FACTOID # 21: 15% of Army recruits from South Dakota are Native American, which is roughly the same percentage for female Army recruits in the state.
 
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Industry > Machinery manufacturing > Total cost of materials (vs) Industry > Machinery manufacturing > Value added

VIEW DATA:   Comparison scatterplot  
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13.64 billion
Industry > Machinery manufacturing > Value added
12.82 million
2.88 million Industry > Machinery manufacturing > Total cost of materials ($) 12.78 billion

Move your mouse over the circles to view country names, and then click to view their profiles.
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): 0.955 (this correlation is very strong)

X Axis Y Axis
Variable: Industry > Machinery manufacturing > Total cost of materials Industry > Machinery manufacturing > Value added
Plot Display: Linear Linear
Definition: This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year.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: Annual Survey of Manufactures, 2004 Annual Survey of Manufactures, 2004
Correlations:
      More correlations »     More correlations »
 

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