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Correlations > Industry Statistics > Textile product mills > Total capital expenditures

DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.
VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Pie Chart   Map   Correlations  

Showing latest available data.

Correlations between Industry > Textile product mills > Total capital expenditures ...

Variable Strength
...and  Industry > Textile product mills > Value added 85% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 82% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 79% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 76% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 73% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 73% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 72% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 71% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 67% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 66% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 64% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 64% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 63% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 61% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 60% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 56% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 56% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 52% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 52% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 50% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 47% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 47% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 46% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 46% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 46% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 46% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 45% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 45% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 44% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 44% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 44% [plot | correlate | graph]
Average: 57%

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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