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StateMaster - Correlations > Industry > Beverage & tobacco product manufacturing > Total capital expenditures
 

Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Total capital expenditures


Showing latest available data.

Correlations between Industry > Beverage & tobacco product manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 66% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 52% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 51% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 47% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 42% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 41% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 41% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 40% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 40% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services 38% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 37% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 37% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 36% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 35% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 35% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 34% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 34% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 34% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Air transportation (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 32% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 32% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 31% [plot | correlate | graph]
Average: 40%

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.

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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 via StateMaster

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