NationMaster - Correlations > Labor > Long term unemployment

	Variable	Strength
...and	Labor > Youth unemployment	67%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share	61%	[plot \| correlate \| graph]
...and	People > Persons per room	60%	[plot \| correlate \| graph]
...and	Economy > Public institution index (inverse)	58%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score (inverse)	56%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	50%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary	48%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young females (inverse)	47%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index (inverse)	47%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women (inverse)	46%	[plot \| correlate \| graph]
...and	Democracy > Civil and political liberties (inverse)	46%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	45%	[plot \| correlate \| graph]
...and	Lifestyle > Somewhat interested in politics (inverse)	45%	[plot \| correlate \| graph]
...and	Crime > Robbery victims	45%	[plot \| correlate \| graph]
...and	Economy > Economic freedom (inverse)	44%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	43%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	43%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	43%	[plot \| correlate \| graph]
...and	People > Gender empowerment (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	42%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Spending > Per person (inverse)	41%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	40%	[plot \| correlate \| graph]
...and	Transportation > Motor vehicles (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	40%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Regulation > Employment Conditions	39%	[plot \| correlate \| graph]
...and	Labor > Unemployment	39%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure) (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950 (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973 (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > Innovation (inverse)	37%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction inequality	37%	[plot \| correlate \| graph]
...and	Labor > Regulation	37%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Informal economy	37%	[plot \| correlate \| graph]
...and	Labor > Service workers > Male (inverse)	37%	[plot \| correlate \| graph]
...and	Education > Proportion of 15 year-olds in secondary education (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Electric current (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with degree > Age 13	35%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section	35%	[plot \| correlate \| graph]
...and	Media > Phone subscribers (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	34%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	34%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Legal system (inverse)	33%	[plot \| correlate \| graph]
...and	People > Couples with children	33%	[plot \| correlate \| graph]
	Average:	42%

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: Long term unemployment as a % of labour force, 2000. Long term implies 12 months or longer.

SOURCE: OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris

Correlations > Labor Statistics > Long term unemployment

Correlations between Labor > Long term unemployment ...

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