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Correlations > Health Statistics > Malaria % under-fives with fever receiving anti-malarial drugs

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Showing latest available data.

Correlations between Health > Malaria % under-fives with fever receiving anti-malarial drugs ...

Variable Strength
...and  Health > Tobacco > Total adult smokers 59% [plot | correlate | graph]
...and  Education > Progression to secondary level (inverse) 55% [plot | correlate | graph]
...and  Health > Nutrition > Vitamin A supplementation coverage rate 6-59 months 44% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Railway vehicles equipment (inverse) 44% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Eggs, albumin (inverse) 43% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel railway material (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Worn clothing etc 35% [plot | correlate | graph]
...and  Media > DVD region 33% [plot | correlate | graph]
...and  Military > Armed forces personnel (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel aluminium structures (inverse) 31% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel pipe tube etc (inverse) 30% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total (inverse) 30% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of green coffee (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Milk products excl butter cheese (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wire products excl insulators electrical (inverse) 29% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Coffee coffee substitute (inverse) 29% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total (inverse) 29% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Mens boys wear, woven (inverse) 28% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Veneer plywood etc (inverse) 28% [plot | correlate | graph]
...and  Economy > Income distribution > Poorest 10% (inverse) 28% [plot | correlate | graph]
...and  Economy > Income distribution > Poorest 20% (inverse) 28% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Misc manufactures articles nes (inverse) 27% [plot | correlate | graph]
...and  Health > Women circumcised (inverse) 27% [plot | correlate | graph]
...and  Health > Women circumcised share (inverse) 27% [plot | correlate | graph]
...and  People > Female population > Age 45-49 > % of the total (inverse) 27% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Other crude minerals (inverse) 27% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Man-made fibres nes wast (inverse) 26% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Butter and cheese (inverse) 26% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Special industrial machines nes (inverse) 26% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of writing and art supplies (inverse) 26% [plot | correlate | graph]
...and  Military > Manpower > Reaching military age annually > Males (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Sugar confectionery (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood simply worked (inverse) 25% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of iron and steel manufactures-advanced (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Vegetables root tuber prepared pressed (inverse) 25% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of dairy products and eggs (inverse) 25% [plot | correlate | graph]
...and  People > Total population > Age 45-49 > % of the total (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Metalworking machine nes (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Engines non-electric nes (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Oil seeds-not soft oil (inverse) 24% [plot | correlate | graph]
...and  Economy > GDP growth > Duration 1980-2000 (inverse) 24% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of bakery products (inverse) 24% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Civil engineering plant (inverse) 23% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Chocolate cocoa preparations (inverse) 23% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of engines-civilian aircraft (inverse) 23% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Metal machine tool parts (inverse) 23% [plot | correlate | graph]
...and  People > Female population > Age 80-84 > % of the total (inverse) 23% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total (inverse) 23% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood in rough squared (inverse) 23% [plot | correlate | graph]
...and  Internet > Livejournal users (inverse) 22% [plot | correlate | graph]
Average: 29%

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:

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 - Malaria: 1999-2001 % under-fives with fever receiving anti-malarial drugs

SOURCE: UNICEF

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