NationMaster - Correlations > Crime > Suicide rates in ages above 75

	Variable	Strength
...and	Crime > Suicide rates in ages 65-74	79%	[plot \| correlate \| graph]
...and	Education > Student attitude > Find school boring (inverse)	64%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	52%	[plot \| correlate \| graph]
...and	Crime > Property crime victims (inverse)	51%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	50%	[plot \| correlate \| graph]
...and	Crime > Total crime victims (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	49%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in tertiary education (inverse)	47%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64	46%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	44%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Primary level	44%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Immigrants	44%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females (inverse)	43%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree (inverse)	43%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Criminal record holders (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 45-49	41%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 40-44	37%	[plot \| correlate \| graph]
...and	Media > Television reception through satellite	37%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	36%	[plot \| correlate \| graph]
...and	People > Male population > Age 25-29 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Armed forces (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1998-2002 (inverse)	35%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	34%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	33%	[plot \| correlate \| graph]
...and	Crime > Assault victims (inverse)	33%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29 > % of the total (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Respiratory disease deaths (inverse)	32%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990	32%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	32%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Monofilament rods sticks	31%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total	31%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	31%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total	31%	[plot \| correlate \| graph]
...and	Environment > Carbon efficiency (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Gender ratio (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Obesity (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > Advanced research degree (inverse)	30%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 > % of the total (inverse)	30%	[plot \| correlate \| graph]
...and	Internet > Livejournal users (inverse)	29%	[plot \| correlate \| graph]
...and	People > Total population > Age 65-69 > % of the total	29%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	29%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Corporate income tax (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Female decision makers (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male	28%	[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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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 above 75

Correlations between Crime > Suicide rates in ages above 75 ...

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