FACTOID # 1: The United States has the world's highest number of McDonald’s restaurants per capita. Americans also die of obesity more often than any other nation, with more deaths than Mexico, Germany, Spain, Austria and Canada combined.
 
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Correlations > Food Statistics > Tea consumption

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Showing latest available data.

Correlations between Food > Tea consumption ...

Variable Strength
...and  Economy > Trade with US > US exports of books, printed matter 61% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of writing and art supplies 59% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of business machines and equipment 55% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of natural gas liquids 55% [plot | correlate | graph]
...and  Health > Respiratory disease deaths 52% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of furniture, household goods, etc 46% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of computers 46% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 30-34 (inverse) 45% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of computer accessories 44% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of drilling & oilfield equipment 44% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of nontextile floor tiles 43% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of wood supplies, manufactured 43% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 25-29 (inverse) 42% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of fertilizers, pesticides, and insecticides 42% [plot | correlate | graph]
...and  Health > Growth in health expenditure > Per annum 42% [plot | correlate | graph]
...and  Health > Practising physicians (inverse) 42% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 30-34 (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Iron steel aluminium structures (inverse) 42% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of rice 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of specialized mining 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of household appliances 40% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of rugs 40% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 35-39 (inverse) 39% [plot | correlate | graph]
...and  Education > Private school enrolment > Secondary level 39% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of finished metal shapes 38% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of minimum value shipments 37% [plot | correlate | graph]
...and  Education > Universities > Top 200 37% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of steelmaking and ferroalloying materials-unmanufacd 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of agric farming-unmanufactured 36% [plot | correlate | graph]
...and  Lifestyle > Amphetamine use 35% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of civilian aircraft 35% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 35-39 (inverse) 34% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of records, tapes, and disks 34% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of electric apparatus 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood chips waste (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Mech transmission equipment (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel pipe tube etc (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Coffee coffee substitute (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Cut paper board articles (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Heavy petrol bitum oils (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Plastic nes-primary form (inverse) 32% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of cookware, cutlery, tools 32% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total (inverse) 32% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of photo, service industry machinery 32% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of sulfur and nonmetallic minerals 31% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of telecommunications equipment 31% [plot | correlate | graph]
...and  Education > Public spending per student > Secondary level (inverse) 31% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total (inverse) 31% [plot | correlate | graph]
...and  Taxation > Total tax wedge > Single-income family (inverse) 31% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Non-electrical parts accessories machines (inverse) 31% [plot | correlate | graph]
Average: 39%

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: Kilograms of tea consumed per person per year, 2002.

SOURCE: Global Market Information Database, published by Euromonitor

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COMMENTARY     

Janine Sale
21st October 2011 		How can I get more current data on trends of tea consumption? Health benefits related to drinking tea versus other hot beverages and demographic data.

I am conducting a global research for a business opportunity.

I maybe reached at salejanine@gmail.com or via cell at 1-876-833-2642

Regards
Janine Sale

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