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Correlations > Health Statistics > Tobacco use > Total current smokers

VIEW DATA:   Totals  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Health > Tobacco use > Total current smokers ...

Variable Strength
...and  Health > Tobacco use > Everyday smokers 92% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 55% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 46% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 44% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 43% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 42% [plot | correlate | graph]
...and  People > Percent of Households That are Married-Couple Families With Own Children (inverse) 41% [plot | correlate | graph]
...and  Lifestyle > Percent of Households That are Married-Couple Families With Own Children (inverse) 41% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 41% [plot | correlate | graph]
...and  Health > Fire death rate 38% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 37% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 37% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 36% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 36% [plot | correlate | graph]
...and  Health > Obesity Rate 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 35% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 35% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 35% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 35% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 35% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 34% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 34% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 32% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 31% [plot | correlate | graph]
...and  Education > Bachelor's degree or higher, by percentage (inverse) 31% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (inverse) 30% [plot | correlate | graph]
...and  Health > High blood pressure 30% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Health > Preterm Births as a % of Births 29% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Health > Infant Death Rate 28% [plot | correlate | graph]
...and  Government > 1972 Election > Youth voter turnout (inverse) 28% [plot | correlate | graph]
...and  Health > Medicare Beneficiaries Below 150% FPL 28% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Information Industry (inverse) 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 27% [plot | correlate | graph]
...and  Health > Emergency Room Visits 27% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 26% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 26% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 26% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per capita) 26% [plot | correlate | graph]
Average: 35%

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.

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 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: Percent of current smokers among the adult population.

SOURCE: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2004.

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