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Economy > GSP > Chain-type Quantity Indexes > Performing arts, museums, and related activities (vs) Labor > Leather & allied product manufacturing > Number of employees (per capita)

VIEW DATA:   Comparison scatterplot  
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15
Labor > Leather & allied product manufacturing > Number of employees (per capita)
(per 10,000 people)
0
99 Economy > GSP > Chain-type Quantity Indexes > Performing arts, museums, and related activities 123

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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): 0.206 (this correlation is weak)

X Axis Y Axis
Variable: Economy > GSP > Chain-type Quantity Indexes > Performing arts, museums, and related activities Labor > Leather & allied product manufacturing > Number of employees (per capita)
Plot Display: Linear Linear
Definition: Performing arts, museums, and related activities, 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 item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses. Per capita figures expressed per 10,000 population.
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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