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Correlations > Labor Statistics > Food manufacturing > Production workers hours

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Correlations between Labor > Food manufacturing > Production workers hours ...

Variable Strength
...and  Industry > Food manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) 45% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 43% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) 42% [plot | correlate | graph]
...and  Health > Total Hospitals 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 40% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 40% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 39% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 39% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 39% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 38% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 38% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 36% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 36% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 35% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Number of Schools 34% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 33% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 33% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 33% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 32% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 32% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 31% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 30% [plot | correlate | graph]
...and  Energy > Wind Energy Electricity Production 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 30% [plot | correlate | graph]
...and  Health > Total Health Clinics 30% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Reduced-price Lunch Eligible 30% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Public 29% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 29% [plot | correlate | graph]
Average: 35%

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.

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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 covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment.

SOURCE: Annual Survey of Manufactures, 2004

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