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Correlations > Health Statistics > Percent of Women with Arthritis

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Showing latest available data.

Correlations between Health > Percent of Women with Arthritis ...

Variable Strength
...and  Health > SSDI Beneficiaries as % of Population 55% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 50% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 49% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Health > High blood pressure 45% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 44% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 44% [plot | correlate | graph]
...and  Labor > Percent of People Who are in the Labor Force (Including Armed Forces) (inverse) 44% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 41% [plot | correlate | graph]
...and  Health > Disability prevalence 41% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other services, except government (per capita) (inverse) 37% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in Management, Business and Financial Occupations (inverse) 37% [plot | correlate | graph]
...and  Health > Tobacco use > Total current smokers 37% [plot | correlate | graph]
...and  Education > Bachelor's degree or higher, by percentage (inverse) 36% [plot | correlate | graph]
...and  Health > Adult physical disabilities 35% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 35% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 34% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > Median Household Income (inverse) 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 31% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 31% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 30% [plot | correlate | graph]
...and  Health > Medicare Enrollment as a % of Total Pop 30% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 30% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Health > Admissions 28% [plot | correlate | graph]
...and  Health > Obesity Rate 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (inverse) 28% [plot | correlate | graph]
...and  Health > High cholesterol 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per capita) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per capita) (inverse) 28% [plot | correlate | graph]
...and  Health > Diabetes 27% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 27% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 27% [plot | correlate | graph]
Average: 36%

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: Percentage of Women who have Arthritis or Chronic Joint Symptoms, 2001

SOURCE: statehealthfacts.org

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