NationMaster - Correlations > Labor > Female decision makers

	Variable	Strength
...and	Health > Teenage pregnancy > Share	63%	[plot \| correlate \| graph]
...and	Internet > Secure servers	61%	[plot \| correlate \| graph]
...and	People > Teenage birth rate	59%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	57%	[plot \| correlate \| graph]
...and	Education > Student attitude > Find school boring	54%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Church	49%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	47%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	47%	[plot \| correlate \| graph]
...and	Health > Teen birth rate	45%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality (inverse)	44%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef (inverse)	44%	[plot \| correlate \| graph]
...and	Health > Obesity	43%	[plot \| correlate \| graph]
...and	Labor > Female professionals	43%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from underweight severe (inverse)	41%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree	41%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females	41%	[plot \| correlate \| graph]
...and	People > Size of houses	40%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from wasting moderate & severe (inverse)	40%	[plot \| correlate \| graph]
...and	Internet > Internet charges (inverse)	39%	[plot \| correlate \| graph]
...and	People > Divorce rate	39%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	39%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy > female	39%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy > male (inverse)	39%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	38%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service	37%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Salary multiplier with 15 years experience	37%	[plot \| correlate \| graph]
...and	Religion > Islam > Percentage Muslim (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Children Underweight Rate (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from underweight moderate & severe (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Female (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 13	31%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	30%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at moderate literacy level (inverse)	30%	[plot \| correlate \| graph]
...and	Crime > Bribe payers index	30%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn imports (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Black red or white currants and gooseberries	30%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	29%	[plot \| correlate \| graph]
...and	Environment > Biodiversity richness (inverse)	29%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages above 75 (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of children who are still breastfeeding 20-23 months (inverse)	28%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Per capita	28%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820	28%	[plot \| correlate \| graph]
...and	People > Women > Adult literacy rate females as a % of males	28%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	27%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption	27%	[plot \| correlate \| graph]
...and	Health > Circulatory disease deaths	27%	[plot \| correlate \| graph]
...and	Media > Newspapers (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	26%	[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: Female legislators, senior officials and managers (as % of total). Data refer to the latest year available during the period 1991-2000. Those for countries that have implemented the recent International Standard Classification of Occupations (ISCO-88) are not strictly comparable with those for countries using the previous classification (ISCO-68).

SOURCE: calculated on the basis of occupational data from ILO (International Labour Organization). 2002. Laboursta Database. February 2002

Correlations > Labor Statistics > Female decision makers

Correlations between Labor > Female decision makers ...

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