NationMaster - Correlations > Internet > Communication technology patents

	Variable	Strength
...and	Economy > Trade with US > US imports of pulpwood and woodpulp	81%	[plot \| correlate \| graph]
...and	Economy > Research and development spending	77%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pulp and waste paper	71%	[plot \| correlate \| graph]
...and	Economy > Technological achievement	63%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development	62%	[plot \| correlate \| graph]
...and	Media > Royalties and fees	61%	[plot \| correlate \| graph]
...and	Geography > Forested Land	55%	[plot \| correlate \| graph]
...and	Labor > Researchers in labor force	54%	[plot \| correlate \| graph]
...and	Energy > Electricity > Production by source > Nuclear	45%	[plot \| correlate \| graph]
...and	People > Male population > Age 55-59 > % of the total	45%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total	44%	[plot \| correlate \| graph]
...and	Economy > Technology index	44%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood simply worked	38%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	37%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Furskins pieces, raw	35%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 35-44	35%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score	35%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	35%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue	34%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	34%	[plot \| correlate \| graph]
...and	Crime > Death penalty > Last executed (inverse)	33%	[plot \| correlate \| graph]
...and	Currency > Terms of trade since 1995	31%	[plot \| correlate \| graph]
...and	People > Male population > Age 35-39 > % of the total (inverse)	31%	[plot \| correlate \| graph]
...and	People > Female population > Age 60-64 > % of the total	30%	[plot \| correlate \| graph]
...and	People > Total population > Age 60-64 > % of the total	30%	[plot \| correlate \| graph]
...and	People > Male population > Age 60-64 > % of the total	29%	[plot \| correlate \| graph]
...and	Economy > Innovation	28%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark	28%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood in rough squared	28%	[plot \| correlate \| graph]
...and	Environment > Sustainability-satisfying companies	27%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	27%	[plot \| correlate \| graph]
...and	Economy > Patents granted	27%	[plot \| correlate \| graph]
...and	Education > Geographical aptitude results (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Female economic activity growth (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Measles immunization	26%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Secondary level	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of steelmaking materials	26%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood chips waste	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Paper industry machinery	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Prefabricated buildings	25%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34 > % of the total (inverse)	25%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	24%	[plot \| correlate \| graph]
	Average:	37%

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: Electric communication technique patents 1998-2000 per million population.

SOURCE: OECD, Communications Outlook 2003, Table 3.12

Correlations > Internet Statistics > Communication technology patents

Correlations between Internet > Communication technology patents ...

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