NationMaster - Correlations > Internet

	Variable	Strength
...and	Economy > Trade with US > US exports of tobacco, unmanufactured	47%	[plot \| correlate \| graph]
...and	Environment > Water > Dissolved oxygen concentration (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wheat meslin	43%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood in rough squared (inverse)	42%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cereal grains nes (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Female decision makers (inverse)	39%	[plot \| correlate \| graph]
...and	Media > E-Government rating (inverse)	39%	[plot \| correlate \| graph]
...and	Democracy > Female ministers	39%	[plot \| correlate \| graph]
...and	Internet > Livejournal users (inverse)	39%	[plot \| correlate \| graph]
...and	Religion > Jews (inverse)	38%	[plot \| correlate \| graph]
...and	Religion > Catholic > Dioceses (inverse)	38%	[plot \| correlate \| graph]
...and	Crime > Assault victims (inverse)	38%	[plot \| correlate \| graph]
...and	Crime > Unpaid diplomatic parking fines (inverse)	37%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of jewelry, etc (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood chips waste (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Number of PCs (inverse)	34%	[plot \| correlate \| graph]
...and	Immigration > New citizenships (inverse)	33%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Armed forces (inverse)	32%	[plot \| correlate \| graph]
...and	Agriculture > Tractor concentration	32%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of nonmonetary gold (inverse)	32%	[plot \| correlate \| graph]
...and	Internet > Internet Service Providers (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Paper industry machinery (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of generators, transformers, and accessories (inverse)	31%	[plot \| correlate \| graph]
...and	Food > Subway resturants (inverse)	31%	[plot \| correlate \| graph]
...and	Geography > Largest city population (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fertilizers crude	30%	[plot \| correlate \| graph]
...and	Agriculture > Arable and permanent cropland (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Tobacco, raw and wastes	30%	[plot \| correlate \| graph]
...and	Economy > Informal economy	30%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness (inverse)	30%	[plot \| correlate \| graph]
...and	Environment > SO2 exports (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of semiconductors and related devices (inverse)	29%	[plot \| correlate \| graph]
...and	Terrorism > Collective Political Violence in the 1990s without Excessive Targeting of Civilians (inverse)	29%	[plot \| correlate \| graph]
...and	Terrorism > Collective Political Violence in the 1990's combined (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Trade in goods	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Precious metal ore conc (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Plastic nes-primary form	29%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of plastic materials	29%	[plot \| correlate \| graph]
...and	Education > Young longtext readers (inverse)	29%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of tea, spices, and preparations (inverse)	28%	[plot \| correlate \| graph]
...and	Environment > Areas under protection (inverse)	28%	[plot \| correlate \| graph]
...and	Military > Manpower > Military age	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Oil seeds etc > soft oil (inverse)	28%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cereal grains nes	28%	[plot \| correlate \| graph]
	Average:	34%

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: Cost of Internet access for 40 hours at evening times at discounted rates, September 2002.

SOURCE: OECD, Communications Outlook 2003, Table 6.5

Correlations > Internet Statistics > Internet charges

Correlations between Internet > Internet charges ...

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