NationMaster - Correlations > Crime

	Variable	Strength
...and	Lifestyle > Happiness level > Very happy	70%	[plot \| correlate \| graph]
...and	Environment > Waste generation	65%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	59%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net	56%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	55%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	51%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1975-2000 (inverse)	51%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	50%	[plot \| correlate \| graph]
...and	Health > Breast cancer incidence	48%	[plot \| correlate \| graph]
...and	Economy > Economic freedom	47%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Quite happy (inverse)	47%	[plot \| correlate \| graph]
...and	Lifestyle > Jobs for native citizens during recession (inverse)	45%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service	40%	[plot \| correlate \| graph]
...and	Agriculture > Tractors (inverse)	38%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood in rough squared (inverse)	37%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total	37%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths (inverse)	37%	[plot \| correlate \| graph]
...and	People > Urbanization	37%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of jewelry watches, rings, etc (inverse)	36%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence %	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton (inverse)	36%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	36%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total (inverse)	35%	[plot \| correlate \| graph]
...and	People > Elderly living in institution	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Steam generating boilers (inverse)	35%	[plot \| correlate \| graph]
...and	People > Urbanization in 1975	34%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	34%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	34%	[plot \| correlate \| graph]
...and	People > Projected population growth	33%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	33%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Emotionally unstable people (inverse)	33%	[plot \| correlate \| graph]
...and	People > Urbanization in 2015	33%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sorghum, barley, oats (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Meat nes, fresh chilled frozen	32%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tractors (inverse)	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total	32%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	31%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	31%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	31%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	30%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of miscellaneous nonferrous metals (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	30%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of hides and skins (inverse)	29%	[plot \| correlate \| graph]
	Average:	39%

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: Proportions in International Crime Victims Survey 2000 who feel they can report crimes to police - perception.

SOURCE: UN International Crime Victims' Survey

Correlations > Crime Statistics > Reporting to police

Correlations between Crime > Reporting to police ...

About Correlations:

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