NationMaster - Correlations > Economy > Income distribution

	Variable	Strength
...and	Economy > Income distribution > Poorest 10%	98%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	87%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	80%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	70%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary	66%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	61%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	58%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	57%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total	57%	[plot \| correlate \| graph]
...and	Sports > Air Games > Gold Medals (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Abortions (inverse)	44%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	43%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Trade union membership	40%	[plot \| correlate \| graph]
...and	Agriculture > Area > Oats (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree	39%	[plot \| correlate \| graph]
...and	Food > Pork consumption per capita	38%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue	36%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity (inverse)	35%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 55-64	35%	[plot \| correlate \| graph]
...and	Agriculture > Production > Oats (inverse)	35%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption (inverse)	34%	[plot \| correlate \| graph]
...and	Agriculture > Area > Barley (inverse)	33%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	33%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	33%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13	32%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	32%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	31%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Brazil nuts (inverse)	31%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance	31%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Females	30%	[plot \| correlate \| graph]
...and	People > Male population > Age 55-59 > % of the total	30%	[plot \| correlate \| graph]
...and	Agriculture > Production > Barley (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	30%	[plot \| correlate \| graph]
...and	People > Male population > Age 50-54 > % of the total	29%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total	29%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	29%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total	29%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	29%	[plot \| correlate \| graph]
...and	Media > Public funding of broadcasters revenue per capita	29%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	29%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total	28%	[plot \| correlate \| graph]
...and	Food > Coffee consumption	28%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	28%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use (inverse)	28%	[plot \| correlate \| graph]
	Average:	40%

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 20%

Correlations between Economy > Income distribution > Poorest 20% ...

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