FACTOID # 12: In pure number terms, more crimes are committed in America than in any other nation. The same goes for burglaries, car thefts, rapes and assaults.
 
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Correlations > Crime Statistics > Bribe payers index

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Correlations between Crime > Bribe payers index ...

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  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  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]
...and  Government > Parliamentary seats > Female 40% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Males 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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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

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