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

VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

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

Variable Strength
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 73% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 66% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 63% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 60% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 55% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 47% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 45% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 44% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 43% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 42% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 42% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 40% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 39% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 37% [plot | correlate | graph]
...and  Economy > Personal income (per capita) (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 37% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 37% [plot | correlate | graph]
...and  Housing > Median Housing Value of Owner-Occupied Housing Units (inverse) 37% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 36% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 36% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > Median Earnings for Female Full-Time, Year-Round Workers (inverse) 35% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 34% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 34% [plot | correlate | graph]
...and  Lifestyle > Percent of Men Who Never Married (inverse) 34% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 34% [plot | correlate | graph]
...and  People > Percent of People Who are Foreign Born (inverse) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Construction (inverse) 33% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 33% [plot | correlate | graph]
Average: 42%

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



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 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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