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Correlations > Economy Statistics > GSP > Real GSP > Rail transportation (per capita)

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Showing latest available data.

Correlations between Economy > GSP > Real GSP > Rail transportation (per capita) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Rail transportation (per capita) 100% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per capita) 36% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per capita) 36% [plot | correlate | graph]
...and  Crime > Homicide > Victims by Sex > Female 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per capita) 33% [plot | correlate | graph]
...and  Crime > Homicide > Victims by Sex > Male (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Water transportation (inverse) 32% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours (per capita) 32% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (per capita) 31% [plot | correlate | graph]
...and  Health > Income Eligibility --Separate SCHIP Program (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 29% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Number of Schools (per capita) 29% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid 27% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (inverse) 27% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (inverse) 26% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 24% [plot | correlate | graph]
...and  Health > Beds 24% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 24% [plot | correlate | graph]
...and  Health > Occupational Fatality Rate 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Crop and animal production (Farms) 23% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (inverse) 23% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per capita) 23% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total capital expenditures (inverse) 22% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White (per capita) 22% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials (per $ GDP) 22% [plot | correlate | graph]
...and  People > Percent of Grandparents Responsible for their Grandchildren 22% [plot | correlate | graph]
...and  Health > Change in % of Preterm Births, '90-'03 21% [plot | correlate | graph]
...and  Energy > Alternative Fuel Vehicles (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > State and local (per $ GDP) 19% [plot | correlate | graph]
...and  Health > Change in Teen Birth Rate, '91-'03 19% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (inverse) 19% [plot | correlate | graph]
...and  Economy > Percent of Households With Retirement Income (inverse) 19% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 18% [plot | correlate | graph]
Average: 32%

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: Rail transportation, Real GSP (chained 2000 dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year. Per capita figures expressed per 1 population.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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