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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Value added (per $ GDP)

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

Correlations between Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 98% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 56% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 49% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 48% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per capita) 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Legal services 42% [plot | correlate | graph]
...and  Health > Prevalence of Asthma (inverse) 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 > Total value of shipments 41% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per capita) 39% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per $ GDP) 38% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 37% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 36% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 36% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 35% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 32% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 32% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 31% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 29% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 28% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 27% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 26% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing 26% [plot | correlate | graph]
Average: 43%

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. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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