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Correlations > Industry Statistics > Primary metal manufacturing > Total capital expenditures

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Showing latest available data.

Correlations between Industry > Primary metal manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Primary metal manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 96% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 94% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 93% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 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 > Value added 92% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 90% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 72% [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) 67% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 63% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 61% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 61% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 60% [plot | correlate | graph]
...and  Energy > Coal Consumption 57% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 54% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 54% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 52% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 49% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 48% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 46% [plot | correlate | graph]
Average: 62%

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: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.

SOURCE: Annual Survey of Manufactures, 2004

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