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Correlations > Industry Statistics > Food manufacturing > Total capital expenditures

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

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

Variable Strength
...and  Industry > Food manufacturing > Value added 74% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 74% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 73% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 69% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 60% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 59% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 56% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 55% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Warehousing and storage 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 52% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 52% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Private, Not For Profit 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 51% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Health > Number of Special Care Beds 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 49% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 48% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Social assistance 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Social assistance 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 47% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Social assistance 47% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 47% [plot | correlate | graph]
Average: 53%

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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