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Correlations > Labor Statistics > Food manufacturing > Number of employees (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Food manufacturing > Number of employees (per capita) ...

Variable Strength
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials (per $ GDP) 49% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (per capita) 46% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours (per capita) 46% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (per capita) 32% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 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 > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 28% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) (per capita) 24% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 22% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 22% [plot | correlate | graph]
...and  Health > Teen Death Rate 22% [plot | correlate | graph]
...and  Health > HMO Penetration Rate (inverse) 21% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per $ GDP) 21% [plot | correlate | graph]
...and  Health > Nonfederal Primary Care Physicians 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 19% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation (per capita) 19% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per capita) 19% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 19% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 19% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 18% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours (per capita) 18% [plot | correlate | graph]
...and  Health > Nonfederal Physicians per 100,000 Population (inverse) 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Educational services (per capita) (inverse) 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Educational services (per $ GDP) (inverse) 18% [plot | correlate | graph]
...and  Health > Income Eligibility --Separate SCHIP Program (inverse) 18% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 17% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 17% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 17% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed an Advanced Degree (inverse) 17% [plot | correlate | graph]
Average: 25%

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 all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses. Per capita figures expressed per 1,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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