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Correlations > Health Statistics > Nonfederal Primary Care Physicians

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Showing latest available data.

Correlations between Health > Nonfederal Primary Care Physicians ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Educational services (per $ GDP) (inverse) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Educational services (per capita) (inverse) 41% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Number of Schools (per capita) 41% [plot | correlate | graph]
...and  Health > Occupational Fatality Rate 40% [plot | correlate | graph]
...and  People > Sex Ratio 39% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 39% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Doctors (per capita) (inverse) 38% [plot | correlate | graph]
...and  Health > Home Health Services (inverse) 34% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Tenth Grade Students (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Educational services (per $ GDP) (inverse) 32% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Educational services (per $ GDP) (inverse) 32% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 32% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 32% [plot | correlate | graph]
...and  Health > Nonfederal Physicians per 100,000 Population (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Legal services (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Legal services (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motion picture and sound recording industries (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Legal services (per capita) (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Legal services (per capita) (inverse) 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eighth Grade Students (per capita) 30% [plot | correlate | graph]
...and  Health > Income Eligibility --Separate SCHIP Program (inverse) 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students (per capita) 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Transit and ground passenger transportation (per capita) (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Securities, commodity contracts, investments (per capita) (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Securities, commodity contracts, investments (per capita) (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Educational services (per capita) (inverse) 29% [plot | correlate | graph]
...and  People > Population density (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Educational services (per capita) (inverse) 29% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Masters (per capita) (inverse) 29% [plot | correlate | graph]
...and  Health > HMO Penetration Rate (inverse) 28% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 28% [plot | correlate | graph]
...and  People > Percent of Civilian Population Who are Veterans 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Federal Revenue- Subtotal (per $ GDP) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students (per capita) 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other professional, scientific and technical services (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > State and local (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > State and local (per $ GDP) 27% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed an Advanced Degree (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 26% [plot | correlate | graph]
...and  Health > AIDS Case Rate All Ages (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Securities, commodity contracts, investments (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Securities, commodity contracts, investments (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Housing > Percent of Renter-occupied Units Spending 30% or More of Household Income on Rent and Utilities (inverse) 26% [plot | correlate | graph]
Average: 31%

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: Nonfederal Primary Care Physicians as a Percent of Total Physicians, 2004

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