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Correlations > Industry Statistics > Furniture & related product manufacturing > 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 > Furniture & related product manufacturing > Total capital expenditures ...

Variable Strength
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 86% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 85% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 84% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 82% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 81% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 78% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 77% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 76% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 76% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 74% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 72% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 72% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 71% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 70% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 70% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 69% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 68% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 68% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 66% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 66% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 65% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 65% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 65% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 64% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 64% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption 64% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 64% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 63% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 63% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 63% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 63% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White 63% [plot | correlate | graph]
Average: 71%

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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