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Correlations > Industry Statistics > Total Manufacturing > Total value of shipments (per $ GDP)

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Showing latest available data.

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

Variable Strength
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 95% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 79% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 69% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 62% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 57% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 56% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 47% [plot | correlate | graph]
...and  Health > Obesity Rate 47% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 46% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 44% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 43% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 42% [plot | correlate | graph]
...and  Housing > Median Housing Value of Owner-Occupied Housing Units (inverse) 42% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 41% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Construction (inverse) 41% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 40% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 40% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
Average: 49%

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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