NationMaster - Correlations > Crime > Suicide rates in ages 55-64

	Variable	Strength
...and	Crime > Suicide rates in ages 45-54	94%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 65-74	70%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Females	69%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 35-44	67%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Males	64%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	61%	[plot \| correlate \| graph]
...and	Crime > Property crime victims (inverse)	58%	[plot \| correlate \| graph]
...and	Food > Coffee consumption	48%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	48%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75	46%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	46%	[plot \| correlate \| graph]
...and	Crime > Total crime victims (inverse)	45%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	43%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	43%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	42%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Legal system	40%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance	40%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male	38%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in tertiary education (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 20%	35%	[plot \| correlate \| graph]
...and	Media > Public funding of broadcasters revenue per capita	35%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Quite happy	34%	[plot \| correlate \| graph]
...and	Crime > Death penalty > Abolition date (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 10%	33%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in secondary education	33%	[plot \| correlate \| graph]
...and	Agriculture > Organic cropland (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	32%	[plot \| correlate \| graph]
...and	People > Male population > Age 50-54 > % of the total	32%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female (inverse)	31%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Property tax (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Proportion of 18 year olds in tertiary education (inverse)	30%	[plot \| correlate \| graph]
...and	Geography > Forested Land	30%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	30%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Inflation > Duration 1990-2000 (inverse)	29%	[plot \| correlate \| graph]
...and	Religion > Church attendance (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female (inverse)	28%	[plot \| correlate \| graph]
...and	Education > Education spending (% Primary) (inverse)	27%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 25-34	27%	[plot \| correlate \| graph]
...and	People > Total population > Age 50-54 > % of the total	27%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	26%	[plot \| correlate \| graph]
...and	Education > Proportion of 18 year olds in secondary education	26%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of steelmaking and ferroalloying materials-unmanufacd (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of pulpwood and woodpulp	26%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development	26%	[plot \| correlate \| graph]
	Average:	39%

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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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 rates per 100,000 people in the given age group, late 1990s.

SOURCE: GECD Society at a Glance 2001, Statistical Annex Table D3

Correlations > Crime Statistics > Suicide rates in ages 55-64

Correlations between Crime > Suicide rates in ages 55-64 ...

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