NationMaster - Correlations > Health > Malaria cases

	Variable	Strength
...and	Economy > World Trade > Exports > Misc non-ferrous base metal	61%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of civilian aircraft, complete-all types	51%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	27%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Peanut (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40	25%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	25%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	23%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	23%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	23%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Foreign prisoners	23%	[plot \| correlate \| graph]
...and	Military > Navy personnel (inverse)	23%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Library employees (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Tertiary level	19%	[plot \| correlate \| graph]
...and	Health > HIVAIDS > Adult prevalence rate 15-49 years,	19%	[plot \| correlate \| graph]
...and	Energy > Electric generation ability (inverse)	19%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39 > % of the total (inverse)	18%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	18%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total (inverse)	17%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction (inverse)	17%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	17%	[plot \| correlate \| graph]
...and	People > Total population > Age 40-44 > % of the total (inverse)	17%	[plot \| correlate \| graph]
...and	People > Male population > Age 40-44 > % of the total (inverse)	16%	[plot \| correlate \| graph]
...and	Health > Maternal mortality	16%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus	16%	[plot \| correlate \| graph]
...and	Military > Air force personnel (inverse)	16%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total	16%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	15%	[plot \| correlate \| graph]
...and	People > Female population > Age 40-44 > % of the total (inverse)	15%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Secondary level	15%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	15%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	15%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported	15%	[plot \| correlate \| graph]
...and	People > Male population > Age 45-49 > % of the total (inverse)	15%	[plot \| correlate \| graph]
...and	People > Male population > Age 35-39 > % of the total (inverse)	15%	[plot \| correlate \| graph]
...and	People > Male population > Age 60-64 > % of the total (inverse)	15%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years (inverse)	14%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus	14%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	14%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > HepB3 (inverse)	14%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64	14%	[plot \| correlate \| graph]
...and	People > Male population > Age 55-59 > % of the total (inverse)	14%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	14%	[plot \| correlate \| graph]
...and	Health > Contraception (inverse)	14%	[plot \| correlate \| graph]
...and	People > Total population > Age 45-49 > % of the total (inverse)	14%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34 > % of the total (inverse)	13%	[plot \| correlate \| graph]
...and	Sports > Mt Everest ascents > Duration 1991-2001 (inverse)	13%	[plot \| correlate \| graph]
	Average:	20%

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: Malaria cases (per 100,000 people)

SOURCE: UNHDR

Correlations > Health Statistics > Malaria cases > per 100,000

Correlations between Health > Malaria cases > per 100,000 ...

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