76 datasets found
  1. F

    All-Transactions House Price Index for New York

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for New York [Dataset]. https://fred.stlouisfed.org/series/NYSTHPI
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    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
    New York
    Description

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

  2. Median sales price of residential real estate in New York City 2019-2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Median sales price of residential real estate in New York City 2019-2024 [Dataset]. https://www.statista.com/statistics/1235655/median-sale-price-of-housing-new-york/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Oct 2024
    Area covered
    United States, New York
    Description

    In October 2024, the median sales price of residential properties in New York City reached approximately ******* U.S. dollars, down from almost ******* U.S. dollars in July 2024. This was significantly higher than the national average for existing single-family homes.

  3. T

    All-Transactions House Price Index for New York

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, All-Transactions House Price Index for New York [Dataset]. https://tradingeconomics.com/united-states/house-price-index-for-new-york-index-1980-q1-100-q-nsa-fed-data.html
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    csv, json, xml, excelAvailable download formats
    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 1, 1976 - Dec 31, 2025
    Area covered
    New York
    Description

    All-Transactions House Price Index for New York was 1092.90000 Index 1980 Q1=100 in January of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for New York reached a record high of 1092.90000 in January of 2025 and a record low of 72.54000 in January of 1976. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for New York - last updated from the United States Federal Reserve on July of 2025.

  4. F

    Condo Price Index for New York, New York

    • fred.stlouisfed.org
    json
    Updated Jul 29, 2025
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    (2025). Condo Price Index for New York, New York [Dataset]. https://fred.stlouisfed.org/series/NYXRCSA
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    jsonAvailable download formats
    Dataset updated
    Jul 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    New York
    Description

    Graph and download economic data for Condo Price Index for New York, New York (NYXRCSA) from Jan 1995 to May 2025 about New York, HPI, housing, price index, indexes, price, and USA.

  5. Median sales price of residential real estate in New York City 2022-2023, by...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Median sales price of residential real estate in New York City 2022-2023, by borough [Dataset]. https://www.statista.com/statistics/1235464/median-sales-price-of-residential-properties-new-york-city-by-borough/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022 - Jun 2023
    Area covered
    New York
    Description

    As compared to the previous year, the median price for home sales in Manhattan, New York decreased in the first quarter of 2023. In that quarter, the home price reached the median of **** million U.S. dollars, down from *** million U.S. dollars the year before. In other New York boroughs, such as Brooklyn, and Queens, and Bronx, the median home prices followed the opposite trend.

  6. U.S. Housing Prices: Regional Trends (2000 - 2023)

    • kaggle.com
    Updated Dec 6, 2024
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    Praveen Chandran (2024). U.S. Housing Prices: Regional Trends (2000 - 2023) [Dataset]. https://www.kaggle.com/datasets/praveenchandran2006/u-s-housing-prices-regional-trends-2000-2023
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    Kaggle
    Authors
    Praveen Chandran
    Area covered
    United States
    Description

    Dataset Overview

    This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

    Why This Dataset?

    The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

    What’s Included?

    Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

    Columns Description

    Each column represents the housing price index for a specific region or aggregate, starting with a date column:

    Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

    Potential Use Cases

    Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

    Who Can Use This Dataset?

    This dataset is perfect for:

    Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

    Example Questions to Explore

    Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

  7. b

    Data from: New York housing Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jun 3, 2024
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    Bright Data (2024). New York housing Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate/new-york-housing
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide, New York
    Description

    Enrich your real estate strategies and market insights with our comprehensive New York Housing dataset. Analyzing this dataset can aid in understanding housing market dynamics and trends, empowering organizations to refine their investment strategies and business decisions. Access the entire dataset or tailor a subset to fit your requirements.

    Popular use cases include optimizing investment strategies based on neighborhood engagement and property popularity, performing detailed user behavior analysis and segmentation by housing type, price range, and location to tailor marketing and engagement efforts, and identifying and forecasting emerging trends in the New York housing market to stay ahead in the competitive real estate industry.

  8. F

    All-Transactions House Price Index for Westchester County, NY

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). All-Transactions House Price Index for Westchester County, NY [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS36119A
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    New York
    Description

    Graph and download economic data for All-Transactions House Price Index for Westchester County, NY (ATNHPIUS36119A) from 1975 to 2024 about Westchester County, NY; New York; NY; HPI; housing; price index; indexes; price; and USA.

  9. Average square footage price of housing in Manhattan, NY 2020-2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Average square footage price of housing in Manhattan, NY 2020-2024 [Dataset]. https://www.statista.com/statistics/1235728/average-price-of-residential-properties-per-square-foot-by-type-manhattan-new-york/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    New York
    Description

    The average price for residential real estate in Manhattan, New York increased for luxury, new developments, and condos. Conversely, prices for re-sale and co-op properties declined slightly. In the third quarter of 2024, the average square footage price for a re-sale property was ***** U.S. dollars per square foot.

  10. FMHPI house price index change 1990-2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). 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.

  11. U

    US Luxury Residential Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 4, 2025
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    Market Report Analytics (2025). US Luxury Residential Market Report [Dataset]. https://www.marketreportanalytics.com/reports/us-luxury-residential-market-92187
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 4, 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 luxury residential market, encompassing apartments, condominiums, villas, and landed houses, is a dynamic sector exhibiting robust growth. Driven by factors such as increasing high-net-worth individuals, a preference for upscale amenities and locations in prime cities like New York, Los Angeles, and San Francisco, and a sustained demand for second homes and investment properties, the market is projected to maintain a compound annual growth rate (CAGR) exceeding 3% from 2025 to 2033. While rising construction costs and interest rates pose challenges, the inherent resilience of the luxury segment, fueled by a limited supply of high-end properties and consistent demand from affluent buyers, mitigates these constraints. The segment's performance is geographically concentrated, with major metropolitan areas capturing the lion's share of market activity. Prominent developers like Toll Brothers Inc. and D.R. Horton are major players, contributing significantly to the market's supply. However, the market also faces challenges such as regulatory changes affecting construction and zoning, which could influence future growth. Furthermore, fluctuating global economic conditions and shifts in investor sentiment can impact demand in the luxury sector. The market segmentation highlights a strong preference for apartments and condominiums in urban centers, reflecting the lifestyle choices of many high-net-worth individuals. Villas and landed houses remain popular in suburban and rural areas, catering to a different segment of buyers prioritizing privacy and space. The regional analysis indicates that North America, particularly the US, dominates the luxury residential market, although international investment continues to play a significant role. The robust pipeline of luxury projects underway suggests continued growth, driven by sophisticated design, advanced technology integration in homes, and an increasing focus on sustainability. The market's performance will depend on the interplay of economic indicators, evolving consumer preferences, and the effective management of regulatory and infrastructural challenges. Understanding these dynamics is crucial for investors and developers aiming to navigate this lucrative yet complex market segment. Recent developments include: October 2021: Toll Brothers Inc. - the country's leading builder of luxury homes, through its Toll Brothers Campus Living Division and CanAm Capital Partners - the private equity affiliate of CanAm enterprises and a leading provider of project-level structured debt and equity solutions, announced the formation of a new joint venture. This joint venture will develop Lapis, a 1086-bed 293-unit luxury student housing community at Florida International University (FIU) in Miami, Florida. The community will offer luxury amenities, multiple study lounges, high-speed internet throughout the community, a resort-style pool, fitness center, bike storage, club room, outdoor kitchens, business center, and secured garage., November 2021: Toll Brothers Inc. - the nation's leading builder of luxury homes, through its Toll Brothers Apartment Living rental division and Sundance Bay - a leading private real estate investment and operating firm, announced the formation of a new joint venture to develop Broad & Noble. It is a 344-unit mixed-use rental apartment community in Philadelphia, Pa. This 18-story high-rise building will feature high-end luxury finishes, a fitness center, music, media, and podcast rooms; a conservatory and private dining rooms; a yoga and cycling studio, sky lounge with an outdoor deck area. Additionally, it will consist landscaped plaza, private storage areas, an access-controlled garage with bike storage, and a pet spa.. Notable trends are: Home Automation Becoming a Pre-requisite for Luxury Real Estate.

  12. F

    Housing Inventory: Active Listing Count in New York

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in New York [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUNY
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    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    New York
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in New York (ACTLISCOUNY) from Jul 2016 to Jul 2025 about active listing, NY, listing, and USA.

  13. Real Estate Appraisal in New York - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 15, 2025
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    IBISWorld (2025). Real Estate Appraisal in New York - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/new-york/real-estate-appraisal/15362/
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    Dataset updated
    Apr 15, 2025
    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
    New York
    Description

    The Real Estate Appraisal industry in New York is expected to grow an annualized x.x% to $x.x million over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments decreased an annualized -x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x% to $x.x million.

  14. U

    USA Commercial Real Estate Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). USA Commercial Real Estate Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/usa-commercial-real-estate-industry-17411
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.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 several key factors. Strong economic fundamentals, including a robust job market and increasing demand for office, retail, and industrial space in major metropolitan areas like New York, Los Angeles, and Chicago, contribute to this positive outlook. The ongoing expansion of e-commerce fuels the demand for logistics and warehousing facilities, while the multi-family sector benefits from population growth and urbanization trends. However, rising interest rates and potential economic slowdown pose challenges, potentially impacting investment activity and rental growth. The diverse range of property types within the CRE market creates opportunities and risks. Office space faces ongoing adaptation to hybrid work models, requiring landlords to enhance amenities and improve workplace flexibility. Retail spaces are undergoing transformation, with a focus on experiential retail and omni-channel strategies to compete with online retailers. The industrial and logistics sector remains strong, driven by continued e-commerce growth and supply chain optimization efforts. Competition among CRE companies like Zillow, Keller Williams, and CBRE remains fierce, emphasizing the need for innovation in property management and technological advancements in market analysis and transaction processes. While several cities experience robust growth, others might face localized challenges that influence individual market dynamics. The overall trajectory suggests a moderate expansion, albeit with variations across sectors and geographic locations. Careful consideration of these factors is crucial for successful investment and strategic decision-making within the US CRE industry. The forecast period of 2025-2033 suggests a continuation of these trends. While the 2.61% CAGR indicates a moderate growth rate, significant variations are expected across specific segments. The industrial and logistics sectors are likely to outperform others due to sustained demand, while office space may exhibit slower growth reflecting the ongoing adjustments to hybrid work. Regional variations will also be significant, with major metropolitan areas and technology hubs likely leading the growth trajectory. Understanding these nuances and deploying appropriate risk mitigation strategies will be vital for all stakeholders in the US commercial real estate market. This comprehensive report provides an in-depth analysis of the USA commercial real estate industry, covering the period from 2019 to 2033. With a focus on key market segments – offices, retail, industrial, logistics, multi-family, and hospitality – across major cities like New York, Los Angeles, Chicago, San Francisco, Boston, Denver, Houston, Phoenix, Atlanta, and Salt Lake City, this report offers invaluable insights for investors, developers, and industry professionals. The study utilizes 2025 as the base and estimated year, with a forecast period spanning 2025-2033 and a historical period covering 2019-2024. This report projects the market value in the billions of dollars, providing granular data and analysis of market dynamics. Key drivers for this market are: Increasing number of startups. Potential restraints include: Low Awareness and Privacy Issues. Notable trends are: Industrial Sector Expected to Record High Demand.

  15. U

    United States Home Construction Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Market Report Analytics (2025). United States Home Construction Market Report [Dataset]. https://www.marketreportanalytics.com/reports/united-states-home-construction-market-92174
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 23, 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
    United States
    Variables measured
    Market Size
    Description

    The United States home construction market, valued at approximately $700 billion in 2025, is experiencing robust growth, projected to maintain a compound annual growth rate (CAGR) exceeding 3% through 2033. This expansion is fueled by several key factors. Firstly, a persistent housing shortage, particularly in desirable urban areas like New York City, Los Angeles, and San Francisco, continues to drive demand. Secondly, favorable demographic trends, including millennial household formation and an increasing preference for homeownership, are bolstering the sector. Furthermore, low interest rates (though this is subject to change depending on economic conditions) have historically made mortgages more accessible, stimulating construction activity. However, the market isn't without its challenges. Rising material costs, labor shortages, and supply chain disruptions continue to exert upward pressure on construction prices, potentially impacting affordability and slowing growth in certain segments. The market is segmented by dwelling type (apartments & condominiums, villas, other), construction type (new construction, renovation), and geographic location, with significant activity concentrated in major metropolitan areas. The dominance of large national builders like D.R. Horton, Lennar Corp, and PulteGroup highlights the industry's consolidation trend, while the growth of multi-family construction reflects shifting urban preferences. Looking ahead, the market's trajectory will depend on macroeconomic factors, interest rate fluctuations, government policies impacting housing affordability, and the ability of the industry to address supply-chain and labor challenges. Innovation in construction technologies, sustainable building practices, and prefabricated homes are also emerging trends expected to significantly influence market dynamics over the forecast period. The competitive landscape is characterized by a mix of large publicly traded companies and smaller regional builders. While established players dominate the market share, opportunities exist for smaller firms specializing in niche markets, such as sustainable or luxury home construction, or those focused on specific geographic areas. The ongoing expansion of the market signifies significant potential for investment and growth, despite the hurdles currently impacting the sector. Addressing supply chain disruptions and labor shortages will be crucial for sustained growth. Continued demand in key urban centers and evolving consumer preferences toward specific dwelling types will be critical factors determining the market's future trajectory. Recent developments include: June 2022 - Pulte Homes - a national brand of PulteGroup, Inc. - announced the opening of its newest Boston-area community, Woodland Hill. Offering 46 new construction single-family homes in the charming town of Grafton, the community is conveniently located near schools, dining, and entertainment, with the Massachusetts Bay Transportation Authority commuter rail less than a mile away. The collection of home designs at Woodland Hill includes three two-story floor plans, ranging in size from 3,013 to 4,019 sq. ft. with four to six bedrooms, 2.5-3.5 baths, and 2-3 car garages. These spacious home designs feature flexible living spaces, plenty of natural light, gas fireplaces, and the signature Pulte Planning Center®, a unique multi-use workstation perfect for homework or a family office., December 2022 - D.R. Horton, Inc. announced the acquisition of Riggins Custom Homes, one of the largest builders in Northwest Arkansas. The homebuilding assets of Riggins Custom Homes and related entities (Riggins) acquired include approximately 3,000 lots, 170 homes in inventory, and 173 homes in the sales order backlog. For the trailing twelve months ended November 30, 2022, Riggins closed 153 homes (USD 48 million in revenue) with an average home size of approximately 1,925 square feet and an average sales price of USD 313,600. D.R. Horton expects to pay approximately USD 107 million in cash for the purchase, and the Company plans to combine the Riggins operations with the current D.R. Horton platform in Northwest Arkansas.. Notable trends are: High-interest Rates are Negatively Impacting the Market.

  16. h

    New York County Loan Limits: Complete Historical Table

    • homebuyer.com
    Updated Aug 5, 2025
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    (2025). New York County Loan Limits: Complete Historical Table [Dataset]. https://homebuyer.com/mortgage-loan-limits/new-york-county-new-york
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    Dataset updated
    Aug 5, 2025
    Area covered
    Manhattan, New York
    Description

    Browse the full historical data for New York County mortgage loan limits from 1972 to 2025. This comprehensive table shows how loan limits have changed over 50+ years, helping you understand long-term trends in your local housing market.

  17. F

    All-Transactions House Price Index for Nassau County-Suffolk County, NY...

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Nassau County-Suffolk County, NY (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS35004Q
    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
    Nassau County, Suffolk County, New York
    Description

    Graph and download economic data for All-Transactions House Price Index for Nassau County-Suffolk County, NY (MSAD) (ATNHPIUS35004Q) from Q3 1975 to Q1 2025 about Nassau, NY, appraisers, HPI, housing, price index, indexes, price, and USA.

  18. Property Management in New York - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 15, 2025
    + more versions
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    IBISWorld (2025). Property Management in New York - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/new-york/property-management/12132/
    Explore at:
    Dataset updated
    Apr 15, 2025
    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
    New York
    Description

    The Property Management industry in New York is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x% to $x.x billion.

  19. Average price per square foot in new single-family homes U.S. 2000-2024

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
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    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  20. a

    Housing Market Study Typologies

    • hub.arcgis.com
    • data.cityofrochester.gov
    Updated Feb 18, 2020
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    Open_Data_Admin (2020). Housing Market Study Typologies [Dataset]. https://hub.arcgis.com/maps/RochesterNY::housing-market-study-typologies
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    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    Open_Data_Admin
    Area covered
    Description

    DisclaimerBefore using this layer, please review the 2018 Rochester Citywide Housing Market Study for the full background and context that is required for interpreting and portraying this data. Please click here to access the study. Please also note that the housing market typologies were based on analysis of property data from 2008 to 2018, and is a snapshot of market conditions within that time frame. For an accurate depiction of current housing market typologies, this analysis would need to be redone with the latest available data.About the DataThis is a polygon feature layer containing the boundaries of all census blockgroups in the city of Rochester. Beyond the unique identifier fields including GEOID, the only other field is the housing market typology for that blockgroup.Information from the 2018 Housing Market Study- Housing Market TypologiesThe City of Rochester commissioned a Citywide Housing Market Study in 2018 as a technical study to inform development of the City's new Comprehensive Plan, Rochester 2034, and retained czb, LLC – a firm with national expertise based in Alexandria, VA – to perform the analysis.Any understanding of Rochester’s housing market – and any attempt to develop strategies to influence the market in ways likely to achieve community goals – must begin with recognition that market conditions in the city are highly uneven. On some blocks, competition for real estate is strong and expressed by pricing and investment levels that are above city averages. On other blocks, private demand is much lower and expressed by above average levels of disinvestment and physical distress. Still other blocks are in the middle – both in terms of condition of housing and prevailing prices. These block-by-block differences are obvious to most residents and shape their options, preferences, and actions as property owners and renters. Importantly, these differences shape the opportunities and challenges that exist in each neighborhood, the types of policy and investment tools to utilize in response to specific needs, and the level and range of available resources, both public and private, to meet those needs. The City of Rochester has long recognized that a one-size-fits-all approach to housing and neighborhood strategy is inadequate in such a diverse market environment and that is no less true today. To concisely describe distinct market conditions and trends across the city in this study, a Housing Market Typology was developed using a wide range of indicators to gauge market health and investment behaviors. This section of the Citywide Housing Market Study introduces the typology and its components. In later sections, the typology is used as a tool for describing and understanding demographic and economic patterns within the city, the implications of existing market patterns on strategy development, and how existing or potential policy and investment tools relate to market conditions.Overview of Housing Market Typology PurposeThe Housing Market Typology in this study is a tool for understanding recent market conditions and variations within Rochester and informing housing and neighborhood strategy development. As with any typology, it is meant to simplify complex information into a limited number of meaningful categories to guide action. Local context and knowledge remain critical to understanding market conditions and should always be used alongside the typology to maximize its usefulness.Geographic Unit of Analysis The Block Group – a geographic unit determined by the U.S. Census Bureau – is the unit of analysis for this typology, which utilizes parcel-level data. There are over 200 Block Groups in Rochester, most of which cover a small cluster of city blocks and are home to between 600 and 3,000 residents. For this tool, the Block Group provides geographies large enough to have sufficient data to analyze and small enough to reveal market variations within small areas.Four Components for CalculationAnalysis of multiple datasets led to the identification of four typology components that were most helpful in drawing out market variations within the city:• Terms of Sale• Market Strength• Bank Foreclosures• Property DistressThose components are described one-by-one on in the full study document (LINK), with detailed methodological descriptions provided in the Appendix.A Spectrum of Demand The four components were folded together to create the Housing Market Typology. The seven categories of the typology describe a spectrum of housing demand – with lower scores indicating higher levels of demand, and higher scores indicating weaker levels of demand. Typology 1 are areas with the highest demand and strongest market, while typology 3 are the weakest markets. For more information please visit: https://www.cityofrochester.gov/HousingMarketStudy2018/Dictionary: STATEFP10: The two-digit Federal Information Processing Standards (FIPS) code assigned to each US state in the 2010 census. New York State is 36. COUNTYFP10: The three-digit Federal Information Processing Standards (FIPS) code assigned to each US county in the 2010 census. Monroe County is 055. TRACTCE10: The six-digit number assigned to each census tract in a US county in the 2010 census. BLKGRPCE10: The single-digit number assigned to each block group within a census tract. The number does not indicate ranking or quality, simply the label used to organize the data. GEOID10: A unique geographic identifier based on 2010 Census geography, typically as a concatenation of State FIPS code, County FIPS code, Census tract code, and Block group number. NAMELSAD10: Stands for Name, Legal/Statistical Area Description 2010. A human-readable field for BLKGRPCE10 (Block Groups). MTFCC10: Stands for MAF/TIGER Feature Class Code 2010. For this dataset, G5030 represents the Census Block Group. BLKGRP: The GEOID that identifies a specific block group in each census tract. TYPOLOGYFi: The point system for Block Groups. Lower scores indicate higher levels of demand – including housing values and value appreciation that are above the Rochester average and vulnerabilities to distress that are below average. Higher scores indicate lower levels of demand – including housing values and value appreciation that are below the Rochester average and above presence of distressed or vulnerable properties. Points range from 1.0 to 3.0. For more information on how the points are calculated, view page 16 on the Rochester Citywide Housing Study 2018. Shape_Leng: The built-in geometry field that holds the length of the shape. Shape_Area: The built-in geometry field that holds the area of the shape. Shape_Length: The built-in geometry field that holds the length of the shape. Source: This data comes from the City of Rochester Department of Neighborhood and Business Development.

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(2025). All-Transactions House Price Index for New York [Dataset]. https://fred.stlouisfed.org/series/NYSTHPI

All-Transactions House Price Index for New York

NYSTHPI

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2 scholarly articles cite this dataset (View in Google Scholar)
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
New York
Description

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

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