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Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (vs) Industry > Plastics & rubber products manufacturing > Value added

VIEW DATA:   Comparison scatterplot  
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7.8 billion
Industry > Plastics & rubber products manufacturing > Value added
7.35 million
6 million Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing ($) 539 million

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Note: It will take several minutes to draw this plot the first time you view it. After that all plots should appear much more quickly.
Strength of correlation (R squared): 0.949 (this correlation is very strong)

X Axis Y Axis
Variable: Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing Industry > Plastics & rubber products manufacturing > Value added
Plot Display: Logarithmic (base 10) Linear
Definition: Plastics and rubber products 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. This measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process between the beginning- and end-of-year inventories.
Source: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003. Annual Survey of Manufactures, 2004
Correlations:
      More correlations »     More correlations »
 

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