NationMaster - Correlations > Economy > Exports

	Variable	Strength
...and	Economy > Exports > Manufactured (inverse)	70%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	52%	[plot \| correlate \| graph]
...and	Agriculture > Production > Cotton (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 9 (inverse)	49%	[plot \| correlate \| graph]
...and	Agriculture > Area > Rye	44%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	44%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	42%	[plot \| correlate \| graph]
...and	Military > Air force personnel (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Area > Cotton (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths (inverse)	40%	[plot \| correlate \| graph]
...and	Sports > Air Games > Gold Medals	36%	[plot \| correlate \| graph]
...and	Crime > Assault victims	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	35%	[plot \| correlate \| graph]
...and	Military > Navy personnel (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives sleeping under a bednet (inverse)	34%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	34%	[plot \| correlate \| graph]
...and	Crime > Property crime victims	34%	[plot \| correlate \| graph]
...and	People > Gender development index	34%	[plot \| correlate \| graph]
...and	Energy > Electric generation ability (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	31%	[plot \| correlate \| graph]
...and	People > Projected population growth	30%	[plot \| correlate \| graph]
...and	People > Female population > Age 60-64 > % of the total (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development (inverse)	29%	[plot \| correlate \| graph]
...and	Environment > Non-wildness (inverse)	29%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total (inverse)	29%	[plot \| correlate \| graph]
...and	People > Female population > Age 50-54 > % of the total (inverse)	29%	[plot \| correlate \| graph]
...and	Agriculture > Production > Rye	28%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Years experience > Age 9 (inverse)	28%	[plot \| correlate \| graph]
...and	Democracy > Bertelsmann Transformation Index > Status Index 2006 (inverse)	28%	[plot \| correlate \| graph]
...and	Energy > Oil refining ability (inverse)	28%	[plot \| correlate \| graph]
...and	People > Male population > Age 70-74 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	People > Total population > Age 60-64 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	28%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	28%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Terms of trade (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > GDP growth > Duration 1980-2000 (inverse)	27%	[plot \| correlate \| graph]
...and	Military > Army personnel (inverse)	27%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of rural	26%	[plot \| correlate \| graph]
...and	People > Total population > Age 65-69 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	People > Male population > Age 65-69 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Total fertility rate	26%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	People > Male population > Age 75-79 > % of the total (inverse)	26%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	26%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Technology index (inverse)	25%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total (inverse)	25%	[plot \| correlate \| graph]
	Average:	33%

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: Primary exports as % of manufactured export, 2000.

SOURCE: World Bank. 2002. World Development Indicators 2002. CD-ROM. Washington, DC

Correlations > Economy Statistics > Exports > Primary

Correlations between Economy > Exports > Primary ...

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