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 > Paper manufacturing > Annual payroll

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Showing latest available data.

Correlations between Industry > Paper manufacturing > Annual payroll ...

Variable Strength
...and  Industry > Paper manufacturing > Total value of shipments 78% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 77% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 67% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 67% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 62% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 62% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 55% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 55% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 54% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 52% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 51% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers hours 50% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 48% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 48% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 47% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 46% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 45% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 45% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total value of shipments 44% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 44% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 44% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Value added 44% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 44% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Production workers wages 43% [plot | correlate | graph]
Average: 54%

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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