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 > Paper manufacturing > Total cost of materials

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

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

Variable Strength
...and  Industry > Paper manufacturing > Total value of shipments 99% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 92% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 92% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 84% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 77% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 68% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 66% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 65% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 64% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 60% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 60% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 56% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 55% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 54% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 52% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 49% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 48% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 48% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 47% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 47% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 46% [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: 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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