NationMaster - Correlations > Environment > Municipal waste generation

	Variable	Strength
...and	Environment > Pollution > Municipal Waste per capita	74%	[plot \| correlate \| graph]
...and	People > Projected population growth	64%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	59%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	59%	[plot \| correlate \| graph]
...and	People > Male population > Age 70-74 > % of the total (inverse)	57%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	56%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	56%	[plot \| correlate \| graph]
...and	People > Total population > Age 70-74 > % of the total (inverse)	55%	[plot \| correlate \| graph]
...and	People > Male population > Age 75-79 > % of the total (inverse)	54%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total (inverse)	54%	[plot \| correlate \| graph]
...and	People > Marriage rate	54%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total (inverse)	53%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	52%	[plot \| correlate \| graph]
...and	Internet > Secure servers	52%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	50%	[plot \| correlate \| graph]
...and	Energy > Gasoline prices (inverse)	49%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita	46%	[plot \| correlate \| graph]
...and	Geography > Forested Land (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 10% (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Education spending (% of total government expenditure)	44%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Share of prison capacity filled (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Private expenditure on health as % of total expenditure on health	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	43%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	41%	[plot \| correlate \| graph]
...and	Health > Spending > Private	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of telecommunications equipment (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 20% (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19	40%	[plot \| correlate \| graph]
...and	People > Male population > Age 65-69 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > Business efficiency	40%	[plot \| correlate \| graph]
...and	Labor > Foreign labor force	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 65-69 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Total expenditure on health as % of GDP	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 10-14 > % of the total	39%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	39%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon Dioxide per capita	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 65-69 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Crustaceans molluscs etc	38%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 10-14 > % of the total	38%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	38%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood in rough squared (inverse)	38%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	38%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	37%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	37%	[plot \| correlate \| graph]
	Average:	45%

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: Kilograms of municipal waste generated per year (2000).

SOURCE: OECD Environmental Data Compendium: 2002

Correlations > Environment Statistics > Municipal waste generation

Correlations between Environment > Municipal waste generation ...

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