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Economy Statistics > GSP > Chain-type Quantity Indexes > Wood product manufacturing (most recent) by state

VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.
Rank   States  Amount 
# 1   District of Columbia: 2,483.26  
# 2   Oklahoma: 147.79  
# 3   Connecticut: 142.5  
# 4   North Dakota: 139.49  
# 5   Nevada: 130.26  
# 6   Iowa: 130.09  
# 7   Florida: 121.82  
# 8   Utah: 121.72  
# 9   Kansas: 117.12  
# 10   West Virginia: 113.79  
# 11   Arizona: 112.25  
# 12   Pennsylvania: 110.91  
# 13   Missouri: 110.89  
# 14   Rhode Island: 110.19  
# 15   Illinois: 103.05  
# 16   Virginia: 101.53  
# 17   Minnesota: 99.54  
# 18   Washington: 99.37  
# 19   Massachusetts: 98.96  
# 20   North Carolina: 98.42  
# 21   New Jersey: 98.23  
# 22   Vermont: 97.21  
# 23   Wisconsin: 96.46  
# 24   Oregon: 95.77  
# 25   California: 93.43  
# 26   Wyoming: 93.4  
# 27   Alabama: 93.3  
# 28   New York: 93.07  
# 29   New Mexico: 93.03  
# 30   Kentucky: 92.56  
# 31   South Carolina: 91.15  
# 32   Colorado: 90.47  
# 33   Montana: 90.29  
# 34   Indiana: 90.28  
# 35   Tennessee: 88.78  
# 36   Hawaii: 88.19  
# 37   South Dakota: 88.11  
# 38   Mississippi: 87.41  
# 39   Ohio: 86.72  
# 40   Michigan: 86.42  
# 41   Maryland: 85.63  
# 42   Louisiana: 85.2  
# 43   Arkansas: 85.15  
# 44   Texas: 80.78  
# 45   Nebraska: 79.82  
# 46   Georgia: 79.71  
# 47   Idaho: 77.55  
# 48   Maine: 71.72  
# 49   New Hampshire: 64.05  
# 50   Delaware: 62.28  
# 51   Alaska: 61.63  
Weighted average: 144.3   



DEFINITION: Wood product 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.

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