100+ datasets found
  1. C

    Housing Market Value Analysis 2021

    • data.wprdc.org
    • gimi9.com
    • +1more
    geojson, html, pdf +2
    Updated Jul 8, 2025
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    Allegheny County (2025). Housing Market Value Analysis 2021 [Dataset]. https://data.wprdc.org/dataset/market-value-analysis-2021
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    xlsx(22669), html, zip(1996574), pdf(28782887), zip(2039140), pdf(881980), geojson(10301172)Available download formats
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Allegheny County
    License

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

    Description

    In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

    This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

    • Residential Real Estate Sales
    • Mortgage Foreclosures
    • Residential Vacancy
    • Parcel Year Built
    • Parcel Condition
    • Building Violations
    • Owner Occupancy
    • Subsidized Housing Units

    The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

    Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

  2. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • ai-chatbox.pro
    • statista.com
    Updated May 20, 2025
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    Statista Research Department (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F1685%2Fmortgage-industry-of-the-united-states%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

  3. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  4. FMHPI house price index change 1990-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
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    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.

  5. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

  6. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

  7. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost ************* after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to ***********. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  8. UK House Price Index: data downloads December 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 16, 2022
    + more versions
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    HM Land Registry (2022). UK House Price Index: data downloads December 2021 [Dataset]. https://www.gov.uk/government/statistical-data-sets/uk-house-price-index-data-downloads-december-2021
    Explore at:
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Area covered
    United Kingdom
    Description

    The UK House Price Index is a National Statistic.

    Create your report

    Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_16_02_22" class="govuk-link">create your own bespoke reports.

    Download the data

    Datasets are available as CSV files. Find out about republishing and making use of the data.

    Google Chrome is blocking downloads of our UK HPI data files (Chrome 88 onwards). Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    Full file

    This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.

    Download the full UK HPI background file:

    Individual attributes files

    If you are interested in a specific attribute, we have separated them into these CSV files:

  9. Residential real estate price forecast change Germany 2021 with a forecast...

    • statista.com
    Updated Jan 17, 2023
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    Statista (2023). Residential real estate price forecast change Germany 2021 with a forecast until 2024 [Dataset]. https://www.statista.com/statistics/1173620/residential-real-estate-price-forecast-change-in-germany/
    Explore at:
    Dataset updated
    Jan 17, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022
    Area covered
    Germany
    Description

    House prices in Germany rose by about 12 percent in 2021 but price growth is forecast to slow down until 2024. According to a report by the Deutsche Bundesbank, the German housing market is set to experience a 1.2 percent increase in the average house price in 2023 and 3.2 percent increase in 2024. According to the source, despite higher construction costs, financing costs, and overall economic uncertainty, the high housing demand alongside insufficient supply are likely to continue to drive prices up. Residential real estate prices in the largest cities have grown substantially since 2012. In Munich - Germany's most expensive residential market - the square meter price reached almost 11,000 euros per square meter in 2022.

  10. China Property Price: YTD Avg: Overall

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China Property Price: YTD Avg: Overall [Dataset]. https://www.ceicdata.com/en/china/nbs-property-price-monthly/property-price-ytd-avg-overall
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Price
    Description

    China Property Price: YTD Avg: Overall data was reported at 9,510.153 RMB/sq m in Mar 2025. This records a decrease from the previous number of 9,547.228 RMB/sq m for Feb 2025. China Property Price: YTD Avg: Overall data is updated monthly, averaging 5,157.474 RMB/sq m from Dec 1995 (Median) to Mar 2025, with 352 observations. The data reached an all-time high of 11,029.538 RMB/sq m in Feb 2021 and a record low of 599.276 RMB/sq m in Feb 1996. China Property Price: YTD Avg: Overall data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Monthly.

  11. Thailand House Prices Growth

    • ceicdata.com
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    CEICdata.com, Thailand House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/thailand/house-prices-growth
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Oct 1, 2020 - Sep 1, 2021
    Area covered
    Thailand
    Description

    Key information about House Prices Growth

    • Thailand house prices grew 8.5% YoY in Sep 2021, following an increase of 4.9% YoY in the previous month.
    • YoY growth data is updated monthly, available from Mar 2009 to Sep 2021, with an average growth rate of 5.7%.
    • House price data reached an all-time high of 20.2% in Dec 2009 and a record low of -6.1% in Dec 2020.

    The Bank of Thailand calculates House Price Growth from Condominium Price Index with base 2009=100. House Prices Growth covers Bangkok and Vicinities only.

  12. Live tables on housing market and house prices

    • gov.uk
    Updated Jul 14, 2016
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    Ministry of Housing, Communities & Local Government (2018 to 2021) (2016). Live tables on housing market and house prices [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-housing-market-and-house-prices
    Explore at:
    Dataset updated
    Jul 14, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government (2018 to 2021)
    Description

    These statistics are no longer updated by DCLG.

    The equivalents of tables 581 to 588 are now published by the Office for National Statistics in the http://www.ons.gov.uk/peoplepopulationandcommunity/housing/bulletins/housepricestatisticsforsmallareas/previousReleases" class="govuk-link">house price statistics for small areas series and tables 576 to 578 in the https://www.ons.gov.uk/peoplepopulationandcommunity/housing/bulletins/housingaffordabilityinenglandandwales/previousReleases" class="govuk-link">housing affordability series.

    Discontinued tables

    Tables 531, 542, 563, 575 and 580 have been discontinued and are no longer being updated.

    https://assets.publishing.service.gov.uk/media/5a78fdd5ed915d0422066f21/141008.xls">Table 531: distribution of house prices, by new/other dwellings and type of buyer, United Kingdom, from 1990 (final version)

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">91 KB</span></p>
    
    
    
    
     <p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
     <details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"select_content","type":"detail","text":"Request an accessible format.","section":"Request an accessible format.","index_section":1}' class="gem-c-details govuk-details govuk-!-margin-bottom-0" title="Request an accessible format.">
    

    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:alternativeformats@communities.gov.uk" target="_blank" class="govuk-link">alternativeformats@communities.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

    https://assets.publishing.service.gov.uk/media/5a7ee6cae5274a2e8ab48eba/Table_542_-_Discontinued.xls">Table 542: mortgage lending by type of lender, United Kingdom, from 1990 (final version)

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</
    
  13. Home purchase prices in the U.S. 2021

    • statista.com
    Updated Jun 13, 2023
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    Statista (2023). Home purchase prices in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/505291/home-purchase-prices-usa/
    Explore at:
    Dataset updated
    Jun 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2021
    Area covered
    United States
    Description

    About 20 percent of home buyers in the United States in 2021 purchased homes that cost 500,000 U.S. dollars or more. The share of home buyers generally reduced as the house prices decreased. The largest share of purchases fell in the 200,000 to 249,999 and 250,000 to 299,999 price classes, which was below the national average sales price for existing homes.

  14. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1992 - Apr 30, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  15. c

    The global Real Estate Sector market size will be USD 3625.5 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global Real Estate Sector market size will be USD 3625.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/real-estate-sector-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Real Estate Sector market size will be USD 3625.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1450.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1087.65 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 833.87 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.0% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 181.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.51 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
    The Commercial real estate is the fastest-growing segment, driven by economic development, urbanization, and a shift toward modern, multi-use spaces
    

    Market Dynamics of Real Estate Sector Market

    Key Drivers for Real Estate Sector Market

    Urbanization and Population Growth to Boost Market Growth

    Urbanization is one of the primary drivers of the real estate sector. As more people migrate from rural areas to urban centers, there is an increasing demand for both residential and commercial properties. The growth of megacities around the world has spurred significant development in infrastructure, housing, and office spaces. This trend is expected to continue as populations in cities grow, creating new opportunities for real estate developers to meet the expanding demand for housing, retail spaces, and industrial areas. Additionally, urbanization leads to an increase in disposable income, further boosting the demand for better housing options and modern amenities. For instance, in October 2021, the Reserve Bank of India (RBI) stated that the benchmark interest rate would remain at 4%, providing a substantial boost to the country's real estate sector. Low house loan interest rates are predicted to fuel housing demand and boost sales by 35-40% during the holiday season of 2021

    Economic Expansion and Rising Income Levels to Drive Market Growth

    The overall economic expansion in many countries is another key driver for the real estate market. As economies grow, the demand for residential, commercial, and industrial properties rises in tandem. Rising income levels also contribute to increased purchasing power, allowing more people to invest in homes and businesses. Furthermore, a strong economy often leads to higher investor confidence, attracting more capital into the real estate sector. The construction of new infrastructure projects such as highways, airports, and transport systems also fuels further demand for real estate, thereby benefiting the market.

    Restraint Factor for the Real Estate Sector Market

    High Construction Costs, will Limit Market Growth

    One of the significant restraints in the real estate sector is the rising cost of construction materials and labor. The volatility in the prices of raw materials such as steel, cement, and timber, combined with labor shortages, leads to higher construction costs, which can delay projects and reduce profit margins. Additionally, increased costs can make property prices unaffordable for potential buyers, thus slowing the pace of development. This situation is exacerbated by global supply chain disruptions and inflationary pressures, which negatively affect the overall cost structure in real estate development. Developers must navigate these challenges while maintaining competitive pricing to ensure market viability.

    Impact of Covid-19 on the Real Estate Sector Market

    Covid-19 pandemic significantly impacted the real estate sector, leading to shifts in both demand and operational dynamics. During the early phases of the pandemic, lockdowns and economic uncertainties caused a slowdown in construction activities, delays in project completions, and a decline in property transactions. The residential market experienced a surge in demand for larger homes and properties in suburban areas as people ...

  16. Housing Developers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Housing Developers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/housing-developers-industry/
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Despite the pandemic's broader economic disruptions, low interest rates in 2020 initially fueled a housing market boom driven by work-from-home orders and a shift toward residential construction. This surge was a lifeline for builders amid economic turbulence. However, the tide turned in 2022 and 2023 as the Federal Reserve's interest rate hikes curbed housing investments, dampening consumer enthusiasm and slowing residential construction activity. Low housing stock and rate cuts late in 2024 led to growth in single-family housing starts, boosting revenue. Single-family home development climbed in more affordable and less densely populated areas in 2024, but new multifamily developments have plummeted. Industry revenue has been climbing at a CAGR of 0.8% over the past five years to total an estimated $233.5 billion in 2025, including an estimated increase of 0.2% in 2025 alone. The initial boom in 2020 and 2021 led to one of the most significant expansions in home-building in recent memory, yet interest rate hikes soon tempered this growth. As smaller-scale developers struggled with escalating construction costs and regulatory hurdles, larger, financially robust companies like DR Horton, Lennar and PulteGroup managed to thrive and expand their operations. These larger companies maximized their market share, leveraging their resources to navigate the challenging economic climate and maintain momentum despite the pressures of rising material costs and labor shortages. These rising material costs and labor shortages have driven up purchase and wage costs, contributing to profit declines over the past five years. Expected interest rate cuts will boost housing developers. Developers will benefit from these favorable conditions, especially those who strategically invest in less densely populated areas to meet the growing appetite for affordable housing. Rate cuts will also provide relief to smaller housing developers more sensitive to interest rate fluctuations. Sustainability also looms on the horizon, with tax incentives and energy-efficient building standards encouraging developers to explore eco-friendly construction. Still, rising material costs and labor shortages will continue to stifle profit growth and increase housing prices. Larger companies will continue to gain market share, strategically developing homes near areas with strong job growth near new large manufacturing facilities. Industry revenue is forecast to expand at a CAGR of 1.4% to total an estimated $250.6 billion through the end of 2030.

  17. T

    United States Nahb Housing Market Index

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jun 17, 2025
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    TRADING ECONOMICS (2025). United States Nahb Housing Market Index [Dataset]. https://tradingeconomics.com/united-states/nahb-housing-market-index
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1985 - Jun 30, 2025
    Area covered
    United States
    Description

    Nahb Housing Market Index in the United States decreased to 32 points in June from 34 points in May of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. M

    U.S. Housing - Days on Market (2016-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Housing - Days on Market (2016-2025) [Dataset]. https://www.macrotrends.net/3210/us-housing-days-on-market
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2016 - 2025
    Area covered
    United States
    Description

    The median number of days property listings spend on the market in a given geography during the specified month (calculated from list date to closing, pending, or off-market date depending on data availability).

    With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. 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 October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® 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/).

    With the release of its November 2021 housing trends report, Realtor.com® 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.com® 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/).

  19. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    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
    United States
    Description

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

  20. Indonesia House Prices Growth

    • ceicdata.com
    • dr.ceicdata.com
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    CEICdata.com (2021). Indonesia House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/indonesia/house-prices-growth
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Indonesia
    Description

    Key information about House Prices Growth

    • Indonesia house prices grew 1.4% YoY in Dec 2024, following an increase of 1.5% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2003 to Dec 2024, with an average growth rate of 3.1%.
    • House price data reached an all-time high of 13.5% in Sep 2013 and a record low of 1.0% in Jun 2021.

    CEIC calculates House Prices Growth from quarterly Residential Property Price Index. Bank Indonesia provides Residential Property Price Index with base 2018=100. House Prices Growth covers 18 major cities. House Prices Growth prior to Q1 2019 is calculated from House Price Index with base 2002=100. House Prices Growth prior to Q1 2013 covers 14 major cities.

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Allegheny County (2025). Housing Market Value Analysis 2021 [Dataset]. https://data.wprdc.org/dataset/market-value-analysis-2021

Housing Market Value Analysis 2021

Explore at:
xlsx(22669), html, zip(1996574), pdf(28782887), zip(2039140), pdf(881980), geojson(10301172)Available download formats
Dataset updated
Jul 8, 2025
Dataset provided by
Allegheny County
License

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

Description

In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

  • Residential Real Estate Sales
  • Mortgage Foreclosures
  • Residential Vacancy
  • Parcel Year Built
  • Parcel Condition
  • Building Violations
  • Owner Occupancy
  • Subsidized Housing Units

The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

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