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:

1. 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

2. 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.

3. 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.

4. 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.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. 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.

7. 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?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, projected to reach a substantial size over the next decade. Driven by factors such as increasing urbanization, a robust rental market, and the growing preference for rental housing among millennials and Gen Z, the sector shows considerable promise. The industry is segmented by end-user (commercial and residential) and service type (marketing, property evaluation, tenant services, maintenance, and other services). Commercial property management is a significant revenue driver, benefiting from the expansion of businesses and the need for efficient space management. Residential property management, however, is expected to see higher growth due to increasing demand for rental units across various price points. Technological advancements, particularly in property management software and online platforms, are streamlining operations and enhancing efficiency, improving tenant experiences, and attracting new investors. However, challenges remain, including fluctuating interest rates impacting investment decisions, potential economic downturns affecting occupancy rates, and the need for skilled professionals to manage increasingly complex portfolios. The competitive landscape is characterized by both large, publicly traded companies like CBRE Group and Jones Lang LaSalle, as well as smaller, regional players specializing in niche markets. This competitive dynamic fosters innovation and provides a wide range of services catering to diverse client needs. The forecast period of 2025-2033 suggests a continued positive trajectory for the US property management market. While external factors like inflation and recessionary pressures could influence growth rates, the underlying demand for professional property management services is expected to remain strong. The industry's adaptation to technological advancements and the ongoing evolution of property management practices are key factors contributing to its resilience and long-term sustainability. The concentration of major players in key metropolitan areas suggests future growth will likely be concentrated in these urban centers, with expansion into secondary and tertiary markets also presenting significant opportunities. Further segmentation analysis, particularly focusing on specific service types within both commercial and residential sectors, would allow for more precise projections and strategic investment decisions. Comprehensive Coverage US Property Management Industry Report (2019-2033) This in-depth report provides a comprehensive analysis of the US Property Management Industry, offering invaluable insights for investors, industry professionals, and strategic planners. The report covers the period from 2019 to 2033, with a base year of 2025 and a forecast period extending to 2033. We delve into market size, segmentation, trends, and key players, leveraging data from the historical period (2019-2024) to project future growth. Our analysis encompasses various segments, including commercial and residential property management, and services like marketing, property evaluation, tenant services, and maintenance. Discover the factors driving market expansion and the challenges impacting industry players. This report is your essential guide to navigating the dynamic US property management landscape. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Economic Uncertainties are Restraining the Market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, driven by several key factors. The increasing urbanization and population growth, particularly in major metropolitan areas, fuels the demand for rental properties and professional property management services. The rise of institutional investors in the multifamily sector further contributes to this demand, as these investors often outsource management to specialized firms. Technological advancements, such as property management software and online tenant portals, are streamlining operations and improving efficiency, leading to increased market penetration and attracting new players. Furthermore, the evolving preferences of renters, who increasingly value convenience and amenities, necessitate sophisticated property management solutions, fostering industry expansion. The commercial sector also contributes significantly, with businesses relying on professional managers for office buildings, retail spaces, and industrial properties. While the industry faces challenges, such as fluctuating interest rates impacting investment decisions and potential labor shortages within the property management sector, the long-term outlook remains positive. The diverse service offerings within the industry—from marketing and property evaluation to tenant services and maintenance—provide resilience against economic downturns. The fragmentation of the market presents opportunities for both established players and new entrants, with mergers and acquisitions potentially reshaping the competitive landscape in the coming years. The increasing focus on sustainable and environmentally friendly practices also presents a growth avenue, as property managers adapt their strategies to meet evolving tenant expectations and regulatory requirements. Considering the provided global market size of $81.52 billion (assuming “Million” is a typo and should be “Billion”) and a CAGR of 3.94%, a reasonable estimate for the US market share, given its prominence in the global real estate market, would place it in the range of $40-50 billion in 2025. This estimate is further supported by the presence of large US-based property management companies listed in the provided data. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

Unraveling the Technical Prowess of BatchData Property Data Search API:

State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

Common Use Cases for BatchData Property Data Search API:

Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

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

POI noise profiles from 10M+ check-ins across 200+ countries. Ideal for commercial real estate site selection, investment decisions, and market analysis. Includes average noise-level + occupancy average + conversational attributes. Delivered via CSV or S3. AI-powered insights coming soon.

GapMaps premium demographic 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.

Demographic Data attributes include:

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.

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.

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.

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

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.

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

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

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 AGS Demographic 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

Opportunity Zone Real-Estate Market Outlook

According to our latest research, the global Opportunity Zone Real-Estate market size reached USD 92.5 billion in 2024, demonstrating robust momentum driven by favorable tax incentives and investor appetite for high-growth assets. The market is projected to expand at a CAGR of 8.7% from 2025 to 2033, culminating in a forecasted market size of approximately USD 194.3 billion by 2033. This sustained growth is propelled by regulatory support, increased institutional participation, and a growing emphasis on revitalizing underserved communities.

One of the primary growth factors for the Opportunity Zone Real-Estate market is the significant tax advantages provided by government policies, particularly in the United States under the Tax Cuts and Jobs Act. These incentives, which include deferral and potential reduction of capital gains taxes, have attracted a diverse pool of investors seeking both financial returns and social impact. The alignment of public policy with private capital has resulted in a surge in investment activity, particularly in areas historically overlooked by mainstream capital flows. The synergy between government objectives and investor interests has created a fertile environment for market expansion, as more stakeholders recognize the dual benefits of economic returns and community revitalization.

Another key driver is the increasing involvement of institutional investors and real estate funds, who are leveraging their expertise and scale to unlock value in Opportunity Zones. The entry of these sophisticated players has led to the professionalization of the sector, with improved due diligence, risk management, and project execution. This has, in turn, enhanced the credibility of Opportunity Zone investments, attracting additional capital from family offices, high-net-worth individuals, and even foreign investors. The proliferation of Opportunity Zone funds and Real Estate Investment Trusts (REITs) has democratized access to this market, allowing a broader array of investors to participate in high-potential projects spanning residential, commercial, and mixed-use developments.

Technology and data analytics are also playing a pivotal role in the growth of the Opportunity Zone Real-Estate market. Advanced tools for site selection, project feasibility, and impact measurement are enabling investors and developers to make more informed decisions and optimize returns. Geographic Information Systems (GIS), predictive analytics, and machine learning models are being utilized to identify undervalued assets, forecast neighborhood growth trajectories, and ensure compliance with regulatory requirements. As digital transformation continues to permeate the real estate sector, stakeholders in Opportunity Zones are better equipped to mitigate risks, maximize impact, and align investments with community needs.

From a regional perspective, North America continues to dominate the Opportunity Zone Real-Estate market, accounting for the largest share of global investments. The United States, in particular, has seen a proliferation of Opportunity Zone projects across urban, suburban, and rural geographies. However, there is growing interest in similar frameworks in Europe, Asia Pacific, and Latin America, where governments are exploring the adoption of Opportunity Zone-like incentives to attract private capital and stimulate local economies. The competitive landscape is evolving rapidly, with cross-border partnerships and knowledge transfer contributing to the emergence of new markets and investment opportunities worldwide.

Property Type Analysis

The Opportunity Zone Real-Estate market is segmented by property type into residential, commercial, mixed-use, industrial, and others, each presenting unique investment characteristics and risk-return profiles. Residential properties have historically attracted the lion’s share of Opportunity Zone capital, driven by the persistent demand for affordable housin

Net-Income-From-Continuing-Operations Time Series for CoStar Group Inc. CoStar Group, Inc. provides information, analytics, and online marketplace services in the United States, Canada, Europe, the Asia Pacific, and Latin America. It offers CoStar Property that provides inventory of office, industrial, retail, multifamily, hospitality, and student housing properties and land; CoStar Leasing, a data on lease transactions and tools to manage user-entered lease data; CoStar Sales, a database of commercial real estate sales transactions; CoStar Owners provides detailed portfolio information; CoStar Markets to view and report on market and submarket trends; and CoStar Tenant that provides tenant information. The company also provides CoStar Benchmarking allows hotels to measure performance against competitors; CoStar Lender, a tool for lenders to manage loan portfolios and risk; and real estate and lease management technology solutions, such as lease administration, lease accounting, and abstraction services. In addition, it offers Apartamentos.com, an apartment marketing sites; LoopNet.com, a commercial property marketing sites; Homes.com, a homes for sale listings site; Ten-X, an online auction platform for commercial real estate; Land.com, a marketplace for rural land sales; and BizBuySell.com, a marketplace for operating businesses and franchises for sale. It serves sales, leasing, and mortgage brokers; property, real estate investment trust, insurance companies, and asset managers; and government agencies, property owners, mortgage-backed security issuers, appraisers, design and construction professionals, pension fund managers, real estate developers, reporters tenant vendors, bankers, building services vendors, mortgage bankers, communications providers, retailers, institutional advisors, hospitality owners, investors, and real estate agents. The company was founded in 1987 and is headquartered in Arlington, Virginia.

Goodwill Time Series for CoStar Group Inc. CoStar Group, Inc. provides information, analytics, and online marketplace services in the United States, Canada, Europe, the Asia Pacific, and Latin America. It offers CoStar Property that provides inventory of office, industrial, retail, multifamily, hospitality, and student housing properties and land; CoStar Leasing, a data on lease transactions and tools to manage user-entered lease data; CoStar Sales, a database of commercial real estate sales transactions; CoStar Owners provides detailed portfolio information; CoStar Markets to view and report on market and submarket trends; and CoStar Tenant that provides tenant information. The company also provides CoStar Benchmarking allows hotels to measure performance against competitors; CoStar Lender, a tool for lenders to manage loan portfolios and risk; and real estate and lease management technology solutions, such as lease administration, lease accounting, and abstraction services. In addition, it offers Apartamentos.com, an apartment marketing sites; LoopNet.com, a commercial property marketing sites; Homes.com, a homes for sale listings site; Ten-X, an online auction platform for commercial real estate; Land.com, a marketplace for rural land sales; and BizBuySell.com, a marketplace for operating businesses and franchises for sale. It serves sales, leasing, and mortgage brokers; property, real estate investment trust, insurance companies, and asset managers; and government agencies, property owners, mortgage-backed security issuers, appraisers, design and construction professionals, pension fund managers, real estate developers, reporters tenant vendors, bankers, building services vendors, mortgage bankers, communications providers, retailers, institutional advisors, hospitality owners, investors, and real estate agents. The company was founded in 1987 and is headquartered in Arlington, Virginia.

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:

1. 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

2. 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.

3. 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.

4. 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.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. 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.

7. 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?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Cash-and-Equivalents Time Series for CoStar Group Inc. CoStar Group, Inc. provides information, analytics, and online marketplace services in the United States, Canada, Europe, the Asia Pacific, and Latin America. It offers CoStar Property that provides inventory of office, industrial, retail, multifamily, hospitality, and student housing properties and land; CoStar Leasing, a data on lease transactions and tools to manage user-entered lease data; CoStar Sales, a database of commercial real estate sales transactions; CoStar Owners provides detailed portfolio information; CoStar Markets to view and report on market and submarket trends; and CoStar Tenant that provides tenant information. The company also provides CoStar Benchmarking allows hotels to measure performance against competitors; CoStar Lender, a tool for lenders to manage loan portfolios and risk; and real estate and lease management technology solutions, such as lease administration, lease accounting, and abstraction services. In addition, it offers Apartamentos.com, an apartment marketing sites; LoopNet.com, a commercial property marketing sites; Homes.com, a homes for sale listings site; Ten-X, an online auction platform for commercial real estate; Land.com, a marketplace for rural land sales; and BizBuySell.com, a marketplace for operating businesses and franchises for sale. It serves sales, leasing, and mortgage brokers; property, real estate investment trust, insurance companies, and asset managers; and government agencies, property owners, mortgage-backed security issuers, appraisers, design and construction professionals, pension fund managers, real estate developers, reporters tenant vendors, bankers, building services vendors, mortgage bankers, communications providers, retailers, institutional advisors, hospitality owners, investors, and real estate agents. The company was founded in 1987 and is headquartered in Arlington, Virginia.

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

Property-Plant-and-Equipment-Gross Time Series for CoStar Group Inc. CoStar Group, Inc. provides information, analytics, and online marketplace services in the United States, Canada, Europe, the Asia Pacific, and Latin America. It offers CoStar Property that provides inventory of office, industrial, retail, multifamily, hospitality, and student housing properties and land; CoStar Leasing, a data on lease transactions and tools to manage user-entered lease data; CoStar Sales, a database of commercial real estate sales transactions; CoStar Owners provides detailed portfolio information; CoStar Markets to view and report on market and submarket trends; and CoStar Tenant that provides tenant information. The company also provides CoStar Benchmarking allows hotels to measure performance against competitors; CoStar Lender, a tool for lenders to manage loan portfolios and risk; and real estate and lease management technology solutions, such as lease administration, lease accounting, and abstraction services. In addition, it offers Apartamentos.com, an apartment marketing sites; LoopNet.com, a commercial property marketing sites; Homes.com, a homes for sale listings site; Ten-X, an online auction platform for commercial real estate; Land.com, a marketplace for rural land sales; and BizBuySell.com, a marketplace for operating businesses and franchises for sale. It serves sales, leasing, and mortgage brokers; property, real estate investment trust, insurance companies, and asset managers; and government agencies, property owners, mortgage-backed security issuers, appraisers, design and construction professionals, pension fund managers, real estate developers, reporters tenant vendors, bankers, building services vendors, mortgage bankers, communications providers, retailers, institutional advisors, hospitality owners, investors, and real estate agents. The company was founded in 1987 and is headquartered in Arlington, Virginia.

This data collection provides information on the characteristics of a national sample of housing units. Data include the year the structure was built, type and number of living quarters, presence of a garage, occupancy status, access, number of rooms and bedrooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Similar data are provided for housing units previously occupied by respondents who had recently moved. Supplemental sections provide data on energy-related characteristics, such as the presence of storm doors, storm windows, and other types of insulation, and use of supplemental heating equipment. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, cracks or holes in walls, ceilings, and floors, breakdowns of plumbing facilities and equipment, use of exterminator service, and respondent's overall opinion of structure. For quality of neighborhood, variables include existence of boarded-up buildings, noise, lack of street lighting, heavy traffic, objectionable odors, crime, and respondent's overall opinion of neighborhood. Extensive information is provided on mobile homes including type of foundation, width of home, quality of the structure, problems, if any with installation of mobile home on the present site, and amount of real estate and property taxes, and site rent. Information on condominiums and cooperatives covers number of units in the development, amount of mortgage payment, real estate tax, condominium fee, and utility costs. In addition to housing characteristics, demographic data are provided on the household members, such as sex, age, race, marital status, relationship to the household head, and income. Additional data are provided on the head of the household including years of school completed, Hispanic origin, and length of residence. For each employed respondent travel-to-work information such as principal mode of transportation, carpool occupancy, type of public transportation used, and time and distance from home to work was also collected.

Xverum’s Location Data is a highly structured dataset of 230M+ verified locations, covering businesses, landmarks, and points of interest (POI) across 5000 industry categories. With accurate geographic coordinates, business metadata, and mapping attributes, our dataset is optimized for GIS applications, real estate analysis, market research, and urban planning.

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💡 Why Choose Xverum’s Location Data? - 230M+ Verified Locations – One of the largest & most structured location datasets available. - Global Coverage – Spanning 249+ countries, with diverse business & industry data. - Regular Updates – Continuous discovery & refresh cycles ensure data accuracy. - Comprehensive Geographic & Business Metadata – Coordinates, addresses, industry categories & more. - Bulk Dataset Delivery (NO API) – Seamless access via S3 Bucket or cloud storage. - 100% Compliant – Ethically sourced & legally compliant.

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