NationMaster - Correlations > Health > Suicide rate

	Variable	Strength
...and	Labor > Long term unemployment (inverse)	47%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy	46%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio (inverse)	44%	[plot \| correlate \| graph]
...and	Education > Scientific literacy	42%	[plot \| correlate \| graph]
...and	Agriculture > Area > Oats	42%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages	42%	[plot \| correlate \| graph]
...and	People > One person households	40%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	39%	[plot \| correlate \| graph]
...and	Agriculture > Production > Oats	38%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > ACVs	36%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Helicopters	35%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth (inverse)	34%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production (inverse)	34%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	33%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley (inverse)	32%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Battle Tanks	31%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	31%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Artillery	30%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	30%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24	30%	[plot \| correlate \| graph]
...and	Media > DVD region	29%	[plot \| correlate \| graph]
...and	Crime > Rape victims	29%	[plot \| correlate \| graph]
...and	Education > Reading literacy	28%	[plot \| correlate \| graph]
...and	Religion > Church attendance (inverse)	28%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	28%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female	27%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	27%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Proved reserves > Trillion cubic metres	26%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption	26%	[plot \| correlate \| graph]
...and	Environment > Expenditure pollution control as % of GDP	26%	[plot \| correlate \| graph]
...and	Economy > Fishing subsidies	25%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary (inverse)	25%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Garlic (inverse)	24%	[plot \| correlate \| graph]
...and	Education > Grade 1 intake rate (inverse)	24%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	24%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000	23%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 13	23%	[plot \| correlate \| graph]
...and	Health > Abortions	22%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Men (inverse)	22%	[plot \| correlate \| graph]
...and	Environment > Carbon efficiency	22%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	22%	[plot \| correlate \| graph]
...and	Health > Total expenditure on health as % of GDP (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > Exports > Goods and services	21%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 9 (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	20%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	20%	[plot \| correlate \| graph]
	Average:	29%

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: Suicide death rates (per 100,000 of population) among 15 to 24 year-olds, various countries, latest available data, 1991 to 1993

SOURCE: WHO, World Health Statistics Annual, 1994, Australian Bureau of Statistics, 1994

Correlations > Health Statistics > Suicide rate > Young females

Correlations between Health > Suicide rate > Young females ...

About Correlations:

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NOTES:

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