NationMaster - Correlations > Labor > Regulation

	Variable	Strength
...and	Health > Death from cancer	61%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	59%	[plot \| correlate \| graph]
...and	Labor > Regulation	58%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at low literacy level	53%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy (inverse)	53%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	50%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye (inverse)	48%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a television set	48%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	47%	[plot \| correlate \| graph]
...and	Health > Duration of hospitalisation	47%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Oats (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness (inverse)	45%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	43%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary	43%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	42%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary (inverse)	42%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school	42%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	41%	[plot \| correlate \| graph]
...and	Sports > Winter olympic medals > All time (inverse)	40%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	39%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	38%	[plot \| correlate \| graph]
...and	Agriculture > Production > Cotton (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at moderate literacy level (inverse)	37%	[plot \| correlate \| graph]
...and	Energy > Oil imports > Net (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	36%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Personal income tax (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	36%	[plot \| correlate \| graph]
...and	Media > Total broadcasters revenue per capita (inverse)	35%	[plot \| correlate \| graph]
...and	Crime > Bribery victims	35%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	33%	[plot \| correlate \| graph]
...and	Sports > Olympic point totals > Salt Lake City 2002 (inverse)	32%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Burglary (inverse)	31%	[plot \| correlate \| graph]
...and	People > Gender empowerment (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn production (inverse)	30%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nuclear waste (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	30%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken	30%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	29%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	29%	[plot \| correlate \| graph]
...and	Internet > Web sites (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	28%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13 (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Working time to buy fish	28%	[plot \| correlate \| graph]
...and	Economy > Public institution index (inverse)	27%	[plot \| correlate \| graph]
...and	Lifestyle > Discuss politics frequently (inverse)	27%	[plot \| correlate \| graph]
	Average:	39%

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: Nations are listed with a Conditions of Employment Index between 1 and 100. The higher the index, the more the nation regulates conditions of 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 > Employment Conditions

Correlations between Labor > Regulation > Employment Conditions ...

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