NationMaster - Correlations > Lifestyle

	Variable	Strength
...and	Lifestyle > Members of voluntary organisations > Environmental	67%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	66%	[plot \| correlate \| graph]
...and	Lifestyle > Amphetamine use	64%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	58%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	56%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	56%	[plot \| correlate \| graph]
...and	People > Size of houses	56%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	53%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP (inverse)	52%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Copper ores concentrates	52%	[plot \| correlate \| graph]
...and	Crime > Property crime victims	52%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	48%	[plot \| correlate \| graph]
...and	Internet > Secure servers	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cotton	45%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Salary multiplier with 15 years experience	44%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	44%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue	42%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruits	42%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	42%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services (inverse)	41%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Silver > Sydney 2000	41%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	40%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wool animal hair	40%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of cane and beet sugar	39%	[plot \| correlate \| graph]
...and	Agriculture > Cotton exports	38%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of animal feeds, nec	38%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Standard rate (inverse)	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	36%	[plot \| correlate \| graph]
...and	Crime > Assault victims	36%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 10% (inverse)	36%	[plot \| correlate \| graph]
...and	Transportation > Highways > Unpaved (per capita)	35%	[plot \| correlate \| graph]
...and	Education > Proportion of 18 year olds in tertiary education	35%	[plot \| correlate \| graph]
...and	Media > Telecommunications revenue	35%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Milk products excl butter cheese	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of wine and related products	34%	[plot \| correlate \| graph]
...and	Education > Hours of instruction for pupils aged 11	34%	[plot \| correlate \| graph]
...and	Media > Public funding of broadcasters revenue per capita (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Aluminium ores concs etc	33%	[plot \| correlate \| graph]
...and	Economy > Exports > Manufactured (inverse)	32%	[plot \| correlate \| graph]
...and	Agriculture > Agricultural growth	32%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production	32%	[plot \| correlate \| graph]
...and	Environment > Ecological footprint	32%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Sport	31%	[plot \| correlate \| graph]
...and	Economy > Exports > Primary	31%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality (inverse)	31%	[plot \| correlate \| graph]
...and	Health > Red Cross donations	30%	[plot \| correlate \| graph]
	Average:	42%

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: Percentage share of people who have used cannabis, generally including people 15 and above. Different nations have, however, focussed their studies on different age groups. United States and Netherlands: data for years 12 and above. Greece: Data for ages 12 to 64. Australia: data for ages 14 and above. United Kingdom: data for ages 16 to 59. Germany: data for ages 18-59. Denmark and France: data for ages 18 to 69. Data for 1998 or 1999 in most cases. Germany, Poland, and Spain: data for 1997. Austria: data for 1996. Denmark, France and Ireland: data for 1995.

SOURCE: OECD

Correlations > Lifestyle Statistics > Cannabis use

Correlations between Lifestyle > Cannabis use ...

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