NationMaster - Correlations > Labor > Unemployment and education

	Variable	Strength
...and	Labor > Unemployment	81%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Upper secondary	76%	[plot \| correlate \| graph]
...and	Labor > Youth unemployment	71%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	62%	[plot \| correlate \| graph]
...and	Agriculture > Cotton imports	53%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Furskins tanned dressed	49%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Quite happy	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fish shellfish, prepared pressed	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Crustaceans molluscs etc	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton fabrics, woven	43%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cereal meal flour nes	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pig iron etc ferro alloy	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Ships boats etc	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Base metal manufactures nes	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Trunks and cases	39%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	39%	[plot \| correlate \| graph]
...and	Agriculture > Tractors	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Copper	38%	[plot \| correlate \| graph]
...and	Religion > Catholic > Permanent Deacons	38%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Regulation > Hiring	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Tulle lace embr trim etc	36%	[plot \| correlate \| graph]
...and	Education > Student attitude > Report class disorder	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Furskins tanned dressed	36%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of leather and furs	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Ball roller bearings	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Manufactured fertilizers	35%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of plywood and veneers	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Headgear non-textile clothing	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Primary products iron steel	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Trunks and cases	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of jewelry watches, rings, etc	34%	[plot \| correlate \| graph]
...and	Military > Weapon holdings	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Paper industry machinery	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Footwear	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Special yarns fabrics	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fans filters gas pumps	33%	[plot \| correlate \| graph]
...and	Media > Television reception by terrestrial means	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Material machine tools without mtl-removal	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel bars rods etc	33%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Passenger cars etc	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special yarns fabrics	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cine fild developed	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Women girl clothing woven	32%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of marine engines, parts	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Articles of apparel nes	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fish, live fresh chilled frozen	32%	[plot \| correlate \| graph]
	Average:	40%

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: Unemployment rates among people of all ages who are educated to tertiary levels. Data is for 2000.

SOURCE: OECD, Employment Outlook 2002

Correlations > Labor Statistics > Unemployment and education > Tertiary

Correlations between Labor > Unemployment and education > Tertiary ...

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