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 Series Title: Wisconsin: House Price Index: All-Transactions Indexes (Estimated using Sales Prices and Appraisal Data): 1980Q1=100
   For this series:   Numerical Data  |  Source  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to end of data set
 1975 01  6161.74
 1975 02  962.87
 1975 03  964·24
 1975 04  5669·04
 1976 01 7265·71
 1976 02 7765.52
 1976 03 9967·61
 1976 04 9068.66
 1977 01  8672·85
 1977 02  8175·85
 1977 03  2678·12
 1977 04  6080.66
 1978 01 5584·26
 1978 02 387.82
 1978 03 690.66
 1978 04 1092.30
 1979 01  5496.41
 1979 02  4999·83
 1979 03  7499.22
 1979 04  999.36
 1980 01 83100·00
 1980 02 50100·82
 1980 03 94105.24
 1980 04 52101.40
 1981 01  67102.71
 1981 02  64102.71
 1981 03  55103·16
 1981 04  5891·69
 1982 01 5786.92
 1982 02 7396·35
 1982 03 6898.74
 1982 04 7099·98
 1983 01  28103·66
 1983 02  82106·16
 1983 03  72105·79
 1983 04  59105.81
 1984 01 80106.07
 1984 02 24107.89
 1984 03 29107.91
 1984 04 18106.32
 1985 01  40107·91
 1985 02  54109.68
 1985 03  28110·61
 1985 04  66110.76
 1986 01 57112.30
 1986 02 56113·54
 1986 03 82113·93
 1986 04 47114·35
 1987 01  7115·26
 1987 02  35116.56
 1987 03  28118.05
 1987 04  31119·40
 1988 01 89120.23
 1988 02 22122.16
 1988 03 29124·38
 1988 04 12125·03
 1989 01  31127·31
 1989 02  76128·76
 1989 03  73131.02
 1989 04  9131.71
 1990 01 81133·80
 1990 02 77135.89
 1990 03 73137.68
 1990 04 65138.07
 1991 01  15140·02
 1991 02  31141·98
 1991 03  67144·11
 1991 04  51145·52
 1992 01 35147.22
 1992 02 72149·84
 1992 03 18151.66
 1992 04 60153·64
 1993 01  64154.85
 1993 02  54157.05
 1993 03  14159.30
 1993 04  12161.38
 1994 01 54165.67
 1994 02 61171·75
 1994 03 67175.49
 1994 04 50175·66
 1995 01  80177·95
 1995 02  97181.84
 1995 03  15184·31
 1995 04  43186·59
 1996 01 42188.06
 1996 02 96189.87
 1996 03 22192·07
 1996 04 87194.29
 1997 01  65196.44
 1997 02  14198.15
 1997 03  75200.84
 1997 04  99202.87
 1998 01 1204·16
 1998 02 32206.54
 1998 03 87208.93
 1998 04 25209.70
 1999 01  24213·44
 1999 02  58216.85
 1999 03  96219.74
 1999 04  33221·04
 2000 01 35227·73
 2000 02 22228·99
 2000 03 65232·37
 2000 04 17235.18
 2001 01  59238·74
 2001 02  81241.98
 2001 03  82245·18
 2001 04  97247.05
 2002 01 47251.13
 2002 02 17254·57
 2002 03 60257.27
 2002 04 16259·12
 2003 01  73261·80
 2003 02  37264·14
 2003 03  36268·10
 2003 04  45276·85
 2004 01 40278.99
 2004 02 73284.66
 2004 03 73295.24
 2004 04 76298.62
 2005 01  70304.10
 2005 02  80309.64
 2005 03  60315.56
 2005 04  29318.63
 2006 01 17320·98
 2006 02 40320.74
 2006 03 9322.22
 2006 04 49326.20
 2007 01  53327·47
 2007 02  61326·93
 2007 03  58325·28
 2007 04  4326.99
 2008 01 81327·88
 2008 02 74323.08
 2008 03 71317·43
 2008 04 88318·07
 2009 01  25319.63
 2009 02  35314.75
 2009 03  34307·70
 2009 04  21306·91
 2010 01 35302·90
 2010 02 26301.37
 2010 03 61304·51
 2010 04 47302.53
 2011 01  88295.85
 2011 02  54291.19
 2011 03  89293·87
 2011 04  35294.96
 2012 01 83292·22
 2012 02 51290.06
 2012 03 83292.62
 2012 04 79292·73
 2013 01  46291.86
 2013 02  72291·88


 2013 03  28292·37
 2013 04  99291.66
 2014 01 28290.87
 2014 02 0295.62
 2014 03 39298·55
 2014 04 37300·19
 2015 01  3301·74
 2015 02  41305.60
 2015 03  54308·74
 2015 04  64310·74
 2016 01 72313·30
 2016 02 28318·12
 2016 03 34322.20
 2016 04 74324.34
 2017 01  61327·61
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House Price Indexes

  • Purchase Only Indexes - Estimated using Sales Price Data
  • All-Transactions Indexes - Estimated using Sales Prices and Appraisal Data

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    Purchase Only Indexes - Estimated using Sales Price Data: US, Regional, and State

    All-Transactions Indexes - Estimated using Sales Prices and Appraisal Data: US, Regional, and State

  •  Series Title: Wisconsin: House Price Index: All-Transactions Indexes (Estimated using Sales Prices and Appraisal Data): 1980Q1=100
       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

    Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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