NationMaster - Correlations > Environment > Water

	Variable	Strength
...and	Education > Teacher qualifications > Share with special training > Age 13 (inverse)	66%	[plot \| correlate \| graph]
...and	Environment > Water > Salinisation	50%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Police (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a television set	37%	[plot \| correlate \| graph]
...and	Health > Women circumcised	36%	[plot \| correlate \| graph]
...and	Health > Women circumcised share	36%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school	32%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut	30%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Different race	28%	[plot \| correlate \| graph]
...and	Religion > Islam > Percentage Muslim	28%	[plot \| correlate \| graph]
...and	Health > Acute care beds (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Motor vehicle deaths	27%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54 (inverse)	27%	[plot \| correlate \| graph]
...and	Currency > Terms of trade since 1995	26%	[plot \| correlate \| graph]
...and	Internet > Internet charges	26%	[plot \| correlate \| graph]
...and	Environment > Water > Freshwater pollution	26%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59 (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of gas-natural	24%	[plot \| correlate \| graph]
...and	Geography > Forested Land (inverse)	24%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of female (inverse)	24%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	23%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54 (inverse)	23%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of total (inverse)	23%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of poorest 20% (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary (inverse)	23%	[plot \| correlate \| graph]
...and	Labor > Female professionals (inverse)	22%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19 (inverse)	22%	[plot \| correlate \| graph]
...and	Crime > Rape victims (inverse)	21%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of male (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary	21%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Mandarins clementines and similar citrus	21%	[plot \| correlate \| graph]
...and	Labor > Female economic activity (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19 (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut	21%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40 (inverse)	21%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rice	21%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Oats (inverse)	20%	[plot \| correlate \| graph]
...and	Transportation > Airports > With paved runways > Over 3047 m	20%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Peanut	20%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 20-24 (inverse)	19%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64 (inverse)	19%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Immigrants	19%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of rural (inverse)	19%	[plot \| correlate \| graph]
...and	Media > Television reception through cable	19%	[plot \| correlate \| graph]
...and	Lifestyle > Somewhat interested in politics (inverse)	19%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19 (inverse)	18%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total (inverse)	18%	[plot \| correlate \| graph]
	Average:	26%

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: Percent of country's territory under severe water stress
Units: Percent of Land Area
Units: This data is derived from the WaterGap 2.1 gridded hydrological model developed by the Center for Environmental Systems Research, University of Kassel, Germany. The modellers derived, for each country, grid cell by grid cell estimates of whether the water consumption exceeds 40 percent of the water available in that particular grid cell. These were then converted to land area equivalents in order to calculate the percentage of the territory under severe water stress.

SOURCE: Center for Environmental Systems Research, University of Kassel, WaterGap 2.1, 2000 via ciesin.org

Correlations > Environment Statistics > Water > Severe water stress

Correlations between Environment > Water > Severe water stress ...

About Correlations:

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NOTES:

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