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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP)

DEFINITION: This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year. Per $ GDP figures expressed per 10,000 $ gross domestic product.
VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 68% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 50% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 45% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 40% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 39% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 38% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 37% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 36% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 34% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 34% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 33% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 33% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 33% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 30% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 28% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 28% [plot | correlate | graph]
Average: 41%

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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