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Correlations > Economy Statistics > GSP > Nominal GSP > Wood product manufacturing

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Correlations between Economy > GSP > Nominal GSP > Wood product manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Wood product manufacturing 100% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 98% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 95% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 93% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 93% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 93% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 90% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 90% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 87% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 57% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 56% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 51% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 50% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 49% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 48% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 47% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 47% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 47% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 46% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 45% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 45% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 45% [plot | correlate | graph]
Average: 58%

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



DEFINITION: Wood 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.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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