Access the world's leading financial data and tools
Subscribe for $2 
Australia CoreLogic Dwelling Prices Month-over-Month (MoM)
Price
The current value of the CoreLogic Dwelling Prices Month-over-Month (MoM) in Australia is 0.8 %. The CoreLogic Dwelling Prices Month-over-Month (MoM) in Australia increased to 0.8 % on 5/1/2024, after it was 0.6 % on 4/1/2024. From 2/1/1980 to 6/1/2024, the average GDP in Australia was 0.51 %. The all-time high was reached on 6/1/1988 with 5.5 %, while the lowest value was recorded on 9/1/1984 with -2.9 %.
CoreLogic Dwelling Prices Month-over-Month (MoM) ·
3 years
5 years
10 years
25 Years
Max
| CoreLogic Housing Prices MoM | |
|---|---|
| 2/1/1980 | 0.5 % |
| 3/1/1980 | 0.5 % |
| 4/1/1980 | 1.6 % |
| 5/1/1980 | 0.8 % |
| 6/1/1980 | 1.7 % |
| 7/1/1980 | 4 % |
| 8/1/1980 | 4.7 % |
| 9/1/1980 | 4.1 % |
| 11/1/1980 | 1.3 % |
| 12/1/1980 | 2 % |
| 1/1/1981 | 0.4 % |
| 2/1/1981 | 1.3 % |
| 3/1/1981 | 0.1 % |
| 4/1/1981 | 0.2 % |
| 6/1/1981 | 1.8 % |
| 7/1/1981 | 1.5 % |
| 8/1/1981 | 1.9 % |
| 10/1/1981 | 0.7 % |
| 11/1/1981 | 0.5 % |
| 12/1/1981 | 0.3 % |
| 1/1/1982 | 0.4 % |
| 3/1/1982 | 1.5 % |
| 4/1/1982 | 0.8 % |
| 7/1/1982 | 0.3 % |
| 10/1/1982 | 0.1 % |
| 2/1/1983 | 0.1 % |
| 4/1/1983 | 2.1 % |
| 5/1/1983 | 0.7 % |
| 6/1/1983 | 1.4 % |
| 7/1/1983 | 1.2 % |
| 8/1/1983 | 0.1 % |
| 9/1/1983 | 0.3 % |
| 11/1/1983 | 0.6 % |
| 12/1/1983 | 0.9 % |
| 1/1/1984 | 1.2 % |
| 2/1/1984 | 0.6 % |
| 3/1/1984 | 0.8 % |
| 4/1/1984 | 1.8 % |
| 5/1/1984 | 0.6 % |
| 7/1/1984 | 2.1 % |
| 8/1/1984 | 0.4 % |
| 10/1/1984 | 1.5 % |
| 1/1/1985 | 1.5 % |
| 2/1/1985 | 0.9 % |
| 3/1/1985 | 0.7 % |
| 4/1/1985 | 0.5 % |
| 5/1/1985 | 0.6 % |
| 6/1/1985 | 0.1 % |
| 7/1/1985 | 0.9 % |
| 9/1/1985 | 0.9 % |
| 10/1/1985 | 0.9 % |
| 11/1/1985 | 1 % |
| 12/1/1985 | 1.8 % |
| 1/1/1986 | 0.2 % |
| 2/1/1986 | 0.1 % |
| 7/1/1986 | 0.5 % |
| 8/1/1986 | 0.3 % |
| 9/1/1986 | 1 % |
| 11/1/1986 | 0.4 % |
| 12/1/1986 | 0.9 % |
| 1/1/1987 | 1.1 % |
| 2/1/1987 | 0.6 % |
| 3/1/1987 | 0.3 % |
| 4/1/1987 | 0.6 % |
| 5/1/1987 | 0.4 % |
| 6/1/1987 | 1.4 % |
| 7/1/1987 | 2.2 % |
| 8/1/1987 | 2.2 % |
| 9/1/1987 | 2.2 % |
| 10/1/1987 | 2.8 % |
| 11/1/1987 | 0.2 % |
| 12/1/1987 | 0.8 % |
| 1/1/1988 | 3.3 % |
| 2/1/1988 | 1.9 % |
| 3/1/1988 | 1.3 % |
| 4/1/1988 | 1.3 % |
| 5/1/1988 | 2.8 % |
| 6/1/1988 | 5.5 % |
| 7/1/1988 | 4 % |
| 8/1/1988 | 3.6 % |
| 9/1/1988 | 2.9 % |
| 10/1/1988 | 3.3 % |
| 11/1/1988 | 0.9 % |
| 12/1/1988 | 1.7 % |
| 1/1/1989 | 2.6 % |
| 2/1/1989 | 1.1 % |
| 3/1/1989 | 0.5 % |
| 4/1/1989 | 0.5 % |
| 5/1/1989 | 0.4 % |
| 2/1/1990 | 0.4 % |
| 3/1/1990 | 0.6 % |
| 4/1/1990 | 0.6 % |
| 11/1/1990 | 0.1 % |
| 3/1/1991 | 0.4 % |
| 4/1/1991 | 0.4 % |
| 5/1/1991 | 0.6 % |
| 6/1/1991 | 0.3 % |
| 7/1/1991 | 0.4 % |
| 8/1/1991 | 0.8 % |
| 9/1/1991 | 0.2 % |
| 10/1/1991 | 0.4 % |
| 11/1/1991 | 0.1 % |
| 1/1/1992 | 0.1 % |
| 2/1/1992 | 0.1 % |
| 3/1/1992 | 0.1 % |
| 7/1/1992 | 0.4 % |
| 8/1/1992 | 0.1 % |
| 10/1/1992 | 0.2 % |
| 11/1/1992 | 0.2 % |
| 12/1/1992 | 0.1 % |
| 1/1/1993 | 0.3 % |
| 2/1/1993 | 0.3 % |
| 3/1/1993 | 0.4 % |
| 4/1/1993 | 0.1 % |
| 5/1/1993 | 0.4 % |
| 6/1/1993 | 0.2 % |
| 7/1/1993 | 0.3 % |
| 8/1/1993 | 0.2 % |
| 9/1/1993 | 0.1 % |
| 10/1/1993 | 0.4 % |
| 11/1/1993 | 0.7 % |
| 12/1/1993 | 0.3 % |
| 1/1/1994 | 0.4 % |
| 2/1/1994 | 0.8 % |
| 3/1/1994 | 0.9 % |
| 4/1/1994 | 0.8 % |
| 5/1/1994 | 0.7 % |
| 6/1/1994 | 0.5 % |
| 7/1/1994 | 0.4 % |
| 8/1/1994 | 0.5 % |
| 9/1/1994 | 0.3 % |
| 10/1/1994 | 0.2 % |
| 9/1/1995 | 0.1 % |
| 10/1/1995 | 0.1 % |
| 11/1/1995 | 0.4 % |
| 2/1/1996 | 0.5 % |
| 3/1/1996 | 0.8 % |
| 4/1/1996 | 0.4 % |
| 5/1/1996 | 0.3 % |
| 6/1/1996 | 0.2 % |
| 7/1/1996 | 0.1 % |
| 8/1/1996 | 0.3 % |
| 9/1/1996 | 0.4 % |
| 10/1/1996 | 0.3 % |
| 11/1/1996 | 0.6 % |
| 12/1/1996 | 0.4 % |
| 1/1/1997 | 0.4 % |
| 2/1/1997 | 0.7 % |
| 3/1/1997 | 1.1 % |
| 4/1/1997 | 0.7 % |
| 5/1/1997 | 0.8 % |
| 6/1/1997 | 0.8 % |
| 7/1/1997 | 1 % |
| 8/1/1997 | 1.1 % |
| 9/1/1997 | 1 % |
| 10/1/1997 | 1 % |
| 11/1/1997 | 0.8 % |
| 12/1/1997 | 0.5 % |
| 1/1/1998 | 0.5 % |
| 2/1/1998 | 0.4 % |
| 3/1/1998 | 0.5 % |
| 4/1/1998 | 0.2 % |
| 5/1/1998 | 0.2 % |
| 7/1/1998 | 0.1 % |
| 9/1/1998 | 0.3 % |
| 10/1/1998 | 0.5 % |
| 11/1/1998 | 0.5 % |
| 12/1/1998 | 0.4 % |
| 1/1/1999 | 0.5 % |
| 2/1/1999 | 1 % |
| 3/1/1999 | 1.1 % |
| 4/1/1999 | 1 % |
| 5/1/1999 | 1.1 % |
| 6/1/1999 | 1 % |
| 7/1/1999 | 0.9 % |
| 8/1/1999 | 1.1 % |
| 9/1/1999 | 1 % |
| 10/1/1999 | 1 % |
| 11/1/1999 | 0.8 % |
| 12/1/1999 | 0.6 % |
| 1/1/2000 | 0.7 % |
| 2/1/2000 | 0.6 % |
| 3/1/2000 | 0.6 % |
| 4/1/2000 | 0.7 % |
| 5/1/2000 | 0.2 % |
| 6/1/2000 | 0.1 % |
| 8/1/2000 | 0.1 % |
| 9/1/2000 | 0.2 % |
| 10/1/2000 | 0.3 % |
| 11/1/2000 | 0.6 % |
| 12/1/2000 | 0.5 % |
| 1/1/2001 | 0.7 % |
| 2/1/2001 | 1.2 % |
| 3/1/2001 | 1.2 % |
| 4/1/2001 | 1.4 % |
| 5/1/2001 | 1.5 % |
| 6/1/2001 | 1.6 % |
| 7/1/2001 | 1.7 % |
| 8/1/2001 | 1.7 % |
| 9/1/2001 | 1.7 % |
| 10/1/2001 | 1.4 % |
| 11/1/2001 | 0.8 % |
| 12/1/2001 | 0.7 % |
| 1/1/2002 | 0.9 % |
| 2/1/2002 | 0.9 % |
| 3/1/2002 | 1.5 % |
| 4/1/2002 | 1.4 % |
| 5/1/2002 | 1.4 % |
| 6/1/2002 | 1.2 % |
| 7/1/2002 | 1.2 % |
| 8/1/2002 | 1.3 % |
| 9/1/2002 | 1.3 % |
| 10/1/2002 | 1.1 % |
| 11/1/2002 | 0.5 % |
| 12/1/2002 | 0.4 % |
| 1/1/2003 | 0.6 % |
| 2/1/2003 | 0.4 % |
| 3/1/2003 | 1 % |
| 4/1/2003 | 1.2 % |
| 5/1/2003 | 1.3 % |
| 6/1/2003 | 1.5 % |
| 7/1/2003 | 1.6 % |
| 8/1/2003 | 2 % |
| 9/1/2003 | 2 % |
| 10/1/2003 | 1.8 % |
| 11/1/2003 | 1.1 % |
| 12/1/2003 | 0.4 % |
| 1/1/2004 | 0.2 % |
| 9/1/2004 | 0.1 % |
| 10/1/2004 | 0.4 % |
| 11/1/2004 | 0.5 % |
| 12/1/2004 | 0.1 % |
| 1/1/2005 | 0.1 % |
| 2/1/2005 | 0.5 % |
| 3/1/2005 | 0.6 % |
| 4/1/2005 | 0.3 % |
| 5/1/2005 | 0.1 % |
| 6/1/2005 | 0.1 % |
| 8/1/2005 | 0.2 % |
| 9/1/2005 | 0.3 % |
| 10/1/2005 | 0.6 % |
| 11/1/2005 | 0.6 % |
| 12/1/2005 | 0.3 % |
| 1/1/2006 | 0.4 % |
| 2/1/2006 | 0.8 % |
| 3/1/2006 | 1.2 % |
| 4/1/2006 | 1.1 % |
| 5/1/2006 | 1.2 % |
| 6/1/2006 | 1 % |
| 7/1/2006 | 1 % |
| 8/1/2006 | 0.9 % |
| 9/1/2006 | 0.7 % |
| 10/1/2006 | 0.4 % |
| 11/1/2006 | 0.3 % |
| 12/1/2006 | 0.1 % |
| 2/1/2007 | 0.3 % |
| 3/1/2007 | 0.8 % |
| 4/1/2007 | 0.7 % |
| 5/1/2007 | 1.2 % |
| 6/1/2007 | 1.2 % |
| 7/1/2007 | 1.2 % |
| 8/1/2007 | 1.4 % |
| 9/1/2007 | 1.3 % |
| 10/1/2007 | 1.3 % |
| 11/1/2007 | 1 % |
| 12/1/2007 | 0.6 % |
| 1/1/2008 | 0.6 % |
| 2/1/2008 | 0.2 % |
| 2/1/2009 | 0.4 % |
| 3/1/2009 | 0.8 % |
| 4/1/2009 | 0.9 % |
| 5/1/2009 | 1 % |
| 6/1/2009 | 0.9 % |
| 7/1/2009 | 1.1 % |
| 8/1/2009 | 1.5 % |
| 9/1/2009 | 1.5 % |
| 10/1/2009 | 1.5 % |
| 11/1/2009 | 1.3 % |
| 12/1/2009 | 0.8 % |
| 1/1/2010 | 1 % |
| 2/1/2010 | 1 % |
| 3/1/2010 | 1.1 % |
| 4/1/2010 | 1 % |
| 5/1/2010 | 0.7 % |
| 3/1/2011 | 0.1 % |
| 4/1/2011 | 0.1 % |
| 2/1/2012 | 0.1 % |
| 3/1/2012 | 0.6 % |
| 4/1/2012 | 0.2 % |
| 5/1/2012 | 0.4 % |
| 7/1/2012 | 0.1 % |
| 8/1/2012 | 0.1 % |
| 9/1/2012 | 0.2 % |
| 10/1/2012 | 0.5 % |
| 11/1/2012 | 0.5 % |
| 12/1/2012 | 0.1 % |
| 1/1/2013 | 0.1 % |
| 2/1/2013 | 0.7 % |
| 3/1/2013 | 1 % |
| 4/1/2013 | 0.8 % |
| 5/1/2013 | 0.9 % |
| 6/1/2013 | 0.7 % |
| 7/1/2013 | 0.6 % |
| 8/1/2013 | 0.8 % |
| 9/1/2013 | 1.1 % |
| 10/1/2013 | 1.2 % |
| 11/1/2013 | 1.2 % |
| 12/1/2013 | 0.8 % |
| 1/1/2014 | 0.7 % |
| 2/1/2014 | 0.9 % |
| 3/1/2014 | 1 % |
| 4/1/2014 | 0.8 % |
| 5/1/2014 | 0.6 % |
| 6/1/2014 | 0.4 % |
| 7/1/2014 | 0.3 % |
| 8/1/2014 | 0.6 % |
| 9/1/2014 | 0.9 % |
| 10/1/2014 | 0.8 % |
| 11/1/2014 | 0.7 % |
| 12/1/2014 | 0.3 % |
| 1/1/2015 | 0.5 % |
| 2/1/2015 | 0.8 % |
| 3/1/2015 | 1.4 % |
| 4/1/2015 | 1.3 % |
| 5/1/2015 | 1.7 % |
| 6/1/2015 | 1.5 % |
| 7/1/2015 | 1 % |
| 8/1/2015 | 1.1 % |
| 9/1/2015 | 0.6 % |
| 10/1/2015 | 0.2 % |
| 3/1/2016 | 0.1 % |
| 4/1/2016 | 0.3 % |
| 5/1/2016 | 0.4 % |
| 6/1/2016 | 0.6 % |
| 7/1/2016 | 0.7 % |
| 8/1/2016 | 1.1 % |
| 9/1/2016 | 1.2 % |
| 10/1/2016 | 1.3 % |
| 11/1/2016 | 1.1 % |
| 12/1/2016 | 0.7 % |
| 1/1/2017 | 0.7 % |
| 2/1/2017 | 1 % |
| 3/1/2017 | 1.1 % |
| 4/1/2017 | 0.8 % |
| 5/1/2017 | 0.7 % |
| 6/1/2017 | 0.3 % |
| 7/1/2017 | 0.1 % |
| 8/1/2017 | 0.1 % |
| 3/1/2018 | 0.1 % |
| 6/1/2019 | 0.4 % |
| 7/1/2019 | 0.7 % |
| 8/1/2019 | 1.5 % |
| 9/1/2019 | 1.6 % |
| 10/1/2019 | 1.6 % |
| 11/1/2019 | 1.7 % |
| 12/1/2019 | 0.8 % |
| 1/1/2020 | 0.9 % |
| 2/1/2020 | 1 % |
| 3/1/2020 | 0.3 % |
| 9/1/2020 | 0.2 % |
| 10/1/2020 | 0.9 % |
| 11/1/2020 | 1.2 % |
| 12/1/2020 | 1.1 % |
| 1/1/2021 | 1.1 % |
| 2/1/2021 | 2.7 % |
| 3/1/2021 | 3.2 % |
| 4/1/2021 | 2.2 % |
| 5/1/2021 | 2.2 % |
| 6/1/2021 | 1.6 % |
| 7/1/2021 | 1.4 % |
| 8/1/2021 | 1.5 % |
| 9/1/2021 | 1.6 % |
| 10/1/2021 | 1.7 % |
| 11/1/2021 | 1.1 % |
| 12/1/2021 | 0.5 % |
| 1/1/2022 | 0.8 % |
| 2/1/2022 | 0.2 % |
| 3/1/2022 | 0.2 % |
| 2/1/2023 | 0.6 % |
| 3/1/2023 | 1 % |
| 4/1/2023 | 1 % |
| 5/1/2023 | 1.6 % |
| 6/1/2023 | 1.3 % |
| 7/1/2023 | 0.8 % |
| 8/1/2023 | 0.9 % |
| 9/1/2023 | 0.8 % |
| 10/1/2023 | 0.9 % |
| 11/1/2023 | 0.3 % |
| 12/1/2023 | 0.3 % |
| 1/1/2024 | 0.4 % |
| 2/1/2024 | 0.6 % |
| 3/1/2024 | 0.6 % |
| 4/1/2024 | 0.6 % |
| 5/1/2024 | 0.8 % |
CoreLogic Dwelling Prices Month-over-Month (MoM) History
| Date | Value |
|---|---|
| 5/1/2024 | 0.8 % |
| 4/1/2024 | 0.6 % |
| 3/1/2024 | 0.6 % |
| 2/1/2024 | 0.6 % |
| 1/1/2024 | 0.4 % |
| 12/1/2023 | 0.3 % |
| 11/1/2023 | 0.3 % |
| 10/1/2023 | 0.9 % |
| 9/1/2023 | 0.8 % |
| 8/1/2023 | 0.9 % |
Similar Macro Indicators to CoreLogic Dwelling Prices Month-over-Month (MoM)
| Name | Current | Previous | Frequency |
|---|---|---|---|
🇦🇺 Average House Prices | 933,800 AUD | 920,400 AUD | Quarter |
🇦🇺 Building permits | 9,252 | 9,199 | Monthly |
🇦🇺 Building Permits | 14,175 | 13,442 | Monthly |
🇦🇺 Building Permits MoM | 4.4 % | -3.9 % | Monthly |
🇦🇺 Building Permits YoY | -3.7 % | -8.2 % | Monthly |
🇦🇺 Construction Output | -2.9 % | 1.8 % | Quarter |
🇦🇺 Homeownership Rate | 66 % | 66.2 % | Annually |
🇦🇺 Investment Loans for Residential Houses | 11.711 B AUD | 11.016 B AUD | Monthly |
🇦🇺 Mortgage Interest Rate | 6.06 % | 6.05 % | Monthly |
🇦🇺 Mortgage loan | 18.49 B AUD | 17.731 B AUD | Monthly |
🇦🇺 New Home Sales | 3,762 Units | 3,758 Units | Monthly |
🇦🇺 Private Housing Approvals | -0.5 % | 1.9 % | Monthly |
🇦🇺 Residential building permits | 3,981 | 3,936 | Monthly |
🇦🇺 Residential property prices | 6.93 % | 2.36 % | Quarter |
In Australia, the CoreLogic Home Value Index is designed to measure month-to-month movements in the value of the housing market. Unlike indices that rely solely on transacted sale prices to assess market conditions, the CoreLogic Home Value Index employs a 'hedonic' methodology, incorporating the attributes of transacting properties into its analysis. This Index offers monthly capital growth measurements across three main housing categories: detached houses, units, and a combined dwellings index that includes both houses and units. Results from the Index are published on the last working day of each month and are available via subscription through Eulerpool.
Macro pages for other countries in Australia
What is CoreLogic Dwelling Prices Month-over-Month (MoM)?
The real estate market is a critical component of the broader economy, influencing and reflecting various economic conditions. One of the essential metrics for understanding real estate trends and their macroeconomic implications is the ‘CoreLogic Dwelling Prices MoM’ (Month-over-Month). CoreLogic is a renowned provider of property data and analytics, offering comprehensive insights into real estate markets across various regions. The ‘CoreLogic Dwelling Prices MoM’ metric elucidates the month-over-month changes in residential property values. For a professional website like Eulerpool, which is dedicated to displaying macroeconomic data, understanding and presenting this metric effectively is crucial for providing value to users. The CoreLogic Dwelling Prices MoM is an important economic indicator for several reasons. Firstly, it enables analysts and investors to observe short-term trends in the housing market. The month-over-month assessment offers a granular look at how dwelling prices are evolving, capturing immediate economic shifts influenced by factors such as policy changes, economic events, and seasonal trends. Unlike annual or quarterly data, which can smooth over short-term fluctuations, MoM data captures immediate changes and is, therefore, invaluable for real-time economic analysis. CoreLogic gathers extensive data on residential properties, employing sophisticated algorithms and analytics tools to ensure the accuracy and reliability of its price indices. The dwellings considered in this metric include a variety of residential properties such as single-family homes, condominiums, and townhouses. By covering a broad spectrum of dwelling types, CoreLogic's data offers a comprehensive picture of the housing market. For economists and market analysts visiting Eulerpool, the CoreLogic Dwelling Prices MoM metric is essential for several reasons. It provides insights into consumer behavior, as rising dwelling prices may indicate increased demand and consumer confidence, while falling prices could signal reduced demand and potential economic concerns. This information helps analysts forecast future economic conditions and make informed decisions. Investors in the real estate market also benefit from this metric. By understanding the month-over-month price changes, they can identify potential opportunities for investment or divestment. For instance, consistent monthly price increases might suggest a hot market where investments could yield significant returns. Conversely, a downward trend could indicate a cooling market, prompting more cautious investment strategies. Additionally, the data can aid in identifying regional trends, as price movements often vary across different geographic areas due to local economic conditions, regulatory environments, and market demand. The CoreLogic Dwelling Prices MoM metric also plays a pivotal role in shaping policy decisions. Policymakers and government agencies monitor this data to gauge the health of the housing market and the broader economy. For example, substantial increases in dwelling prices might trigger concerns about housing affordability, prompting interventions such as adjusting interest rates or implementing regulations to stabilize the market. Conversely, declining prices could lead to policies aimed at stimulating demand, such as tax incentives for homebuyers or subsidies for property developers. On the supply side, the MoM metric provides insights into the construction industry and housing supply dynamics. A steady rise in dwelling prices may indicate a supply shortage, prompting increased construction activity to meet demand. On the other hand, declining prices could suggest an oversupply, possibly leading to a slowdown in construction. Understanding the drivers behind month-over-month price changes is crucial for informed analysis. Several factors can influence dwelling prices, including interest rates, employment levels, and income growth. For instance, lower interest rates reduce the cost of borrowing, making mortgages more affordable and potentially leading to increased demand for housing. Improved employment rates and income growth similarly boost consumer confidence and purchasing power, driving up dwelling prices. Conversely, economic downturns, rising interest rates, or unfavorable employment conditions can dampen demand and lead to price declines. Seasonal variations are another significant consideration when analyzing MoM changes. Housing markets often exhibit seasonal patterns, with higher transaction volumes and price movements during certain times of the year. For instance, spring and summer months typically see increased home buying activity, leading to upward pressure on prices. Understanding these seasonal trends is essential for distinguishing between normal cyclical patterns and underlying market shifts. Regional disparities also play a critical role in month-over-month housing price changes. Different regions experience unique economic conditions based on local industries, population growth, and regulatory environments. Therefore, price trends in urban areas may differ significantly from those in rural regions. Analysts must consider these regional factors to provide accurate and contextually relevant interpretations of the data. For a platform like Eulerpool, presenting the CoreLogic Dwelling Prices MoM data effectively involves not only displaying the raw numbers but also contextualizing them within broader economic trends. Interactive charts and graphs can enhance user understanding, allowing them to visualize monthly changes and identify patterns. Additionally, providing expert analysis and commentary can help users interpret the data and draw actionable insights. Moreover, historical data comparisons are invaluable for contextualizing current month-over-month changes. By examining how prices have evolved over time, users can identify long-term trends and deviations. For example, a sustained period of rising prices followed by a sudden decline could indicate a significant market shift or economic event, warranting closer examination. In conclusion, the CoreLogic Dwelling Prices MoM metric is a vital tool for understanding real estate market dynamics and their broader economic implications. For a professional platform like Eulerpool, presenting this data with precision, context, and expert analysis enriches the user experience, enabling economists, investors, policymakers, and other stakeholders to make informed decisions. By capturing the month-over-month changes in dwelling prices, this metric provides a real-time snapshot of the housing market, reflecting immediate economic shifts and offering a window into future trends.