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Correlations > Industry Statistics > Furniture & related product manufacturing > 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  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Industry > Furniture & related product manufacturing > Total capital expenditures (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 59% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 53% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 50% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 49% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 48% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 46% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 45% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 45% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 42% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 39% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 38% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 32% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 30% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 30% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 29% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 26% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food services and drinking places (per capita) (inverse) 26% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 25% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 25% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 24% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Miscellaneous manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Miscellaneous manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 23% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 22% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 22% [plot | correlate | graph]
Average: 35%

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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