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Correlations > Industry Statistics > Total Manufacturing > Total capital expenditures

VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Industry > Total Manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Total Manufacturing > Total value of shipments 98% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 97% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 94% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 92% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 91% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 90% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 89% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 89% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 89% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 88% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 87% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 86% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 85% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) 85% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 84% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 84% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 84% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 84% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Number of Schools 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 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  Economy > GSP > Gross Operating Surplus > Warehousing and storage 83% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 83% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 81% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 81% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 81% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 81% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 80% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students 80% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program 79% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 79% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 79% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 79% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 79% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 78% [plot | correlate | graph]
Average: 85%

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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