NationMaster - Correlations > Crime > Property crime victims

	Variable	Strength
...and	Crime > Total crime victims	69%	[plot \| correlate \| graph]
...and	People > Size of houses	63%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64 (inverse)	58%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	55%	[plot \| correlate \| graph]
...and	Economy > Import growth	54%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged (inverse)	53%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Females (inverse)	52%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	52%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75 (inverse)	51%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54 (inverse)	48%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wool animal hair	47%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	46%	[plot \| correlate \| graph]
...and	Media > Television reception by terrestrial means	46%	[plot \| correlate \| graph]
...and	Agriculture > Tractor concentration (inverse)	44%	[plot \| correlate \| graph]
...and	Lifestyle > Amphetamine use	42%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 65-74 (inverse)	41%	[plot \| correlate \| graph]
...and	Environment > SO2 exports	41%	[plot \| correlate \| graph]
...and	Health > Obesity	40%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers (inverse)	37%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree	36%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females	36%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cotton	35%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Bronze > Sydney 2000	34%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development (inverse)	34%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth	34%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production	34%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary	34%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	33%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 35-44 (inverse)	33%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in secondary education (inverse)	33%	[plot \| correlate \| graph]
...and	Agriculture > Organic cropland	33%	[plot \| correlate \| graph]
...and	Food > Coffee consumption (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of parts for military-type goods	32%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Silver > Sydney 2000	32%	[plot \| correlate \| graph]
...and	Health > Hospital beds (inverse)	31%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	31%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Males (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > Commitment to foreign aid (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Crude animal material nes	29%	[plot \| correlate \| graph]
...and	Crime > Death penalty > Abolition date	28%	[plot \| correlate \| graph]
...and	Economy > Population below median income	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of pleasure boats and motors	28%	[plot \| correlate \| graph]
...and	Media > Television reception through satellite (inverse)	27%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Animal oil fat	27%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	27%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > Advanced research degree	26%	[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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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 property crime (as a % of the total population). Includes car theft, theft from car, burglary with entry and attempted burglary. 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 > Property crime victims

Correlations between Crime > Property crime victims ...

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