NationMaster - Correlations > Health > Breast cancer incidence

	Variable	Strength
...and	Geography > Forested Land (inverse)	58%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Emotionally unstable people (inverse)	52%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13	50%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	50%	[plot \| correlate \| graph]
...and	Crime > Reporting to police	48%	[plot \| correlate \| graph]
...and	Environment > Waste generation	46%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	38%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts (inverse)	37%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Water availability	35%	[plot \| correlate \| graph]
...and	Labor > Working time to buy bread (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Threatened species (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of complete and assembled (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > People with AIDS (inverse)	32%	[plot \| correlate \| graph]
...and	Environment > Breeding birds threatened (inverse)	32%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	32%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid	32%	[plot \| correlate \| graph]
...and	Economy > Terms of trade (inverse)	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total	32%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	31%	[plot \| correlate \| graph]
...and	Education > Public spending on private institutions	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Natural rubber latex etc (inverse)	31%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue	31%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	31%	[plot \| correlate \| graph]
...and	Education > Public spending on public institutions (inverse)	31%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	31%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of railway transportation equipment (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820	30%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit replacement	30%	[plot \| correlate \| graph]
...and	Transportation > Airports > With paved runways > 2438 to 3047 m (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Total fertility rate	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Beef, fresh chilled frozen	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fish, dried salted smoked	30%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Lower rate for dwellings	29%	[plot \| correlate \| graph]
...and	Economy > Male to female earnings (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sorghum, barley, oats (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Class size > Age 13 (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	28%	[plot \| correlate \| graph]
...and	Food > Total spirit consumption (inverse)	28%	[plot \| correlate \| graph]
...and	Disasters > Funds committed to emergency Tsunami aid (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Consultation with doctors (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Precious metal ore conc (inverse)	27%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total (inverse)	27%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy	26%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk (inverse)	26%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita	25%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total (inverse)	25%	[plot \| correlate \| graph]
	Average:	33%

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: Breast cancer incidence per 100,000 females.

SOURCE: World Health Organization

Correlations > Health Statistics > Breast cancer incidence

Correlations between Health > Breast cancer incidence ...

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NOTES:

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