FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Food manufacturing > Total value of shipments (per $ GDP)

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Correlations between Industry > Food manufacturing > Total value of shipments (per $ GDP) ...

Variable Strength
...and  Industry > Food manufacturing > Total cost of materials (per $ GDP) 95% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per $ GDP) 88% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 87% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per capita) 86% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures (per $ GDP) 67% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours (per capita) 65% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (per capita) 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 60% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees (per capita) 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 50% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 44% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 43% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse) 33% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per capita) 30% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per capita) 30% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 30% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Health > Asthma > Adult cases (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Health > HIV Testing Rate > Ever Tested (inverse) 28% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 27% [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 10 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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