NationMaster - Correlations > Military

	Variable	Strength
...and	Lifestyle > Undesirable neighbours > People with AIDS	48%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820 (inverse)	48%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13 (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Proportion of 20 year olds in tertiary education (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13 (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > Certified ISO companies (inverse)	34%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages (inverse)	30%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single worker (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Proportion of 19 year olds in tertiary education (inverse)	27%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary (inverse)	27%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Black red or white currants and gooseberries	27%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Net social expenditure > % of GDP (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth	26%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef	24%	[plot \| correlate \| graph]
...and	Health > Acute care beds (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Proportion of 18 year olds in tertiary education (inverse)	23%	[plot \| correlate \| graph]
...and	Food > Pork consumption per capita (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in secondary education (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900 (inverse)	21%	[plot \| correlate \| graph]
...and	Sports > Air Games > Total medals (inverse)	21%	[plot \| correlate \| graph]
...and	Crime > Bribery victims	21%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sunflowerseed (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Peanut (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	21%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13 (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Grapes	20%	[plot \| correlate \| graph]
...and	Sports > Chess > World Chess Rankings (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Primary school girls out of school	20%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Sport	20%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Gold > Sydney 2000 (inverse)	20%	[plot \| correlate \| graph]
...and	Sports > Air Games > Silver medals (inverse)	19%	[plot \| correlate \| graph]
...and	Education > Primary teacher age > Proportion under 30	19%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total (inverse)	19%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973 (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Practising physicians (inverse)	19%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	18%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a television set (inverse)	18%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1980 (inverse)	18%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Women (inverse)	18%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rice (inverse)	18%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Coarse grain imports	17%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > Second degree (inverse)	17%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Heavy drinkers (inverse)	17%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total (inverse)	17%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male (inverse)	17%	[plot \| correlate \| graph]
	Average:	24%

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: Growth in the number of armed forces personnel from 1985 (index = 100) to 2000. 100 means no growth, 50 means it halved and 200 means it doubled.

SOURCE: calculated on the basis of data on armed forces from IISS (International Institute for Strategic Studies). 2001. The Military Balance 2001-2002. Oxford: Oxford University Press

Correlations > Military Statistics > Armed forces growth

Correlations between Military > Armed forces growth ...

About Correlations:

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NOTES:

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