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 > Transportation equipment manufacturing > Total cost of materials

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Correlations between Industry > Transportation equipment manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Transportation equipment manufacturing > Total value of shipments 98% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 93% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 89% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 85% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 80% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 79% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 78% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 77% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 63% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 63% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 61% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 61% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 55% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 54% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 54% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita) 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per capita) 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles 45% [plot | correlate | graph]
Average: 61%

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.

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