NationMaster - Correlations > Media > Total broadcasters revenue per capita

	Variable	Strength
...and	Media > Public funding of broadcasters revenue per capita	51%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of chemicals-fertilizers (inverse)	50%	[plot \| correlate \| graph]
...and	Agriculture > Arable and permanent cropland (inverse)	49%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female (inverse)	48%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male (inverse)	47%	[plot \| correlate \| graph]
...and	Media > Mobile phones	47%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Legal system	44%	[plot \| correlate \| graph]
...and	People > Chinese population (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males (inverse)	41%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	39%	[plot \| correlate \| graph]
...and	Environment > Protected area	39%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > Public institution index	38%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Hide skin excl fur raw (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate	38%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of apparel and household goods-cotton (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of petroleum products, other (inverse)	36%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Regulation > Employment Conditions (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Oil etc additives fluids (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nuts and preparations (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index	35%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of military aircraft, complete	34%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84 > % of the total (inverse)	34%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	34%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of excavating machinery (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of agricultural machinery, equipment (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Oil seeds etc > soft oil (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Manufactured fertilizers (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Gold non-monetary excl ore (inverse)	31%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Tertiary level	30%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Secondary level	30%	[plot \| correlate \| graph]
...and	Education > Proportion of 19 year olds in secondary education	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of feedstuff and foodgrains (inverse)	29%	[plot \| correlate \| graph]
...and	Environment > Known mammal species (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Education spending (% of GDP)	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Goods service vehicles (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cereal meal flour nes (inverse)	28%	[plot \| correlate \| graph]
...and	Media > Television reception through satellite	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of materials handling equipment (inverse)	28%	[plot \| correlate \| graph]
...and	Environment > Wildness (inverse)	28%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged (inverse)	28%	[plot \| correlate \| graph]
...and	Religion > Catholic > Dioceses (inverse)	28%	[plot \| correlate \| graph]
...and	Internet > Internet Service Providers (inverse)	28%	[plot \| correlate \| graph]
	Average:	35%

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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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: Total broadcasters' revenue, 1999, US$ per capita.

SOURCE: OECD Communications Outlook 2001

Correlations > Media Statistics > Total broadcasters revenue per capita

Correlations between Media > Total broadcasters revenue per capita ...

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