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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Textile and textile product mills

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

Correlations between Economy > GSP > Gross Operating Surplus > Textile and textile product mills ...

Variable Strength
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 86% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 85% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 84% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 83% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 83% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 82% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 82% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 80% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 80% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 80% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 80% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 80% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 79% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 77% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 76% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 75% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 75% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 74% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 72% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 72% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 67% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 67% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 67% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 66% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 66% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 65% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 60% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 53% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 52% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 49% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 48% [plot | correlate | graph]
...and  Energy > Nuclear Energy 45% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 43% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 39% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 37% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 36% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 33% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 33% [plot | correlate | graph]
Average: 64%

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: Textile and textile product mills, Gross Operating Surplus (current dollars)

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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