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StateMaster - Correlations > Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing
 

Correlations > Economy Statistics > GSP > Nominal GSP > Nonmetallic mineral product manufacturing

DEFINITION: Nonmetallic mineral product manufacturing, Nominal GSP (current dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year.

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Correlations between Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 100% [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 95% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 95% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 94% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 94% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 93% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 89% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 87% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 87% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 87% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 86% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 85% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 85% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 85% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students 85% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 85% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 84% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program 84% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Seventh Grade Students 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eighth Grade Students 83% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fifth Grade Students 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Tenth Grade Students 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 83% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Sixth Grade Students 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fourth Grade Students 83% [plot | correlate | graph]
...and  Health > Total Hospitals 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 83% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Kindergarten Students 83% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Number of Schools 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > First Grade Students 82% [plot | correlate | graph]
...and  Health > Total Retail Rx Drugs 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Second Grade Students 82% [plot | correlate | graph]
...and  Health > Total Health Care Employment 81% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ninth Grade Students 81% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 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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