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 > Value added

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Correlations between Industry > Primary metal manufacturing > Value added ...

Variable Strength
...and  Industry > Primary metal manufacturing > Total value of shipments 97% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 94% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 94% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 93% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 93% [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 > Total cost of materials 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 62% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 61% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 61% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 58% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 57% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 54% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 53% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 53% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 52% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 52% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 50% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 50% [plot | correlate | graph]
...and  Energy > Coal Consumption 49% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 48% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 47% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 47% [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 measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process between the beginning- and end-of-year inventories.

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