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Correlations > Industry Statistics > Fabricated metal product manufacturing > Total capital expenditures

DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.
VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Pie Chart   Map   Correlations  

Showing latest available data.

Correlations between Industry > Fabricated metal product manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Fabricated metal product manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 94% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 93% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 92% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 91% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 91% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 91% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 90% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 90% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 90% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 90% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 89% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 86% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 85% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 82% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 82% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 81% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 81% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 80% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 79% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 78% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 76% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 76% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 76% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers hours 75% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 75% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 75% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 75% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 75% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 74% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 74% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 74% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 74% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 74% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total value of shipments 73% [plot | correlate | graph]
Average: 83%

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

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