NationMaster - Correlations > Lifestyle > Members of voluntary organisations

	Variable	Strength
...and	Lifestyle > Members of voluntary organisations > Professional	91%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of cane and beet sugar	83%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	82%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cotton	77%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	77%	[plot \| correlate \| graph]
...and	Environment > Known reptile species	75%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	73%	[plot \| correlate \| graph]
...and	Environment > Threatened species > Mammal	63%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	53%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nonmonetary gold	53%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of railway transportation equipment	53%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production growth	51%	[plot \| correlate \| graph]
...and	Environment > Wildness	51%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	51%	[plot \| correlate \| graph]
...and	Environment > Carbon efficiency	49%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of agricultural machinery, equipment	48%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide per capita	47%	[plot \| correlate \| graph]
...and	Environment > Known breeding bird species	47%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Sport	47%	[plot \| correlate \| graph]
...and	Labor > Foreign labor force	46%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of chemicals-fertilizers	45%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Silver > Sydney 2000	44%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	44%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	43%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Total aid package	43%	[plot \| correlate \| graph]
...and	Environment > Known mammal species	42%	[plot \| correlate \| graph]
...and	Energy > Gasoline prices (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Arable and permanent cropland	42%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Female	41%	[plot \| correlate \| graph]
...and	People > Gender development	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of materials handling equipment	40%	[plot \| correlate \| graph]
...and	People > One person households	39%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of zinc	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood chips waste	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Zinc	38%	[plot \| correlate \| graph]
...and	Environment > Water > Suspended solids	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita	37%	[plot \| correlate \| graph]
...and	People > Projected population growth	37%	[plot \| correlate \| graph]
...and	Internet > Secure servers	37%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	36%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Crustaceans molluscs etc	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Sulphur unroastd pyrites	35%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth	35%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production	35%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	35%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nuts and preparations	35%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 40-44 (inverse)	35%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	35%	[plot \| correlate \| graph]
	Average:	48%

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: Proportion saying they are active members of voluntary organisations in this category, 1990s surveys.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Members of voluntary organisations > Education

Correlations between Lifestyle > Members of voluntary organisations > Education ...

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