General Services Administration Owned Properties This National Geospatial Data Asset (NGDA) dataset, shared as a General Services Administration (GSA) feature layer, displays federal government owned properties in the United States, Puerto Rico, Northern Mariana Islands, U.S. Virgin Islands, Guam and American Samoa. Per GSA, it is “the nation’s largest public real estate organization, provides workspace for over one million federal workers. These employees, along with government property, are housed in space owned by the federal government and in leased properties including buildings, land, antenna sites, etc. across the country.” Federally owned buildings in downtown DC Data currency: Current federal service (FC_IOLP_BLDG))NGDAID: 133 (Inventory of Owned and Leased Properties (IOLP))OGC API Features Link: Not AvailableFor more information: Real EstateFor feedback please contact: Esri_US_Federal_Data@esri.com NGDA Data Set This data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes." For other NGDA Content: Esri Federal Datasets

This table contains the information about the land including land sizes (square feet & acres) and land property type for 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.

The Real Estate NFT Market was valued at USD 1.01 Billion in 2025 and is projected to grow to USD 15 Billion by 2035, at a CAGR of 31%. Real Estate Nft Market Overview: The Real Estate NFT Market Size was valued at 770 USD Million in 2024. The Real Estate NFT Market is expected to grow from 1,010 USD Million in 2025 to 15 USD Billion by 2035. The Real Estate NFT Market CAGR (growth rate) is expected to be around 31.0% during the forecast period (2025 - 2035). Key Real Estate Nft Market Trends Highlighted The Global Real Estate NFT Market is witnessing a significant shift as more investors and property developers are beginning to recognize the value of tokenizing real estate assets. Key market drivers include the growing demand for transparency and efficiency in transactions. The blockchain technology underlying NFTs ensures secure ownership verification, which appeals to both buyers and sellers looking to reduce fraud. This trend is supported by various governments promoting blockchain initiatives, fostering a digital-first approach to property ownership and investment. Opportunities to be explored in this market encompass the integration of traditional real estate practices with innovative NFT technologies.The ability to fractionally own property through NFTs can attract a wider range of investors, thus enhancing market accessibility. Furthermore, the potential for using smart contracts to automate transactions and enforce agreements opens new avenues for efficiency, making property transactions smoother and faster. Recent times have seen a rise in collaborations between real estate firms and technology companies, creating a strong ecosystem for the development and commercialization of real estate NFTs. The emergence of virtual real estate platforms and metaverse projects also highlights the trend of digital properties gaining legitimacy, further expanding the market's scope.The global reach of NFTs in real estate indicates a transformative period in how properties are bought, sold, and managed, ultimately reshaping traditional investment processes and consumer engagement in the real estate sector. As the market evolves, it holds promise for substantial growth, driven by these compelling trends and opportunities that reflect the changing landscape of real estate investments. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Real Estate Nft Market Segment Insights: Real Estate Nft Market Regional Insights The Regional analysis of the Global Real Estate NFT Market reveals a dynamic landscape, with North America leading in valuation, expected to reach 6 USD Billion by 2035. This region's dominance is largely driven by its robust technological infrastructure and early adoption of blockchain innovations, which facilitate a thriving environment for Real Estate NFTs. Europe showcases steady expansion, buoyed by an increasing number of investors recognizing the value of digitized assets. The APAC region is witnessing significant growth trends influenced by a surge in the use of blockchain solutions in real estate transactions and investment properties.South America is also experiencing moderate increases as more local players venture into the NFT space, capitalizing on the low entry barriers of digital assets. Meanwhile, MEA is gradually improving as governments incentivize digital economy initiatives, fostering a burgeoning interest in Real Estate NFTs. These trends collectively underscore the varied yet ascending potential of the Real Estate NFT segments across different regions, particularly in North America, which continues to hold a majority position in market valuation. The confluence of technological advancement, changing regulations, and investor interest supports a vibrant future for this market segment. Source: Primary Research, Secondary Research, WGR Database and Analyst Review North America : The Real Estate NFT market is driven by advancements in smart manufacturing and urban surveillance technologies. Key sectors include residential and commercial real estate. The adoption of the Green New Deal promotes sustainable practices

The Activity Related to Real Estate Market was valued at USD 251.5 Billion in 2025 and is projected to grow to USD 300 Billion by 2035, at a CAGR of 1.8%. Activity Related To Real Estate Market Overview: The Activity Related to Real Estate Market Size was valued at 247.1 USD Billion in 2024. The Activity Related to Real Estate Market is expected to grow from 251.5 USD Billion in 2025 to 300 USD Billion by 2035. The Activity Related to Real Estate Market CAGR (growth rate) is expected to be around 1.8% during the forecast period (2025 - 2035). Key Activity Related To Real Estate Market Trends Highlighted The Global Activity Related to Real Estate Market is experiencing notable trends shaped by various factors. One of the key market drivers is the increasing urbanization worldwide, which has led to a rising demand for residential and commercial real estate. As more people move to urban areas seeking better job opportunities and living conditions, this trend is expected to continue in the coming years. Additionally, government initiatives aimed at promoting housing development and infrastructure improvements in various regions are also fueling growth in this market. Opportunities abound for investors and developers, particularly in emerging markets where the middle class is expanding.There is a significant potential for investment in sustainable and affordable housing projects, which cater to the growing environmental consciousness and the need for cost-effective living options. Technological advancements such as proptech and digitization of real estate processes are creating new avenues for efficiency and customer satisfaction, making it an attractive segment for forward-thinking investors. Recent trends show a shift toward remote work models, which is influencing the demand for residential properties as individuals seek larger living spaces that can accommodate home office setups. Additionally, there is a growing emphasis on the integration of smart technologies in real estate developments to enhance tenant experience and energy efficiency.Overall, these trends indicate a dynamic phase for the Global Activity Related to Real Estate Market, highlighting the importance of adaptability and innovation in meeting evolving consumer needs. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Activity Related To Real Estate Market Segment Insights: Activity Related To Real Estate Market Regional Insights The Regional segmentation of the Global Activity Related to Real Estate Market showcases a diverse landscape with varying dynamics across different areas. North America holds a majority position in this market, valued at 95 USD Billion in 2024 and is expected to reach 115 USD Billion by 2035. This region has demonstrated strong growth driven by robust property demand and favorable economic conditions. Europe displays steady expansion, benefiting from a resilient real estate sector supported by government initiatives. Meanwhile, the APAC region is experiencing a moderate increase, spurred by urbanization and an expanding middle class, which is elevating real estate investment opportunities.South America shows gradual development as it encounters unique challenges, yet remains attractive due to its emerging markets. Lastly, the MEA region indicates a slight fluctuation in growth, often influenced by economic diversification and investment in infrastructure, making it an evolving area to watch in the Activity Related to Real Estate Market. Each of these segments contributes uniquely to the overall market dynamics, representing key opportunities amid fluctuating global economic conditions. Source: Primary Research, Secondary Research, WGR Database and Analyst Review North America : The North American real estate market is experiencing growth driven by AIoT integration in smart homes and urban surveillance technologies. Policies such as the Smart Cities Initiative promote sustainable developments. The residential sector is adopting EV infrastructure, with an expected increase in installations in upcoming years. Europe : Europe's real estate market is influenced by sma

Develop Louisville Focuses on the full range of land development activities, including planning and design, vacant property initiatives, advanced planning, housing & community development programs, permits and licensing, land acquisition, public art and clean and green sustainable development partnerships.Data Dictionary:“LBA” is the abbreviation for the Louisville and Jefferson County LBA Authority, Inc."Parcel ID" is an identification code assigned to a piece of real estate by the Jefferson County Property Valuation Administration. The Parcel ID is used for record keeping and tax purposes.“IMPROV” stands for whether or not the real estate parcel had an “improvement” (i.e., a structure) situated on it at the time it was sold. “1” indicates that a structure existed when the parcel was sold and “0” indicates that the parcel was an empty, piece of land.“APPLICANT” is the individual(s) or active business entity that submitted an Application to Purchase the real estate parcel and whose application was presented to and approved by the LBA’s Board of Directors. The Board of Directors must approve each application before a transfer deed is officially recorded with the Office of the County Clerk of Jefferson County, Kentucky.“SALE DATE” is the date that the Applicant signed the transfer deed for the respective real estate parcel.“SALE AMOUNT” is the amount that the Applicant paid to purchase the respective real estate parcel.“SALE PROGRAM” is the LBA’s disposition program that the Applicant participated in to acquire the real estate parcel.The Office of Community Development defines each “Sale Program” as follows:Budget Rate (“Budget Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land.Cut It Keep It - Applicant requested to maintain the empty piece of land situated on the same block as a real estate parcel owned by the Applicant. Applicant must retain ownership of the lot for three (3) years before the Applicant can sell it.Demo for Deed (“Last Look – Demo for Deed”) – Applicant requested to demolish the structure situated on the real estate parcel and retain the land for a future use.Flex Rate (“Flex Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land but did not have proof of funding or a timeline as to when the project would be completed.Metro Redevelopment – The real estate parcel was part of a redevelopment project being considered by Metro Government.Minimum Pricing Policy – The pricing policy that was approved by the LBA’s Board of Directors and in effect as of the real estate parcel’s sale date.RFP (“Request for Proposals”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Save the Structure (“Last Look – Save the Structure”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Side Yard – The Applicant requested to acquire the LBA’s adjoining piece of land to make the Applicant’s occupied, real estate parcel larger and more valuable.SOI (“Solicitation of Interest”) – The LBA assembled two (2) or more real estate parcels and the Applicant submitted a redevelopment project for the subject parcels.For more information about each of the current disposition programs that the LBA offers, please refer to the following website pages:https://louisvilleky.gov/government/community-development/vacant-lot-sales-programshttps://louisvilleky.gov/government/community-development/vacant-structures-saleContact:Connie Suttonconnie.sutton@louisvilleky.gov

introduction

This dataset provides comprehensive information on property sales in England and Wales, as sourced from the UK government's HM Land Registry. It offers valuable insights into property transactions, including sale prices, locations, and types of properties sold. This dataset is particularly useful for analysts, researchers, and businesses looking to understand market trends, property valuations, and investment opportunities in the real estate sector of England and Wales.

Summary of Results

The dataset contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions, from residential to commercial properties, providing a holistic view of the real estate market in England and Wales.

Column Descriptions

colnames=['Transaction_unique_identifier', 'price', 'Date_of_Transfer', 'postcode', 'Property_Type', 'Old/New', 'Duration', 'PAON', 'SAON', 'Street', 'Locality', 'Town/City', 'District', 'County', 'PPDCategory_Type', 'Record_Status - monthly_file_only' ]

Address data Explaination Postcode: The postal code where the property is located. PAON (Primary Addressable Object Name): Typically the house number or name. SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. Street: The street name where the property is located. Locality: Additional locality information. Town/City:The town or city where the property is located. District: The district in which the property resides. County:The county where the property is located. Price Paid:The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution

This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:

"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

##Suggested Usages Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

UK real estate services market valued at $46.2 Bn in 2025, growing at 4.34% CAGR to reach $59.6 Bn by 2031. Read our expert analysis. Recent developments include: 2024: Build-to-rent investment reached USD 1.5 billion in Q2, with 77% targeting single-family housing, 2024: Blackstone acquired 18 last-mile logistics assets for USD 250 million, 2025: Blackstone and Vistry formed USD 925 million partnership for single-family build-to-rent, 2025: Digital-originated leads reached 76% of total leads, 2025: Managed rental units reached 5.81 million. Key drivers for this market are: Government housing initiatives and planning reforms,E-commerce expansion driving logistics demand,Stable legal and financial frameworks,Sustainability mandates steering capital toward green assets. Potential restraints include: Interest rate volatility constraining mortgage affordability,Construction cost inflation and labor shortages,Planning delays prolonging development pipelines. Notable trends are: Institutional capital inflows into build-to-rent and logistics,Digital transformation with 76% digital-originated leads,Rising compliance complexity driving property management fees,Urban regeneration and mixed-use developments.

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

Federal Housing Administration Single-Family – Properties for Sale This National Geospatial Data Asset (NGDA) dataset, shared as a Federal Housing Administration feature layer, displays single-family real estate owned (REO) properties that are up for sale in the United States. Per Housing and Urban Development (HUD), "The U.S. Department of Housing and Urban Development's Real Estate Owned (REO) properties are a result of the Federal Housing Administration (FHA) paying a claim to a lending institution on a foreclosed property which was financed with an FHA Insured Mortgage and the lender transferring ownership of the property to HUD. Typically, title to the property is not transferred (or the claim paid) until the previous owner is evicted from the property. Normally, after the home is transferred to HUD, the property will go up for auction on the HUD Home store website." FHA Single Family Property, Case Number:137-427167 Data currency: current federal service (FHA Single Family REO Properties For Sale)NGDAID: 128 (FHA Single Family REO Properties for Sale - National Geospatial Data Asset (NGDA))For more information: The Federal Housing Administration (FHA); FHA Single Family HousingFor feedback please contact: Esri_US_Federal_Data@esri.com NGDA Data Set This data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes." For other NGDA Content: Esri Federal Datasets

Abstract: The processes starting with the identification and registration of treasury properties have an essential place in the cadastral systems. Spatial data modelling studies were conducted in 2002 to establish a common standard structure on the fundamental similarities of land management systems. These studies were stated as a beginning named Core Cadastral Domain Model (CCDM), since 2006, it has been started to be made under the name of LADM. This model was accepted in 2012 as a standard model in the field of land administration by the International Organization for Standardization (ISO). In this study, an external model class is proposed for LADM’s transactions related to Treasury’s real estates properties which are related National Property Automation Project (MEOP). In order to determine the deficiency of this current external model, databases containing records related to spatial data and property rights were examined, and the deficiencies related to transactions on treasury properties were determined. The created external class is associated with the LADM’s LA_Party, LA_RRR, LA_SpatialUnit and LA_BAUnit master classes. Herewith the standardization of the external data model is ensured. If the external model is implemented by the responsible standardization of the archiving processes will be more comfortable and faster to register.

The Office of Housing & Community Development Focuses on the full range of land development activities, including vacant property initiatives, housing & community development programs.Data Dictionary:“LBA” is the abbreviation for the Louisville and Jefferson County LBA Authority, Inc."Parcel ID" is an identification code assigned to a piece of real estate by the Jefferson County Property Valuation Administration. The Parcel ID is used for record keeping and tax purposes.“IMPROV” stands for whether or not the real estate parcel had an “improvement” (i.e., a structure) situated on it at the time it was sold. “1” indicates that a structure existed when the parcel was sold and “0” indicates that the parcel was an empty, piece of land.“APPLICANT” is the individual(s) or active business entity that submitted an Application to Purchase the real estate parcel and whose application was presented to and approved by the LBA’s Board of Directors. The Board of Directors must approve each application before a transfer deed is officially recorded with the Office of the County Clerk of Jefferson County, Kentucky.“SALE DATE” is the date that the Applicant signed the transfer deed for the respective real estate parcel.“SALE AMOUNT” is the amount that the Applicant paid to purchase the respective real estate parcel.“SALE PROGRAM” is the LBA’s disposition program that the Applicant participated in to acquire the real estate parcel.The Office of Community Development defines each “Sale Program” as follows:Budget Rate (“Budget Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land.Cut It Keep It - Applicant requested to maintain the empty piece of land situated on the same block as a real estate parcel owned by the Applicant. Applicant must retain ownership of the lot for three (3) years before the Applicant can sell it.Demo for Deed (“Last Look – Demo for Deed”) – Applicant requested to demolish the structure situated on the real estate parcel and retain the land for a future use.Flex Rate (“Flex Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land but did not have proof of funding or a timeline as to when the project would be completed.Metro Redevelopment – The real estate parcel was part of a redevelopment project being considered by Metro Government.Minimum Pricing Policy – The pricing policy that was approved by the LBA’s Board of Directors and in effect as of the real estate parcel’s sale date.RFP (“Request for Proposals”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Save the Structure (“Last Look – Save the Structure”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Side Yard – The Applicant requested to acquire the LBA’s adjoining piece of land to make the Applicant’s occupied, real estate parcel larger and more valuable.SOI (“Solicitation of Interest”) – The LBA assembled two (2) or more real estate parcels and the Applicant submitted a redevelopment project for the subject parcels.For more information about each of the current disposition programs that the LBA offers, please refer to the following website pages:https://louisvilleky.gov/government/community-development/vacant-lot-sales-programshttps://louisvilleky.gov/government/community-development/vacant-structures-saleContact:Connie Suttonconnie.sutton@louisvilleky.gov

REdistribute modernizes real estate data accessibility by providing access to fresh, reliable listings from trusted MLS sources.

For Mortgage Portfolio Management, this bulk data set provides you with the foundation to: - Target the origination of new loans for your borrowers - Recapture existing borrowers with propensity modeling - Deliver tailored offerings relevant to your borrowers

Key features: • Flexible Delivery: Available via a bulk data API or directly through Snowflake • Residential or Multi-Class: Choose a residential-only dataset or full MLS coverage across all property types, including residential, multi-family, land, commercial, rentals, farm and more • Comprehensive Field Access: Explore 800+ fields providing a complete view of both residential and non-residential property data • Fast & Fresh: Stay current with daily updates sourced directly from trusted MLSs partners

The sample data covers one listing in JSON format. For access to a broader set of sample listings (10,000+), reach out to the REdistribute sales contact.

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REdistribute aims to modernize real estate data accessibility, fostering innovation and transparency through direct access to the most reliable MLS data. Our commitment to data integrity and direct MLS involvement guarantees the freshest, most accurate insights, empowering businesses across industries to drive innovation and make informed decisions.

This table holds details about individual properties, including their attributes like size and location, which are essential for valuation. Part of Real Estate Valuation Insights: Government agencies assess land parcels to determine their market value and ensure compliance with zoning regulations. This process involves evaluating properties, reviewing comparable sales, and handling valuation appeals. Each valuation is influenced by various factors, including the property's characteristics, its location, and the prevailing zoning laws. Such evaluations are critical in guiding decisions related to permits, tax assessments, and the provision of utilities connected to each property. As a result, this dataset provides a comprehensive view of how different properties are valued and the regulatory context surrounding them.

The tables in this dataset interconnect to provide a holistic view of property valuation. The 'properties' table catalogs individual land parcels, detailing their unique attributes such as size, type, and location. Each property links to the 'valuations' table, where specific appraised values are recorded, indicating the assessed worth based on various criteria. The 'comparable_sales' table includes records of recent sales of similar properties, which are essential for setting benchmarks in valuations. Meanwhile, the 'valuation_appeals' table captures instances where property owners contest their valuations, shedding light on community responses to government assessments. Lastly, the 'zoning_regulations' table outlines the specific zoning laws applicable to each property, which can significantly impact its value.

Analyzing this dataset allows developers to explore key questions such as how different property attributes affect market value, what trends exist in property sales, and how zoning regulations influence pricing. It can also help identify patterns in appeals against valuations, providing insights into community perceptions of property assessments. This synthetic dataset offers rich, practice-oriented opportunities for data analysis, visualization, and real-world applications in property management and government operations.

This table contains the legal description information including legal address (site address), deeded land area, and tax district for properties within Fairfax County. There is a one to one relationship to the parcels data. Refer to this document for descriptions of the data in the table.

The Real Estate Asset Management and Consulting industry faces a challenging environment, shaped by limited housing supply, elevated financing costs and profound structural shifts in commercial property markets. Existing home sales stagnated at a 30‑year low of 4.06 million units in 2025, as elevated mortgage rates and high home prices kept buyers sidelined and owners locked into low‑rate loans. This prolonged freeze constrained brokerage and transaction-based revenue but reinforced the appeal of income-driven strategies such as multifamily, single‑family rentals and build‑to‑rent platforms. Asset managers increasingly recalibrate their portfolios toward steady cashflow assets and credit structures that monetize resilient renter demand. At the same time, consultants emphasize operator quality, policy-risk awareness and rate‑sensitive scenario planning. Through the end of 2026, industry revenue has climbed at a CAGR of 1.1% to reach $98.3 billion, including a 1.4% gain in 2026 alone. In commercial real estate, a persistent office glut exerts pressure. National office vacancy climbs above 20.0% as hybrid work models become entrenched, eroding demand for non‑prime buildings and depressing market values. Asset managers are responding with a decisive flight to quality, trimming exposure to Class B and C properties and reallocating capital toward higher‑performing sectors such as data centers and premium office assets. Alternative investments such as private equity, REITs and data‑center‑backed strategies gained traction, generating new fee streams and boosting profit. Concurrently, technology adoption is accelerating, and consultants are deploying AI, AVMs and IoT systems to track valuations, forecast risk and improve property performance, positioning data analytics as a core competency across management teams. Asset managers and consultants will prioritize operational efficiency, property management and disciplined leverage while maintaining a barbell approach between resilient rental markets and selective for‑sale opportunities. Compliance complexity will strengthen with disclosure laws like the Corporate Transparency Act and expanding state housing regulations, spurring investment in legal, digital and compliance infrastructure. Through the five years to 2031, revenue will climb at a CAGR of 2.0% to reach $108.7 billion in 2031.

Develop Louisville Focuses on the full range of land development activities, including planning and design, vacant property initiatives, advanced planning, housing & community development programs, permits and licensing, land acquisition, public art and clean and green sustainable development partnerships.

Parcel ownership, assessor, and transaction data for over 150 million US properties, covering almost every US state (excluding Alaska and Hawaii). Includes owner names, mailing addresses, parcel IDs, APNs, acreage, property coordinates, building details, mortgage history, historical sale prices, sale dates, seller names, and title company names.

People typically purchase residential properties for two reasons: to live in or invest. However, both purposes necessitate careful consideration before deciding because high financial costs are involved, and housing loans are typically considered necessary for this purpose. Customers’ demands are constantly changing, becoming more complicated with higher requirements. The focus of this research is on tourism real estate selection. This market in Vietnam is still new and emerging and has encountered numerous issues regarding government policy, finance, and land authorization for constructing, owning, and managing. Because the form of tourism real estate is still new, customers are hesitant about investing in or buying these properties. Hence, to compete in the current fiercely real estate industry, real estate firms must understand their customers’ expectations by frequently involving customer research in the company’s strategy. However, there is still a lack of research on the connection between these factors and individual expectations in the well-known philosophy of the Theory of Planned Behavior (TPB), leading to behavioral intentions. Therefore, to fulfill the gap in the previous literature, this paper aims to investigate the connection between these factors with core variables of TPB, hence, addressing the current problems in the real estate industry. 471 valid respondents in Vietnam were collected for data analysis through two survey approaches. PLS-SEM was used to test hypotheses due to the relationship complication in the conceptual models. The results show that government policy influences attitudes and perceived behavioral control, whereas social infrastructure affects social norms and perceived behavioral control. Moreover, Fengshui ambient condition also positively influences all three core factors: attitudes, social norms, and perceived behavioral control. Finally, these factors impact on intention to buy tourism real estate. Through results, this paper has developed a purchase intention model through social aspects of the tourism real estate industry. In addition, this paper demonstrates the connection between social factors and individuals’ expectations for a purchase intention, providing the importance of the government’s role, architecture style, and social infrastructure in the marketing literature of the real estate industry. As a result, managers and governments need to take advantage of new releases of government regulations in time to enhance customers’ positive attitudes toward purchasing tourism real estate. Moreover, social infrastructure and Fengshui conditions are crucial to establishing social norms and perceived control, aiming to leverage the intention to purchase tourism real estate. Thereby, recommendations of marketing strategies based on these findings were suggested to attain the optimal result for sales. Finally, this research also includes some limitations. Hence, suggestions for further research were also provided, such as possible moderation, possible mediating effects, or control of data bias.