FACTOID # 1: Puerto Rico has roughly the same gross state product as Montana, Wyoming and North Dakota combined.
 
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Correlations > Economy Statistics > GSP > Nominal GSP > Paper manufacturing

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

Correlations between Economy > GSP > Nominal GSP > Paper manufacturing ...

Variable Strength
...and  Economy > GSP > Real GSP > Paper manufacturing 100% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 95% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 92% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 80% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 79% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 78% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 62% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 62% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 59% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 59% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 57% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 53% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 48% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 47% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 47% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 46% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 46% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 46% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 45% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 45% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 44% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 44% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 44% [plot | correlate | graph]
Average: 56%

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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