NationMaster - Correlations > Environment

	Variable	Strength
...and	Agriculture > Yield > Wheat	73%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley	72%	[plot \| correlate \| graph]
...and	Agriculture > Fertilizer use	60%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth	51%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Wheat production	51%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum	45%	[plot \| correlate \| graph]
...and	Health > Red Cross donations	42%	[plot \| correlate \| graph]
...and	Health > Health care funding > Private per capita	41%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Peanut	40%	[plot \| correlate \| graph]
...and	Economy > Certified ISO companies	35%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting; ratio to GDP per capita	34%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > After 15 years	34%	[plot \| correlate \| graph]
...and	Health > Hospital beds	33%	[plot \| correlate \| graph]
...and	Health > Duration of hospitalisation	33%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Total Oilseed	33%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male (inverse)	31%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye	30%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60 (inverse)	30%	[plot \| correlate \| graph]
...and	Agriculture > Pesticide use	30%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males (inverse)	29%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male	28%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction	28%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of female (inverse)	28%	[plot \| correlate \| graph]
...and	Lifestyle > Financial satisfaction	27%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13	27%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males	27%	[plot \| correlate \| graph]
...and	Agriculture > Production > Total Coarse Grain	27%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > People with AIDS	27%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males	27%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions (inverse)	27%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of total (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Respiratory disease deaths	27%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP (inverse)	27%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of male (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Dependency ratio per 100 (inverse)	26%	[plot \| correlate \| graph]
...and	Health > Teen birth rate (inverse)	26%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Cotton	26%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc manufactures articles nes	26%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population	26%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	26%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Total Coarse Grain	25%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population	25%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting	25%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40 (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Total work time > Females (inverse)	25%	[plot \| correlate \| graph]
...and	People > Gender development	25%	[plot \| correlate \| graph]
...and	Labor > Working time to buy beef	25%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	25%	[plot \| correlate \| graph]
	Average:	32%

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: Fertilizer consumption per hectare of arable land
Units: Hundreds Grams/Hectare of Arable Land

SOURCE: World Bank, World Development Indicators 2001. Washington, DC: World Bank, 2001. via ciesin.org

Correlations > Environment Statistics > Fertiliser consumption

Correlations between Environment > Fertiliser consumption ...

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NOTES:

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