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 Series Title: URE: Inventory of housing units in the US (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1965 01  9372.
 1965 02  13341.
 1965 03  94343.
 1965 04  11433·
 1966 01 46452.
 1966 02 85393.
 1966 03 16382·
 1966 04 55473·
 1967 01  0514·
 1967 02  6449.
 1967 03  88414·
 1967 04  47426·
 1968 01 20448·
 1968 02 57466·
 1968 03 25394.
 1968 04 33406.
 1969 01  82498·
 1969 02  44433·
 1969 03  63413·
 1969 04  80434.
 1970 01 86450.
 1970 02 0415.
 1970 03 65418·
 1970 04 83410·
 1971 01  59436.
 1971 02  80401·
 1971 03  21360.
 1971 04  62444.
 1972 01 50466·
 1972 02 68389·
 1972 03 41369.
 1972 04 60450·
 1973 01  34433.
 1973 02  69433.
 1973 03  65433·
 1973 04  46432.
 1974 01 13470.
 1974 02 14499.
 1974 03 54413.
 1974 04 15424.
 1975 01  11514.
 1975 02  62473·
 1975 03  98462.
 1975 04  86432.
 1976 01 79497.
 1976 02 92455.
 1976 03 9465.
 1976 04 3451.
 1977 01  92494.
 1977 02  13410.
 1977 03  25408·
 1977 04  35441·
 1978 01 51494·
 1978 02 55435·
 1978 03 8435·
 1978 04 76502.
 1979 01  81598.
 1979 02  75605·
 1979 03  47591.
 1979 04  46571.
 1980 01 32581.
 1980 02 55579·
 1980 03 54566·
 1980 04 88547.
 1981 01  80656.
 1981 02  1606.
 1981 03  68627·
 1981 04  71569·
 1982 01 25653·
 1982 02 45593.
 1982 03 51569·
 1982 04 91538.
 1983 01  93704·
 1983 02  45646.
 1983 03  91583·
 1983 04  65634·
 1984 01 34672.
 1984 02 80628.
 1984 03 2552·
 1984 04 38636.
 1985 01  23669·
 1985 02  58570·
 1985 03  20681.
 1985 04  80714·
 1986 01 61805·
 1986 02 12712.
 1986 03 9693.
 1986 04 84754.
 1987 01  73848·
 1987 02  96712.
 1987 03  57783·
 1987 04  69803.
 1988 01 9962.
 1988 02 93873.
 1988 03 76792.
 1988 04 80921.
 1989 01  461068.
 1989 02  101026.
 1989 03  5955·
 1989 04  861037.
 1990 01 831134.
 1990 02 78971·
 1990 03 61007·
 1990 04 801175.
 1991 01  461277.
 1991 02  541004·
 1991 03  681007.
 1991 04  831048.
 1992 01 841146·
 1992 02 20996·
 1992 03 2900.
 1992 04 381000.
 1993 01  741045·
 1993 02  81972.
 1993 03  48957.
 1993 04  141004.
 1994 01 17953.
 1994 02 70627.
 1994 03 68866·
 1994 04 6813.
 1995 01  36869·
 1995 02  44837·
 1995 03  49710.
 1995 04  32786.
 1996 01 83853·
 1996 02 84883.
 1996 03 6796·
 1996 04 37877.
 1997 01  33906·
 1997 02  96960.
 1997 03  75880.
 1997 04  90793·
 1998 01 87919.
 1998 02 13921·
 1998 03 19880·
 1998 04 84920·
 1999 01  69933·
 1999 02  911024.
 1999 03  27996.
 1999 04  40908·
 2000 01 31985.
 2000 02 111170·
 2000 03 11989.
 2000 04 21005·
 2001 01  471163.
 2001 02  811072·
 2001 03  10965.
 2001 04  381058.
 2002 01 181073·
 2002 02 31954.
 2002 03 85968.
 2002 04 42985.
 2003 01  701145·
 2003 02  19930.
 2003 03  26950·
 2003 04  34951.
 2004 01 521028.
 2004 02 261066·
 2004 03 441026.
 2004 04 581152·
 2005 01  411247·
 2005 02  591112·
 2005 03  781020·
 2005 04  831133.
 2006 01 361328.
 2006 02 501204·
 2006 03 911121·
 2006 04 31137.
 2007 01  631252·
 2007 02  541109.
 2007 03  701086.
 2007 04  371110·
 2008 01 731205·
 2008 02 551169.
 2008 03 281063·
 2008 04 301245·
 2009 01  401289.
 2009 02  571170.
 2009 03  41134·
 2009 04  511170·
 2010 01 651292·
 2010 02 941233.
 2010 03 611248.
 2010 04 931257·
 2011 01  741291·
 2011 02  211159·
 2011 03  85991·
 2011 04  761329·
 2012 01 171381.
 2012 02 211271.
 2012 03 901111·
 2012 04 441287.
 2013 01  691329.
 2013 02  01255·
 2013 03  141200.
 2013 04  661215·


 2014 01 311363.
 2014 02 891300.
 2014 03 201389.
 2014 04 361363.
 2015 01  281433·
 2015 02  451279·
 2015 03  961266.
 2015 04  741415·
 2016 01 101568·
 2016 02 501423.
 2016 03 541317·
 2016 04 231472·
 2017 01  541426·
 2017 02  111388·
 2017 03  321226·
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 Series Title: URE: Inventory of housing units in the US (Thousands)
   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

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

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