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Correlations > Industry Statistics > Furniture & related product manufacturing > Total cost of materials

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

Correlations between Industry > Furniture & related product manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Furniture & related product manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 96% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 93% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 91% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 91% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 84% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 79% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 77% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 75% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 74% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 72% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 71% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 67% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 66% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 62% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 61% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 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  Industry > Fabricated metal product manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 57% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 55% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 54% [plot | correlate | graph]
Average: 66%

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: This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year.

SOURCE: Annual Survey of Manufactures, 2004

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