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Correlations > Health Statistics > Tobacco use > Everyday smokers

DEFINITION: Percent of respondents who identified themselves as everyday smokers.
VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Health > Tobacco use > Everyday smokers ...

Variable Strength
...and  Health > Tobacco use > Total current smokers 92% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 53% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 49% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 49% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 49% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 47% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 44% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 43% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 40% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 40% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 39% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) (per capita) 38% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 38% [plot | correlate | graph]
...and  Education > Bachelor's degree or higher, by percentage (inverse) 37% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 37% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 37% [plot | correlate | graph]
...and  People > Percent of People Who Speak a Language Other Than English At Home (inverse) 36% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 35% [plot | correlate | graph]
...and  People > Percent of Households That are Married-Couple Families With Own Children (inverse) 35% [plot | correlate | graph]
...and  Lifestyle > Percent of Households That are Married-Couple Families With Own Children (inverse) 35% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 35% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 35% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Health > Obesity Rate 35% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 34% [plot | correlate | graph]
...and  Health > High blood pressure 34% [plot | correlate | graph]
...and  People > Percent of People Who are Some Other Race Alone (inverse) 34% [plot | correlate | graph]
...and  People > Percent of People Who are Foreign Born (inverse) 34% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Hispanic (inverse) 32% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 32% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 32% [plot | correlate | graph]
Average: 38%

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
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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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