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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Value added

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

Correlations between Industry > Beverage & tobacco product manufacturing > Value added ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 77% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 76% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 72% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 69% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 65% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 60% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 58% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian 56% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal civilian 55% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Computer systems design and related services 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per capita) 46% [plot | correlate | graph]
...and  Health > Number of Inpatient Beds 45% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 43% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services 41% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 41% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 41% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer systems design and related services 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer systems design and related services 40% [plot | correlate | graph]
...and  Crime > Women under the jurisdiction of State or Federal correctional authorities 39% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services 38% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 37% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Legal services 37% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 37% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Information and data processing services 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 36% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 35% [plot | correlate | graph]
Average: 51%

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: This measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process between the beginning- and end-of-year inventories.

SOURCE: Annual Survey of Manufactures, 2004

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