NationMaster - Correlations > Labor > Regulation

	Variable	Strength
...and	Agriculture > Grains > Wheat production (inverse)	57%	[plot \| correlate \| graph]
...and	Labor > Regulation	52%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Asparagus	41%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 13 (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Upper secondary	38%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	37%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	35%	[plot \| correlate \| graph]
...and	Agriculture > Production > Cotton (inverse)	34%	[plot \| correlate \| graph]
...and	Education > Student attitude > Report class disorder	34%	[plot \| correlate \| graph]
...and	Labor > Female doctors	33%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut (inverse)	32%	[plot \| correlate \| graph]
...and	Transportation > Airports > With unpaved runways > Over 3047 m (inverse)	32%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > Advanced research degree	31%	[plot \| correlate \| graph]
...and	Language > French speakers (inverse)	30%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide from fossil fuels 2000 (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP	30%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	29%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Attended a demonstration	29%	[plot \| correlate \| graph]
...and	Environment > Waste generation (inverse)	29%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	29%	[plot \| correlate \| graph]
...and	Agriculture > Area > Cotton (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Unemployment	27%	[plot \| correlate \| graph]
...and	People > Marriage rate (inverse)	26%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide per capita (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut (inverse)	26%	[plot \| correlate \| graph]
...and	People > Couples with children	26%	[plot \| correlate \| graph]
...and	Agriculture > Area > Sorghum (inverse)	24%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service (inverse)	24%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio	23%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Coconuts (inverse)	22%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Property tax (inverse)	22%	[plot \| correlate \| graph]
...and	Transportation > Airports > With unpaved runways > 2438 to 3047 m (inverse)	21%	[plot \| correlate \| graph]
...and	Crime > Reporting to police (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Barley imports (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Area > Wheat (inverse)	20%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages (inverse)	20%	[plot \| correlate \| graph]
...and	Agriculture > Production > Sorghum (inverse)	20%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily (inverse)	20%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily > Share of total (inverse)	20%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Oats production (inverse)	20%	[plot \| correlate \| graph]
...and	People > Divorce rate (inverse)	19%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Garlic	19%	[plot \| correlate \| graph]
...and	Military > Tanks (inverse)	19%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Women circumcised share (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Women circumcised (inverse)	19%	[plot \| correlate \| graph]
	Average:	28%

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 Flexibility of Hiring Index between 1 and 100. The higher the index, the more the nation in question regulates the hiring process.

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 > Hiring

Correlations between Labor > Regulation > Hiring ...

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