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Correlations > Industry Statistics > Nonmetallic mineral product manufacturing > Total capital expenditures

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

Correlations between Industry > Nonmetallic mineral product manufacturing > Total capital expenditures ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 84% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 83% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 81% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 80% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 80% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 78% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 78% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 78% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 77% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 76% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 76% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 75% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 75% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 74% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 73% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 73% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 73% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 72% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 72% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 71% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 71% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 70% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 70% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 70% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 70% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 70% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 69% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 69% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year 69% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 69% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 68% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 68% [plot | correlate | graph]
Average: 74%

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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