NationMaster - Correlations > Food

	Variable	Strength
...and	People > Total population > Age 90-94 > % of the total (inverse)	57%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total (inverse)	56%	[plot \| correlate \| graph]
...and	Education > Primary school girls out of school	55%	[plot \| correlate \| graph]
...and	Military > Weapon holdings (inverse)	55%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total (inverse)	54%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1980-2000	52%	[plot \| correlate \| graph]
...and	Health > Circulatory disease deaths	47%	[plot \| correlate \| graph]
...and	Economy > Import growth > Duration 1993-2002	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total (inverse)	43%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Synthetic organic colour agents (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel bars rods etc (inverse)	41%	[plot \| correlate \| graph]
...and	People > Disabled persons employment (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Growth in health expenditure > Per annum	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Butter and cheese	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	37%	[plot \| correlate \| graph]
...and	Energy > Hydroelectricity consumption (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel wire (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Quite happy (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Plastic tube pipe hose (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Base metal manufactures nes (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special yarns fabrics (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Endangered species protection (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pulp and waste paper (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Nails screws nuts bolts (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Economic freedom	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Iron steel wire (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1998-2002	32%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Imports of goods and services as % of GDP	31%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of sulfur and nonmetallic minerals	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Non-electrical parts accessories machines (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Metal machine tool parts (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Rotating electrical plant (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Nurses	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of pulp and paper machinery (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Coffee coffee substitute (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Ball roller bearings (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Special yarns fabrics (inverse)	30%	[plot \| correlate \| graph]
...and	Religion > Church attendance	29%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > DPT3 (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Youth unemployment (inverse)	29%	[plot \| correlate \| graph]
...and	Environment > Acidification	29%	[plot \| correlate \| graph]
	Average:	37%

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 beer consumed per person per year (2002).

SOURCE: Global Market Information Database, published by Euromonitor

Correlations > Food Statistics > Beer consumption

Correlations between Food > Beer consumption ...

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