Web map for City Properties and Facilities in support of the Land & Building Management System
The data set “Matrikkelen-Property Map Teig — historical data 2019” is the annual version of “Matrikkelen-Property Map Teig”. It is only zip files that are renamed, nothing inside the files. Version 2019 is based on product specification: Matrikkelen-Property map-Teig_20180501. Excerpts from the 2019 description of Matrikkelen-Property Map Teig: The dataset contains a small extract of property information that is registered in Matrikkelen, Norway’s official register of real estate. The data set contains teiger (limited areas/soil pieces) with information about which property it belongs to. The matricle number (farm number/use number) identifies the property. Point, boundaries and level of quality information are included in the data set. Volumes of construction properties (properties above/under ground) are supplied as an area, — a plant “footprint”. The distribution is set against a distribution solution that provides some delay from the matricle system — from 30 minutes delay when downloading data in freely selected area from maps, daily for WMS and WFS, weekly for downloads of ready-made files and databases. Known errors: For some surfaces where arches are included, arc is replaced by malformed “edge section”.
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps - also known as assessment maps - property maps or parcel maps - are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property. Last Updated: Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
The data set “Matrikkelen-Property Map Teig — historical data 2020” is the annual version of “Matrikkelen-Property Map Teig”. It is only zip files that are renamed, nothing inside the files. Version 2020 is based on product specification: Matrikkelen-Property map-Teig_20180501. The data set Matrikkelen-Property Map Teig 2020 contains a small extract of property information registered in Matrikkelen, Norway’s official register of real estate. The data set contains teiger (limited areas/soil pieces) with information about which property it belongs to. The matricle number (farm number/use number) identifies the property. Boundary points, boundaries and areas of quality information are included in the data set. Volumes of construction properties (properties above/under ground) are supplied as an area, — a plant “footprint”.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Webmap of Allegheny municipalities and parcel data. Zoom for a clickable parcel map with owner name, property photograph, and link to the County Real Estate website for property sales information.
Council-approved licenses to use the whole or part of the public right-of-way. The data excludes terminated licenses and most small cell network nodes.
Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.
A. Usecase/Applications possible with the data:
Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data
Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.
Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.
Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.
Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.
Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.
Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.
How does it work?
To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021
The web map provides information about the City of Dallas's land and building assets. It provides information including asset ID, address, property name and number, acquisition date, area, department, role, and sale date for each feature owned by the City of Dallas. The web map is used by the Land and Building Management System (LBMS) application at https://dallasgis.maps.arcgis.com/home/item.html?id=ddf0449548f04512bae122b3228812f2.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
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This dataset represents real property information within a parcel of land in the City of Baltimore. The data dictionary for this dataset can be accessed by visiting the following link.: Data Dictionary For Real Property Information | Open Baltimore (baltimorecity.gov). Data is updated on a weekly basis. To leave feedback or ask a question about this dataset, please fill out the following form: Real Property Information feedback form.
Vacant property owned and managed by the City of Chicago Department of Housing and Economic Development. 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 LIS 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 LIS 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Original maps and plans created by real estate firms from 1850s to mid 1900s from State Library of Queensland collection collections.
This dataset includes descriptions, geographic coordinates and links for 1259 digitised maps.
Estate maps can give information about land subdivisions, including how the land was subdivided, when it was first auctioned, who the surveyors were and who sold the land. They are useful for investigating the history of urban land areas.
The maps are predominantly from Brisbane but also cover some regional areas of Queensland such as the Gold and Sunshine Coasts.
Additional information about this collection is available at: https://www.slq.qld.gov.au/blog/real-estate-map-collection-treasure-collection-john-oxley-library
Also available in State Library’s library catalogue http://onesearch.slq.qld.gov.au
Explore State Library’s events, programs and services at https://slq.qld.gov.au
map of all SF properties with associated, zoning, permits, complaints and appeals history See the Data Downloads section of the websites help page for links to individual DataSF datasets used to create the Property Information Map https://sfplanninggis.org/pim/help.html
This map displays land record data for Cerro Gordo County, Iowa. It contains parcel ownership information and associated cadastral data. The use of the ArcGIS Experience App prevents mishandling and accidental changes made by public users and internal staff. Changes to this map and app must be done in ArcGIS Online Map or Experience Builder interface. Regular updates are planned for this Experience. Accessibility and useability are the goals, and all efforts are towards accomplishing those two goals.
OSA web map to view State of Colorado property data
One time exploratory map highlighting engagement events by the Deputy Mayor for Budget and Innovation.
Web map of city Lots for parking or vacant mashed up with the medical centers within city limits. This combination is useful for site analysis for drive-up testing centers to test for COVID-19. The data consists of the most current city real estate properties map that is maintained by General Services Department.
The Baist Index provides a mapping index that mirrors the hardcopy index in the original Baist Map Volumes. These are real estate map scans from 1959.
Vacant property owned and managed by the City of Chicago Department of Planning and Development. 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 LIS 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 LIS 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.
description: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.; abstract: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.
Web map for City Properties and Facilities in support of the Land & Building Management System