FACTOID # 2: China has the most workers, so it's a good thing they've also got the most TV's.
 
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Correlations > Media Statistics > Telecommunications revenue

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Showing latest available data.

Correlations between Media > Telecommunications revenue ...

Variable Strength
...and  People > Couples with children (inverse) 50% [plot | correlate | graph]
...and  Religion > Catholics as percentage (inverse) 45% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Sport 43% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wire products excl insulators electrical (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Plastic tube pipe hose (inverse) 41% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Flour meal wheat meslin (inverse) 41% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Printed matter (inverse) 41% [plot | correlate | graph]
...and  Lifestyle > Amphetamine use 40% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of fish and shellfish 40% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Articles nes of plastics (inverse) 40% [plot | correlate | graph]
...and  Education > Average years of schooling of adults 39% [plot | correlate | graph]
...and  Crime > Prisoners > Pre-trial detainees (inverse) 39% [plot | correlate | graph]
...and  Health > Suicide rate > Young males 38% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 20-24 38% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel bars rods etc (inverse) 38% [plot | correlate | graph]
...and  Lifestyle > Undesirable neighbours > Drug addicts 35% [plot | correlate | graph]
...and  Economy > Overall productivity > PPP (inverse) 35% [plot | correlate | graph]
...and  Lifestyle > Cannabis use 35% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of food oils and oilseeds 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Mineral manufactures nes (inverse) 34% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Monofilament rods sticks (inverse) 33% [plot | correlate | graph]
...and  Lifestyle > Political action > Signed a petition 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel aluminium structures (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Agriculture machine excl tractors (inverse) 32% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Professional 31% [plot | correlate | graph]
...and  Food > Bottled water consumption (inverse) 31% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Cut paper board articles (inverse) 31% [plot | correlate | graph]
...and  Education > Expected duration of education for all students 31% [plot | correlate | graph]
...and  Economy > Gender income ratio 31% [plot | correlate | graph]
...and  Health > Digestive disease deaths (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Iron steel aluminium structures (inverse) 30% [plot | correlate | graph]
...and  Crime > Assault victims 30% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Metal machine tool parts (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Medicaments include veterinary (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Paper paperboard (inverse) 29% [plot | correlate | graph]
...and  Health > Obesity 29% [plot | correlate | graph]
...and  Internet > Secure servers 29% [plot | correlate | graph]
...and  Education > Scientific literacy 29% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Crustaceans molluscs etc (inverse) 29% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Education 29% [plot | correlate | graph]
...and  People > One person households 28% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Base metal manufactures nes (inverse) 28% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel pipe tube etc (inverse) 28% [plot | correlate | graph]
...and  Education > School life expectancy > Total 28% [plot | correlate | graph]
...and  Media > DVD region 28% [plot | correlate | graph]
...and  Taxation > Total tax wedge > Single worker (inverse) 28% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Trunks and cases (inverse) 28% [plot | correlate | graph]
...and  Lifestyle > Political action > Attended a demonstration (inverse) 27% [plot | correlate | graph]
...and  Agriculture > Root and tuber production growth 27% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of dairy products and eggs (inverse) 27% [plot | correlate | graph]
Average: 33%

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.

VIEW FOR THIS VARIABLE:

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: Telecommunications revenue as % of GDP.

SOURCE: OECD, Communications Outlook 2003, Table 3.2

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