NationMaster - Correlations > People > Gender empowerment measure

	Variable	Strength
...and	People > Gender development index	75%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians	73%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of jewelry watches, rings, etc (inverse)	73%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	72%	[plot \| correlate \| graph]
...and	Government > Parliamentary seats > Female	69%	[plot \| correlate \| graph]
...and	Agriculture > Tractors (inverse)	67%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton (inverse)	65%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of pulpwood and woodpulp (inverse)	64%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood simply worked (inverse)	63%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section (inverse)	62%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel bars rods etc (inverse)	62%	[plot \| correlate \| graph]
...and	Education > Education spending (% Tertiary)	58%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	57%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	57%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sorghum, barley, oats (inverse)	56%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths (inverse)	56%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index	56%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Watches and clocks (inverse)	55%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	54%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk (inverse)	53%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	53%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Vegetables textile fibre excl cot ju (inverse)	52%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	52%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 (inverse)	51%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of glassware, porcelain, and chinaware (inverse)	51%	[plot \| correlate \| graph]
...and	Economy > Public institution index	51%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 (inverse)	51%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	51%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	50%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 (inverse)	50%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net	50%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Man-made woven fabrics (inverse)	49%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	49%	[plot \| correlate \| graph]
...and	Education > Education spending (% of GDP)	48%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel (inverse)	47%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84 (inverse)	47%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Petrol bitum oil, crude (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Watches and clocks (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > GDP > PPP (inverse)	46%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total	46%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit replacement	46%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of newsprint (inverse)	46%	[plot \| correlate \| graph]
...and	Democracy > Civil and political liberties	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	46%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of apparel, household goods > textile (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Motorcycles cycles etc (inverse)	45%	[plot \| correlate \| graph]
...and	Military > Manpower > Fit for military service > Males age 15-49 (inverse)	45%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tractors (inverse)	45%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	45%	[plot \| correlate \| graph]
	Average:	54%

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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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 Empowerment Measure Range is from .000 (lowest) to 1.000 (highest), 2002.

SOURCE: UNDP, Human Development Report 2002 (Oxford University Press, NY, 2002); see p. 35

Correlations > People Statistics > Gender empowerment measure

Correlations between People > Gender empowerment measure ...

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