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

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

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

Variable Strength
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 95% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per capita) 80% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per $ GDP) 77% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 69% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures (per $ GDP) 60% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours (per capita) 59% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per capita) 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 50% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees (per capita) 49% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 41% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) 31% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 31% [plot | correlate | graph]
...and  Health > HIV Testing Rate > Ever Tested (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 31% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials (per $ GDP) 31% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse) 30% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Health > Asthma > Adult cases (inverse) 30% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White (per capita) 30% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent White 27% [plot | correlate | graph]
...and  Health > Nursing Home Residents as % of 65+ Pop 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours (per capita) 26% [plot | correlate | graph]
Average: 40%

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 100 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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