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Correlations > Industry Statistics > Nonmetallic mineral product manufacturing > Production workers wages

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.
VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Nonmetallic mineral product manufacturing > Production workers wages ...

Variable Strength
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 99% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 97% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 96% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 94% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 94% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 92% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 90% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 89% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 89% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 88% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 88% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 87% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 87% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 87% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 86% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 86% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 85% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 85% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 85% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 85% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 85% [plot | correlate | graph]
...and  Health > Total Health Care Employment 84% [plot | correlate | graph]
...and  Health > Total Retail Rx Drugs 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 84% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 84% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 83% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 83% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 83% [plot | correlate | graph]
...and  Health > Total Registered Nurses 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students 83% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 82% [plot | correlate | graph]
...and  Health > Total Dual Eligible Medicaid Spending 82% [plot | correlate | graph]
...and  Government > 2004 Election > Voting age population 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 82% [plot | correlate | graph]
...and  Government > 2004 Election > Total registered voters 81% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Seventh Grade Students 81% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eighth Grade Students 81% [plot | correlate | graph]
...and  Health > Chlamydia Cases 81% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade 81% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fifth Grade Students 81% [plot | correlate | graph]
Average: 86%

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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