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GSP chain-type quantity indexes (most recent) by state
 

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


Showing latest available data.
Rank   States  Amount 
# 1   Delaware: 148.08  
# 2   Arizona: 120.72  
# 3   South Carolina: 117.26  
# 4   Virginia: 114.94  
# 5   Connecticut: 113.35  
# 6   Mississippi: 113.06  
# 7   Alabama: 112.6  
# 8   Ohio: 110.06  
# 9   Nebraska: 107.75  
# 10   New York: 106.51  
# 11   Alaska: 105.16  
# 12   Oregon: 104.16  
# 13   Kansas: 103.53  
# 14   North Carolina: 103.23  
# 15   California: 101.99  
# 16   New Hampshire: 100.73  
= 17   Indiana: 100.62  
= 17   Utah: 100.62  
# 19   Wisconsin: 99.95  
# 20   Iowa: 99.93  
# 21   Arkansas: 99.9  
# 22   Texas: 99.36  
# 23   District of Columbia: 99.34  
# 24   Michigan: 99.01  
# 25   Hawaii: 98.87  
# 26   Tennessee: 98.72  
# 27   Nevada: 98.09  
# 28   Washington: 98  
# 29   Pennsylvania: 97.65  
# 30   North Dakota: 97.05  
# 31   South Dakota: 95.24  
# 32   Missouri: 95.12  
# 33   Maryland: 94.22  
# 34   Illinois: 93.67  
# 35   Florida: 93.43  
# 36   Colorado: 92.44  
# 37   Massachusetts: 92.41  
= 38   Kentucky: 91.83  
= 38   Oklahoma: 91.83  
# 40   Minnesota: 91.2  
# 41   Georgia: 90.5  
# 42   Maine: 88.67  
# 43   New Mexico: 84.97  
# 44   Montana: 84.44  
# 45   Idaho: 84.27  
# 46   Rhode Island: 84.06  
# 47   West Virginia: 83.5  
# 48   New Jersey: 82.9  
# 49   Louisiana: 78.17  
# 50   Wyoming: 71.73  
# 51   Vermont: 70.63  
Weighted average: 98.1   



DEFINITION: Food 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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