Access the world's leading financial data and tools
Subscribe for $2 United States Total Housing Inventory
Price
The current value of the Total Housing Inventory in United States is 1.36 M . The Total Housing Inventory in United States decreased to 1.36 M on 9/1/2024, after it was 1.37 M on 8/1/2024. From 6/1/1982 to 10/1/2024, the average GDP in United States was 2.25 M . The all-time high was reached on 7/1/2007 with 4.04 M , while the lowest value was recorded on 1/1/2022 with 860,000 .
Total Housing Inventory ·
3 years
5 years
10 years
25 Years
Max
Total Housing stock | |
---|---|
6/1/1982 | 1.95 M |
7/1/1982 | 1.93 M |
8/1/1982 | 2.12 M |
9/1/1982 | 2.19 M |
10/1/1982 | 2.29 M |
11/1/1982 | 2.2 M |
12/1/1982 | 1.91 M |
1/1/1983 | 2.3 M |
2/1/1983 | 2.48 M |
3/1/1983 | 2.45 M |
4/1/1983 | 2.35 M |
5/1/1983 | 2.42 M |
6/1/1983 | 2.42 M |
7/1/1983 | 2.3 M |
8/1/1983 | 2.45 M |
9/1/1983 | 2.44 M |
10/1/1983 | 2.49 M |
11/1/1983 | 2.31 M |
12/1/1983 | 1.96 M |
1/1/1984 | 2.2 M |
2/1/1984 | 2.44 M |
3/1/1984 | 2.75 M |
4/1/1984 | 2.71 M |
5/1/1984 | 2.71 M |
6/1/1984 | 2.66 M |
7/1/1984 | 2.64 M |
8/1/1984 | 2.5 M |
9/1/1984 | 2.52 M |
10/1/1984 | 2.55 M |
11/1/1984 | 2.42 M |
12/1/1984 | 2.26 M |
1/1/1985 | 2.51 M |
2/1/1985 | 2.52 M |
3/1/1985 | 2.8 M |
4/1/1985 | 2.78 M |
5/1/1985 | 2.72 M |
6/1/1985 | 2.91 M |
7/1/1985 | 2.77 M |
8/1/1985 | 2.7 M |
9/1/1985 | 2.58 M |
10/1/1985 | 2.57 M |
11/1/1985 | 2.51 M |
12/1/1985 | 2.2 M |
1/1/1986 | 2.65 M |
2/1/1986 | 2.74 M |
3/1/1986 | 2.8 M |
4/1/1986 | 3.04 M |
5/1/1986 | 2.86 M |
6/1/1986 | 2.69 M |
7/1/1986 | 2.53 M |
8/1/1986 | 2.67 M |
9/1/1986 | 2.45 M |
10/1/1986 | 2.47 M |
11/1/1986 | 2.57 M |
12/1/1986 | 1.97 M |
1/1/1987 | 2.38 M |
2/1/1987 | 2.57 M |
3/1/1987 | 2.62 M |
4/1/1987 | 2.62 M |
5/1/1987 | 2.52 M |
6/1/1987 | 2.39 M |
7/1/1987 | 2.33 M |
8/1/1987 | 2.4 M |
9/1/1987 | 2.37 M |
10/1/1987 | 2.57 M |
11/1/1987 | 2.49 M |
12/1/1987 | 2.16 M |
1/1/1988 | 2.33 M |
2/1/1988 | 2.64 M |
3/1/1988 | 2.69 M |
4/1/1988 | 2.78 M |
5/1/1988 | 2.85 M |
6/1/1988 | 2.68 M |
7/1/1988 | 2.52 M |
8/1/1988 | 2.54 M |
9/1/1988 | 2.43 M |
10/1/1988 | 2.4 M |
11/1/1988 | 2.6 M |
12/1/1988 | 2.16 M |
1/1/1989 | 2.36 M |
2/1/1989 | 2.48 M |
3/1/1989 | 2.43 M |
4/1/1989 | 2.51 M |
5/1/1989 | 2.55 M |
6/1/1989 | 2.32 M |
7/1/1989 | 2.3 M |
8/1/1989 | 2.32 M |
9/1/1989 | 2.29 M |
10/1/1989 | 2.29 M |
11/1/1989 | 2.21 M |
12/1/1989 | 1.87 M |
1/1/1990 | 2.22 M |
2/1/1990 | 2.18 M |
3/1/1990 | 2.3 M |
4/1/1990 | 2.43 M |
5/1/1990 | 2.55 M |
6/1/1990 | 2.5 M |
7/1/1990 | 2.48 M |
8/1/1990 | 2.58 M |
9/1/1990 | 2.55 M |
10/1/1990 | 2.46 M |
11/1/1990 | 2.31 M |
12/1/1990 | 2.13 M |
1/1/1991 | 2.21 M |
2/1/1991 | 2.25 M |
3/1/1991 | 2.3 M |
4/1/1991 | 2.4 M |
5/1/1991 | 2.47 M |
6/1/1991 | 2.4 M |
7/1/1991 | 2.49 M |
8/1/1991 | 2.49 M |
9/1/1991 | 2.51 M |
10/1/1991 | 2.39 M |
11/1/1991 | 2.34 M |
12/1/1991 | 2.2 M |
1/1/1992 | 2.38 M |
2/1/1992 | 2.42 M |
3/1/1992 | 2.4 M |
4/1/1992 | 2.43 M |
5/1/1992 | 2.47 M |
6/1/1992 | 2.47 M |
7/1/1992 | 2.38 M |
8/1/1992 | 2.37 M |
9/1/1992 | 2.31 M |
10/1/1992 | 2.39 M |
11/1/1992 | 2.21 M |
12/1/1992 | 1.96 M |
1/1/1993 | 2.01 M |
2/1/1993 | 2.09 M |
3/1/1993 | 2.08 M |
4/1/1993 | 2.14 M |
5/1/1993 | 2.16 M |
6/1/1993 | 2.02 M |
7/1/1993 | 2.06 M |
8/1/1993 | 2.1 M |
9/1/1993 | 1.96 M |
10/1/1993 | 1.97 M |
11/1/1993 | 1.89 M |
12/1/1993 | 1.67 M |
1/1/1994 | 1.68 M |
2/1/1994 | 1.71 M |
3/1/1994 | 1.77 M |
4/1/1994 | 1.88 M |
5/1/1994 | 1.88 M |
6/1/1994 | 1.77 M |
7/1/1994 | 1.84 M |
8/1/1994 | 1.91 M |
9/1/1994 | 1.71 M |
10/1/1994 | 1.75 M |
11/1/1994 | 1.66 M |
12/1/1994 | 1.51 M |
1/1/1995 | 1.64 M |
2/1/1995 | 1.7 M |
3/1/1995 | 1.75 M |
4/1/1995 | 1.85 M |
5/1/1995 | 1.84 M |
6/1/1995 | 1.81 M |
7/1/1995 | 1.89 M |
8/1/1995 | 1.96 M |
9/1/1995 | 1.9 M |
10/1/1995 | 1.92 M |
11/1/1995 | 1.91 M |
12/1/1995 | 1.73 M |
1/1/1996 | 1.88 M |
2/1/1996 | 1.99 M |
3/1/1996 | 2.1 M |
4/1/1996 | 2.08 M |
5/1/1996 | 2.16 M |
6/1/1996 | 2.08 M |
7/1/1996 | 2.16 M |
8/1/1996 | 2.3 M |
9/1/1996 | 2.19 M |
10/1/1996 | 2.2 M |
11/1/1996 | 2.2 M |
12/1/1996 | 1.91 M |
1/1/1997 | 2.06 M |
2/1/1997 | 2.14 M |
3/1/1997 | 2.13 M |
4/1/1997 | 2.34 M |
5/1/1997 | 2.4 M |
6/1/1997 | 2.19 M |
7/1/1997 | 2.46 M |
8/1/1997 | 2.24 M |
9/1/1997 | 2.25 M |
10/1/1997 | 2.3 M |
11/1/1997 | 2.08 M |
12/1/1997 | 1.86 M |
1/1/1998 | 2.44 M |
2/1/1998 | 2.39 M |
3/1/1998 | 2.36 M |
4/1/1998 | 2.3 M |
5/1/1998 | 2.33 M |
6/1/1998 | 2.36 M |
7/1/1998 | 2.33 M |
8/1/1998 | 2.27 M |
9/1/1998 | 2.2 M |
10/1/1998 | 2.21 M |
11/1/1998 | 2.18 M |
12/1/1998 | 1.91 M |
1/1/1999 | 2.21 M |
2/1/1999 | 2.14 M |
3/1/1999 | 2.13 M |
4/1/1999 | 2.18 M |
5/1/1999 | 2.18 M |
6/1/1999 | 2.14 M |
7/1/1999 | 2.03 M |
8/1/1999 | 2.07 M |
9/1/1999 | 1.99 M |
10/1/1999 | 2.06 M |
11/1/1999 | 1.91 M |
12/1/1999 | 1.71 M |
1/1/2000 | 1.85 M |
2/1/2000 | 2.01 M |
3/1/2000 | 1.79 M |
4/1/2000 | 2.01 M |
5/1/2000 | 1.94 M |
6/1/2000 | 2.03 M |
7/1/2000 | 1.96 M |
8/1/2000 | 2.02 M |
9/1/2000 | 1.96 M |
10/1/2000 | 1.95 M |
11/1/2000 | 1.89 M |
12/1/2000 | 1.87 M |
1/1/2001 | 1.78 M |
2/1/2001 | 1.96 M |
3/1/2001 | 2 M |
4/1/2001 | 2.12 M |
5/1/2001 | 2.02 M |
6/1/2001 | 2.11 M |
7/1/2001 | 2 M |
8/1/2001 | 2.22 M |
9/1/2001 | 2.18 M |
10/1/2001 | 2.01 M |
11/1/2001 | 2.18 M |
12/1/2001 | 1.89 M |
1/1/2002 | 2.08 M |
2/1/2002 | 2.25 M |
3/1/2002 | 2.17 M |
4/1/2002 | 2.32 M |
5/1/2002 | 2.19 M |
6/1/2002 | 2.23 M |
7/1/2002 | 2.08 M |
8/1/2002 | 2.24 M |
9/1/2002 | 2.23 M |
10/1/2002 | 2.3 M |
11/1/2002 | 2.36 M |
12/1/2002 | 2.14 M |
1/1/2003 | 2.29 M |
2/1/2003 | 2.38 M |
3/1/2003 | 2.3 M |
4/1/2003 | 2.49 M |
5/1/2003 | 2.37 M |
6/1/2003 | 2.46 M |
7/1/2003 | 2.37 M |
8/1/2003 | 2.47 M |
9/1/2003 | 2.34 M |
10/1/2003 | 2.41 M |
11/1/2003 | 2.51 M |
12/1/2003 | 2.27 M |
1/1/2004 | 2.24 M |
2/1/2004 | 2.39 M |
3/1/2004 | 2.45 M |
4/1/2004 | 2.39 M |
5/1/2004 | 2.42 M |
6/1/2004 | 2.35 M |
7/1/2004 | 2.44 M |
8/1/2004 | 2.5 M |
9/1/2004 | 2.35 M |
10/1/2004 | 2.47 M |
11/1/2004 | 2.53 M |
12/1/2004 | 2.24 M |
1/1/2005 | 2.15 M |
2/1/2005 | 2.33 M |
3/1/2005 | 2.3 M |
4/1/2005 | 2.47 M |
5/1/2005 | 2.56 M |
6/1/2005 | 2.68 M |
7/1/2005 | 2.76 M |
8/1/2005 | 2.84 M |
9/1/2005 | 2.77 M |
10/1/2005 | 2.87 M |
11/1/2005 | 2.92 M |
12/1/2005 | 2.85 M |
1/1/2006 | 2.88 M |
2/1/2006 | 2.99 M |
3/1/2006 | 3.2 M |
4/1/2006 | 3.42 M |
5/1/2006 | 3.59 M |
6/1/2006 | 3.74 M |
7/1/2006 | 3.86 M |
8/1/2006 | 3.84 M |
9/1/2006 | 3.78 M |
10/1/2006 | 3.86 M |
11/1/2006 | 3.81 M |
12/1/2006 | 3.45 M |
1/1/2007 | 3.15 M |
2/1/2007 | 3.38 M |
3/1/2007 | 3.38 M |
4/1/2007 | 3.75 M |
5/1/2007 | 3.91 M |
6/1/2007 | 3.87 M |
7/1/2007 | 4.04 M |
8/1/2007 | 3.89 M |
9/1/2007 | 3.89 M |
10/1/2007 | 3.91 M |
11/1/2007 | 3.7 M |
12/1/2007 | 3.52 M |
1/1/2008 | 3.49 M |
2/1/2008 | 3.38 M |
3/1/2008 | 3.41 M |
4/1/2008 | 3.81 M |
5/1/2008 | 3.73 M |
6/1/2008 | 3.77 M |
7/1/2008 | 3.82 M |
8/1/2008 | 3.61 M |
9/1/2008 | 3.61 M |
10/1/2008 | 3.56 M |
11/1/2008 | 3.47 M |
12/1/2008 | 3.13 M |
1/1/2009 | 3.03 M |
2/1/2009 | 3.2 M |
3/1/2009 | 3.09 M |
4/1/2009 | 3.33 M |
5/1/2009 | 3.22 M |
6/1/2009 | 3.22 M |
7/1/2009 | 3.38 M |
8/1/2009 | 3.3 M |
9/1/2009 | 3.12 M |
10/1/2009 | 2.97 M |
11/1/2009 | 2.95 M |
12/1/2009 | 2.74 M |
1/1/2010 | 2.75 M |
2/1/2010 | 3 M |
3/1/2010 | 3.09 M |
4/1/2010 | 3.42 M |
5/1/2010 | 3.31 M |
6/1/2010 | 3.31 M |
7/1/2010 | 3.41 M |
8/1/2010 | 3.52 M |
9/1/2010 | 3.41 M |
10/1/2010 | 3.29 M |
11/1/2010 | 3.15 M |
12/1/2010 | 3.02 M |
1/1/2011 | 2.91 M |
2/1/2011 | 3.01 M |
3/1/2011 | 3.03 M |
4/1/2011 | 3.2 M |
5/1/2011 | 3.13 M |
6/1/2011 | 3.16 M |
7/1/2011 | 3.15 M |
8/1/2011 | 3.02 M |
9/1/2011 | 2.9 M |
10/1/2011 | 2.74 M |
11/1/2011 | 2.62 M |
12/1/2011 | 2.32 M |
1/1/2012 | 2.33 M |
2/1/2012 | 2.4 M |
3/1/2012 | 2.32 M |
4/1/2012 | 2.5 M |
5/1/2012 | 2.47 M |
6/1/2012 | 2.37 M |
7/1/2012 | 2.4 M |
8/1/2012 | 2.4 M |
9/1/2012 | 2.17 M |
10/1/2012 | 2.11 M |
11/1/2012 | 1.99 M |
12/1/2012 | 1.83 M |
1/1/2013 | 1.77 M |
2/1/2013 | 1.9 M |
3/1/2013 | 1.93 M |
4/1/2013 | 2.15 M |
5/1/2013 | 2.15 M |
6/1/2013 | 2.16 M |
7/1/2013 | 2.24 M |
8/1/2013 | 2.21 M |
9/1/2013 | 2.17 M |
10/1/2013 | 2.11 M |
11/1/2013 | 2.05 M |
12/1/2013 | 1.86 M |
1/1/2014 | 1.88 M |
2/1/2014 | 1.9 M |
3/1/2014 | 1.96 M |
4/1/2014 | 2.23 M |
5/1/2014 | 2.25 M |
6/1/2014 | 2.29 M |
7/1/2014 | 2.35 M |
8/1/2014 | 2.33 M |
9/1/2014 | 2.28 M |
10/1/2014 | 2.24 M |
11/1/2014 | 2.08 M |
12/1/2014 | 1.86 M |
1/1/2015 | 1.86 M |
2/1/2015 | 1.9 M |
3/1/2015 | 2.01 M |
4/1/2015 | 2.22 M |
5/1/2015 | 2.28 M |
6/1/2015 | 2.25 M |
7/1/2015 | 2.26 M |
8/1/2015 | 2.27 M |
9/1/2015 | 2.19 M |
10/1/2015 | 2.11 M |
11/1/2015 | 2.04 M |
12/1/2015 | 1.76 M |
1/1/2016 | 1.82 M |
2/1/2016 | 1.87 M |
3/1/2016 | 1.96 M |
4/1/2016 | 2.12 M |
5/1/2016 | 2.14 M |
6/1/2016 | 2.11 M |
7/1/2016 | 2.11 M |
8/1/2016 | 2.01 M |
9/1/2016 | 2.03 M |
10/1/2016 | 2.01 M |
11/1/2016 | 1.85 M |
12/1/2016 | 1.65 M |
1/1/2017 | 1.68 M |
2/1/2017 | 1.73 M |
3/1/2017 | 1.8 M |
4/1/2017 | 1.92 M |
5/1/2017 | 1.97 M |
6/1/2017 | 1.94 M |
7/1/2017 | 1.92 M |
8/1/2017 | 1.87 M |
9/1/2017 | 1.86 M |
10/1/2017 | 1.8 M |
11/1/2017 | 1.67 M |
12/1/2017 | 1.46 M |
1/1/2018 | 1.52 M |
2/1/2018 | 1.58 M |
3/1/2018 | 1.64 M |
4/1/2018 | 1.8 M |
5/1/2018 | 1.87 M |
6/1/2018 | 1.93 M |
7/1/2018 | 1.92 M |
8/1/2018 | 1.91 M |
9/1/2018 | 1.88 M |
10/1/2018 | 1.85 M |
11/1/2018 | 1.74 M |
12/1/2018 | 1.53 M |
1/1/2019 | 1.59 M |
2/1/2019 | 1.63 M |
3/1/2019 | 1.67 M |
4/1/2019 | 1.83 M |
5/1/2019 | 1.91 M |
6/1/2019 | 1.92 M |
7/1/2019 | 1.9 M |
8/1/2019 | 1.83 M |
9/1/2019 | 1.82 M |
10/1/2019 | 1.77 M |
11/1/2019 | 1.64 M |
12/1/2019 | 1.39 M |
1/1/2020 | 1.4 M |
2/1/2020 | 1.46 M |
3/1/2020 | 1.49 M |
4/1/2020 | 1.46 M |
5/1/2020 | 1.55 M |
6/1/2020 | 1.54 M |
7/1/2020 | 1.5 M |
8/1/2020 | 1.49 M |
9/1/2020 | 1.46 M |
10/1/2020 | 1.42 M |
11/1/2020 | 1.28 M |
12/1/2020 | 1.06 M |
1/1/2021 | 1.03 M |
2/1/2021 | 1.03 M |
3/1/2021 | 1.05 M |
4/1/2021 | 1.15 M |
5/1/2021 | 1.21 M |
6/1/2021 | 1.23 M |
7/1/2021 | 1.31 M |
8/1/2021 | 1.28 M |
9/1/2021 | 1.26 M |
10/1/2021 | 1.23 M |
11/1/2021 | 1.11 M |
12/1/2021 | 880,000 |
1/1/2022 | 860,000 |
2/1/2022 | 870,000 |
3/1/2022 | 950,000 |
4/1/2022 | 1.03 M |
5/1/2022 | 1.15 M |
6/1/2022 | 1.26 M |
7/1/2022 | 1.31 M |
8/1/2022 | 1.28 M |
9/1/2022 | 1.25 M |
10/1/2022 | 1.22 M |
11/1/2022 | 1.14 M |
12/1/2022 | 960,000 |
1/1/2023 | 980,000 |
2/1/2023 | 970,000 |
3/1/2023 | 970,000 |
4/1/2023 | 1.04 M |
5/1/2023 | 1.08 M |
6/1/2023 | 1.07 M |
7/1/2023 | 1.11 M |
8/1/2023 | 1.1 M |
9/1/2023 | 1.13 M |
10/1/2023 | 1.15 M |
11/1/2023 | 1.13 M |
12/1/2023 | 990,000 |
1/1/2024 | 1.01 M |
2/1/2024 | 1.06 M |
3/1/2024 | 1.11 M |
4/1/2024 | 1.2 M |
5/1/2024 | 1.28 M |
6/1/2024 | 1.32 M |
7/1/2024 | 1.34 M |
8/1/2024 | 1.37 M |
9/1/2024 | 1.36 M |
Total Housing Inventory History
Date | Value |
---|---|
9/1/2024 | 1.36 M |
8/1/2024 | 1.37 M |
7/1/2024 | 1.34 M |
6/1/2024 | 1.32 M |
5/1/2024 | 1.28 M |
4/1/2024 | 1.2 M |
3/1/2024 | 1.11 M |
2/1/2024 | 1.06 M |
1/1/2024 | 1.01 M |
12/1/2023 | 990,000 |
Similar Macro Indicators to Total Housing Inventory
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 15-Year Mortgage Rate | 5.84 % | 5.96 % | frequency_weekly |
🇺🇸 30-Year Mortgage Rate | 6.86 % | 6.87 % | frequency_weekly |
🇺🇸 Average House Prices | 545,800 USD | 501,000 USD | Monthly |
🇺🇸 Average Mortgage Size | 405,490 USD | 405,400 USD | frequency_weekly |
🇺🇸 Building Permits | 1.419 M | 1.425 M | Monthly |
🇺🇸 Building Permits MoM | -0.4 % | -3.1 % | Monthly |
🇺🇸 Case-Shiller Home Price Index | 333.21 points | 329.95 points | Monthly |
🇺🇸 Case-Shiller Home Price Index MoM | 1.4 % | 1.6 % | Monthly |
🇺🇸 Case-Shiller Home Price Index YoY | 7.2 % | 7.5 % | Monthly |
🇺🇸 Construction Spending | -0.1 % | 0.3 % | Monthly |
🇺🇸 Existing Home Sales | 3.96 M | 3.83 M | Monthly |
🇺🇸 Existing Home Sales MoM | 3.4 % | -1.3 % | Monthly |
🇺🇸 Home Price Index MoM | 0 % | 0.3 % | Monthly |
🇺🇸 Homeownership Rate | 65.6 % | 65.6 % | Quarter |
🇺🇸 Housing Index | 424.3 points | 423.3 points | Monthly |
🇺🇸 Housing Price Index YoY | 6.3 % | 6.7 % | Monthly |
🇺🇸 Housing starts | 1.311 M units | 1.353 M units | Monthly |
🇺🇸 Housing Starts MoM | -3.1 % | -1.9 % | Monthly |
🇺🇸 MBA Mortgage Market Index | 212 points | 210.4 points | frequency_weekly |
🇺🇸 MBA Mortgage Refinancing Index | 552.4 points | 552.7 points | frequency_weekly |
🇺🇸 MBA Purchase Index | 154.9 points | 161.5 points | frequency_weekly |
🇺🇸 Mortgage applications | 0.8 % | 0.9 % | frequency_weekly |
🇺🇸 Mortgage Interest Rate | 6.93 % | 6.94 % | frequency_weekly |
🇺🇸 Mortgage Originations | 448.31 B USD | 374.11 B USD | Quarter |
🇺🇸 Multi-family Housing Starts | 278,000 units | 310,000 units | Monthly |
🇺🇸 NAHB Housing Market Index | 42 points | 43 points | Monthly |
🇺🇸 National House Price Index | 323.352 points | 322.277 points | Monthly |
🇺🇸 New Home Sales | 619,000 units | 698,000 units | Monthly |
🇺🇸 New Home Sales MoM | -11.3 % | 2 % | Monthly |
🇺🇸 Pending Home Sales | -6.6 % | -7.4 % | Monthly |
🇺🇸 Pending Home Sales MoM | -2.1 % | -7.7 % | Monthly |
🇺🇸 Price-Rent Ratio | 133.627 | 134.247 | Quarter |
🇺🇸 Residential property prices | 4.67 % | 5.27 % | Quarter |
🇺🇸 Single-family home prices | 407,200 USD | 406,700 USD | Monthly |
🇺🇸 Single-Family Home Starts | 982,000 units | 1.036 M units | Monthly |
In the United States, the Total Housing Inventory represents the quantity of single-family homes and condominium units currently on the market.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Total Housing Inventory?
Total Housing Inventory: A Comprehensive Overview for Economic Analysis Housing markets play a critical role in the broader macroeconomic landscape, reflecting and influencing various economic conditions and trends. Within this context, the Total Housing Inventory (THI) stands as a key metric, offering valuable insights to economists, investors, policymakers, and real estate professionals. At Eulerpool, our mission is to deliver precise and comprehensive macroeconomic data, and understanding THI is crucial for grasping housing market dynamics. The Total Housing Inventory denotes the total number of homes available for sale in a given region at a specific time. It includes all types of housing units, from single-family homes to condominiums and townhouses. THI figures are meticulously compiled and regularly updated by various governmental and private entities, including the National Association of Realtors (NAR) in the United States. This data serves as a barometer for the health and trends of the housing market and, by extension, provides clues about the overall economic condition. A high THI suggests that there is an ample supply of homes on the market, which can indicate a cooling housing market or an oversupply. Conversely, a low THI might suggest a tight housing market with lesser available stock, potentially driving up prices as demand outstrips supply. Therefore, tracking changes in THI is essential for interpreting the balance—or imbalance—between housing supply and demand, and by extension, for understanding price movements. From the perspective of economic analysis, THI is integral to forecasting and planning. Economists and market analysts study THI trends to project future housing prices, to anticipate potential housing bubbles, and to understand the implications for monetary policy. High THI combined with stagnant or declining prices might signal economic distress or an overbuilt market, leading policymakers to consider measures to stimulate demand or reduce supply. Conversely, a low THI with rapidly increasing prices might indicate overheating and fuel concerns about affordability and housing access, possibly prompting interventions to cool the market or increase housing stock. Real estate investors closely monitor THI as it directly impacts their investment decisions. Understanding whether the market is saturated or starved for housing stock allows investors to make informed choices about buying, selling, or holding properties. In a high-inventory market, investors might find better purchasing opportunities with more bargaining power. In a low-inventory market, however, strategic timing and positioning become crucial to capitalize on scarce opportunities and avoid overpaying. For homebuyers and sellers, THI is an invaluable measure that shapes decisions and expectations. A high THI might mean that buyers have more negotiating leverage and can afford to take their time choosing the right property. Sellers, on the other hand, might face more competition and need to price their homes more competitively. In a low-inventory environment, buyers might encounter multiple offers and higher prices, while sellers could benefit from faster sales and potentially higher profit margins. Moreover, the Total Housing Inventory influences broader economic indicators and sectors. For example, the construction industry is highly sensitive to changes in THI. A low inventory often triggers increased new construction activity, driven by the demand to bring more supply into the market. Conversely, high inventory can dampen construction efforts as developers may be reluctant to add to an already saturated market. This, in turn, affects employment rates, as the construction sector is a significant source of jobs, and can have downstream effects on industries such as manufacturing and retail, which supply goods and services to homebuilders. Financial markets also respond to fluctuations in THI. For instance, high inventory levels might lead to greater scrutiny of mortgage-backed securities (MBS) and other real estate investments as investors seek to understand the potential risk of price corrections. Low inventory could stimulate confidence in housing-related financial products, encouraging investments and potentially influencing stock prices of construction companies, real estate firms, and banks involved in property lending. Examining THI at different geographic scales provides additional layers of insight. National THI figures offer a macro view of the country's housing market, crucial for federal economic policy and large-scale investment decisions. Regional THI data reflects localized conditions and can highlight disparities within the national market, such as booming metropolitan areas versus struggling rural regions. This granularity aids regional planners and local governments in tailoring housing policies and initiatives to their specific circumstances. It is important to note that Total Housing Inventory is not a static figure; it is influenced by a multitude of factors including economic conditions, demographic trends, and policy changes. Economic factors such as interest rate changes, employment rates, and consumer confidence directly impact housing demand and inventory. Demographic trends, such as population growth, migration patterns, and generational changes, affect both the demand and supply sides of the market. Policy changes, including zoning laws, tax incentives, and housing subsidies, also play a critical role in shaping THI and overall market behavior. At Eulerpool, our commitment is to provide accurate and timely macroeconomic data, allowing stakeholders to make well-informed decisions. Total Housing Inventory is a pivotal category within our comprehensive economic data offerings, reflecting its significance in understanding and navigating the complexities of the housing market. By continuously monitoring THI and related metrics, users can gain a nuanced understanding of housing market dynamics and broader economic conditions. In conclusion, the Total Housing Inventory is a vital statistic for anyone involved in the housing market or broader economic analysis. Its implications stretch far beyond the realm of real estate, affecting economic policy, investment strategies, and financial markets. Through detailed and precise data on THI, Eulerpool equips its users with the knowledge needed to navigate and thrive in an ever-evolving economic landscape, reaffirming our role as a trusted resource for macroeconomic insights.