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Correlations > Industry Statistics > Wood 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   
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Showing latest available data.

Correlations between Industry > Wood product manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Wood product manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 53% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 45% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 42% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 41% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees (per capita) 36% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 35% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 34% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 33% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 31% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 27% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 27% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 26% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 25% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 25% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- male (per capita) (inverse) 24% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Forestry, fishing, and related activities 24% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- female (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 23% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 23% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 22% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 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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