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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Furniture and related product manufacturing

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Correlations between Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 82% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 77% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 75% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 73% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 73% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 70% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 68% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 67% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 67% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 65% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 64% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 64% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 57% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 56% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 55% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours 55% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 55% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 53% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 52% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 52% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Health > Number of Inpatient Beds 51% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 51% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 50% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 50% [plot | correlate | graph]
Average: 59%

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: Furniture and related 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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