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Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing (vs) Industry > Petroleum & coal products manufacturing > Value added

VIEW DATA:   Comparison scatterplot  
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16.17 billion
Industry > Petroleum & coal products manufacturing > Value added
0
4 Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing 135

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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): 0.203 (this correlation is weak)

X Axis Y Axis
Variable: Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing Industry > Petroleum & coal products manufacturing > Value added
Plot Display: Linear Linear
Definition: Apparel manufacturing, Chain-type Quantity Indexes (2000 = 100) A quantity index is an index number that measures the change in the level of a quantity from a base year, apart from anychanges in relative prices. The value of the quantity index is 100 for the base year.The Bureau of Economic Analysis uses chain-type annual-weighted indexes, also known as Fisher indexes, as its measure of realoutput and prices. These measures allow for the effects of changes in relative prices and in the composition of output overtime, thereby eliminating a major source of bias inherent in fixed-weight indexes. 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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