9 datasets found
  1. A

    ‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-boston-house-prices-advanced-regression-techniques-bae0/fd606ebf/?iid=003-529&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Boston
    Description

    Analysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Similar Datasets

    • Gender Pay Gap Dataset: LINK
    • California Housing Prices Data (5 new features!): LINK
    • Company Bankruptcy Prediction: LINK

    Context

    The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

    Attribute Information

    Input features in order: 1) CRIM: per capita crime rate by town 2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft. 3) INDUS: proportion of non-retail business acres per town 4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M] 6) RM: average number of rooms per dwelling 7) AGE: proportion of owner-occupied units built prior to 1940 8) DIS: weighted distances to five Boston employment centres 9) RAD: index of accessibility to radial highways 10) TAX: full-value property-tax rate per $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population

    Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]

    Source

    StatLib - Carnegie Mellon University

    Relevant Papers

    Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK

    Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK

    --- Original source retains full ownership of the source dataset ---

  2. F

    All-Transactions House Price Index for Boston, MA (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All-Transactions House Price Index for Boston, MA (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS14454Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Boston, Massachusetts
    Description

    Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q1 2025 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

  3. U.S. housing: Case Shiller Boston Home Price Index 2016-2024

    • statista.com
    Updated Jan 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. housing: Case Shiller Boston Home Price Index 2016-2024 [Dataset]. https://www.statista.com/statistics/398423/case-shiller-boston-home-price-index/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2016 - Aug 2024
    Area covered
    United States
    Description

    The S&P Case Shiller Boston Home Price Index has risen steadily since February 2020. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Boston Home Price Index amounted to nearly 335.36 in August 2024. That was above the national average.

  4. housing price index prediction project data

    • figshare.com
    txt
    Updated Mar 23, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sophia Zhou (2021). housing price index prediction project data [Dataset]. http://doi.org/10.6084/m9.figshare.14253278.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Mar 23, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Sophia Zhou
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    S&P/Case-Shiller home price index and 12 demographic and macroeconomic factors in five metropolitan areas: Boston, Dallas, New York, Chicago, and San Francisco (SF) data were collected from the Federal Reserve Bank, FBI, and Freddie Mac. https://fred.stlouisfed.org; http://www.freddiemac.com/pmms/; https://www.philadelphiafed.org/surveys-and-data/community-development-data/consumer-credit-explorer; https://ucr.fbi.gov/crime-in-the-u.s/2005;

  5. A

    ‘Delhi House Price Prediction’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 18, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Delhi House Price Prediction’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-delhi-house-price-prediction-7ec5/latest
    Explore at:
    Dataset updated
    Jan 18, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Delhi
    Description

    Analysis of ‘Delhi House Price Prediction’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/neelkamal692/delhi-house-price-prediction on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Content

    This is not a comprehensive list, some of the attributes i left intentionally and some just couldn't extract. Dataset consists of 12 columns and 1259 rows. 6 of the features are numerical valued and rest are categorical. code for extracting Data is available at my Github account.

    Acknowledgements

    The Data has been extracted from MagicBricks (a website, provides common platform to property buyer and seller ).

    Inspiration

    I have done property price prediction on Boston Dataset, so i was wondering, if i can do it for Delhi properties too.

    --- Original source retains full ownership of the source dataset ---

  6. F

    All-Transactions House Price Index for Massachusetts

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All-Transactions House Price Index for Massachusetts [Dataset]. https://fred.stlouisfed.org/series/MASTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Massachusetts
    Description

    Graph and download economic data for All-Transactions House Price Index for Massachusetts (MASTHPI) from Q1 1975 to Q1 2025 about MA, appraisers, HPI, housing, price index, indexes, price, and USA.

  7. FMHPI house price index change 1990-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

  8. U

    USA Commercial Real Estate Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). USA Commercial Real Estate Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/usa-commercial-real-estate-industry-92168
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 20, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US commercial real estate (CRE) market, valued at $1.66 trillion in 2025, is projected to experience steady growth, driven by robust economic activity and increasing demand across various sectors. A compound annual growth rate (CAGR) of 2.61% from 2025 to 2033 indicates a positive outlook, although this growth is expected to be moderated by factors like rising interest rates and potential economic slowdowns. Strong performance is anticipated in key sectors such as office, retail, and industrial spaces, particularly in major metropolitan areas like New York, Los Angeles, and Chicago. The multi-family sector, fueled by population growth and urbanization, is also poised for significant expansion. However, challenges remain, including supply chain disruptions impacting construction costs and the evolving nature of work impacting office demand. The logistics sector continues to be a significant driver of growth, fueled by e-commerce expansion and the need for efficient supply chains. Competition among established players like CBRE, Cushman & Wakefield, JLL, and numerous regional firms will likely remain fierce, necessitating strategic acquisitions, technological advancements, and innovative service offerings to secure market share. The regional distribution of the US CRE market reflects the concentration of economic activity and population density. The Northeast and West Coast regions are expected to continue to dominate, with New York, Los Angeles, and San Francisco being key contributors to overall market value. However, growth is also anticipated in secondary markets such as Denver, Austin, and Nashville, driven by factors like lower operating costs and population migration. The ongoing shift towards sustainable and technologically advanced buildings will likely influence investment decisions, as investors prioritize energy efficiency and environmental responsibility. The forecast period (2025-2033) will likely witness increased adoption of PropTech solutions aimed at improving efficiency and transparency within the industry, furthering shaping the competitive landscape and overall market dynamics. Recent developments include: In March 2022, Progressive Real Estate Partners, the leading retail real estate brokerage firm in the Inland Empire, announced the USD 8 million-worth sale of The Grove. This property is a Circle K anchored neighborhood center located in Orange St. in Redlands, CA. The 39,339-square-foot property is situated at the signalized intersection of Orange Street and San Bernardino Avenue, just minutes from the I-10 and I-210 freeways and the University of Redlands., In February 2022, Shannon Waltchack (SW) acquired a 23,150 sq. ft shopping center Gateway Plaza in Bloomingdale, IL - the sixth acquisition in SW's latest fund. The center is 100% occupied by a mix of medical, service, and food tenants, including Aspen Dental, LensCrafters, and McAlister's Deli.. Notable trends are: Industrial Sector Expected to Record High Demand.

  9. Monthly apartment rent and rental growth in Boston, MA, 2018-2023

    • statista.com
    Updated Jan 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly apartment rent and rental growth in Boston, MA, 2018-2023 [Dataset]. https://www.statista.com/statistics/1365735/apartment-rent-and-rental-growth-boston/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2023
    Area covered
    Massachusetts
    Description

    The median rent for one- and two-bedroom apartments in Boston, Massachusetts, amounted to about 2,302 U.S. dollars by the end of 2023. Rents decreased slightly after the beginning of the coronavirus pandemic,this trend reversed in 2021 and as of December 2023, the annual rental growth stood at 3.32 percent. Among the different states in the U.S., Massachusetts ranks as one of the most expensive rental markets.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-boston-house-prices-advanced-regression-techniques-bae0/fd606ebf/?iid=003-529&v=presentation

‘Boston House Prices-Advanced Regression Techniques’ analyzed by Analyst-2

Explore at:
Dataset updated
Feb 13, 2022
Dataset authored and provided by
Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Boston
Description

Analysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Similar Datasets

  • Gender Pay Gap Dataset: LINK
  • California Housing Prices Data (5 new features!): LINK
  • Company Bankruptcy Prediction: LINK

Context

The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

Attribute Information

Input features in order: 1) CRIM: per capita crime rate by town 2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft. 3) INDUS: proportion of non-retail business acres per town 4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M] 6) RM: average number of rooms per dwelling 7) AGE: proportion of owner-occupied units built prior to 1940 8) DIS: weighted distances to five Boston employment centres 9) RAD: index of accessibility to radial highways 10) TAX: full-value property-tax rate per $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population

Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]

Source

StatLib - Carnegie Mellon University

Relevant Papers

Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK

Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK

--- Original source retains full ownership of the source dataset ---

Search
Clear search
Close search
Google apps
Main menu