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

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

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

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 98% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 63% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 59% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 53% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 53% [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  Military > Department of Defense > Procurement and All Salaries (per capita) 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per capita) 42% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 42% [plot | correlate | graph]
...and  Health > Prevalence of Asthma (inverse) 41% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 40% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Legal services 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per $ GDP) 38% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 36% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 35% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 34% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per $ GDP) 34% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Information and data processing services (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Information and data processing services (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Information and data processing services (per capita) 32% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 29% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 28% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in local jails (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 26% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 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: Includes the received or receivable net selling values, “Free on Board� (FOB) plant (exclusive of freight and taxes), of all products shipped, both primary and secondary, as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought and sold without further processing. Included are all items made by or for the establishments from material owned by it, whether sold, transferred to other plants of the same company, or shipped on consignment. The net selling value of products made in one plant on a contract basis from materials owned by another is reported by the plant providing the materials. Per $ GDP figures expressed per 100 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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