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StateMaster - Correlations > Health > Change in SCHIP Enrollment, 2003-04
 

Correlations > Health Statistics > Change in SCHIP Enrollment, 2003-04


Showing latest available data.

Correlations between Health > Change in SCHIP Enrollment, 2003-04 ...

Variable Strength
...and  Labor > Textile mills > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 25% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 25% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 24% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 23% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 22% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 22% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 21% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 21% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 21% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 21% [plot | correlate | graph]
...and  Health > Change in Number with Medicaid 19% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students (inverse) 18% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Other transportation equipment manufacturing (inverse) 17% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 16% [plot | correlate | graph]
...and  People > Total Hispanic Population (inverse) 15% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Hispanic (inverse) 15% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal Reserve banks, credit intermediation and related services (inverse) 15% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per $ GDP) 15% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours (inverse) 15% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 14% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic (inverse) 14% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Computer and electronic product manufacturing (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Funds, trusts, and other financial vehicles (per $ GDP) (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Funds, trusts, and other financial vehicles (inverse) 13% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 13% [plot | correlate | graph]
...and  Health > Total HCBS Waivers (inverse) 13% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 13% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 13% [plot | correlate | graph]
...and  Health > Limited Activity Days per Month 13% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Primary metal manufacturing (inverse) 12% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per capita) 12% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (inverse) 12% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Administrative and support services 12% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid 12% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials (inverse) 12% [plot | correlate | graph]
...and  Industry > Miscellaneous manufacturing > Total capital expenditures (inverse) 12% [plot | correlate | graph]
...and  Health > Number of HMOs (inverse) 12% [plot | correlate | graph]
...and  People > Population > Change in numbers, 2000-2005 (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Chemical manufacturing (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Funds, trusts, and other financial vehicles (per $ GDP) (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Funds, trusts, and other financial vehicles (per $ GDP) (inverse) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing (inverse) 11% [plot | correlate | graph]
Average: 17%

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: Percent Change in SCHIP Enrollment, December 2003-December 2004

SOURCE: statehealthfacts.org via StateMaster

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