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GSP chain-type quantity indexes by state. Definition, graph and map.
 

Economy Statistics > GSP > Chain-type Quantity Indexes > Crop and animal production (Farms) (most recent) by state


Showing latest available data.
Rank   States  Amount 
# 1   Nebraska: 190.32  
# 2   Indiana: 146.51  
# 3   North Dakota: 144.6  
# 4   Illinois: 138.43  
# 5   Montana: 125.35  
# 6   Missouri: 125.26  
# 7   Oklahoma: 124.28  
# 8   Iowa: 124.22  
# 9   Minnesota: 123.67  
# 10   Mississippi: 117.53  
# 11   Louisiana: 115.54  
# 12   Wyoming: 115.43  
# 13   Kansas: 115.07  
# 14   Colorado: 113.15  
# 15   Wisconsin: 111.85  
# 16   Texas: 108.85  
# 17   Arkansas: 108.63  
# 18   Georgia: 106.47  
# 19   Utah: 105.75  
# 20   New Mexico: 104.12  
# 21   Arizona: 103.74  
# 22   Michigan: 103.04  
# 23   Idaho: 101.37  
# 24   Ohio: 100.82  
# 25   Alabama: 99.9  
# 26   South Dakota: 99.09  
# 27   South Carolina: 97.72  
# 28   Hawaii: 93.31  
# 29   California: 93.06  
# 30   Tennessee: 92.97  
# 31   New York: 91.22  
# 32   Delaware: 89.23  
# 33   Oregon: 88.82  
# 34   Pennsylvania: 85.96  
# 35   Washington: 85.71  
# 36   Nevada: 85.42  
# 37   Rhode Island: 83.96  
# 38   Maryland: 83.37  
# 39   New Hampshire: 81.94  
# 40   Virginia: 80.94  
# 41   Massachusetts: 78.33  
# 42   Vermont: 76.28  
# 43   Alaska: 76.16  
# 44   New Jersey: 76.02  
# 45   Florida: 74.17  
# 46   West Virginia: 73.22  
# 47   Connecticut: 73.18  
# 48   Maine: 71.41  
# 49   Kentucky: 70.04  
# 50   North Carolina: 58.38  
# 51   District of Columbia: 0  
Weighted average: 98.7   



DEFINITION: Crop and animal production (Farms), 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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