FACTOID # 1: Puerto Rico has roughly the same gross state product as Montana, Wyoming and North Dakota combined.
 
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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Food product manufacturing

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

Correlations between Economy > GSP > Gross Operating Surplus > Food product manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Food product manufacturing 81% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 81% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 72% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 61% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 60% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Computer systems design and related services 53% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Information and data processing services 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer systems design and related services 47% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer systems design and related services 47% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal civilian 46% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 42% [plot | correlate | graph]
...and  Health > Gonorrhea Cases 41% [plot | correlate | graph]
...and  Health > Number of Inpatient Beds 41% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 40% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic 39% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Warehousing and storage 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 39% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Black, Non-Hispanic 38% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic 38% [plot | correlate | graph]
...and  People > Total Black Population 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Air transportation 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 36% [plot | correlate | graph]
Average: 47%

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: Food product manufacturing, Gross Operating Surplus (current dollars)

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

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