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 > Fabricated metal product manufacturing

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Correlations between Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 98% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 98% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 96% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 95% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 94% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 94% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 93% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 92% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 91% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 90% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 88% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 88% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 87% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 87% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 86% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 86% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 85% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 85% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 84% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 83% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 83% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 82% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 82% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 80% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 80% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 80% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 79% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 78% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 78% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 78% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 78% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 77% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 77% [plot | correlate | graph]
Average: 85%

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: Fabricated metal 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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