FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Food manufacturing > Production workers wages

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Correlations between Industry > Food manufacturing > Production workers wages ...

Variable Strength
...and  Industry > Food manufacturing > Annual payroll 88% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 85% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 80% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures 70% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 66% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 65% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 64% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 61% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Printing and related support activities 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 60% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 60% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 59% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 59% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) 58% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 57% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total value of shipments 57% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 56% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers hours 56% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Value added 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 55% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 55% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Production workers wages 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 53% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
Average: 61%

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 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.

SOURCE: Annual Survey of Manufactures, 2004

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