NationMaster - Correlations > Labor > Economic activity

	Variable	Strength
...and	Labor > Economic activity > Women aged 30-34	98%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	96%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	94%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	93%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	92%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	89%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	87%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	77%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	77%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	73%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	72%	[plot \| correlate \| graph]
...and	Economy > Net social expenditure > % of GDP	62%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	62%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54	60%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 20-24	60%	[plot \| correlate \| graph]
...and	Taxation > Total taxation as % of GDP	56%	[plot \| correlate \| graph]
...and	Immigration > Asylum seekers acceptance rates > 1980-89	54%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	52%	[plot \| correlate \| graph]
...and	People > Gender development index	51%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	51%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 9	49%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Class size > Age 9 (inverse)	48%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP	48%	[plot \| correlate \| graph]
...and	Food > Coffee consumption	48%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	46%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken (inverse)	46%	[plot \| correlate \| graph]
...and	Immigration > Asylum seekers acceptance rates > 1990-99	45%	[plot \| correlate \| graph]
...and	Food > Tea consumption (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females	45%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	44%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Barley consumption	41%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth (inverse)	41%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > People with AIDS (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	39%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total	39%	[plot \| correlate \| graph]
...and	Health > Practising physicians	38%	[plot \| correlate \| graph]
...and	Labor > Trade union membership	37%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	36%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	36%	[plot \| correlate \| graph]
...and	Religion > Church attendance (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	34%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 45-54	33%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	32%	[plot \| correlate \| graph]
...and	Education > Student attitude > Report class disorder	32%	[plot \| correlate \| graph]
...and	Labor > Working time to buy bread (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit replacement	30%	[plot \| correlate \| graph]
	Average:	53%

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 > Both sexes aged 30-34

Correlations between Labor > Economic activity > Both sexes aged 30-34 ...

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