NationMaster - Correlations > Crime > Prisoners

	Variable	Strength
...and	Health > Abortions	71%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	65%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue (inverse)	62%	[plot \| correlate \| graph]
...and	Economy > Import growth > Duration 1993-2002	60%	[plot \| correlate \| graph]
...and	Military > Tanks	56%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	55%	[plot \| correlate \| graph]
...and	People > Size of houses	54%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	54%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	54%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	53%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	51%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female	49%	[plot \| correlate \| graph]
...and	People > Marriage rate	48%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development (inverse)	48%	[plot \| correlate \| graph]
...and	Agriculture > Area > Rye	47%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > ACVs	47%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Years experience > Age 13	47%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	46%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers (inverse)	46%	[plot \| correlate \| graph]
...and	Agriculture > Area > Barley	45%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Battle Tanks	44%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Artillery	43%	[plot \| correlate \| graph]
...and	Health > Obesity	43%	[plot \| correlate \| graph]
...and	Health > Child injury death index	42%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	41%	[plot \| correlate \| graph]
...and	Sports > Air Games > Silver medals	39%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	36%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	36%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	35%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share	34%	[plot \| correlate \| graph]
...and	Food > Coffee consumption (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Total expenditure as % of GDP (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Production > Rye	31%	[plot \| correlate \| graph]
...and	Economy > Imports ratio of GDP	31%	[plot \| correlate \| graph]
...and	Sports > Air Games > Gold Medals	31%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male	30%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Area > Oats	30%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting (inverse)	29%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye (inverse)	29%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Helicopters	29%	[plot \| correlate \| graph]
...and	Crime > Assault victims	29%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males	28%	[plot \| correlate \| graph]
...and	Labor > Female decision makers	28%	[plot \| correlate \| graph]
...and	People > Teenage birth rate	28%	[plot \| correlate \| graph]
...and	Health > Births with health staff	27%	[plot \| correlate \| graph]
	Average:	41%

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.

VIEW FOR THIS VARIABLE:

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: Data for 2003. Number of prisoners held per 100,000 population.

SOURCE: International Centre for Prison Studies - World Prison Brief

Correlations > Crime Statistics > Prisoners > Per capita

Correlations between Crime > Prisoners > Per capita ...

About Correlations:

VIEW FOR THIS VARIABLE:

NOTES:

Related links: