FACTOID # 1: Puerto Rico has roughly the same gross state product as Montana, Wyoming and North Dakota combined.
 
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Correlations > Economy Statistics > GSP > Real GSP > Textile and textile product mills

DEFINITION: Textile and textile product mills, Real GSP (chained 2000 dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year.
VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Economy > GSP > Real GSP > Textile and textile product mills ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 100% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 99% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 95% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 95% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 95% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 93% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 93% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 93% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 84% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 82% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 79% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 73% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 73% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 69% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 67% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 67% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 67% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 65% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 64% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 61% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 59% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 57% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 54% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 54% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 52% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 48% [plot | correlate | graph]
...and  Energy > Nuclear Energy 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 47% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 47% [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

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