NationMaster - Correlations > Crime

	Variable	Strength
...and	People > Gender empowerment	78%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction	69%	[plot \| correlate \| graph]
...and	Economy > Public institution index	64%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	64%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	60%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973	60%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	58%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	57%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	56%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	56%	[plot \| correlate \| graph]
...and	Agriculture > Cotton imports (inverse)	56%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction inequality (inverse)	55%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers (inverse)	54%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male	54%	[plot \| correlate \| graph]
...and	Crime > Software piracy rate (inverse)	54%	[plot \| correlate \| graph]
...and	Economy > Economic freedom	53%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance	53%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1975-2000 (inverse)	52%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Headgear non-textile clothing (inverse)	51%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000 (inverse)	51%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Television receivers (inverse)	49%	[plot \| correlate \| graph]
...and	People > Gender development	49%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	48%	[plot \| correlate \| graph]
...and	Economy > Innovation	48%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel (inverse)	47%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Watches and clocks (inverse)	46%	[plot \| correlate \| graph]
...and	People > Male population > Age 30-34 > % of the total (inverse)	46%	[plot \| correlate \| graph]
...and	People > Male population > Age 25-29 > % of the total (inverse)	46%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment	46%	[plot \| correlate \| graph]
...and	Democracy > Civil and political liberties	45%	[plot \| correlate \| graph]
...and	Economy > Human Development Index	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Photographic equipment (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	45%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 > % of the total	44%	[plot \| correlate \| graph]
...and	Crime > Prisoners (inverse)	44%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84 > % of the total	43%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians	43%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	43%	[plot \| correlate \| graph]
...and	Economy > Inflation > Duration 1990-2000 (inverse)	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total	43%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	42%	[plot \| correlate \| graph]
...and	Military > Weapon holdings (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Meat production growth (inverse)	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy (inverse)	41%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	40%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	40%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Personal income tax	40%	[plot \| correlate \| graph]
	Average:	49%

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: The index ranks the leading exporting countries in terms of the degree to which their companies are perceived to be paying bribes. The scale is from 0 to 10, where 10 represents negligible bribery and 0 a very high level of bribery. Based on a survey of nearly 800 business executives conducted in 14 emerging-market countries.

SOURCE: Transparency International

Correlations > Crime Statistics > Bribe payers index

Correlations between Crime > Bribe payers index ...

About Correlations:

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NOTES:

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