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Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA) (HOSCMSA16740)

Feb 2025: 58.52843
Updated: Mar 11, 2025 2:25 PM CDT
Feb 2025:  58.52843  
Jan 2025:  59.03010  
Dec 2024:  55.68562  
Nov 2024:  56.02007  
Oct 2024:  50.16722  

Units:

Score,
Not Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA) Vintage: 2025-02-06
Bar 1
(a) Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA), Score, Not Seasonally Adjusted (HOSCMSA16740)
The Hotness score is an equally-weighted composite metric of a market's supply score (based on days on market) and demand score (based on realtor.com listing views). With the release of its November 2021 housing trends report, Realtor.comĀ® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.comĀ® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
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You can begin by adding a series to combine with your existing series.

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    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where ā€œaā€ refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA) Vintage: 2025-02-06
    Bar 2
    (a) Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA), Score, Not Seasonally Adjusted (HOSCMSA16740)
    The Hotness score is an equally-weighted composite metric of a market's supply score (based on days on market) and demand score (based on realtor.com listing views). With the release of its November 2021 housing trends report, Realtor.comĀ® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.comĀ® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where ā€œaā€ refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA) Vintage: 2025-02-06
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      Bar 2
      Market Hotness: Hotness Score in Charlotte-Concord-Gastonia, NC-SC (CBSA) Vintage: 2025-03-11
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      Notes

      Title Release Dates

      2020-04-02 2025-03-11
       
      Source    

      2020-04-02 2025-03-11
       
      Release    

      2020-04-02 2025-03-11
       
      Units    

      2020-04-02 2025-03-11
       
      Frequency    

      2020-04-02 2025-03-11
       
      Seasonal Adjustment    

      2020-04-02 2025-03-11
       
      Notes    

      2020-04-02 2021-12-01
      2021-12-02 2025-03-11

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