NationMaster - Correlations > Economy > GDP growth

	Variable	Strength
...and	Economy > GDP growth > Duration 1975-2000	87%	[plot \| correlate \| graph]
...and	Transportation > Cars (inverse)	53%	[plot \| correlate \| graph]
...and	Food > Beer consumption	52%	[plot \| correlate \| graph]
...and	Agriculture > Area > Wheat	44%	[plot \| correlate \| graph]
...and	Agriculture > Production > Wheat	43%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	43%	[plot \| correlate \| graph]
...and	Agriculture > Area > Cotton	41%	[plot \| correlate \| graph]
...and	People > Average size of households	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 45-49 > % of the total	40%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	40%	[plot \| correlate \| graph]
...and	Military > Navy personnel	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 45-49 > % of the total	39%	[plot \| correlate \| graph]
...and	Crime > Rape victims (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Growth in health expenditure > Per annum	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 45-49 > % of the total	37%	[plot \| correlate \| graph]
...and	People > Female population > Age 40-44 > % of the total	36%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index	36%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1998-2002	36%	[plot \| correlate \| graph]
...and	People > Female population > Age 50-54 > % of the total	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 40-44 > % of the total	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 50-54 > % of the total	35%	[plot \| correlate \| graph]
...and	Economy > Imports ratio of GDP	35%	[plot \| correlate \| graph]
...and	Crime > Bribe payers index (inverse)	34%	[plot \| correlate \| graph]
...and	People > Male population > Age 50-54 > % of the total	34%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut	33%	[plot \| correlate \| graph]
...and	People > Male population > Age 40-44 > % of the total	33%	[plot \| correlate \| graph]
...and	Economy > Development assistance to LDCs	32%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years	32%	[plot \| correlate \| graph]
...and	Military > Air force personnel	32%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Dependency ratio per 100 (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Production > Cotton	31%	[plot \| correlate \| graph]
...and	Food > Tea consumption	31%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid	31%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Soybean (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Respiratory disease deaths	29%	[plot \| correlate \| graph]
...and	People > Female population > Age 10-14 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of measuring, testing, control instruments	28%	[plot \| correlate \| graph]
...and	Environment > Expenditure pollution control as % of GDP (inverse)	28%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 2000	28%	[plot \| correlate \| graph]
...and	Health > Total fertility rate (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary (inverse)	27%	[plot \| correlate \| graph]
...and	Media > Telecommunications employment	27%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total (inverse)	27%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut	27%	[plot \| correlate \| graph]
...and	Military > Gulf War Coalition Forces (inverse)	26%	[plot \| correlate \| graph]
	Average:	35%

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: Gross domestic product GDP growth rate from 1980 to 2000

SOURCE: Per Capita GDP Growth IMF

Correlations > Economy Statistics > GDP growth > Duration 1980-2000

Correlations between Economy > GDP growth > Duration 1980-2000 ...

About Correlations:

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NOTES:

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