NationMaster - Correlations > Food

	Variable	Strength
...and	Food > Alcohol consumption > 1970	75%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Pre-trial detainees	70%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960	67%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	67%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary (inverse)	65%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1980	56%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	55%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts (inverse)	54%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Trunks and cases	52%	[plot \| correlate \| graph]
...and	Health > Practising physicians	51%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pharmaceuticals excl medicaments	50%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990	50%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Synthetic organic colour agents	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Iron steel bars rods etc	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Plastic tube pipe hose	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Crustaceans molluscs etc	45%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Tulle lace embr trim etc	43%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	42%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage	42%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fish shellfish, prepared pressed	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Base metal manufactures nes	41%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Articles of apparel nes	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Metal machine tool parts	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Monofilament rods sticks	40%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Copper	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Trunks and cases	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 95-99 > % of the total	39%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Women girl clothing woven	38%	[plot \| correlate \| graph]
...and	Health > Measles immunization (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Agriculture machine excl tractors	38%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cork manufactures	37%	[plot \| correlate \| graph]
...and	Religion > Catholic > Permanent Deacons	36%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Mens boys wear, woven	36%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Articles nes of plastics	35%	[plot \| correlate \| graph]
...and	Education > Duration of education > Secondary level	35%	[plot \| correlate \| graph]
...and	Economy > Technology index (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Headgear non-textile clothing	35%	[plot \| correlate \| graph]
	Average:	45%

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: Litres of wine consumed per person per year (2002).

SOURCE: Global Market Information Database, published by Euromonitor

Correlations > Food Statistics > Wine consumption

Correlations between Food > Wine consumption ...

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