NationMaster - Correlations > Crime

	Variable	Strength
...and	Labor > Female doctors	51%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths	49%	[plot \| correlate \| graph]
...and	Environment > Water > Freshwater pollution (inverse)	48%	[plot \| correlate \| graph]
...and	Government > Parliamentary seats > Female	48%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Radio broadcast receiver (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Reading literacy	39%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1980-2000 (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers (inverse)	39%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Employees contribution (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young males	38%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment	36%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female	35%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total	34%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1975-2000 (inverse)	34%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Hydro	33%	[plot \| correlate \| graph]
...and	Education > Education spending (% Primary) (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Bribery victims (inverse)	31%	[plot \| correlate \| graph]
...and	Media > Pay TV subscribers (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wool animal hair (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	29%	[plot \| correlate \| graph]
...and	People > Gender empowerment	29%	[plot \| correlate \| graph]
...and	Economy > Economic freedom	29%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians	29%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young females	29%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	28%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Other	28%	[plot \| correlate \| graph]
...and	Agriculture > Tractors (inverse)	28%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Worn clothing etc (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pottery (inverse)	27%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 > % of the total	27%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Hydrocarbons derivatives (inverse)	26%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24	26%	[plot \| correlate \| graph]
...and	Education > Scientific literacy	26%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight (inverse)	25%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Male	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tin (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Polyacetals polyesters (inverse)	25%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree (inverse)	25%	[plot \| correlate \| graph]
...and	Health > Water availability	25%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000 (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Human Development Index	25%	[plot \| correlate \| graph]
...and	Health > Circulatory disease deaths	24%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Carboxylic acid compound (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cutlery (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index	24%	[plot \| correlate \| graph]
...and	Agriculture > Workers per hectare (inverse)	24%	[plot \| correlate \| graph]
	Average:	31%

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: People victimized by sexual assault (as a % of the total population). Data refer to female population only. Crime statistics are often better indicators of prevalence of law enforcement and willingness to report crime, than actual prevalence.

SOURCE: UNICRI (United Nations Interregional Crime and Justice Research Institute). 2002. Correspondence on data on crime victims. March. Turin

Correlations > Crime Statistics > Rape victims

Correlations between Crime > Rape victims ...

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NOTES:

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