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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Warehousing and storage (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Warehousing and storage (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Real GSP > Warehousing and storage (per $ GDP) 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per capita) 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage (per $ GDP) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage (per capita) 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities (per capita) (inverse) 32% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Health > Physician Assistants per 10,000 Population (inverse) 30% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 28% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 26% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 26% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 26% [plot | correlate | graph]
...and  Health > Obesity Rate 25% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 25% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 25% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 24% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Construction (inverse) 24% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Energy > Coal Consumption (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 22% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 22% [plot | correlate | graph]
...and  Health > HMO Enrollment Growth (inverse) 21% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 21% [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: Warehousing and storage, Gross Operating Surplus (current dollars) Per $ GDP figures expressed per 10,000 $ gross domestic product.

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

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