NationMaster - Correlations > Labor > Female economic activity

	Variable	Strength
...and	Labor > Economic activity > Women aged 50-54	81%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	77%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	76%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	74%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	73%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	72%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	71%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	69%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 20-24	69%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	68%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59	67%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	65%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	65%	[plot \| correlate \| graph]
...and	People > One person households	63%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	62%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	61%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	60%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19	59%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	58%	[plot \| correlate \| graph]
...and	Labor > Working time to buy fish (inverse)	56%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64	55%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP	55%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	51%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott	50%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	50%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	48%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59	46%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary (inverse)	45%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 10-14	44%	[plot \| correlate \| graph]
...and	People > Gender development index	42%	[plot \| correlate \| graph]
...and	Immigration > Asylum seekers acceptance rates > 1990-99	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus	41%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a television set (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	40%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	38%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	37%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people	37%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Barley imports	37%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police	36%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 10-14	36%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession (inverse)	35%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 13	35%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40	35%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	33%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Wheat production	32%	[plot \| correlate \| graph]
...and	Economy > Population under $2 a day	31%	[plot \| correlate \| graph]
	Average:	51%

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 economic activity rate (aged 15 and above) in 2000.

SOURCE: calculated on the basis of data on the economically active population and total population from ILO (International Labour Organization). 2002. Estimates and Projections of the Economically Active Population, 1950-2010, 4th ed., rev. 2. Database. Geneva

Correlations > Labor Statistics > Female economic activity

Correlations between Labor > Female economic activity ...

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