NationMaster - Correlations > Labor

	Variable	Strength
...and	Economy > World Trade > Exports > Cork manufactures	44%	[plot \| correlate \| graph]
...and	Health > Water availability	44%	[plot \| correlate \| graph]
...and	Labor > Strikes	42%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use	41%	[plot \| correlate \| graph]
...and	Energy > Wind energy installation	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Base metal ore conc nes	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Ferrous waste scrap	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fish, dried salted smoked	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Vegetables root tuber prepared pressed	34%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 12 (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	32%	[plot \| correlate \| graph]
...and	Environment > Marine fish catch	32%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64	32%	[plot \| correlate \| graph]
...and	Crime > Death penalty > Abolition date (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Proportion of primary education time spent learning social studies (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 11 (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Teachers as percentage of labor force	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cereal grains nes	29%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 9 (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Lime cement constr material	27%	[plot \| correlate \| graph]
...and	Energy > Geothermal power use	26%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Fossil fuel (inverse)	26%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females	24%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree	24%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	23%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Hydro	23%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fish, live fresh chilled frozen	22%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary	22%	[plot \| correlate \| graph]
...and	Environment > Wildness	22%	[plot \| correlate \| graph]
...and	Health > Transplants > Total	21%	[plot \| correlate \| graph]
...and	Agriculture > Workers per hectare	21%	[plot \| correlate \| graph]
...and	Environment > Groundwater withdrawals	21%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Dyeing tanning extracts	20%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of liquified petroleum gases	20%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Precious metal ore conc	20%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Nickel	20%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	20%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of miscellaneous nonferrous metals	19%	[plot \| correlate \| graph]
...and	Geography > Population density (inverse)	19%	[plot \| correlate \| graph]
...and	People > Percentage living in urban areas	19%	[plot \| correlate \| graph]
...and	People > Percentage living in rural areas. (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Transplants > Kidney	19%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight (inverse)	19%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Per capita (inverse)	19%	[plot \| correlate \| graph]
...and	Environment > Non-wildness (inverse)	19%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64	18%	[plot \| correlate \| graph]
...and	Economy > Development assistance to LDCs (inverse)	18%	[plot \| correlate \| graph]
...and	Sports > Winter olympic medals > All time	18%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Liquid propane butane	18%	[plot \| correlate \| graph]
	Average:	26%

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.

VIEW FOR THIS VARIABLE:

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: Number of days not worked for every 1000 salaried employees. Selected OECD countries only. Data for 2000.

SOURCE: OECD

Correlations > Labor Statistics > Days off work

Correlations between Labor > Days off work ...

About Correlations:

VIEW FOR THIS VARIABLE:

NOTES:

Related links: