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Correlations > Health Statistics > Retail Rx Drugs Per Capita

DEFINITION: Retail Prescription Drugs Filled at Pharmacies (per Capita), 2004
VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Health > Retail Rx Drugs Per Capita ...

Variable Strength
...and  Health > SSDI Beneficiaries as % of Population 63% [plot | correlate | graph]
...and  Health > High blood pressure 62% [plot | correlate | graph]
...and  Health > Admissions 58% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 49% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 48% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 47% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
...and  Health > Emergency Room Visits 43% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students (per capita) (inverse) 43% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 42% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 40% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 39% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 39% [plot | correlate | graph]
...and  Health > Diabetes 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 38% [plot | correlate | graph]
...and  Health > Medicare Enrollment as a % of Total Pop 37% [plot | correlate | graph]
...and  Health > Health Care as a % of Total Employment 37% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 36% [plot | correlate | graph]
...and  Health > Physical exercise (inverse) 36% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 36% [plot | correlate | graph]
...and  Health > Medicare Beneficiaries Below 150% FPL 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Asian/Pacific Islander (per capita) (inverse) 35% [plot | correlate | graph]
...and  Health > Tobacco use > Total current smokers 35% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > Percent of People 65 Years and Over Below Poverty Level 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 33% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Percent of Workers Who Traveled to Work by Car, Truck, or Van Alone 33% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Health > Fire death rate 32% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 32% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 32% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 32% [plot | correlate | graph]
...and  Health > Adult physical disabilities 31% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 31% [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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