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Correlations > Labor Statistics > Nonmetallic mineral product manufacturing > Number of employees

DEFINITION: This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses.
VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Nonmetallic mineral product manufacturing > Number of employees ...

Variable Strength
...and  Industry > Nonmetallic mineral product manufacturing > Value added 90% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 90% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 90% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 89% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 87% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 85% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 82% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 81% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 80% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 80% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 80% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 79% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 79% [plot | correlate | graph]
...and  Health > Total Dual Eligible Medicaid Spending 79% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 78% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 78% [plot | correlate | graph]
...and  Health > Total Health Care Employment 77% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 77% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 77% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 77% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 76% [plot | correlate | graph]
...and  Health > Total Retail Rx Drugs 76% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 76% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 76% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 76% [plot | correlate | graph]
...and  Health > Total Registered Nurses 76% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 76% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 75% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Hospitals and nursing and residential care facilities 74% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 74% [plot | correlate | graph]
...and  Health > Total Sales for Retail Rx Drugs 74% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 74% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 74% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade 73% [plot | correlate | graph]
...and  Health > Total Medicare Benefit Payments 72% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Utilities 72% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Utilities 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Utilities 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 71% [plot | correlate | graph]
...and  Government > 2004 Election > Voting age population 71% [plot | correlate | graph]
...and  Health > Total Hospitals 71% [plot | correlate | graph]
...and  Health > Total Physician Assistants 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 71% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Seventh Grade Students 70% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 70% [plot | correlate | graph]
Average: 78%

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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