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Correlations > Industry Statistics > Textile mills > Value added (per $ GDP)

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

Correlations between Industry > Textile mills > Value added (per $ GDP) ...

Variable Strength
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 99% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 98% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 94% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 93% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 93% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 92% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 90% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 89% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 86% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 85% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 85% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 80% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 79% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 70% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 66% [plot | correlate | graph]
...and  Health > Fire death rate 64% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 63% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 63% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 62% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 57% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 57% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 57% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours (per capita) 57% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 56% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 54% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 52% [plot | correlate | graph]
...and  Energy > Nuclear Energy (per capita) 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles (per capita) 51% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 50% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 45% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 45% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Government > 1972 Election > Youth voter turnout (inverse) 42% [plot | correlate | graph]
Average: 66%

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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