FACTOID # 3: 73.3% of America's gross operating surplus in motion picture and sound recording industries comes from California.
 
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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing

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

Correlations between Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 94% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 94% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 83% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 79% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 77% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 74% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 74% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 74% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 73% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 73% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 73% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 72% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 71% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 70% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 70% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 69% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 69% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 69% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 67% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 67% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 67% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 67% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 66% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 66% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 66% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 66% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
Average: 72%

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: Plastics and rubber products 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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