NationMaster - Correlations > Labor > Long term unemployment

	Variable	Strength
...and	Labor > Long term unemployment	61%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	57%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	57%	[plot \| correlate \| graph]
...and	People > Couples with children	54%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary	53%	[plot \| correlate \| graph]
...and	People > Projected population growth (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure) (inverse)	47%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	46%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13	46%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	43%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	43%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	41%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	41%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of fish and shellfish (inverse)	40%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	40%	[plot \| correlate \| graph]
...and	Environment > Wildness (inverse)	39%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	38%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Orange juice (inverse)	38%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	36%	[plot \| correlate \| graph]
...and	Health > Death from cancer	36%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Petrol bitum oil, crude (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59 (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women (inverse)	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total	35%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Child maltreatment deaths (inverse)	35%	[plot \| correlate \| graph]
...and	Environment > Non-wildness	35%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Standard rate (inverse)	34%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24 (inverse)	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59 (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Total fertility rate (inverse)	33%	[plot \| correlate \| graph]
...and	Food > Wine consumption	32%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64 (inverse)	32%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Hydro (inverse)	32%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990	32%	[plot \| correlate \| graph]
...and	Health > Acute care beds	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total	31%	[plot \| correlate \| graph]
...and	Health > Tobacco > Cigarette consumption	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64 (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth (inverse)	30%	[plot \| correlate \| graph]
...and	Lifestyle > Somewhat interested in politics (inverse)	30%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott (inverse)	29%	[plot \| correlate \| graph]
...and	Military > Armed forces growth (inverse)	29%	[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 share of unemployment that lasts longer than 12 months. Data for 2001.

SOURCE: OECD

Correlations > Labor Statistics > Long term unemployment > Share

Correlations between Labor > Long term unemployment > Share ...

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