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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP)

DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. Per $ GDP figures expressed per 10,000 $ gross domestic product.
VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 74% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 73% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 62% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 59% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 59% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 58% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 58% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 56% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 56% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 53% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 48% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 45% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 45% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 42% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 34% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 34% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Primary metal manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 32% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 32% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Revenue from All Sources (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 29% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Instruct. Expend.- Subtotal (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 28% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Current Expenditures (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Motion picture and sound recording industries (inverse) 26% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 25% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Expenditures for Education (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 25% [plot | correlate | graph]
Average: 42%

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

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