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 > Primary metal manufacturing > Total cost of materials

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Correlations between Industry > Primary metal manufacturing > Total cost of materials ...

Variable Strength
...and  Industry > Primary metal manufacturing > Total value of shipments 98% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 96% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 93% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 93% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 91% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 91% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 90% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 87% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 76% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 76% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 72% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 66% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 66% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 62% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 61% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 59% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 59% [plot | correlate | graph]
...and  Energy > Coal Consumption 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 59% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 55% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 54% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 54% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 54% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 53% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 48% [plot | correlate | graph]
Average: 63%

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.

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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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