53 datasets found
  1. F

    Households; Owner-Occupied Real Estate at Market Value, Transactions

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Households; Owner-Occupied Real Estate at Market Value, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FU155035013A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Households; Owner-Occupied Real Estate at Market Value, Transactions (BOGZ1FU155035013A) from 1946 to 2024 about market value, transactions, real estate, households, and USA.

  2. F

    Equity Real Estate Investment Trusts; Total Financial Assets, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Equity Real Estate Investment Trusts; Total Financial Assets, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL644090085Q
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Equity Real Estate Investment Trusts; Total Financial Assets, Level (BOGZ1FL644090085Q) from Q4 1945 to Q4 2024 about ereit, equity, assets, and USA.

  3. T

    United States - Real Estate Loans: Commercial Real Estate Loans, All...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 20, 2023
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    TRADING ECONOMICS (2023). United States - Real Estate Loans: Commercial Real Estate Loans, All Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/real-estate-loans-commercial-real-estate-loans-all-commercial-banks-bil-of-u-s-dollar-fed-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 20, 2023
    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
    United States
    Description

    United States - Real Estate Loans: Commercial Real Estate Loans, All Commercial Banks was 3014.53470 Bil. of U.S. $ in March of 2025, according to the United States Federal Reserve. Historically, United States - Real Estate Loans: Commercial Real Estate Loans, All Commercial Banks reached a record high of 3034.70230 in February of 2025 and a record low of 998.56110 in June of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Estate Loans: Commercial Real Estate Loans, All Commercial Banks - last updated from the United States Federal Reserve on March of 2025.

  4. F

    Contributions to the Cleveland Financial Stress Index: Commercial Real...

    • fred.stlouisfed.org
    json
    Updated May 6, 2016
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    (2016). Contributions to the Cleveland Financial Stress Index: Commercial Real Estate Spread (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/CRESD678FRBCLE
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    jsonAvailable download formats
    Dataset updated
    May 6, 2016
    License

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

    Description

    Graph and download economic data for Contributions to the Cleveland Financial Stress Index: Commercial Real Estate Spread (DISCONTINUED) (CRESD678FRBCLE) from 1991-09-25 to 2016-05-05 about FSI, contributions, spread, commercial, and USA.

  5. Annual home price appreciation in the U.S. 2024, by state

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 28, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the third quarter of 2024. The District of Columbia was the only exception, with a decline of three percent. The annual appreciation for single-family housing in the U.S. was 0.71 percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded 10 percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, the median sales price of a single-family home exceeded 413,000 U.S. dollars, up from 277,000 U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as 2.3 percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded 20 percent in 2024.

  6. F

    Charge-Off Rate on Loans Secured by Real Estate, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2025
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    (2025). Charge-Off Rate on Loans Secured by Real Estate, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/CORSREACBS
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    jsonAvailable download formats
    Dataset updated
    Feb 18, 2025
    License

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

    Description

    Graph and download economic data for Charge-Off Rate on Loans Secured by Real Estate, All Commercial Banks (CORSREACBS) from Q1 1985 to Q4 2024 about charge-offs, real estate, commercial, securities, loans, banks, depository institutions, rate, and USA.

  7. General Services Administration Owned Properties

    • gisnation-sdi.hub.arcgis.com
    • hub.arcgis.com
    Updated May 24, 2023
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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
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    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

  8. Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 30, 2025
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    Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the first quarter of 2024, the 30-year fixed rate declined slightly, to 6.75 percent. Despite the cut, this was about 3.9 percentage points higher than the same quarter in 2021. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about 88 percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between 2.28 and 6.11 percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between 3.08 and 6.81 percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

  9. Federal Housing Administration Single-Family – Properties for Sale

    • hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    Updated Nov 30, 2018
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    Esri U.S. Federal Datasets (2018). Federal Housing Administration Single-Family – Properties for Sale [Dataset]. https://hub.arcgis.com/datasets/ae0e6490481e4ee1a236e718fb600471
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    Dataset updated
    Nov 30, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Federal Housing Administration Single-Family – Properties for SaleThis National Geospatial Data Asset (NGDA) dataset, shared as a Federal Housing Administration feature layer, displays single-family real estate owned (REO) properties that are up for sale in the United States. Per Housing and Urban Development (HUD), "The U.S. Department of Housing and Urban Development's Real Estate Owned (REO) properties are a result of the Federal Housing Administration (FHA) paying a claim to a lending institution on a foreclosed property which was financed with an FHA Insured Mortgage and the lender transferring ownership of the property to HUD. Typically, title to the property is not transferred (or the claim paid) until the previous owner is evicted from the property. Normally, after the home is transferred to HUD, the property will go up for auction on the HUD Home store website."FHA Single Family Property, Case Number:137-427167Data currency: current federal service (FHA Single Family REO Properties For Sale)NGDAID: 128 (FHA Single Family REO Properties for Sale - National Geospatial Data Asset (NGDA))For more information: The Federal Housing Administration (FHA); FHA Single Family HousingFor 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

  10. F

    Real Estate Held by the Bottom 50% (1st to 50th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
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    (2025). Real Estate Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50083
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    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

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

    Description

    Graph and download economic data for Real Estate Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50083) from Q3 1989 to Q4 2024 about wealth, percentile, real estate, and USA.

  11. FHA Single Family REO Properties For Sale

    • catalog.data.gov
    • datasets.ai
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). FHA Single Family REO Properties For Sale [Dataset]. https://catalog.data.gov/dataset/fha-single-family-reo-properties-for-sale
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This service provides data on Federal Housing Administration (FHA) single family, Real Estate Owned (REO) properties that are up for sale. The U.S. Department of Housing and Urban Development's Real Estate Owned (REO) properties are the result of the Federal Housing Administration (FHA) paying a claim to a lending institution on a foreclosed property which was financed with an FHA Insured Mortgage, and the lender has transferred ownership of the property of to HUD. Typically, title to the property is not transferred (or the claim paid) until the previous owner is evicted from the property. Normally, after the home is transferred to HUD, the property will go up for auction on the HUD Home store website.

  12. F

    Real Estate Loans: Commercial Real Estate Loans, Large Domestically...

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
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    (2025). Real Estate Loans: Commercial Real Estate Loans, Large Domestically Chartered Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/CRELCBW027SBOG
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    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

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

    Description

    Graph and download economic data for Real Estate Loans: Commercial Real Estate Loans, Large Domestically Chartered Commercial Banks (CRELCBW027SBOG) from 1996-10-02 to 2025-03-12 about large, real estate, commercial, domestic, loans, banks, depository institutions, and USA.

  13. F

    All Employees: Financial Activities: Real Estate in San Diego-Chula...

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
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    (2025). All Employees: Financial Activities: Real Estate in San Diego-Chula Vista-Carlsbad, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU06417405553100001
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    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

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

    Area covered
    Chula Vista, Carlsbad, California, San Diego
    Description

    Graph and download economic data for All Employees: Financial Activities: Real Estate in San Diego-Chula Vista-Carlsbad, CA (MSA) (SMU06417405553100001) from Jan 1990 to Jan 2025 about San Diego, real estate, CA, employment, and USA.

  14. Ownership rate of residential property in Germany 2013, by federal state

    • statista.com
    Updated Jul 1, 2016
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    Statista (2016). Ownership rate of residential property in Germany 2013, by federal state [Dataset]. https://www.statista.com/statistics/625817/residential-property-ownership-rate-by-state-germany-europe/
    Explore at:
    Dataset updated
    Jul 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    Germany
    Description

    This statistic illustrates the ownership rate of residential property in Germany as of 2013, by federal state. It can be seen that the largest ownership rate in Germany was found in Saarland at that time, with property ownership standing at 63 percent.

  15. Federal Housing Administration Insured Single Family Properties

    • hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    • +1more
    Updated Nov 16, 2018
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    Esri U.S. Federal Datasets (2018). Federal Housing Administration Insured Single Family Properties [Dataset]. https://hub.arcgis.com/datasets/7a5da489b78e45da82e3d39f27920be5
    Explore at:
    Dataset updated
    Nov 16, 2018
    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

    Federal Housing Administration Insured Single Family PropertiesThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays the outstanding balance of all active mortgage loans aggregated to the 2010 U.S. Census Tract geography. Per HUD, "The Federal Housing Administration, generally known as FHA, provides mortgage insurance on loans made by FHA-approved lenders throughout the United States and its territories. FHA insures mortgages on single family and multifamily homes including manufactured homes and hospitals. It is the largest insurer of mortgages in the world."Census Tracts 4074.04 (Delware County, PA) & 7027 (Burlington County, NJ)Data currency: current federal service (FHA IIF TRACT)NGDAID: 124 (FHA Insured Single Family Properties In Force by Census Tract - National Geospatial Data Asset (NGDA))OGC API Features Link: Not AvailableFor more information, please visit: The Federal Housing Administration (FHA); FHA Single FamilyFor 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

  16. Property Points

    • anrgeodata.vermont.gov
    Updated Jul 6, 2021
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    PSPC Geomatics ArcGIS Online (2021). Property Points [Dataset]. https://anrgeodata.vermont.gov/datasets/PWGSC-Geomatics::dfrp-gov-canada-properties/explore?layer=2&showTable=true
    Explore at:
    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Authors
    PSPC Geomatics ArcGIS Online
    Area covered
    Description

    Points representing properties of Government of Canada Real property holdings. This Feature Layer is not an official source and should be used for reference purposes only. The data is updated from time to time and therefore may not represent reality. Source is Directory of Federal Real Property - Open Datasets | Treasury Board of Canada Secretariat (tbs-sct.gc.ca)

  17. F

    Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland),...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2025
    + more versions
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    (2025). Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets [Dataset]. https://fred.stlouisfed.org/series/DRCRELEXFOBS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2025
    License

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

    Description

    Graph and download economic data for Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets (DRCRELEXFOBS) from Q1 1991 to Q4 2024 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, assets, loans, banks, depository institutions, rate, and USA.

  18. Typical price of single-family homes in the U.S. 2020-2024, by state

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 30, 2025
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    Statista (2025). Typical price of single-family homes in the U.S. 2020-2024, by state [Dataset]. https://www.statista.com/statistics/1041708/typical-home-value-single-family-homes-usa-by-state/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding 981,000 U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under 167,000 U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded nine percent in 2023.

  19. Property Boundaries

    • anrgeodata.vermont.gov
    Updated Jul 6, 2021
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    PSPC Geomatics ArcGIS Online (2021). Property Boundaries [Dataset]. https://anrgeodata.vermont.gov/datasets/PWGSC-Geomatics::dfrp-gov-canada-properties?layer=4
    Explore at:
    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Authors
    PSPC Geomatics ArcGIS Online
    Area covered
    Description

    Polygons representing property boundaries of Government of Canada Real property holdings. This Feature Layer is not an official source and should be used for reference purposes only. The data is updated from time to time and therefore may not represent reality. Source is Directory of Federal Real Property - Open Datasets | Treasury Board of Canada Secretariat (tbs-sct.gc.ca)

  20. Building Footprints

    • anrgeodata.vermont.gov
    Updated Jul 6, 2021
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    PSPC Geomatics ArcGIS Online (2021). Building Footprints [Dataset]. https://anrgeodata.vermont.gov/datasets/PWGSC-Geomatics::dfrp-gov-canada-properties?layer=3
    Explore at:
    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Authors
    PSPC Geomatics ArcGIS Online
    Area covered
    Description

    Polygons representing building footprints of Government of Canada Real property holdings. This Feature Layer is not an official source and should be used for reference purposes only. The data is updated from time to time and therefore may not represent reality. Source is Directory of Federal Real Property - Open Datasets | Treasury Board of Canada Secretariat (tbs-sct.gc.ca)

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(2025). Households; Owner-Occupied Real Estate at Market Value, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FU155035013A

Households; Owner-Occupied Real Estate at Market Value, Transactions

BOGZ1FU155035013A

Explore at:
jsonAvailable download formats
Dataset updated
Mar 13, 2025
License

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

Description

Graph and download economic data for Households; Owner-Occupied Real Estate at Market Value, Transactions (BOGZ1FU155035013A) from 1946 to 2024 about market value, transactions, real estate, households, and USA.

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