FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Machinery manufacturing > Total cost of materials

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

Correlations between Industry > Machinery manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Machinery manufacturing > Total value of shipments 99% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 96% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 91% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 89% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 84% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 78% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 77% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 76% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 76% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 75% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 74% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 74% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 74% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 73% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 73% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 73% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 73% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 72% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 72% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 72% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 72% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 71% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 70% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 70% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 69% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 69% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 68% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 67% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 67% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 66% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 65% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 64% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 64% [plot | correlate | graph]
Average: 75%

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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