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Correlations > Industry Statistics > Machinery manufacturing > Total cost of materials (per $ GDP)

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

Correlations between Industry > Machinery manufacturing > Total cost of materials (per $ GDP) ...

Variable Strength
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 97% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 90% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 79% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) 55% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees (per capita) 45% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita) 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 39% [plot | correlate | graph]
...and  Health > Nursing Home Residents as % of 65+ Pop 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 37% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 36% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 34% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
Average: 48%

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: This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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