NationMaster - Correlations > Labor > Economic activity

	Variable	Strength
...and	Labor > Economic activity > Women aged 45-49	91%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	87%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	83%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	82%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	81%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	75%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	73%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	71%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	67%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	65%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59	62%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	61%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	60%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary (inverse)	58%	[plot \| correlate \| graph]
...and	People > One person households	58%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	58%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	58%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	56%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 20-24	55%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	53%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	52%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	51%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 10-14	50%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school (inverse)	47%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	43%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Soybean (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 10-14	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64	42%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19	39%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP	39%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	37%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40	37%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59	37%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 10-14	36%	[plot \| correlate \| graph]
...and	People > Gender development index	35%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken (inverse)	34%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	34%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Legal system	34%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Barley consumption	33%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy	32%	[plot \| correlate \| graph]
...and	People > Disabled persons employment	32%	[plot \| correlate \| graph]
...and	Economy > Population under $2 a day	31%	[plot \| correlate \| graph]
...and	People > Divorce rate	30%	[plot \| correlate \| graph]
...and	Health > Duration of hospitalisation (inverse)	29%	[plot \| correlate \| graph]
...and	Religion > Church attendance (inverse)	29%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	29%	[plot \| correlate \| graph]
...and	Health > Death from cancer (inverse)	29%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	28%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young males	28%	[plot \| correlate \| graph]
	Average:	49%

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: Economically active population ("usually active" or "currently active" (currently active is also known as "the labour force")) comprises all persons of either sex above a specified age who furnish the supply of labour for the production of economic goods

SOURCE: Economic activity rate and economically active population, by sex, thirteen age groups, 1950-2010 (ILO estimates and projections) are data from the International Labour Union (ILO). Source details: ILO, Economically Active Population, 1950-2010, fourth edition, diskette database (Geneva, 1997). The latest set of estimates and projections covering the period 1950-2010 (4th edition) was released by ILO in December 1996. These data are updated every five-ten years by ILO and a new set of these data is in preparation

Correlations > Labor Statistics > Economic activity > Women aged 50-54

Correlations between Labor > Economic activity > Women aged 50-54 ...

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