Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Oct 2025 about median and USA.

Graph and download economic data for Housing Inventory: Median Days on Market in Minneapolis-ST. Paul-Bloomington, MN-WI (CBSA) (MEDDAYONMAR33460) from Jul 2016 to Oct 2025 about Minneapolis, MN, WI, median, and USA.

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

Graph and download economic data for Housing Inventory: Median Days on Market in Miami-Dade County, FL (MEDDAYONMAR12086) from Jul 2016 to Oct 2025 about Miami-Dade County, FL; Miami; FL; median; and USA.

Graph and download economic data for Housing Inventory: Median Days on Market in Georgia (MEDDAYONMARGA) from Jul 2016 to Oct 2025 about GA, median, and USA.

https://raw.githubusercontent.com/Masterx-AI/Project_Housing_Price_Prediction_/main/hs.jpg" alt="">

Description:

A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

Acknowledgement:

Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple feature.
• Also evaluate the models & compare thier respective scores like R2, RMSE, etc.

Overview

This residential real estate data set was created by Redfin, an online real estate brokerage. Published on January 9th, 2022, this data summarize the monthly housing market for every State, Metro, and Zip code in the US from 2012 to 2021. Redfin aggregated this data across multiple listing services and has been gracious enough to include property type in their reporting. Please properly cite and link to RedFin if you end up using this data for your research or project.

Source: RedFin Data Center

Property Type

Property type defined by RedFin

• All Residential: All properties defined as single-family, condominium, co-operative, townhouses, and multi-family (2-4 units) homes with a county record.
• Single Family Home (SFH): are homes built on a single lot, with no shared walls. Sometimes there’s a garage, attached or detached.
• Condominium (Condo): Usually a single unit within a larger building or community. Generally come with homeowners’ associations (HOAs), which require the residents to pay monthly or yearly dues.
• Cooperatives (Co-op): Usually a single unit within a larger building or community, but with a different way of holding a title to a shared building. You join a community and everyone in the community owns the building together.
• Townhouse: a hybrid between a condo and a single-family home. They are often multiple floors, with one or two shared walls, and some have a small yard space or rooftop deck. They’re generally larger than a condo, but smaller than a single-family home.
• Multifamily (2-4 units): They are essentially a home that has been turned into two or more units but the units cannot be purchased individually. There is one owner for the whole building.
• Land: Just land, no home of any type for sale.

Source: Building Types

Property Type

For more definitions, please visit RedFin Data Center Metrics

• Average sale to list: The mean ratio of each home's sale price divided by their list price covering all homes with a sale date during a given time period. Excludes properties with a sale price of 50%.
• Home sales: Total number of homes with a sale date during a given time period.
• Inventory: Total number of active listings on the last day of a given time period.
• Median active list ppsf: The median list price per square foot of all active listings.
• Median active list price: The median list price of all active listings.
• Median active listings: The median of how many listings were active on each day within a given time period.
• Median days on market: The number of days between the date the home was listed for sale and when the home went off-market/pending sale covering all homes with an off-market date during a given time period where 50% of the off-market homes sat longer on the market and 50% went off the market faster. Excludes homes that sat on the market for more than 1 year.
• Median days to close: The median number of days a home takes to go from pending to sold.
• Median list price: The most recent listing price covering all homes with a listing date during a given time period where 50% of the active listings were above this price and 50% were below this price.
• Median list price per square foot: The most recent listing price divided by the total square feet of the property (not the lot) covering all homes with a listing date during a given time period where 50% of the active listings were above this price per sqft and 50% were below this price per sqft.
• Median listing with price drops: The median of how many listings were active on each day and whose current list price is less than the original list price within a given time period.
• Median sale price: The final home sale price covering all homes with a sale date during a given time period where 50% of the sales were above this price and 50% were below this price.
• Median sale price per square foot: The final home sale price divided by the total square feet of the property (not the lot) covering all homes with a sale date during a given time period where 50% of the sales were above this price per sqft and 50% were below this price per sqft.
• Months of supply: When data are monthly, it is inventory divided by home sales. This tells you how long it would take supply to be bought up if no new homes came on the market.
• New listings: Total number of homes with a listing added date during a given time period.
• Off market in two weeks: The total number of homes that went under contract within two weeks of their listing date.
• Pending home sales: Total homes that went under contract during the period. Excludes homes that were on the market longer than 90 ...

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

Housing Inventory: Median Days on Market in Ozaukee County, WI was 38.00000 Level in September of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market in Ozaukee County, WI reached a record high of 91.00000 in January of 2017 and a record low of 24.00000 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market in Ozaukee County, WI - last updated from the United States Federal Reserve on November of 2025.

Housing Inventory: Median Days on Market Year-Over-Year in Ithaca, NY (CBSA) was 18.87% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market Year-Over-Year in Ithaca, NY (CBSA) reached a record high of 170.59 in February of 2024 and a record low of -78.87 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market Year-Over-Year in Ithaca, NY (CBSA) - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Housing Inventory: Median Days on Market in Missouri (MEDDAYONMARMO) from Jul 2016 to Oct 2025 about MO, median, and USA.

House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Housing Inventory: Median Days on Market in Colorado Springs, CO (CBSA) was 65.00000 Level in September of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market in Colorado Springs, CO (CBSA) reached a record high of 72.00000 in December of 2024 and a record low of 8.00000 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market in Colorado Springs, CO (CBSA) - last updated from the United States Federal Reserve on November of 2025.

Housing Inventory: Median Days on Market in Oakland County, MI was 37.00000 Level in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market in Oakland County, MI reached a record high of 69.00000 in January of 2020 and a record low of 15.00000 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market in Oakland County, MI - last updated from the United States Federal Reserve on December of 2025.

United States Avg Days on Market: All Residential: New York data was reported at 51.000 Day in Jul 2020. This records a decrease from the previous number of 53.000 Day for Jun 2020. United States Avg Days on Market: All Residential: New York data is updated monthly, averaging 83.000 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 161.000 Day in Mar 2012 and a record low of 41.000 Day in Jul 2018. United States Avg Days on Market: All Residential: New York data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB005: Average Days on Market: by States.

Graph and download economic data for Housing Inventory: Median Days on Market in North Carolina (MEDDAYONMARNC) from Jul 2016 to Oct 2025 about NC, median, and USA.

United States Avg Days on Market: All Residential: Lexington, KY data was reported at 11.000 Day in Jul 2020. This stayed constant from the previous number of 11.000 Day for Jun 2020. United States Avg Days on Market: All Residential: Lexington, KY data is updated monthly, averaging 40.000 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 106.000 Day in Feb 2012 and a record low of 11.000 Day in Jul 2020. United States Avg Days on Market: All Residential: Lexington, KY data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB006: Average Days on Market: by Metropolitan Areas.

Housing Inventory: Median Days on Market Year-Over-Year in Greenville County, SC was -3.27% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market Year-Over-Year in Greenville County, SC reached a record high of 84.87 in February of 2023 and a record low of -48.33 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market Year-Over-Year in Greenville County, SC - last updated from the United States Federal Reserve on December of 2025.

United States Avg Days on Market: sa: All Residential: Janesville, WI data was reported at 55.853 Day in Jul 2020. This records a decrease from the previous number of 59.127 Day for Jun 2020. United States Avg Days on Market: sa: All Residential: Janesville, WI data is updated monthly, averaging 62.543 Day from Nov 2014 (Median) to Jul 2020, with 69 observations. The data reached an all-time high of 112.363 Day in Apr 2015 and a record low of 50.598 Day in Feb 2018. United States Avg Days on Market: sa: All Residential: Janesville, WI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB007: Average Days on Market: by Metropolitan Areas: Seasonally Adjusted.

Graph and download economic data for Housing Inventory: Median Days on Market in Knoxville, TN (CBSA) (MEDDAYONMAR28940) from Jul 2016 to Oct 2025 about Knoxville, TN, median, and USA.