NationMaster - Correlations > Economy > Income distribution

	Variable	Strength
...and	Economy > Income distribution > Poorest 20%	98%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	78%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	71%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	64%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary	63%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	62%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total	54%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	52%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	49%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree	42%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue	40%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	39%	[plot \| correlate \| graph]
...and	Sports > Air Games > Gold Medals (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	37%	[plot \| correlate \| graph]
...and	Agriculture > Area > Oats (inverse)	37%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality	36%	[plot \| correlate \| graph]
...and	Agriculture > Production > Oats (inverse)	35%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	35%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Brazil nuts (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Abortions (inverse)	35%	[plot \| correlate \| graph]
...and	Agriculture > Production > Barley (inverse)	35%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	34%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services	34%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64	33%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity (inverse)	33%	[plot \| correlate \| graph]
...and	Agriculture > Area > Barley (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths	31%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Females	29%	[plot \| correlate \| graph]
...and	Food > Pork consumption per capita	28%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives with fever receiving anti-malarial drugs (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Press	27%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	27%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	27%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer	27%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Church (inverse)	27%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Different race	26%	[plot \| correlate \| graph]
...and	Labor > Trade union membership	26%	[plot \| correlate \| graph]
...and	Military > Tanks (inverse)	26%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers (inverse)	26%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	25%	[plot \| correlate \| graph]
...and	Crime > Reporting to police (inverse)	25%	[plot \| correlate \| graph]
...and	Media > Public funding of broadcasters revenue per capita	25%	[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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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: Share of income or consumption (%). The distribution of income is typically more unequal than the distribution of consumption.

SOURCE: World Bank. 2002. World Development Indicators 2002. CD-ROM. Washington, DC

Correlations > Economy Statistics > Income distribution > Poorest 10%

Correlations between Economy > Income distribution > Poorest 10% ...

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