NationMaster - Correlations > Health > HIVAIDS > Adult prevalence rate 15-49 years,

	Variable	Strength
...and	Health > HIV AIDS > Women living with aids 15-49	100%	[plot \| correlate \| graph]
...and	Health > Abortions	67%	[plot \| correlate \| graph]
...and	Crime > Murders with firearms	56%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure	55%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	49%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40	49%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	47%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	45%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Helicopters	45%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > ACVs	44%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	42%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960	41%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000	40%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Battle Tanks	39%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Artillery	37%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Children living with AIDS	37%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	37%	[plot \| correlate \| graph]
...and	Health > Maternal mortality	35%	[plot \| correlate \| graph]
...and	Sports > Air Games > Silver medals	34%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate	33%	[plot \| correlate \| graph]
...and	Agriculture > Area > Barley	33%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females	33%	[plot \| correlate \| graph]
...and	Education > Grade 12 advanced students science (inverse)	33%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio adjusted	32%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 13 (inverse)	32%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported	32%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Aircraft	32%	[plot \| correlate \| graph]
...and	Crime > Manslaughters	31%	[plot \| correlate \| graph]
...and	Health > Total expenditure as % of GDP	31%	[plot \| correlate \| graph]
...and	Health > HIVAIDS > children orphaned by AIDS 0-14 years,	31%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Export growth (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Years experience > Age 13	30%	[plot \| correlate \| graph]
...and	Labor > Total work time > Females over males	30%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	29%	[plot \| correlate \| graph]
...and	Crime > Rapes	28%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > primary level	28%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Peanut (inverse)	28%	[plot \| correlate \| graph]
...and	Education > Repitition rate > Secondary level	27%	[plot \| correlate \| graph]
...and	Economy > Population below median income	27%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate	27%	[plot \| correlate \| graph]
...and	Agriculture > Area > Oats	27%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rice (inverse)	26%	[plot \| correlate \| graph]
	Average:	38%

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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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: Health - HIV/AIDS - Adult prevalence rate (15-49 years), end-2001

SOURCE: UNICEF

Correlations > Health Statistics > HIVAIDS > Adult prevalence rate 15-49 years,

Correlations between Health > HIVAIDS > Adult prevalence rate 15-49 years, ...

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