100+ datasets found
  1. d

    NORA Sold Properties

    • catalog.data.gov
    • data.nola.gov
    • +1more
    Updated Nov 8, 2025
    + more versions
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    data.nola.gov (2025). NORA Sold Properties [Dataset]. https://catalog.data.gov/dataset/nora-sold-properties
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    Dataset updated
    Nov 8, 2025
    Dataset provided by
    data.nola.gov
    Description

    This data set is a listing of all property sales by NORA through the following disposition channels. - Auction: Properties put up for auction and sold to the highest bidder. - Development: Properties offered to development partners at a discounted rate to support the development of affordable housing. - Lot Next Door: Properties sold to adjacent parcel owners, with discount opportunities for eligible participants. - Alternative Land Use: Properties sold for development of green space and community gardens. Note: this dataset contains duplicate addresses, which likely represent reversions or quitclaims that NORA sold again.

  2. C

    Allegheny County Property Sale Transactions

    • data.wprdc.org
    • s.cnmilf.com
    • +3more
    csv, html
    Updated Dec 2, 2025
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    Allegheny County (2025). Allegheny County Property Sale Transactions [Dataset]. https://data.wprdc.org/dataset/real-estate-sales
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    csv, htmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Allegheny County
    License

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

    Area covered
    Allegheny County
    Description

    This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

    Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

    Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

  3. Real estate floor area sold in China 2014-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Real estate floor area sold in China 2014-2024 [Dataset]. https://www.statista.com/statistics/1123486/expanse-of-real-estate-sold-in-china/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the floor space of real estate sold in China amounted to around *** million square meters. The sales volume of real estate has dropped considerably in recent years.

  4. d

    Real Estate Transaction Information - Sales Cases

    • data.gov.tw
    csv
    Updated Feb 9, 2015
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    Land Administraion Department, New Taipei City Government (2015). Real Estate Transaction Information - Sales Cases [Dataset]. https://data.gov.tw/en/datasets/139700
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    csvAvailable download formats
    Dataset updated
    Feb 9, 2015
    Dataset authored and provided by
    Land Administraion Department, New Taipei City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description
    1. Real estate transaction information includes location, area, total price, etc. 2. This dataset is updated every 10 days.
  5. a

    Comparable Sales for properties in the United States

    • attomdata.com
    attom cloud +1
    Updated Apr 3, 2021
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    ATTOM Data Solutions (2021). Comparable Sales for properties in the United States [Dataset]. https://www.attomdata.com/data/property-valuation-data/comparable-sales/
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    attom cloud, property navigatorAvailable download formats
    Dataset updated
    Apr 3, 2021
    Dataset authored and provided by
    ATTOM Data Solutions
    Description

    Provides a selection of recently sold homes that have similar characteristics, location, age, etc. to a subject property. Used for determining the value of a property in relation to similar properties that have recently sold in the same area.

  6. a

    Louisville Metro KY - Landbank Sales Historical Data

    • hub.arcgis.com
    • s.cnmilf.com
    • +3more
    Updated May 8, 2022
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    Louisville/Jefferson County Information Consortium (2022). Louisville Metro KY - Landbank Sales Historical Data [Dataset]. https://hub.arcgis.com/datasets/603f01533f8c402a8e9efe4986b53e62
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    Dataset updated
    May 8, 2022
    Dataset authored and provided by
    Louisville/Jefferson County Information Consortium
    License

    https://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-licensehttps://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-license

    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

  7. Distribution of land in U.S. farms 2024, by economic sales class

    • statista.com
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    Statista, Distribution of land in U.S. farms 2024, by economic sales class [Dataset]. https://www.statista.com/statistics/196110/us-distribution-of-land-in-farms-by-economic-sales-class/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    This statistic shows the distribution of land in U.S. farms in 2023, by economic sales class. In 2024, 11.4 percent of U.S. farmland belonged to farms categorized in the 100,000 to 249,999 U.S. dollars sales class.

  8. c

    City Owned Parcels: Live

    • data.cityofrochester.gov
    • hub.arcgis.com
    Updated Mar 9, 2020
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    Open_Data_Admin (2020). City Owned Parcels: Live [Dataset]. https://data.cityofrochester.gov/datasets/city-owned-parcels-live/geoservice
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    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    Open_Data_Admin
    Area covered
    Description

    Please note: this data is live (updated nightly) to reflect the latest changes in the City's systems of record.Overview of the Data:This dataset is a polygon feature layer with the boundaries of all tax parcels owned by the City of Rochester. This includes all public parks, and municipal buildings, as well as vacant land and structures currently owned by the City. The data includes fields with features about each property including property type, date of sale, land value, dimensions, and more.About City Owned Properties:The City's real estate inventory is managed by the Division of Real Estate in the Department of Neighborhood and Business Development. Properties like municipal buildings and parks are expected to be in long term ownership of the City. Properties such as vacant land and vacant structures are ones the City is actively seeking to reposition for redevelopment to increase the City's tax base and economic activity. The City acquires many of these properties through the tax foreclosure auction process when no private entity bids the minimum bid. Some of these properties stay in the City's ownership for years, while others are quickly sold to development partners. For more information please visit the City's webpage for the Division of Real Estate: https://www.cityofrochester.gov/realestate/Data Dictionary: SBL: The twenty-digit unique identifier assigned to a tax parcel. PRINTKEY: A unique identifier for a tax parcel, typically in the format of “Tax map section – Block – Lot". Street Number: The street number where the tax parcel is located. Street Name: The street name where the tax parcel is located. NAME: The street number and street name for the tax parcel. City: The city where the tax parcel is located. Property Class Code: The standardized code to identify the type and/or use of the tax parcel. For a full list of codes, view the NYS Real Property System (RPS) property classification codes guide. Property Class: The name of the property class associated with the property class code. Property Type: The type of property associated with the property class code. There are nine different types of property according to RPS: 100: Agricultural 200: Residential 300: Vacant Land 400: Commercial 500: Recreation & Entertainment 600: Community Services 700: Industrial 800: Public Services 900: Wild, forested, conservation lands and public parks First Owner Name: The name of the property owner of the vacant tax parcel. If there are multiple owners, then the first one is displayed. Postal Address: The USPS postal address for the vacant landowner. Postal City: The USPS postal city, state, and zip code for the vacant landowner. Lot Frontage: The length (in feet) of how wide the lot is across the street. Lot Depth: The length (in feet) of how far the lot goes back from the street. Stated Area: The area of the vacant tax parcel. Current Land Value: The current value (in USD) of the tax parcel. Current Total Assessed Value: The current value (in USD) assigned by a tax assessor, which takes into consideration both the land value, buildings on the land, etc. Current Taxable Value: The amount (in USD) of the assessed value that can be taxed. Tentative Land Value: The current value (in USD) of the land on the tax parcel, subject to change based on appeals, reassessments, and public review. Tentative Total Assessed Value: The preliminary estimate (in USD) of the tax parcel’s assessed value, which includes tentative land value and tentative improvement value. Tentative Taxable Value: The preliminary estimate (in USD) of the tax parcel’s value used to calculate property taxes. Sale Date: The date (MM/DD/YYYY) of when the vacant tax parcel was sold. Sale Price: The price (in USD) of what the vacant tax parcel was sold for. Book: The record book that the property deed or sale is recorded in. Page: The page in the record book where the property deed or sale is recorded in. Deed Type: The type of deed associated with the vacant tax parcel sale. RESCOM: Notes whether the vacant tax parcel is zoned for residential or commercial use. R: Residential C: Commercial BISZONING: Notes the zoning district the vacant tax parcel is in. For more information on zoning, visit the City’s Zoning District map. OWNERSHIPCODE: Code to note type of ownership (if applicable). Number of Residential Units: Notes how many residential units are available on the tax parcel (if applicable). LOW_STREET_NUM: The street number of the vacant tax parcel. HIGH_STREET_NUM: The street number of the vacant tax parcel. GISEXTDATE: The date and time when the data was last updated. SALE_DATE_datefield: The recorded date of sale of the vacant tax parcel (if available). Source: This data comes from the department of Neighborhood and Business Development, Bureau of Real Estate.

  9. F

    Farm Business (Included in Nonfinancial Corporate and Noncorporate Business...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Farm Business (Included in Nonfinancial Corporate and Noncorporate Business Sectors); Vacant Land Sales, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FA135010103A
    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 Farm Business (Included in Nonfinancial Corporate and Noncorporate Business Sectors); Vacant Land Sales, Transactions (BOGZ1FA135010103A) from 1946 to 2024 about land, vacancy, agriculture, transactions, business, sales, and USA.

  10. d

    The list of land sales for section acquisition and development has been...

    • data.gov.tw
    csv
    Updated Oct 7, 2025
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    Land Administraion Department, New Taipei City Government (2025). The list of land sales for section acquisition and development has been released. [Dataset]. https://data.gov.tw/en/datasets/123884
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    csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Land Administraion Department, New Taipei City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The section acquisition and development project has already sold the list of land.

  11. d

    The process of buying and selling land and buildings

    • data.gov.tw
    csv
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    Revenue Service Bureau,Yunlin County, The process of buying and selling land and buildings [Dataset]. https://data.gov.tw/en/datasets/30552
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Revenue Service Bureau,Yunlin County
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Real estate buying and selling process............

  12. Property Sale Data

    • kaggle.com
    zip
    Updated Apr 16, 2024
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    Yamin Hossain (2024). Property Sale Data [Dataset]. https://www.kaggle.com/datasets/yaminh/property-sale-data/code
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    zip(46373 bytes)Available download formats
    Dataset updated
    Apr 16, 2024
    Authors
    Yamin Hossain
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Here's an explanation of each column:

    1. MSSubClass: The building class. This column represents the type of dwelling involved in the sale.

    2. MSZoning: The general zoning classification of the sale. This column indicates the general zoning classification of the property.

    3. LotArea: Lot size in square feet. This column represents the area of the land associated with the property.

    4. LotConfig: Lot configuration. This column describes the shape of the property and how it is situated.

    5. BldgType: Type of dwelling. This column indicates the type of building involved in the sale, such as single-family detached, duplex, etc.

    6. OverallCond: Overall condition rating. This column represents the overall condition of the property, rated on a scale from 1 to 10.

    7. YearBuilt: Original construction date. This column indicates the year when the property was originally built.

    8. YearRemodAdd: Remodel date. This column represents the year when the property was remodeled or renovated.

    9. Exterior1st: Exterior covering on the house. This column describes the primary exterior covering material of the property.

    10. BsmtFinSF2: Type 2 finished square feet. This column represents the area of the basement that is finished with a secondary type of finishing material.

    11. TotalBsmtSF: Total square feet of basement area. This column indicates the total area of the basement in square feet.

    12. SalePrice: Sale price of the property. This column represents the sale price of the property in dollars.

    These columns provide various attributes and characteristics of the properties in the dataset, which can be used to predict the sale price of houses.

  13. e

    Purchase cases, Area sold, Purchase amount, Average purchase value for...

    • data.europa.eu
    unknown
    Updated Dec 28, 2022
    + more versions
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    (2022). Purchase cases, Area sold, Purchase amount, Average purchase value for building land: Germany, years, land size classes, type of land [Dataset]. https://data.europa.eu/data/datasets/30303036-3135-4031-312d-303031320000
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Dec 28, 2022
    Area covered
    Germany
    Description

    Purchase cases, Area sold, Purchase amount, Average purchase value for building land: Germany, years, land size classes, type of land

  14. T

    United States - Producer Price Index by Industry: Offices of Real Estate...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 6, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Sales and Leases Including Land Sales and Leases [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-industry-offices-of-real-estate-agents-and-brokers-real-estate-brokerage-nonresidential-property-sales-and-leases-including-land-sales-and-leases-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Sales and Leases Including Land Sales and Leases was 140.20800 Index Dec 2006=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Sales and Leases Including Land Sales and Leases reached a record high of 146.58700 in December of 2022 and a record low of 96.30000 in May of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Sales and Leases Including Land Sales and Leases - last updated from the United States Federal Reserve on November of 2025.

  15. d

    NSW land value and property sales web map

    • data.gov.au
    Updated Sep 14, 2021
    + more versions
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    Spatial Services (DFSI) (2021). NSW land value and property sales web map [Dataset]. https://data.gov.au/dataset/ds-nsw-27946643-c335-4f81-a864-a09410cb87b7?q=
    Explore at:
    Dataset updated
    Sep 14, 2021
    Dataset provided by
    Spatial Services (DFSI)
    Area covered
    New South Wales
    Description

    All datasets except NSW land values and property sales information in this web maps are maintained by Spatial Service. Property NSW provides Land value and property Sales information. Update …Show full descriptionAll datasets except NSW land values and property sales information in this web maps are maintained by Spatial Service. Property NSW provides Land value and property Sales information. Update frequency for each dataset varies depending on the dataset. All these datasets are used in the land values and property sales map web map application. Please see individual metadata for each dataset below. Land value and property sales map can be found HERE.For more information regarding the Land valuation and Property Sales information data please contact : valuationenquiry@property.nsw.gov.auFor all other datasets, please contact ss-sds@customerservice.nsw.gov.au

  16. Property Sales Across Jasper County, Mississippi

    • ownwell.com
    Updated Mar 1, 2025
    + more versions
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    Ownwell (2025). Property Sales Across Jasper County, Mississippi [Dataset]. https://www.ownwell.com/trends/mississippi/jasper-county
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    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Ownwell
    License

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

    Area covered
    Mississippi, Jasper County
    Description

    The table below showcases the total number of homes sold for each city in Jasper County, Mississippi. It's important to understand that the number of homes sold can vary greatly and can change yearly.

  17. e

    Sales of agricultural land: Germany, years, soil types, size classes of the...

    • data.europa.eu
    atom feed
    Updated Aug 30, 2023
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    (2023). Sales of agricultural land: Germany, years, soil types, size classes of the area sold [Dataset]. https://data.europa.eu/data/datasets/30303036-3135-4032-312d-303030310002
    Explore at:
    atom feedAvailable download formats
    Dataset updated
    Aug 30, 2023
    Area covered
    Germany
    Description

    Sales of agricultural land: Germany, years, soil types, size classes of the area sold

  18. T

    Land Securities | LAND - Cost Of Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    + more versions
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    TRADING ECONOMICS (2025). Land Securities | LAND - Cost Of Sales [Dataset]. https://tradingeconomics.com/land:ln:cost-of-sales
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Nov 29, 2025
    Area covered
    United Kingdom
    Description

    Land Securities reported GBP219M in Cost of Sales for its fiscal semester ending in June of 2025. Data for Land Securities | LAND - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last November in 2025.

  19. Recommendations to buy, hold or sell an industrial property in the U.S....

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Recommendations to buy, hold or sell an industrial property in the U.S. 2024, by city [Dataset]. https://www.statista.com/statistics/553012/usa-industrial-property-recommendations-by-city/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The recommendations to buy industrial property in leading industrial real estate locations in the United States in 2024 were highest in Westchester, NY/Fairfield, CT by ** percent of the industry expert respondents. On the other hand, ** percent of respondents recommended holding onto the industrial property in Northern New Jersey. The highest recommendations to sell industrial property were in Albuquerque by ********** of respondents.

  20. F

    Federal Government; Net Sales of Land, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Federal Government; Net Sales of Land, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL315010103A
    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 Federal Government; Net Sales of Land, Level (BOGZ1FL315010103A) from 1945 to 2024 about land, Net, federal, sales, and USA.

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data.nola.gov (2025). NORA Sold Properties [Dataset]. https://catalog.data.gov/dataset/nora-sold-properties

NORA Sold Properties

Explore at:
Dataset updated
Nov 8, 2025
Dataset provided by
data.nola.gov
Description

This data set is a listing of all property sales by NORA through the following disposition channels. - Auction: Properties put up for auction and sold to the highest bidder. - Development: Properties offered to development partners at a discounted rate to support the development of affordable housing. - Lot Next Door: Properties sold to adjacent parcel owners, with discount opportunities for eligible participants. - Alternative Land Use: Properties sold for development of green space and community gardens. Note: this dataset contains duplicate addresses, which likely represent reversions or quitclaims that NORA sold again.

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