NationMaster - Correlations > Government

	Variable	Strength
...and	Education > Teacher qualifications > Years experience > Age 9	52%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Coarse grain consumption (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a car	37%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	37%	[plot \| correlate \| graph]
...and	Immigration > Foreign population inflow (inverse)	33%	[plot \| correlate \| graph]
...and	Internet > Web sites (inverse)	32%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Property tax (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye	29%	[plot \| correlate \| graph]
...and	Health > SARS female cases % (inverse)	29%	[plot \| correlate \| graph]
...and	Disasters > Funds commited to Tsunami aid (inverse)	27%	[plot \| correlate \| graph]
...and	Immigration > Refugees > Inflow 1990-99 (inverse)	26%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Production > Sorghum (inverse)	26%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit as % of GDP	25%	[plot \| correlate \| graph]
...and	People > Teenage birth rate (inverse)	24%	[plot \| correlate \| graph]
...and	Labor > Trade union membership	24%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 35-44	23%	[plot \| correlate \| graph]
...and	Education > Class size > Age 9 (inverse)	23%	[plot \| correlate \| graph]
...and	Environment > Waste generation (inverse)	23%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers > 1990-99 (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Students from households with calculator > Age 9 (inverse)	22%	[plot \| correlate \| graph]
...and	Health > SARS fatalities (inverse)	22%	[plot \| correlate \| graph]
...and	Energy > Coal production in 1981 (inverse)	22%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Walnuts (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Female doctors	21%	[plot \| correlate \| graph]
...and	Economy > Commitment to foreign aid	20%	[plot \| correlate \| graph]
...and	Education > Students from households with dictionary > Age 9 (inverse)	20%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers (inverse)	20%	[plot \| correlate \| graph]
...and	Disasters > Funds committed to emergency Tsunami aid (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Women circumcised (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Women circumcised share (inverse)	19%	[plot \| correlate \| graph]
...and	Internet > Broadband access (inverse)	19%	[plot \| correlate \| graph]
...and	Agriculture > Area > Corn (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Nurses	19%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn consumption (inverse)	19%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	19%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Oranges	18%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken	18%	[plot \| correlate \| graph]
...and	Economy > Foreign investment (inverse)	18%	[plot \| correlate \| graph]
...and	Agriculture > Production > Corn (inverse)	18%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share (inverse)	18%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 9	18%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people	18%	[plot \| correlate \| graph]
...and	Economy > GDP in 1970 (inverse)	18%	[plot \| correlate \| graph]
...and	Media > Telecommunications revenue (inverse)	17%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years	17%	[plot \| correlate \| graph]
...and	Health > Obesity (inverse)	17%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female (inverse)	16%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Coarse grain production (inverse)	16%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	16%	[plot \| correlate \| graph]
	Average:	23%

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: The date on which the nation's flag was last modified.

SOURCE: Flagspot

Correlations > Government Statistics > Flag modification

Correlations between Government > Flag modification ...

About Correlations:

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NOTES:

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