NationMaster - Correlations > Food > Alcohol consumption

	Variable	Strength
...and	Food > Alcohol consumption > 1990	87%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1970	85%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 2000	68%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > Current	63%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people (inverse)	63%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960	61%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus (inverse)	57%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	57%	[plot \| correlate \| graph]
...and	Food > Wine consumption	56%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	54%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus (inverse)	52%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Total	51%	[plot \| correlate \| graph]
...and	Health > Drinking water availability %	51%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64 (inverse)	49%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services (inverse)	48%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64 (inverse)	45%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Urban	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts (inverse)	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Jute bast fibre raw retd	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage	40%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Health > % of population using improved drinking water sources > Rural	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Education spending (% Secondary)	38%	[plot \| correlate \| graph]
...and	Religion > Catholic > Diocesan priests	38%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > secondary level (inverse)	38%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	36%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Political orientation > Far right (inverse)	35%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	35%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue	35%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13 (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	34%	[plot \| correlate \| graph]
...and	Health > Acute care beds	34%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	33%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported (inverse)	33%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	33%	[plot \| correlate \| graph]
...and	Health > Transplants > Liver	32%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total	32%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of cotton, raw (inverse)	31%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Criminal record holders (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Natural gas	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Footwear	29%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	29%	[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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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: Alcohol consumption - Litres per capita by population aged above 15 in 1980. Data not available for South Korea.

SOURCE: OECD Health Data 2005

Correlations > Food Statistics > Alcohol consumption > 1980

Correlations between Food > Alcohol consumption > 1980 ...

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