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 > Electrical equipment and appliance manufacturing

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

Correlations between Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 89% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 79% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 78% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 74% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 73% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 69% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 68% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 67% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 63% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 59% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 59% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 52% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 52% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 48% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 46% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 45% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) 45% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 45% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 45% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 43% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 43% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 42% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 42% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 41% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 41% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 40% [plot | correlate | graph]
Average: 55%

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: Electrical equipment and appliance 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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