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Correlations > Industry Statistics > Food manufacturing > Production workers wages (per $ GDP)

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Correlations between Industry > Food manufacturing > Production workers wages (per $ GDP) ...

Variable Strength
...and  Industry > Food manufacturing > Annual payroll (per $ GDP) 90% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per capita) 83% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (per capita) 82% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours (per capita) 80% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures (per $ GDP) 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per capita) 58% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 40% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (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  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 33% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation (per capita) 31% [plot | correlate | graph]
...and  Health > Asthma > Adult cases (inverse) 30% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) (inverse) 29% [plot | correlate | graph]
...and  Health > HIV Testing Rate > Ever Tested (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 28% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Crop and animal production (Farms) 27% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Health > Cholesterol Screening Rate 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 24% [plot | correlate | graph]
Average: 44%

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 item includes the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such as salaries, wages, commissions, dismissal pay, bonuses, vacation and sick leave pay, and compensation in kind, prior to such deductions as employees' social security contributions, withholding taxes, group insurance, union dues, and savings bonds. The total includes salaries of officers of corporations; it excludes payments to proprietors or partners of unincorporated concerns. Also excluded are payments to members of Armed Forces and pensioners carried on the active payrolls of manufacturing establishments. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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