FACTOID # 3: Mexican women spend 15.3% of their life in ill health.
 
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Correlations > Health Statistics > Obesity

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Showing latest available data.

Correlations between Health > Obesity ...

Variable Strength
...and  People > Teenage birth rate 66% [plot | correlate | graph]
...and  Health > Teenage pregnancy > Share 63% [plot | correlate | graph]
...and  Internet > Secure servers 61% [plot | correlate | graph]
...and  Health > Teen birth rate 60% [plot | correlate | graph]
...and  People > Size of houses 55% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Environmental 55% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Charity 55% [plot | correlate | graph]
...and  Food > Soft drink consumption 48% [plot | correlate | graph]
...and  Health > Suicide rate > Gender ratio 47% [plot | correlate | graph]
...and  Education > Young longtext readers 47% [plot | correlate | graph]
...and  Education > Universities > Top 100 44% [plot | correlate | graph]
...and  Agriculture > Tractor concentration (inverse) 44% [plot | correlate | graph]
...and  Lifestyle > Very proud of their nationality 44% [plot | correlate | graph]
...and  Labor > Female decision makers 43% [plot | correlate | graph]
...and  Crime > Prisoners > Per capita 43% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood manufactures nes (inverse) 43% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Parties 42% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Iron steel aluminium structures (inverse) 42% [plot | correlate | graph]
...and  Labor > Working time to buy beef (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Metal machine tool parts (inverse) 40% [plot | correlate | graph]
...and  Crime > Property crime victims 40% [plot | correlate | graph]
...and  Economy > Commitment to foreign aid (inverse) 39% [plot | correlate | graph]
...and  Education > Young shorttext readers (inverse) 39% [plot | correlate | graph]
...and  Crime > Believe in police efficiency 38% [plot | correlate | graph]
...and  Military > Conventional arms exports 38% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Nails screws nuts bolts (inverse) 38% [plot | correlate | graph]
...and  Crime > Assault victims 37% [plot | correlate | graph]
...and  Environment > Biosphere reserves area 37% [plot | correlate | graph]
...and  People > Marriage rate 36% [plot | correlate | graph]
...and  Education > Primary teacher age > Proportion under 30 36% [plot | correlate | graph]
...and  Education > Teacher qualifications > Share with degree > Age 13 36% [plot | correlate | graph]
...and  Environment > Municipal waste generation 36% [plot | correlate | graph]
...and  Lifestyle > Members of voluntary organisations > Professional 35% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Misc chemical products nes (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Prefabricated buildings (inverse) 35% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of cane and beet sugar 34% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Plastic sheets film etc (inverse) 33% [plot | correlate | graph]
...and  Energy > Gasoline prices (inverse) 32% [plot | correlate | graph]
...and  Education > Student attitude > Find school boring 32% [plot | correlate | graph]
...and  Energy > Coal Production > Million tonnes oil equivalent 32% [plot | correlate | graph]
...and  Energy > Coal Production > Million tonnes 31% [plot | correlate | graph]
...and  Education > Literacy > Adults with at least moderate literacy > female 30% [plot | correlate | graph]
...and  Education > Literacy > Adults with at least moderate literacy > male (inverse) 30% [plot | correlate | graph]
...and  Lifestyle > Not proud of their nationality (inverse) 30% [plot | correlate | graph]
...and  Education > Public spending per student > Primary level (inverse) 30% [plot | correlate | graph]
...and  Industry > Bus production (inverse) 30% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of zinc 30% [plot | correlate | graph]
...and  Lifestyle > Confidence in social institutions > Armed forces 30% [plot | correlate | graph]
...and  Lifestyle > Freedom in decision making 30% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Pigments paints varnish (inverse) 30% [plot | correlate | graph]
Average: 40%

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: Percentage of total population who have a BMI (body mass index) greater than 30 Kg/sq.meters (Data for Australia, Austria and Portugal is from 2002. All other data is from 2003). Obesity rates are defined as the percentage of the population with a Body Mass Index (BMI) over 30. The BMI is a single number that evaluates an individual's weight status in relation to height (weight/height2, with weight in kilograms and height in metres). For Australia, the United Kingdom and the United States, figures are based on health examinations, rather than self-reported information. Obesity estimates derived from health examinations are generally higher and more reliable than those coming from self-reports, because they preclude any misreporting of people's height and weight. However, health examinations are only conducted regularly in a few countries (OECD).

SOURCE: OECD Health Data 2005

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