NationMaster - Correlations > Labor

	Variable	Strength
...and	Labor > Regulation > Firing	60%	[plot \| correlate \| graph]
...and	Labor > Regulation > Employment Conditions	58%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	57%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy (inverse)	55%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	53%	[plot \| correlate \| graph]
...and	Labor > Regulation > Hiring	52%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	52%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	46%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	44%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	43%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Asparagus	40%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nuclear waste (inverse)	37%	[plot \| correlate \| graph]
...and	People > Couples with children	35%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	34%	[plot \| correlate \| graph]
...and	Energy > Oil imports > Net (inverse)	34%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Death from cancer	33%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide per capita (inverse)	32%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Goods and service tax	32%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary	31%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900 (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	30%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio	29%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	29%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages (inverse)	28%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13 (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	27%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	27%	[plot \| correlate \| graph]
...and	People > Divorce rate (inverse)	27%	[plot \| correlate \| graph]
...and	Immigration > Foreign population (inverse)	27%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn production (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	27%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	26%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy (inverse)	26%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at low literacy level	26%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer	26%	[plot \| correlate \| graph]
...and	Language > French speakers (inverse)	26%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors operable (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Wheat production (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye (inverse)	25%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Personal income tax (inverse)	25%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	24%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	24%	[plot \| correlate \| graph]
	Average:	34%

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: This statistic is an average of "Regulation - Hiring", "Regulation - Firing", and "Regulation - Employment Conditions". Nations are listed with an Employment Laws Index between 1 and 100. The higher the index, the more the nation regulates Employment.

SOURCE: The World Bank Group The original methodology and data come from The Regulation of Labor, by Juan Botero, Simeon Djankov, Rafael La Porta, Florencio Lopez-de-Silanes, and Andrei Shleifer. When using the data, please also cite this paper as a reference.

Correlations > Labor Statistics > Regulation

Correlations between Labor > Regulation ...

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