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Correlations > Industry Statistics > Primary metal manufacturing > Total value of shipments

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

Correlations between Industry > Primary metal manufacturing > Total value of shipments ...

Variable Strength
...and  Industry > Primary metal manufacturing > Total cost of materials 98% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 97% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 96% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 94% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 94% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 94% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 69% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 66% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 64% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 63% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 58% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 58% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 57% [plot | correlate | graph]
...and  Energy > Coal Consumption 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 56% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 55% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 54% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 54% [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 > Fabricated metal product manufacturing > Total value of shipments 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 49% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 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.

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: Includes the received or receivable net selling values, “Free on Board� (FOB) plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought and sold without further processing. Included are all items made by or for the establishments from material owned by it, whether sold, transferred to other plants of the same company, or shipped on consignment. The net selling value of products made in one plant on a contract basis from materials owned by another is reported by the plant providing the materials.

SOURCE: Annual Survey of Manufactures, 2004

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