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StateMaster - Correlations > Health > Obesity Rate
 

Correlations > Health Statistics > Obesity Rate


Showing latest available data.

Correlations between Health > Obesity Rate ...

Variable Strength
...and  Health > Overweight and Obesity Rate 66% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 50% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 49% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 47% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 46% [plot | correlate | graph]
...and  Health > Diabetes 46% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 44% [plot | correlate | graph]
...and  Health > High blood pressure 44% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 43% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 42% [plot | correlate | graph]
...and  Health > Fire death rate 41% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 40% [plot | correlate | graph]
...and  Health > Physical exercise (inverse) 39% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per capita) (inverse) 38% [plot | correlate | graph]
...and  Education > Bachelor's degree or higher, by percentage (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per capita) (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 37% [plot | correlate | graph]
...and  Health > Alcohol consumption > Casual drinkers (inverse) 36% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 36% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 36% [plot | correlate | graph]
...and  Health > Tobacco use > Total current smokers 36% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 35% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 35% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 35% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 35% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 34% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 33% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 33% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 33% [plot | correlate | graph]
...and  Health > Fruits and vegetables consumption (inverse) 33% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 32% [plot | correlate | graph]
...and  Health > Preterm Births as a % of Births 32% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 31% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Industrial firms > Total number of establishments (per capita) (inverse) 31% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Race / Ethnicity Unknown (per capita) (inverse) 31% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed an Advanced Degree (inverse) 31% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita) (inverse) 30% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 30% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed High School (Including Equivalency) (inverse) 30% [plot | correlate | graph]
...and  Economy > Median Household Income (inverse) 30% [plot | correlate | graph]
Average: 37%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. StateMaster'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 states, rather subsets of states matched together.

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NOTES:

  • Outliers have been removed only where they are outside 3 standard deviations of the mean.
  • Only variable pairs where at least 15 states 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: Obesity Prevalence Among U.S. Adults, 2001

SOURCE: statehealthfacts.org via StateMaster

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