FACTOID # 23: Wisconsin has more metal fabricators per capita than any other state.
 
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Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (vs) Labor > Petroleum & coal products manufacturing > Production workers (average per year)

VIEW DATA:   Comparison scatterplot  
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    Flags   Circles (same size)   Circles (by population)   Circles (by GDP)   Circles (by land area)  
7,248
Labor > Petroleum & coal products manufacturing > Production workers (average per year)
102
17 million Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing ($) 846 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): 0.841 (this correlation is strong)
Outliers: Texas

X Axis Y Axis
Variable: Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing Labor > Petroleum & coal products manufacturing > Production workers (average per year)
Plot Display: Logarithmic (base 10) Linear
Definition: Petroleum and coal 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 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.
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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