FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Machinery manufacturing > Total capital expenditures

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Correlations between Industry > Machinery manufacturing > Total capital expenditures ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 90% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 87% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 87% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 87% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 85% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 83% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 83% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 82% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 81% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 80% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 78% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 78% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 77% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 76% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 75% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 75% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 74% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 74% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 71% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 71% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 71% [plot | correlate | graph]
...and  Education > Public Libraries > Users of Electronic Resources 70% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 70% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 70% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 70% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 70% [plot | correlate | graph]
Average: 78%

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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