NationMaster - Correlations > Education > Educational attainment

	Variable	Strength
...and	Food > Wine consumption (inverse)	65%	[plot \| correlate \| graph]
...and	People > Male population > Age 35-39 > % of the total (inverse)	59%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total (inverse)	55%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39 > % of the total (inverse)	50%	[plot \| correlate \| graph]
...and	Education > Duration of education > Secondary level (inverse)	50%	[plot \| correlate \| graph]
...and	Energy > Usage per person	49%	[plot \| correlate \| graph]
...and	Health > Practising physicians (inverse)	49%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use	49%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	49%	[plot \| correlate \| graph]
...and	Economy > Business efficiency	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Briquettes lignite peat (inverse)	41%	[plot \| correlate \| graph]
...and	Education > Reading literacy	38%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption (inverse)	38%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions	38%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	37%	[plot \| correlate \| graph]
...and	Media > Mobile phones (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Women girl clothing woven (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of wheat (inverse)	37%	[plot \| correlate \| graph]
...and	Education > Education spending (% Secondary) (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Technological achievement	37%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960 (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	36%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1970 (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cereal grains nes (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	36%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police	35%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total	35%	[plot \| correlate \| graph]
...and	Economy > Fishing subsidies	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Mens boys wear, woven (inverse)	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 > % of the total	35%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39 (inverse)	34%	[plot \| correlate \| graph]
...and	People > One person households	34%	[plot \| correlate \| graph]
...and	Environment > Ecological footprint	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 > % of the total	34%	[plot \| correlate \| graph]
...and	Energy > Wall plugs > Voltage (inverse)	33%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Pre-trial detainees (inverse)	33%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of coal and related fuels	33%	[plot \| correlate \| graph]
...and	Internet > Secure servers	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total	32%	[plot \| correlate \| graph]
...and	Health > Daily smokers (inverse)	32%	[plot \| correlate \| graph]
...and	Environment > Wildness	32%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total	32%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fruit nuts, fresh dried (inverse)	32%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total	32%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of apparel and household goods-wool	32%	[plot \| correlate \| graph]
...and	People > Gender development	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Headgear non-textile clothing (inverse)	31%	[plot \| correlate \| graph]
...and	Energy > Wall plugs > Frequency	31%	[plot \| correlate \| graph]
	Average:	38%

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: Percentage of adult population (aged 25-64) educated till tertiary level (year 2000).

SOURCE: OECD Education at a Glance: OECD Indicators 2003

Correlations > Education Statistics > Educational attainment > Tertiary

Correlations between Education > Educational attainment > Tertiary ...

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NOTES:

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