Real Property parcel characteristics for Allegheny County, PA. Includes information pertaining to land, values, sales, abatements, and building characteristics (if residential) by parcel. Disclaimer: Parcel information is provided from the Office of Property Assessments in Allegheny County. Content and availability are subject to change. Please review the Data Dictionary for details on included fields before each use. Property characteristics and values change due to a variety of factors such as court rulings, municipality permit processing and subdivision plans. Consequently the assessment system parcel data is continually changing. Please take the dynamic nature of this information into consideration before using it. Excludes name and contact information for property owners, as required by Ordinance 3478-07.

Orientation

The first two items listed below are slightly different versions of the most current property-assessments records. The first is optimized for faster download but has 1) a few fields (including PROPERTY_ZIP and MUNICODE) as integers instead of strings and 2) the date columns in two different formats. The second item downloads more slowly, is optimized for API queries, and has all dates in a standard YYYY-MM-DD format. Further down you can find useful links, documentation, and then archived versions of property assessments files.

The MOD-IV system provides for the uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes, and rules promulgated by the Director of the NJ Division of Taxation. MOD-IV maintains and updates all assessment records, and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official Tax Map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the NJ Office of Information Technology (NJOIT) Taxation Team which collects source information from municipal tax assessors and creates the statewide table. This table was subsequently processed for ease of use with NJ parcel spatial data.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

Update Frequency: Updated approximately 3 times per year between mid-April and mid-October

Updated 5/25/2025.

This data file represents taxkeys that have been dropped from and added to the Assessor’s Office property records. All taxkeys associated with one com/div are identified by Com/Div Number. Legal descriptions are associated with each taxkey.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

To access the Texas Unclaimed Property dataset, please send a request to up.dbrequests@cpa.texas.gov. With each request, please provide your name, company name, mailing address, phone number and Texas Private Investigators license number (if applicable). PLEASE NOTE: You can search our dataset at ClaimItTexas.org

This dataset represents the location of listed buildings in Nottingham City and contains some textual information including the address, grade, designation date and description.Please note some features in this data are represented by multiple individual points to give better spatial accuracy to the records (for example multiple building parts, or multiple columns) - the NCC_Ref attribute can be used to aggregate up into single features, if required. A Listed Building is one that is recognised as being of national importance. Buildings with listed status are recorded on an official register called The National Heritage List for England (NHLE). Listing marks and celebrates a building's special architectural and historic interest, and also brings it under the consideration of the planning system, so that it can be protected for future generations.The older a building is, and the fewer the surviving examples of its kind, the more likely it is to be listed. The general principles are that all buildings built before 1700 which survive in anything like their original condition are likely to be listed, as are most buildings built between 1700 and 1850. Particularly careful selection is required for buildings from the period after 1945. Buildings less than 30 years old are not normally considered to be of special architectural or historic interest because they have yet to stand the test of time.Please note, this data may vary from Historic England's national data. As this is sourced internally by Nottingham City Council, this data is the most up to date for Nottingham.

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300 data sources in total
2. 155,000,000 properties in total
3. 4 billion records (listed in the "data types" block above) in total
4. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

This is the domain table for Property Use Codes (designated by the Chief Data Officer (CDO) per Mayor’s Order 2017-115). Districtwide domain tables are database tables designated by the CDO to provide a standard source of values to be used across District information systems and data transformations, as defined by the Open Data Policy. The source table for this is the DCGIS.USECODE layer.

Web App. Use the tabs provided to discover information about map features and capabilities. Link to Metadata. A variety of searches can be performed to find the parcel of interest. Use the Query Tool to build searches. Click Apply button at the bottom of the tool.Query by Name (Last First) (e.g. Bond James)Query by Address (e.g. 41 S Central)Query by Locator number (e.g. 21J411046)Search results will be listed under the Results tab. Click on a parcel in the list to zoom to that parcel. Click on the parcel in the map and scroll through the pop-up to see more information about the parcel. Click the ellipse in the Results tab or in the pop-up to view information in a table. Attribute information can be exported to CSV file. Build a custom Filter to select and map properties by opening the Parcels attribute table:1. Click the arrow tab at the bottom middle of the map to expand the attribute table window2. Click on the Parcels tab3. Check off Filter by map extent4. Open Options>Filter5. Build expressions as needed to filter by owner name or other variables6. Select the needed records from the returned list7. Click Zoom to which will zoom to the selected recordsPlease note that as the map zooms out detailed layers, such as the parcel boundaries will not display.In addition to Search capabilities, the following tools are provided:MeasureThe measure tool provides the capabilities to draw a point, line, or polygon on the map and specify the unit of measurement.DrawThe draw tool provides the capabilities to draw a point, line, or polygon on the map as graphics. PrintThe print tool exports the map to either a PDF or image file. Click Settings button to configure map or remove legend.Map navigation using mouse and keyboard:Drag to panSHIFT + CTRL + Drag to zoom outMouse Scroll Forward to zoom inMouse Scroll Backward to zoom outUse Arrow keys to pan+ key to zoom in a level- key to zoom out a levelDouble Click to Zoom inFAQsHow to select a parcel: Click on a parcel in the map, or use Query Tool to search for parcel by owner, address or parcel id.How to select more than one parcel: Go to Select Tool and choose options on Select button.How to clear selected parcel(s): Go to Select Tool and click Clear.

General UsagePublic users who enter the portal will land at the Parcel Search page by default. The four (4) buttons located on the top navigation bar are used to initiate searches for land parcel and tax information in the system. Note that Sales History is currently a premium feature of the Ascent Land Records Portal and be not be available every county. When the user hovers over a particular button with the mouse pointer, that button will change to the color red.If the user clicks the left mouse button while the button is red, the user will be navigated the specific search screen and will be able to enter search criteria and view the search results. A detailed explanation of each search is provided in the help topics that follow. An overview is provided below and each bullet provides a link to more detail.Parcel Search: Allows a user to locate a real estate tax parcel using one or more search criteria. A search will return the user zero or more candidate results that satisfy the search criteria. The user may then choose a specific real estate tax parcel in order to investigate it in more detail. Survey Search: A survey is an element in the Ascent Land Records System that is always related to one or more parcels. Any parcel created within the Ascent Land Records System must have an associated survey that describes what circumstances resulted in the parcel's creation. Parcels that existed prior to the county's transition to the Ascent Land Records System may not have an associated survey element.Sales History: This search provides the capability to search for property sales for a single municipality within a specified date range. It analyzes and combines data from both the county's property listing database and the county's Register of Deeds database.Plat & Condo Directory: This provides a listing of any subdivision, condominium, cemetery, and transportation plats maintained in this system by the county. Note that this information will only be available if the county department responsible for property listing records manages maintains this information in the Ascent Land Records System.

The Inventory of Owned and Leased Properties (IOLP) allows users to search properties owned and leased by the General Services Administration (GSA) across the United States, Puerto Rico, Guam and American Samoa. The Owned and Leased Data Sets include the following data except where noted below for Leases: Location Code - GSA’s alphanumeric identifier for the building Real Property Asset Name - Allows users to find information about a specific building Installation Name - Allows users to identify whether a property is part of an installation, such as a campus Owned or Leased - Indicates the building is federally owned (F) or leased (L) GSA Region - GSA assigned region for building location Street Address/City/State/Zip Code - Building address Longitude and Latitude - Map coordinates of the building (only through .csv export) Rentable Square Feet - Total rentable square feet in building Available Square Feet - Vacant space in building Construction Date (Owned Only) - Year built Congressional District - Congressional District building is located Senator/Representative/URL - Senator/Representative of the Congressional District and their URL Building Status (Owned Only) - Indicates building is active Lease Number (Leased Only) - GSA’s alphanumeric identifier for the lease Lease Effective/Expiration Dates (Leased Only) - Date lease starts/expires Real Property Asset Type - Identifies a property as land, building, or structure

Land Parcels mapped with Parcel Number and Acreage.By using this dataset you acknowledge the following:Kansas Open Records Act StatementThe Kansas Open Records Act provides in K.S.A. 45-230 that "no person shall knowingly sell, give or receive, for the purpose of selling or offering for sale, any property or service to persons listed therein, any list of names and addresses contained in, or derived from public records..." Violation of this law may subject the violator to a civil penalty of $500.00 for each violation. Violators will be reported for prosecution.By accessing this site, the user makes the following certification pursuant to K.S.A. 45-220(c)(2): "The requester does not intend to, and will not: (A) Use any list of names or addresses contained in or derived from the records or information for the purpose of selling or offering for sale any property or service to any person listed or to any person who resides at any address listed; or (B) sell, give or otherwise make available to any person any list of names or addresses contained in or derived from the records or information for the purpose of allowing that person to sell or offer for sale any property or service to any person listed or to any person who resides at any address listed."

The DC Office of the Chief Financial Officer (OCFO), Office of Tax and Revenue (OTR), Real Property Tax Administration (RPTA) values all real property in the District of Columbia. This public interactive Real Property Assessment map application accompanies the OCFO MyTax DC and OTR websites. Use this mapping application to search for and view all real property, assessment valuation data, assessment neighborhood areas and sub-areas, detailed assessment information, and many real property valuation reports by various political and administrative areas. View by other administrative areas such as DC Wards, ANCs, DC Squares, and by specific real property characteristics such as property type and/or sale date. If you have questions, comments, or suggestions regarding the Real Property Assessment Map, contact the Real Property Assessment Division GIS Program at (202) 442-6484 or maps.title@dc.gov.

Abstract or certificate of title documenting Federal real property ownership, surveys, easements, rights-of-way, and chain of title for property the Government acquired after December 31, 1920, by purchase, condemnation, donation, exchange, or otherwise.

AI-Generated Real Estate Listing Market Outlook

According to our latest research, the AI-generated real estate listing market size reached USD 1.57 billion globally in 2024, reflecting a robust surge in adoption across multiple verticals. The market is projected to grow at a CAGR of 18.9% from 2025 to 2033, with the total market size expected to reach USD 7.28 billion by the end of the forecast period. This growth trajectory is primarily fueled by the increasing demand for automation, enhanced property marketing, and the need for data-driven insights to optimize real estate transactions. As per the latest research, the integration of AI technologies in property listing platforms is transforming how properties are marketed, discovered, and managed, providing unprecedented value to real estate stakeholders globally.

The rapid expansion of the AI-generated real estate listing market is underpinned by several compelling growth factors. Chief among these is the rising need for efficiency and accuracy in property listing creation and management. Traditional real estate listing processes are time-consuming and prone to human error, often resulting in incomplete or inconsistent property data. AI-powered solutions automate the generation of property descriptions, image enhancements, and even virtual staging, enabling real estate professionals to deliver high-quality listings at scale. This automation not only reduces operational costs but also accelerates the time-to-market for new listings, allowing agencies and agents to respond swiftly to changing market dynamics and consumer preferences.

Another major driver for the AI-generated real estate listing market is the increasing consumer expectation for personalized and engaging property search experiences. Modern buyers and renters demand comprehensive, visually appealing, and accurate property information that AI can deliver through advanced natural language processing (NLP) and computer vision technologies. AI-generated listings can tailor content based on user behavior, search history, and demographic data, resulting in higher engagement rates and improved conversion metrics. Furthermore, the integration of AI with virtual tours, chatbots, and predictive analytics enhances the overall customer journey, making property discovery more intuitive and satisfying for end-users.

The proliferation of digital platforms and the shift towards online property transactions have further accelerated the adoption of AI-generated real estate listing solutions. As the real estate industry becomes increasingly digitalized, stakeholders are leveraging AI to gain a competitive edge by offering differentiated services and richer content. The ability of AI to analyze vast datasets, identify emerging trends, and generate actionable insights is particularly valuable in highly competitive markets. Additionally, regulatory changes and the growing emphasis on transparency and compliance are prompting agencies to adopt AI tools that ensure listings are accurate, up-to-date, and legally compliant. These factors collectively create a fertile environment for sustained growth in the AI-generated real estate listing market.

From a regional perspective, North America currently leads the global AI-generated real estate listing market, accounting for the largest share in 2024. The region’s dominance is attributed to the high rate of technology adoption, significant investments in AI research, and a mature real estate ecosystem. Europe and Asia Pacific are also witnessing rapid growth, with countries like the United Kingdom, Germany, China, and India emerging as key markets. The Asia Pacific region, in particular, is expected to register the highest CAGR during the forecast period, driven by urbanization, a booming property sector, and increasing digital transformation initiatives. Latin America and the Middle East & Africa, while still nascent, are poised for substantial growth as internet penetration and real estate investments continue to rise.

Component Analysis

The AI-generated real estate listing market can be segmented by component into software and services, each playing a critical role in the ecosystem. The software segment comprises AI-powered platforms, listing engines, and data analytics tools that automate the creation and optimization of property listings. These solutions leverage advanced algorithms for natural language generation, image recognition, and content personalization, enabling real estat

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300 data sources in total
2. 155,000,000 properties in total
3. 4 billion records (listed in the "data types" block above) in total
4. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

Inventory of Historic Properties for Carroll County. The Maryland Inventory of Historic Properties vector layers are depictions of the approximate locations of historic structures, monuments, districts, and other properties that are listed on the Maryland Inventory of Historic Properties. No attribute information is available for this dataset.

   This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.


   The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.


   The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.


   Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

Records are added to the Building Code Scofflaw List every six months and these records are the ones in effect until the next update. Older records are kept in the dataset for historical reference. This filtered view shows just the current records -- those with the most recent BUILDING LIST DATE.

Please see the description section for the full dataset for further information about the data.

Explore the historical Whois records related to list-your-property-for-free-now.com (Domain). Get insights into ownership history and changes over time.

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.

Property currently or historically owned and managed by the City of Chicago. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

The following columns were added 4/14/2023:

• Sales Status
• Sale Offering Status
• Sale Offering Reason
• Square Footage - City Estimate
• Land Value (2022) -- Note: The year will change over time.

The following columns were added 3/19/2024:

• Application Use
• Grouped Parcels
• Application Deadline
• Offer Round
• Application URL