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 capita figures expressed per 1 population.
Correlations > Industry Statistics > Machinery manufacturing > Annual payroll (per capita)
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 capita figures expressed per 1 population.
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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
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