NationMaster - Correlations > People > Gender development index

	Variable	Strength
...and	Democracy > Female parliamentarians	75%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	75%	[plot \| correlate \| graph]
...and	People > Gender empowerment	75%	[plot \| correlate \| graph]
...and	Government > Parliamentary seats > Female	71%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	67%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people	65%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	62%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight (inverse)	59%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	55%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	54%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	53%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	53%	[plot \| correlate \| graph]
...and	Food > Coffee consumption	52%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	51%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Trade unions	49%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	48%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	48%	[plot \| correlate \| graph]
...and	Education > Education spending (% Tertiary)	47%	[plot \| correlate \| graph]
...and	People > Elderly living in institution	47%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	46%	[plot \| correlate \| graph]
...and	Education > Education spending (% of GDP)	46%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index	46%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Natural abrasives nes (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	42%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	42%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of glassware, porcelain, and chinaware (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	41%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance	40%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Organo-inorganic compounds (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	38%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Tertiary level	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section (inverse)	37%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > People with AIDS (inverse)	37%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit replacement	36%	[plot \| correlate \| graph]
...and	Economy > Public institution index	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54	35%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment	35%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fish, dried salted smoked	35%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of sulfur and nonmetallic minerals (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary	34%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Watches and clocks (inverse)	34%	[plot \| correlate \| graph]
...and	Agriculture > Tractors (inverse)	34%	[plot \| correlate \| graph]
	Average:	46%

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: Gender development index - Range is from .000 (lowest) to 1.000 (highest).

SOURCE: UNDP, Human Development Report 2002 (Oxford University Press, NY, 2002)

Correlations > People Statistics > Gender development index

Correlations between People > Gender development index ...

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