NationMaster - Correlations > Crime

	Variable	Strength
...and	People > Female population > Age 70-74 > % of the total (inverse)	60%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total	59%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total (inverse)	58%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	58%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total (inverse)	57%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	56%	[plot \| correlate \| graph]
...and	People > Total population > Age 65-69 > % of the total (inverse)	53%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39 (inverse)	53%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	51%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total (inverse)	51%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	51%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total	50%	[plot \| correlate \| graph]
...and	People > Male population > Age 70-74 > % of the total (inverse)	50%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	49%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths	49%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total	49%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	49%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young males	48%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total	48%	[plot \| correlate \| graph]
...and	Education > Reading literacy	45%	[plot \| correlate \| graph]
...and	People > Male population > Age 65-69 > % of the total (inverse)	44%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths (inverse)	43%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	43%	[plot \| correlate \| graph]
...and	Lifestyle > Amphetamine use	42%	[plot \| correlate \| graph]
...and	People > Male population > Age 75-79 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fish, dried salted smoked (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1998-2002	41%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood in rough squared	40%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female	40%	[plot \| correlate \| graph]
...and	Agriculture > Tractor concentration (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton (inverse)	38%	[plot \| correlate \| graph]
...and	Internet > Internet charges (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pottery (inverse)	38%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total	38%	[plot \| correlate \| graph]
...and	Health > Obesity	37%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	36%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	36%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Men (inverse)	36%	[plot \| correlate \| graph]
...and	People > Size of houses	35%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Hide skin excl fur raw (inverse)	35%	[plot \| correlate \| graph]
...and	People > Lone parent families	35%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Employees contribution (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Vegetables textile fibre excl cot ju (inverse)	34%	[plot \| correlate \| graph]
...and	People > Projected population growth	34%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Wildness	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 40-44 (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Water > Availability	33%	[plot \| correlate \| graph]
	Average:	44%

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 assault (as a % of the total population). Crime statistics are often better indicators of prevalence of law enforcement and willingness to report crime, than actual prevelence.

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

Correlations > Crime Statistics > Assault victims

Correlations between Crime > Assault victims ...

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NOTES:

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