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Correlations > Health Statistics > Circulatory disease deaths

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Showing latest available data.

Correlations between Health > Circulatory disease deaths ...

Variable Strength
...and  Economy > World Trade > Imports > Edible products nes (inverse) 67% [plot | correlate | graph]
...and  Health > Heart disease deaths 66% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Meters and counters nes (inverse) 62% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Fruit preserved fruit preparations (inverse) 61% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Aircraft spacecraft etc (inverse) 61% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Measure control appliances nes (inverse) 59% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Rotating electrical plant (inverse) 59% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Measure control appliances nes (inverse) 58% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Musical instruments records (inverse) 57% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Coffee coffee substitute (inverse) 57% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Domestic equipment (inverse) 57% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Engines non-electric nes (inverse) 57% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Ferrous waste scrap (inverse) 56% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood manufactures nes (inverse) 55% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of petroleum products, other (inverse) 53% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Nails screws nuts bolts (inverse) 51% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Electrical equipment nes (inverse) 50% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Floor coverings etc (inverse) 50% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel wire (inverse) 50% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Vegetables, fresh chilled frozen (inverse) 49% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Electrical distribution equipment (inverse) 47% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Elements oxides hal salt (inverse) 47% [plot | correlate | graph]
...and  Food > Beer consumption 47% [plot | correlate | graph]
...and  Education > Primary school girls out of school 47% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Vinyl chloride etc polymers (inverse) 46% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Indust heat cool equipment (inverse) 46% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Starches glues etc (inverse) 46% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Plastic waste scrap (inverse) 45% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Misc chemical products nes (inverse) 45% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Metal machine tool parts (inverse) 45% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Prefabricated buildings (inverse) 45% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Cine fild developed (inverse) 45% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Crude vegetables materials nes (inverse) 44% [plot | correlate | graph]
...and  Education > Student attitude > Find school boring 44% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Fans filters gas pumps (inverse) 44% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Special yarns fabrics (inverse) 44% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Perfume toilet cosmetics (inverse) 43% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Copper (inverse) 43% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of chemicals-fertilizers (inverse) 43% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Nickel-ferrum base metal waste nes (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Non-electrical parts accessories machines (inverse) 42% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of nuts (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of hair, waste materials (inverse) 41% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Females (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of newsprint (inverse) 41% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Jewellery (inverse) 41% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Females (inverse) 41% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Rotating electrical plant (inverse) 40% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Pearls precious stones (inverse) 40% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Pigments paints varnish (inverse) 39% [plot | correlate | graph]
Average: 49%

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: Standardised death rates per 100 000 population (1999).

SOURCE: OECD Health Data 2003 and Health Data 2002. Australian Institute of Health and Welfare, Australia's Health 2002

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