About this itemInteractive map showing commercial properties for sale or lease in Burnsville. A creative use of ESRI's ops dashboard to provide users with detailed commercial property information and easy/flexible filtering tools. Includes a link for sellers to add their property to the map for free. The dashboard has almost 5,000 views in 3 years. Author/ContributorMatt TaranOrganizationCity of BurnsvilleOrg Websitewww.burnsvillemn.gov

This table contains information about commercial properties including number of stories, elevators, exterior wall type, floor type and roof type for commercial properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

This file includes data pertaining to Commercial Properties. The "ParcelNumber" field can be joined to the "ParcelNumber" field in the "Parcel Area Details" data set for mapping purposes (current parcels only). This data set is updated on a daily basis and reflects the Real Estate system as of the previous business day.

Note: Active and Retired parcels are included in this dataset so joining this dataset to the datasets: ‘Real Estate (Base Active)’ or ‘Parcel Area Details’ will not result in all parcels matching since ‘Real Estate (Base Active)’ and ‘Parcel Area Details’ only contain currently active parcels.Please refer to this Data Guide for details on how to access and join Real Estate data

A point feature class of Commercial Business locations within Miami-Dade County.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

 Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.

2020 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of commercial buildings.

This is a collection of CSV files that contain assessment data. The files in this extract are:Primary Parcel file containing primary owner and land information;Addn file containing drawing vectors for dwelling records;Additional Address file containing any additional addresses that exist for a parcel;Assessment file containing assessed value-related data;Appraisal file containing appraised value-related data;Commercial file containing primary commercial data;Commercial Apt containing commercial apartment data;Commercial Interior Exterior dataDwelling fileEntrance data containing data from appraisers' visits;Other Buildings and Yard ImprovementsSales FileTax Rate File for the current billing cycle by taxing district authority and property class; and,Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included:Data Dictionary PDF; and,St Louis County Rate Book for the current tax billing cycle.

Data source is the Office of Tax and Revenue’s Computer-Assisted Mass Appraisal (CAMA) system. The CAMA system is used by the Assessment Division (AD) within the Real Property Tax Administration to value real estate for ad valorem real property tax purposes.The intent of this data is to provide a sale history for active properties listed among the District of Columbia’s real property tax assessment roll. This data is updated daily. The AD constantly maintains sale data, adding new data and updating existing data. Daily updates represent a “snapshot” at the time the data was extracted from the CAMA system, and data is always subject to change.

Air right lots are reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Non-contiguous Air Rights Lots numbered in 8000 series can either be District owned Multifamily rental units or Existing Development Mixed (residential and commercial).Multifamily 8000 series lots can be proposed development projects that are inclusive of the Mayor’s Office Affordable/Public Housing Initiatives. Additionally, they can either be development sites that are owned by the District and the site is leased to developer. Due to financing and legal requirements, each set of government funded units are required to have separate parcel ID’s (SSL’s). All the units are rentals, none of the units will be for sale.Existing Development Mixed Use 8000 series lots are residential owner(s) that own both residential and commercial portions. The Lot split is done to ensure each party pays the appropriate real estate taxes assessed to each specific use. There is a master covenant lease outlining property access-rights-use between residential and commercial owner and lease holders. There is also a master lease related to the commercial space where the residential owner is the lease holder.

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the global Equipment GIS Mapping for Facilities market size reached USD 3.1 billion in 2024, reflecting robust expansion driven by digital transformation across facility management sectors. The market is experiencing a healthy growth trajectory, with a projected CAGR of 10.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 7.7 billion. This significant growth is attributed to the rising need for real-time spatial intelligence, enhanced asset management, and the integration of advanced geospatial technologies within various facility types. As organizations increasingly prioritize operational efficiency and data-driven decision-making, the adoption of GIS mapping solutions for facilities is expected to accelerate across diverse end-user verticals.

The primary growth factor fueling the Equipment GIS Mapping for Facilities market is the intensifying demand for integrated asset management and space optimization across both public and private sectors. Facility managers are under mounting pressure to maximize resource utilization, reduce operational costs, and ensure regulatory compliance. GIS mapping platforms provide a comprehensive, visualized inventory of assets, infrastructure, and spatial layouts, enabling data-driven planning and real-time monitoring. The ability to overlay facility data with geographic information empowers stakeholders to proactively manage maintenance schedules, rapidly locate equipment, and streamline emergency response. As a result, industries such as healthcare, education, government, and commercial real estate are increasingly investing in GIS mapping solutions to elevate their facility management practices.

Another significant driver is the rapid technological advancements in GIS software and hardware, coupled with the proliferation of cloud-based deployment models. Modern GIS solutions now offer robust integration capabilities with IoT devices, building management systems, and enterprise resource planning platforms. This seamless interoperability allows for the aggregation and analysis of vast datasets, supporting predictive analytics and automation. The shift towards cloud deployment is particularly notable, as it reduces upfront infrastructure costs, enhances scalability, and facilitates remote access to facility data. These innovations are making GIS mapping tools more accessible and cost-effective for organizations of all sizes, further propelling market growth.

Furthermore, the growing emphasis on sustainability, security, and emergency preparedness is amplifying the adoption of GIS mapping for facilities. Organizations are leveraging GIS to monitor energy consumption, optimize space usage, and implement green building initiatives. In addition, GIS mapping supports comprehensive security and emergency planning by providing real-time visualization of facility layouts, evacuation routes, and critical infrastructure. This holistic approach to facility management not only enhances occupant safety but also aligns with broader ESG (Environmental, Social, and Governance) goals. The convergence of these trends is expected to sustain the upward momentum of the Equipment GIS Mapping for Facilities market over the forecast period.

Regionally, North America dominates the Equipment GIS Mapping for Facilities market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The market in North America is characterized by early technology adoption, a mature facility management ecosystem, and significant investments in smart building initiatives. Europe is witnessing steady growth, driven by stringent regulatory requirements and a strong focus on sustainability. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, infrastructure development, and increasing awareness of GIS benefits. Latin America and the Middle East & Africa are also showing promising potential, albeit at a more nascent stage, as governments and enterprises gradually recognize the value of spatial intelligence in facility management.

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

2017 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains a breaks down of buildings into the types of areas(storage,restaurant,dorm etc)

The total number of commercial properties located within an area in a particular year. Source: MdProperty View Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Fiscal Office Appraisal 2018 Neighborhoods - Commercial and Residential Last published 4/23/2019

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.

2019 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains a breaks down of buildings into the types of areas(storage,restaurant,dorm etc)

Sourcing accurate and up-to-date demographics GIS data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

Premium demographics GIS data for Asia and MENA includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Demographics GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

The percentage of properties that are investing within their current establishment and not the level of their investment. Permits for work below $5,000 are considered to be minor and not included in this indicator. A single establishment can apply for and receive multiple permits. Source: Baltimore Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

VEDP maintains a statewide clearinghouse of available commercial properties that are currently being marketed by localities, partners, and VEDP itself. This dataset includes the point locations of these Industrial, Office, Flex, and Retail buildings, as well as the centroids of Sites (acreage properties) that currently appear in our Sites & Buildings Search.

This dataset is live and will include updates as they are made.