100+ datasets found
  1. d

    Real Estate Sales 2001-2023 GL

    • catalog.data.gov
    • data.ct.gov
    Updated Sep 14, 2025
    + more versions
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    data.ct.gov (2025). Real Estate Sales 2001-2023 GL [Dataset]. https://catalog.data.gov/dataset/real-estate-sales-2001-2018
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    Dataset updated
    Sep 14, 2025
    Dataset provided by
    data.ct.gov
    Description

    The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

  2. F

    State and Local Government: Other Investments: Directly Held Real Property

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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    (2025). State and Local Government: Other Investments: Directly Held Real Property [Dataset]. https://fred.stlouisfed.org/series/QPRHLDDRPMIVHOLDINGSUSNO
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

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

    Description

    Graph and download economic data for State and Local Government: Other Investments: Directly Held Real Property (QPRHLDDRPMIVHOLDINGSUSNO) from Q1 2019 to Q2 2025 about pension, state & local, real estate, investment, government, and USA.

  3. o

    Real Estate Indicators 2018 - Dataset - Open Government Data

    • opendata.gov.jo
    Updated Jun 23, 2020
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    (2020). Real Estate Indicators 2018 - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/real-estate-indicators-2018-442-2018
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    Dataset updated
    Jun 23, 2020
    Description

    Annual Report 2018, Chapter 2: Real Estate Indicators

  4. o

    Real estate newsletter - Dataset - Open Government Data

    • opendata.gov.jo
    Updated Apr 13, 2023
    + more versions
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    (2023). Real estate newsletter - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/real-estate-newsletter-1918-2023
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    Dataset updated
    Apr 13, 2023
    Description

    Real estate newsletter

  5. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 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
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 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 Q2 2025 about sales, median, housing, and USA.

  6. F

    State and Local Governments; Nonresidential Real Estate, Transactions

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). State and Local Governments; Nonresidential Real Estate, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FA215035035Q
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    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for State and Local Governments; Nonresidential Real Estate, Transactions (BOGZ1FA215035035Q) from Q4 1946 to Q2 2025 about retirement, state & local, nonresidential, transactions, real estate, government, employment, and USA.

  7. R

    NJ Division of Purchase and Property

    • data.nj.gov
    • data.wu.ac.at
    csv, xlsx, xml
    Updated Sep 25, 2014
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    Treasury (2014). NJ Division of Purchase and Property [Dataset]. https://data.nj.gov/Government-Finance/NJ-Division-of-Purchase-and-Property/8vre-47aa
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Sep 25, 2014
    Dataset authored and provided by
    Treasury
    Area covered
    New Jersey
    Description

    This is a link to the New Jersey Division of Purchase and Property.

  8. Price Paid Data

    • gov.uk
    Updated Sep 29, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    August 2025 data (current month)

    The August 2025 release includes:

    • the first release of data for August 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the August data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

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

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

  9. d

    USDA Rural Development Resale Properties - Real Estate Owned

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 21, 2025
    + more versions
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    Rural Development, Department of Agriculture (2025). USDA Rural Development Resale Properties - Real Estate Owned [Dataset]. https://catalog.data.gov/dataset/usda-rural-development-resale-properties-real-estate-owned
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Rural Development, Department of Agriculture
    Description

    Data provides current information regarding single family homes, and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.

  10. O

    Real Estate Decisions

    • data.ct.gov
    • portal.ct.gov
    • +2more
    application/rdfxml +5
    Updated Sep 9, 2025
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    Department of Consumer Protection (2025). Real Estate Decisions [Dataset]. https://data.ct.gov/Government/Real-Estate-Decisions/9ky9-v9uu
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    application/rdfxml, csv, application/rssxml, json, xml, tsvAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Department of Consumer Protection
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Administrative hearing decisions

  11. F

    State and Local Government: Other Indirectly Held Assets: Real Estate...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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    (2025). State and Local Government: Other Indirectly Held Assets: Real Estate Investment Trusts (REITs) [Dataset]. https://fred.stlouisfed.org/series/QPRHLDREIINDHOLDINGSUSNO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

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

    Description

    Graph and download economic data for State and Local Government: Other Indirectly Held Assets: Real Estate Investment Trusts (REITs) (QPRHLDREIINDHOLDINGSUSNO) from Q1 2019 to Q2 2025 about REIT, pension, state & local, assets, government, and USA.

  12. D

    Real Estate Data Exchange Hubs Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Real Estate Data Exchange Hubs Market Research Report 2033 [Dataset]. https://dataintelo.com/report/real-estate-data-exchange-hubs-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Estate Data Exchange Hubs Market Outlook



    According to our latest research, the global Real Estate Data Exchange Hubs market size reached USD 3.4 billion in 2024, reflecting robust demand for seamless, secure, and scalable data integration across the real estate ecosystem. The market is projected to expand at a compelling CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 10.3 billion by 2033. This growth is primarily driven by the increasing adoption of digital platforms, the proliferation of smart property technologies, and the critical need for real-time, reliable data sharing among stakeholders in the real estate sector.




    One of the core growth drivers of the Real Estate Data Exchange Hubs market is the accelerating digital transformation within the property sector. Real estate agencies, property developers, and financial institutions are increasingly leveraging data-driven insights to inform investment decisions, streamline transactions, and enhance customer experiences. The integration of artificial intelligence and machine learning within these hubs enables predictive analytics, automates compliance checks, and supports dynamic pricing models. This digital shift not only improves operational efficiency but also fosters transparency and trust among buyers, sellers, and regulatory bodies. The proliferation of Internet of Things (IoT) devices within commercial and residential properties further amplifies the demand for centralized data exchange platforms that can aggregate, process, and analyze vast datasets in real time.




    Another significant factor propelling the market is the growing emphasis on regulatory compliance and data security. As data privacy regulations such as GDPR and CCPA become more stringent, real estate organizations are compelled to adopt robust data exchange hubs that ensure secure, auditable, and compliant data transactions. These platforms are equipped with advanced encryption, access control, and monitoring capabilities, which mitigate the risks of data breaches and unauthorized access. Furthermore, the need for cross-border property transactions and international investment flows necessitates standardized data formats and interoperable systems, driving the adoption of global data exchange protocols and cloud-based solutions.




    The rapid expansion of smart cities and the increasing complexity of urban infrastructure projects also contribute to the growth of the Real Estate Data Exchange Hubs market. Municipal governments and urban planners require real-time access to property, zoning, and land use data to optimize city planning and resource allocation. Data exchange hubs facilitate collaboration among public and private stakeholders, enabling the integration of geospatial data, environmental metrics, and demographic trends. This holistic approach to data management supports sustainable development, enhances urban resilience, and unlocks new revenue streams for both government entities and private sector participants.




    From a regional perspective, North America currently dominates the Real Estate Data Exchange Hubs market, accounting for over 38% of global revenue in 2024. The region’s leadership is underpinned by a mature real estate industry, high digital adoption rates, and a favorable regulatory environment. However, Asia Pacific is emerging as a high-growth market, driven by rapid urbanization, infrastructure investments, and the digitalization of property management practices. Europe also demonstrates strong potential, particularly in markets such as Germany, the UK, and France, where regulatory compliance and cross-border transactions are critical. Latin America and the Middle East & Africa, while currently smaller in scale, are expected to witness accelerated growth as digital infrastructure matures and real estate markets become more transparent and accessible.



    Component Analysis



    The Component segment of the Real Estate Data Exchange Hubs market comprises software, services, and platforms, each playing a pivotal role in shaping the industry’s evolution. Software solutions are at the core of data exchange hubs, enabling organizations to manage, process, and analyze property-related data efficiently. These solutions often feature robust APIs, data mapping tools, and integration frameworks that facilitate seamless connectivity with multiple data sources, including MLS listings, public records, and IoT devices. The increasing complexity of re

  13. General Services Administration Owned Properties

    • gisnation-sdi.hub.arcgis.com
    • hub.arcgis.com
    Updated May 24, 2023
    + more versions
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    Esri U.S. Federal Datasets (2023). General Services Administration Owned Properties [Dataset]. https://gisnation-sdi.hub.arcgis.com/datasets/fedmaps::general-services-administration-owned-properties
    Explore at:
    Dataset updated
    May 24, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    General Services Administration Owned PropertiesThis National Geospatial Data Asset (NGDA) dataset, shared as a General Services Administration (GSA) feature layer, displays federal government owned properties in the United States, Puerto Rico, Northern Mariana Islands, U.S. Virgin Islands, Guam and American Samoa. Per GSA, it is "the nation’s largest public real estate organization, provides workspace for over one million federal workers. These employees, along with government property, are housed in space owned by the federal government and in leased properties including buildings, land, antenna sites, etc. across the country."Federally owned buildings in downtown DCData currency: Current federal service (FC_IOLP_BLDG))NGDAID: 133 (Inventory of Owned and Leased Properties (IOLP))OGC API Features Link: Not AvailableFor more information: Real EstateFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

  14. f

    Metropolitan Real Estate PLC | Public Records & Directories | Government &...

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). Metropolitan Real Estate PLC | Public Records & Directories | Government & Public Sector Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Public%20Records%20&%20Directories
    Explore at:
    Dataset updated
    Sep 22, 2024
    Description

    Metropolitan Real Estate PLC is a leading real estate developer in Ethiopia, dedicated to providing high-quality apartments in prime locations. With a focus on luxury living, the company's luxury lines feature opulent properties that embody modern day comfort and convenience. From the Metropolitan Residence to Central Tower Apartments, Metropolitan's luxury offerings are designed to exceed expectations.

    The company's standard lines, meanwhile, provide another option for those seeking quality and affordability. With standard apartments that are built to international standards, Metropolitan prides itself on delivering excellent investment opportunities in top-notch locations. Whether you're looking for a luxurious retreat or a secure investment, Metropolitan Real Estate PLC has something to offer.

  15. Global Real Estate Market Size By Residential, By Commercial, By Geographic...

    • verifiedmarketresearch.com
    Updated Apr 20, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Real Estate Market Size By Residential, By Commercial, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-market/
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    Dataset updated
    Apr 20, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Real Estate Market size was valued at USD 79.7 Trillion in 2024 and is projected to reach USD 103.6 Trillion by 2031, growing at a CAGR of 5.1% during the forecasted period 2024 to 2031

    Global Real Estate Market Drivers

    Population Growth and Urbanization: In order to meet the demands of businesses, housing needs, and infrastructure development, there is a constant need for residential and commercial properties as populations and urban areas rise.

    Low Interest Rates: By making borrowing more accessible, low interest rates encourage both individuals and businesses to make real estate investments. Reduced borrowing costs result in reduced mortgage rates, opening up homeownership and encouraging real estate investments and purchases.

    Economic Growth: A thriving real estate market is a result of positive economic growth indicators like GDP growth, rising incomes, and low unemployment rates. Robust economies establish advantageous circumstances for real estate investment, growth, and customer assurance in the housing sector. Job growth and income increases: As more people look for rental or purchase close to their places of employment, housing demand is influenced by these factors. The housing market is driven by employment opportunities and rising salaries, which in turn drive home buying, renting, and property investment activity. Infrastructure Development: The demand and property values in the surrounding areas can be greatly impacted by investments made in infrastructure projects such as public facilities, utilities, and transportation networks. Accessibility, convenience, and beauty are all improved by improved infrastructure, which encourages real estate development and investment.

    Government Policies and Incentives: Tax breaks, subsidies, and first-time homebuyer programs are a few examples of government policies and incentives that can boost the real estate market and homeownership. Market stability and growth are facilitated by regulatory actions that promote affordable housing, urban redevelopment, and real estate development.

    Foreign Investment: Foreign capital can be used to stimulate demand, diversify property portfolios, and pump capital into the real estate market through direct property purchases or real estate investment funds. Foreign investors are drawn to the local real estate markets by favorable exchange rates, stable political environments, and appealing returns.

    Demographic Trends: Shifting demographic trends affect housing preferences and demand for various property kinds. These trends include aging populations, household formation rates, and migration patterns. It is easier for real estate developers and investors to match supply with changing market demand when they are aware of demographic fluctuations.

    Technological Innovations: New technologies that are revolutionizing the marketing, transactions, and management of properties include digital platforms, data analytics, and virtual reality applications. In the real estate industry, technology adoption increases market reach, boosts customer experiences, and increases operational efficiency.

    Environmental Sustainability: Decisions about real estate development and investment are influenced by the growing knowledge of environmental sustainability and green building techniques. Market activity in environmentally aware real estate categories is driven by demand for eco-friendly neighborhoods, sustainable design elements, and energy-efficient buildings.

  16. T

    Real Estate Assessments

    • data.dumfriesva.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Jun 8, 2023
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    Prince William County (2023). Real Estate Assessments [Dataset]. https://data.dumfriesva.gov/Government/Real-Estate-Assessments/rdxq-jfzf
    Explore at:
    application/rssxml, json, xml, tsv, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    Prince William County
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This data set includes real estate information for all real estate property located in the Town of Dumfries. This data will be updated annually in March.

  17. d

    Louisville Metro KY - Landbank Sales Historical Data

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated Jul 30, 2025
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    Louisville/Jefferson County Information Consortium (2025). Louisville Metro KY - Landbank Sales Historical Data [Dataset]. https://catalog.data.gov/dataset/louisville-metro-ky-landbank-sales-historical-data
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Louisville/Jefferson County Information Consortium
    Area covered
    Louisville, Kentucky
    Description

    Develop Louisville Focuses on the full range of land development activities, including planning and design, vacant property initiatives, advanced planning, housing & community development programs, permits and licensing, land acquisition, public art and clean and green sustainable development partnerships.Data Dictionary:“LBA” is the abbreviation for the Louisville and Jefferson County LBA Authority, Inc."Parcel ID" is an identification code assigned to a piece of real estate by the Jefferson County Property Valuation Administration. The Parcel ID is used for record keeping and tax purposes.“IMPROV” stands for whether or not the real estate parcel had an “improvement” (i.e., a structure) situated on it at the time it was sold. “1” indicates that a structure existed when the parcel was sold and “0” indicates that the parcel was an empty, piece of land.“APPLICANT” is the individual(s) or active business entity that submitted an Application to Purchase the real estate parcel and whose application was presented to and approved by the LBA’s Board of Directors. The Board of Directors must approve each application before a transfer deed is officially recorded with the Office of the County Clerk of Jefferson County, Kentucky.“SALE DATE” is the date that the Applicant signed the transfer deed for the respective real estate parcel.“SALE AMOUNT” is the amount that the Applicant paid to purchase the respective real estate parcel.“SALE PROGRAM” is the LBA’s disposition program that the Applicant participated in to acquire the real estate parcel.The Office of Community Development defines each “Sale Program” as follows:Budget Rate (“Budget Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land.Cut It Keep It - Applicant requested to maintain the empty piece of land situated on the same block as a real estate parcel owned by the Applicant. Applicant must retain ownership of the lot for three (3) years before the Applicant can sell it.Demo for Deed (“Last Look – Demo for Deed”) – Applicant requested to demolish the structure situated on the real estate parcel and retain the land for a future use.Flex Rate (“Flex Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land but did not have proof of funding or a timeline as to when the project would be completed.Metro Redevelopment – The real estate parcel was part of a redevelopment project being considered by Metro Government.Minimum Pricing Policy – The pricing policy that was approved by the LBA’s Board of Directors and in effect as of the real estate parcel’s sale date.RFP (“Request for Proposals”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Save the Structure (“Last Look – Save the Structure”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Side Yard – The Applicant requested to acquire the LBA’s adjoining piece of land to make the Applicant’s occupied, real estate parcel larger and more valuable.SOI (“Solicitation of Interest”) – The LBA assembled two (2) or more real estate parcels and the Applicant submitted a redevelopment project for the subject parcels.For more information about each of the current disposition programs that the LBA offers, please refer to the following website pages:https://louisvilleky.gov/government/community-development/vacant-lot-sales-programshttps://louisvilleky.gov/government/community-development/vacant-structures-saleContact:Connie Suttonconnie.sutton@louisvilleky.gov

  18. Federal Real Property Profile Summary Data by Installation Name

    • catalog.data.gov
    Updated May 6, 2025
    + more versions
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    General Services Administration (2025). Federal Real Property Profile Summary Data by Installation Name [Dataset]. https://catalog.data.gov/dataset/federal-real-property-profile-summary-data-by-installation-name-c9d9e
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset provided by
    General Services Administrationhttp://www.gsa.gov/
    Description

    A XLSX export of summarized data for all DoD and specified civilian agency assets contained within the FRPP, a government-wide database of executive branch agency federal real property assets, that cannot be made public at a detailed level. Data for these records is summarized at the Installation Level.

  19. V

    Property Sales

    • data.virginia.gov
    • gis.data.vbgov.com
    • +1more
    Updated Sep 29, 2025
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    Virginia Beach (2025). Property Sales [Dataset]. https://data.virginia.gov/dataset/property-sales
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    txt, zip, gdb, geojson, gpkg, arcgis geoservices rest api, csv, xlsx, kml, htmlAvailable download formats
    Dataset updated
    Sep 29, 2025
    Dataset provided by
    VBCGIS_OrgAcct1
    Authors
    Virginia Beach
    Description

    This dataset has been published by the Office of the Real Estate Assessor of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

  20. D

    Real Estate Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Real Estate Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-real-estate-services-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Estate Services Market Outlook



    The global real estate services market size is projected to reach approximately USD 15.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from USD 9.5 trillion in 2023. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and growing demand for both residential and commercial properties. The market is benefiting significantly from technological advancements that streamline property management and investment processes, making them more accessible and efficient for a wider range of end-users.



    One of the primary growth factors for the real estate services market is the rapid urbanization occurring across the globe. As more people migrate to urban centers in search of better employment opportunities and enhanced quality of life, the demand for residential as well as commercial properties is increasing. This urban shift is not only limited to developed countries but is also highly pronounced in developing nations, where burgeoning middle-class populations are driving demand for modern housing and commercial spaces. Additionally, government initiatives focused on urban development and smart cities are further propelling the growth of the real estate services market.



    Rising disposable incomes and changing lifestyle preferences are also contributing to the growth of the real estate services market. As individuals and families attain higher income levels, their purchasing power increases, enabling them to invest in more luxurious and better-located properties. This trend is especially evident in emerging economies, where economic growth is opening up new opportunities for property investment. Furthermore, the increased availability of mortgage options and favorable interest rates are making it easier for people to invest in both residential and commercial real estate, thus driving market expansion.



    Technological advancements are another significant growth factor in the real estate services market. The integration of advanced technologies such as artificial intelligence, big data analytics, and blockchain in real estate transactions and property management is revolutionizing the industry. These technologies are enhancing the efficiency, transparency, and accessibility of real estate services. For instance, virtual tours and augmented reality are becoming popular tools for property viewing, making it easier for buyers and investors to make informed decisions. Additionally, online platforms are simplifying the property search and transaction process, thereby expanding the market's reach to a broader audience.



    The role of IT in Real Estate has become increasingly significant as the industry embraces digital transformation. IT solutions are being leveraged to enhance operational efficiency, improve customer experiences, and provide data-driven insights. For instance, property management software and customer relationship management (CRM) systems are streamlining processes and enabling real estate firms to manage their portfolios more effectively. Additionally, the use of data analytics is helping firms to better understand market trends, customer preferences, and investment opportunities. As technology continues to evolve, the integration of IT in Real Estate is expected to drive further innovation and growth in the sector.



    From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the real estate services market. The region's rapid economic development, coupled with increasing urbanization and industrialization, is driving demand for both residential and commercial properties. Countries such as China, India, and Southeast Asian nations are experiencing significant investments in real estate, supported by favorable government policies and a thriving construction sector. North America and Europe are also key players in the market, with steady demand for real estate services driven by economic stability and robust real estate infrastructure.



    Service Type Analysis



    The real estate services market is broadly segmented into various service types, including property management, brokerage services, real estate investment, valuation services, and others. Property management services are crucial for maintaining and enhancing the value of real estate assets. These services encompass a range of activities such as rent collection, maintenance, tenant management, and compliance with regulations. The demand for p

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Close
Cite
data.ct.gov (2025). Real Estate Sales 2001-2023 GL [Dataset]. https://catalog.data.gov/dataset/real-estate-sales-2001-2018

Real Estate Sales 2001-2023 GL

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 14, 2025
Dataset provided by
data.ct.gov
Description

The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

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