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Correlations > Health Statistics > Inpatient Days

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

Correlations between Health > Inpatient Days ...

Variable Strength
...and  Health > Beds 90% [plot | correlate | graph]
...and  Health > Admissions 51% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Four Year (per capita) 45% [plot | correlate | graph]
...and  Health > Registered Nurses per 10,000 Population 43% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages (per capita) 42% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Federal Revenue- Subtotal (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per capita) 37% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Private, Not For Profit (per capita) 35% [plot | correlate | graph]
...and  People > Population > Percent change, 2000-2005 (inverse) 33% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per $ GDP) (inverse) 32% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per $ GDP) (inverse) 32% [plot | correlate | graph]
...and  Lifestyle > Percent of Households With One or More People Under 18 Years (inverse) 32% [plot | correlate | graph]
...and  People > Percent of Households With One or More People Under 18 Years (inverse) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Lifestyle > Average Household Size (inverse) 31% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 31% [plot | correlate | graph]
...and  People > Percent of Children With All Parents in the Labor Force 31% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Total Degree Granting Title IV Eligible (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Waste management and remediation services (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Waste management and remediation services (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 27% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (per capita) 26% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 26% [plot | correlate | graph]
...and  Health > Expenses per Inpatient Day (inverse) 26% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year (per capita) 25% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers (average per year) (per capita) 25% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ninth Grade Students (per capita) (inverse) 25% [plot | correlate | graph]
...and  Economy > Percent of People 65 Years and Over Below Poverty Level 25% [plot | correlate | graph]
...and  Health > Avg. Annual % Growth, FY1980-2000 (inverse) 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 24% [plot | correlate | graph]
...and  Health > Nursing Home Residents as % of 65+ Pop 24% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per capita) 24% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 23% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Pupil/Teacher Ratio (inverse) 23% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 23% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Third Grade Students (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motion picture and sound recording industries (per capita) 22% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 22% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eighth Grade Students (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Publishing including software 22% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motion picture and sound recording industries (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 21% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Seventh Grade Students (per capita) (inverse) 20% [plot | correlate | graph]
Average: 30%

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: Inpatient Days per 1,000 Population, 2003

SOURCE: statehealthfacts.org

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