NationMaster - Correlations > Environment

	Variable	Strength
...and	People > Divorces per 100 marriages (inverse)	50%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy (inverse)	39%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Grapes	39%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Nurses (inverse)	37%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Dates	35%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure (inverse)	35%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Soybean	33%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24 (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Coconuts (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 25-34 (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Kidney and white beans	29%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Coarse grain imports	28%	[plot \| correlate \| graph]
...and	Crime > Assault victims (inverse)	28%	[plot \| correlate \| graph]
...and	Agriculture > Area > Barley (inverse)	28%	[plot \| correlate \| graph]
...and	People > Male population > Age 100-104	27%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section	26%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police (inverse)	24%	[plot \| correlate \| graph]
...and	Food > Beer consumption (inverse)	24%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Asparagus	24%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Years experience > Age 13 (inverse)	24%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	23%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Oats production (inverse)	23%	[plot \| correlate \| graph]
...and	Food > Wine consumption	23%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Sweet corn	23%	[plot \| correlate \| graph]
...and	Sports > Rugby World Cup > 2003 standings (inverse)	23%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths (inverse)	23%	[plot \| correlate \| graph]
...and	Economy > Child poverty	23%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13 (inverse)	22%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total (inverse)	22%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Attended a demonstration	22%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	22%	[plot \| correlate \| graph]
...and	Agriculture > Production > Barley (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk	21%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives with fever receiving anti-malarial drugs	21%	[plot \| correlate \| graph]
...and	Labor > Total work time > Females over males	21%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum	20%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Cotton	20%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Sport (inverse)	19%	[plot \| correlate \| graph]
...and	Crime > Rape victims (inverse)	19%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Garlic	19%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight	19%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Melons	18%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960	18%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cine fild developed	18%	[plot \| correlate \| graph]
...and	Industry > Electrolux CO2 emissions	18%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	17%	[plot \| correlate \| graph]
...and	Industry > Electrolux hazardous waste generation	17%	[plot \| correlate \| graph]
	Average:	25%

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: Urban NO2 concentration
Units: Micrograms/m3
Units: The values were originally collected at the city level. Each nation varied in terms of the number of cities reported, so this data should be used with some caution. Within each country the values have been normalized by city population for the year 1995, then added together to obtain the total concentration for the given country.

SOURCE: World Resources Institute, World Resources 1998-99; World Bank, World Development Indicators 2000; WHO,Air Management Information System-AMIS 2.0, 1998; and Global Urban Observatory, Citibase, 1999. via ciesin.org

Correlations > Environment Statistics > Urban NO2 concentration

Correlations between Environment > Urban NO2 concentration ...

About Correlations:

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NOTES:

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