NationMaster - Correlations > Crime

	Variable	Strength
...and	Economy > Human Development Index (inverse)	93%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	88%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index (inverse)	78%	[plot \| correlate \| graph]
...and	Economy > Economic freedom (inverse)	77%	[plot \| correlate \| graph]
...and	Economy > Public institution index (inverse)	77%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Male	76%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars (inverse)	75%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Female	75%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	71%	[plot \| correlate \| graph]
...and	Agriculture > Labor share	70%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score (inverse)	69%	[plot \| correlate \| graph]
...and	Media > Phone subscribers (inverse)	69%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration	66%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29 > % of the total	66%	[plot \| correlate \| graph]
...and	People > Female population > Age 25-29 > % of the total	66%	[plot \| correlate \| graph]
...and	People > Male population > Age 25-29 > % of the total	65%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	65%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female (inverse)	64%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 > % of the total	64%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 > % of the total	64%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total	63%	[plot \| correlate \| graph]
...and	Economy > Innovation (inverse)	63%	[plot \| correlate \| graph]
...and	Labor > Service workers > Male (inverse)	58%	[plot \| correlate \| graph]
...and	Economy > Overall productivity > PPP (inverse)	56%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness (inverse)	54%	[plot \| correlate \| graph]
...and	Health > Drug access (inverse)	53%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel (inverse)	52%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Male (inverse)	52%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence % (inverse)	51%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage	51%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total (inverse)	51%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > Research and development spending (inverse)	49%	[plot \| correlate \| graph]
...and	Economy > Inflation > Duration 1990-2000	48%	[plot \| correlate \| graph]
...and	Media > Fax machines (inverse)	47%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000	44%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female (inverse)	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 50-54 > % of the total	42%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female	41%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females	41%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males (inverse)	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 40-44 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 40-44 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance (inverse)	39%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years	39%	[plot \| correlate \| graph]
...and	Economy > Exports > High technology (inverse)	39%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Female (inverse)	38%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use (inverse)	38%	[plot \| correlate \| graph]
	Average:	57%

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 bribery (corruption) (as a % of the total population). Data refer to people who have been asked or expected to pay a bribe by a government official. 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 > Bribery victims

Correlations between Crime > Bribery victims ...

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