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StateMaster - Correlations > Health > Avg. Annual % Growth, FY1980-2000
 

Correlations > Health Statistics > Avg. Annual % Growth, FY1980-2000


Showing latest available data.

Correlations between Health > Avg. Annual % Growth, FY1980-2000 ...

Variable Strength
...and  People > Population > Percent change, 2000-2005 62% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That Were Built in 2000 or Later 45% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That Were Built in 1939 or Earlier (inverse) 31% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Private, Not For Profit (per capita) (inverse) 29% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 28% [plot | correlate | graph]
...and  Health > Growth in Medicaid Spending, FY1991-01 28% [plot | correlate | graph]
...and  Government > 1972 Election > Youth voter turnout (inverse) 28% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 27% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) (inverse) 26% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Social assistance (per capita) (inverse) 26% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > First-Professional (per capita) (inverse) 26% [plot | correlate | graph]
...and  Crime > Arson deaths (inverse) 26% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) (inverse) 25% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 25% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (per capita) (inverse) 25% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 25% [plot | correlate | graph]
...and  Health > Beds (inverse) 25% [plot | correlate | graph]
...and  Health > Inpatient Days (inverse) 24% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 24% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities 24% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Food services and drinking places 24% [plot | correlate | graph]
...and  People > Percent of the Native Population Born in their State of Residence (inverse) 24% [plot | correlate | graph]
...and  Health > Registered Nurses per 10,000 Population (inverse) 24% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 23% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (inverse) 23% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 23% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid (inverse) 23% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 23% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 23% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (inverse) 22% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per capita) (inverse) 22% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 22% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White (per capita) (inverse) 21% [plot | correlate | graph]
...and  Housing > Percent of Occupied Housing Units With Gas as Principal Heating Fuel (inverse) 21% [plot | correlate | graph]
...and  Health > Outpatient Visits (inverse) 21% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (inverse) 21% [plot | correlate | graph]
...and  Education > Public Libraries > Total Librarians(FTE) (per capita) (inverse) 21% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 20% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 20% [plot | correlate | graph]
Average: 25%

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.

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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: Average Annual Percent Growth in Personal Health Care Expenditures, FY1980-2000

SOURCE: statehealthfacts.org via StateMaster

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