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 Series Title: Gasoline and oil: Chain-Type Price Indexes for Personal Consumption Expenditures by Major Type of Product and Expenditure: Chain-Type Price Indexes for PCE by Major Type of Product (From NIPA table 2.3.4) (annual)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page 

 1959 01  8618•576          Link to Series in Level 2 Subscription Site
 1960 01 019•112          Link to Series in Level 1 Subscription Site
 1961 01  2618.924          Link to Series in Level 0 Subscription Site
 1962 01 3119.043
 1963 01  318•997
 1964 01 3418.873
 1965 01  1819•587
 1966 01 7820.038
 1967 01  1720.700
 1968 01 9921•005
 1969 01  4221•696
 1970 01 5521•890
 1971 01  8022.050
 1972 01 7422.336
 1973 01  1124.473
 1974 01 633•059
 1975 01  6535.278
 1976 01 6836.777
 1977 01  6438•907
 1978 01 040•597
 1979 01  7554•406
 1980 01 1175•509
 1981 01  6284•018
 1982 01 3279•768
 1983 01  3377.160
 1984 01 6176•005
 1985 01  9376.619
 1986 01 2060.175
 1987 01  9162•488
 1988 01 9963•017
 1989 01  7268•837
 1990 01 878•385
 1991 01  2477•338
 1992 01 3177.040
 1993 01  3576.257
 1994 01 6776.614
 1995 01  3377.826
 1996 01 8982.596
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 1997 01  3582•579
 1998 01 3671•874
 1999 01  1478.207
 2000 01 98100•000
 2001 01  9696.289
 2002 01 3790•433
 2003 01  36105•213
 2004 01 80123•990
 2005 01  47151.314
 2006 01 39170.343
 2007 01  51184•642

 Series Title: Gasoline and oil: Chain-Type Price Indexes for Personal Consumption Expenditures by Major Type of Product and Expenditure: Chain-Type Price Indexes for PCE by Major Type of Product (From NIPA table 2.3.4) (annual)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state


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