate \| graph]
...and	Food > Wine consumption	50%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus (inverse)	49%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	46%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Urban	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus (inverse)	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	46%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	45%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Total	45%	[plot \| correlate \| graph]
...and	Health > Drinking water availability %	45%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13 (inverse)	44%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64 (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64 (inverse)	43%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > secondary level (inverse)	40%	[plot \| correlate \| graph]
...and	Education > Education spending (% Secondary)	39%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts (inverse)	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	38%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Political orientation > Far right (inverse)	38%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	37%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage	37%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total (inverse)	37%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total (inverse)	37%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male	36%	[plot \| correlate \| graph]
...and	Health > Maternal mortality (inverse)	36%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	35%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	35%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of cotton, raw (inverse)	34%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Criminal record holders (inverse)	34%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession	34%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services (inverse)	33%	[plot \| correlate \| graph]
...and	People > Projected population growth (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of commercial vessels, other (inverse)	33%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Jute bast fibre raw retd	32%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75	32%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share	32%	[plot \| correlate \| graph]
...and	Health > Acute care beds	31%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Standard rate (inverse)	30%	[plot \| correlate \| graph]
	Average:	43%

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: Alcohol consumption - Litres per capita by population aged above 15 in 1990.

SOURCE: OECD Health Data 2005

Correlations > Food Statistics > Alcohol consumption > 1990

Correlations between Food > Alcohol consumption > 1990 ...

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