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Correlations > Industry Statistics > Textile product mills > Value added

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

Correlations between Industry > Textile product mills > Value added ...

Variable Strength
...and  Industry > Textile product mills > Total value of shipments 92% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 87% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 85% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 83% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 83% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 73% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 73% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 69% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 62% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 62% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 61% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 60% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 59% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 59% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 58% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 58% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 57% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 57% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 56% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 56% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 56% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 55% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 55% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 55% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 53% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 50% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 48% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 48% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 44% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
Average: 58%

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.

SOURCE: Annual Survey of Manufactures, 2004

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