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Correlations > Industry Statistics > Textile mills > Total capital expenditures (per $ GDP)

DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. Per $ GDP figures expressed per 100,000 $ gross domestic product.
VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Textile mills > Total capital expenditures (per $ GDP) ...

Variable Strength
...and  Industry > Textile mills > Total capital expenditures 88% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 79% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 79% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 79% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 74% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 64% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 64% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 63% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 62% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 62% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 61% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 61% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 57% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 57% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 56% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 53% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 52% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 51% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 47% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 45% [plot | correlate | graph]
...and  Health > Prevalence of Poor Mental Health (inverse) 44% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 44% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 41% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 38% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per capita) 37% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 37% [plot | correlate | graph]
...and  Government > 1972 Election > Youth voter turnout (inverse) 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 35% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 34% [plot | correlate | graph]
Average: 55%

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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