FACTOID # 3: 73.3% of America's gross operating surplus in motion picture and sound recording industries comes from California.
 
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Correlations > Economy Statistics > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing

DEFINITION: Nonmetallic mineral product manufacturing, Compensation of Employees (current dollars) Compensation of Employees is a statisical term which refers to the total gross (pre-tax) wages paid by employers to employeesfor work done in an accounting period, such as a quarter or a year. It represents roughly the total labor cost to an employer.
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Correlations between Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing ...

Variable Strength
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 97% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 97% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 97% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 94% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 93% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 90% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 90% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 89% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 88% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 87% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 87% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 87% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 86% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 86% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 86% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 86% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 86% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 85% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 85% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 85% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 84% [plot | correlate | graph]
...and  Health > Total Health Care Employment 84% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 84% [plot | correlate | graph]
...and  Health > Total Registered Nurses 83% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 83% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 82% [plot | correlate | graph]
...and  Education > Public Libraries > Users of Electronic Resources 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Health > Total Retail Rx Drugs 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 81% [plot | correlate | graph]
...and  Health > Total Dual Eligible Medicaid Spending 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage 81% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 81% [plot | correlate | graph]
...and  Government > 2004 Election > Total registered voters 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.

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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

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