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

Variable Strength
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 88% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 70% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 64% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 61% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 60% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 60% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 58% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 58% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 56% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 55% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 54% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 50% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 42% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 41% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 38% [plot | correlate | graph]
...and  Health > Prevalence of Poor Mental Health (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 36% [plot | correlate | graph]
Average: 51%

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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