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StateMaster - Correlations > Industry > Plastics & rubber products manufacturing > Total cost of materials
 

Correlations > Industry Statistics > Plastics & rubber products manufacturing > Total cost of materials


Showing latest available data.

Correlations between Industry > Plastics & rubber products manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 99% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 95% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 95% [plot | correlate | graph]
...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 capital expenditures 92% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 90% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 90% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 88% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 87% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 86% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 86% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 83% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 82% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 82% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 81% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 80% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 80% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 80% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 79% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 78% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 77% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 77% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 77% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 77% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 77% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 77% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 76% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 76% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 76% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 76% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 76% [plot | correlate | graph]
Average: 83%

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 via StateMaster

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