The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of real estate agents, brokers and appraisers (NAICS 53121) & offices of real estate appraisers (NAICS 53132), annual, for five years of data.

The majority of home buyers in the United States in 2024 used a real estate agent to help them find the right home to purchase. The most important skill and quality of real estate agents to 98 percent of buyers was being honesty and integrity. Responsiveness and the knowledge of the purchase process were also highly considered by home buyers.

About ** percent of real estate firms used artificial intelligence, according to a 2023 survey among 750 CFOs at major companies worldwide. Approximately ** percent of respondents shared that their firm was in early-stage adoption, while ** percent were piloting the technology. Meanwhile, about ***** percent of industry experts were not interested.

In 2023 and the first half of 2024, the largest property sale in the data center real estate market in Europe was DATA4 Paris-Saclay in Paris. In April 2023, Brookfield bought the 47,300 square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was 270 million U.S. dollars and Digital Core REIT obtained 24.9 percent from Digital Realty.

About Dataset

Dataset Overview This dataset provides a snapshot of real estate transactions in London for 2024. It includes key property details such as the number of bedrooms, bathrooms, living space size, lot size, and transaction price. Additionally, it incorporates information about property features like waterfront views, renovation history, and construction quality. Designed for educational and research purposes, the dataset offers insights into London's real estate market trends and serves as a valuable resource for data analysis and machine learning applications.

Data Science Applications This dataset is ideal for students, researchers, and professionals seeking to apply data science techniques to real-world real estate data. Potential applications include:

Exploratory Data Analysis (EDA): Investigate price trends, property characteristics, and geographical distribution of transactions. Price Prediction Models: Develop machine learning models to predict property prices based on features like size, location, and condition. Trend Analysis: Analyze historical and geographical trends in property prices and features. Geospatial Analysis: Map properties based on latitude and longitude to identify hotspots or underserved areas.

Column Descriptions

Ethically Mined Data This dataset was ethically sourced from publicly available property listings. It does not include any Personally Identifiable Information (PII) or data that could infringe on individual privacy. All information represents public details about properties for sale in London.

Acknowledgements

Data Source: Real estate data provided from publicly accessible resources. Image Credit: Unsplash for real estate-themed visuals. Use this dataset responsibly for educational and analytical purposes!

The Financial Services Commission provides information on real estate trust companies such as general real estate trust status, real estate trust financial status, real estate trust key management index information by inquiring title, base year, etc._Financial statistics Real estate trust information

Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from May 2024 to May 2025 about headline figure, sales, housing, and USA.

CN: Real Estate Investment: Shandong data was reported at 754,415.050 RMB mn in 2024. This records a decrease from the previous number of 816,886.000 RMB mn for 2023. CN: Real Estate Investment: Shandong data is updated yearly, averaging 470,831.000 RMB mn from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 981,974.960 RMB mn in 2021 and a record low of 22,329.000 RMB mn in 2000. CN: Real Estate Investment: Shandong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Summary.

In 2023, the UK Real Estate Market reached a value of USD 816.7 million, and it is projected to surge to USD 919.0 million by 2030.

Using data from Polly sourced from an independent sample of 2,085,917 people from Twitter, Reddit and TikTok in Canada, 12 months to 12th April 2024, we asked Canadian what the most desirable attributes for buying real estate in Vancouver. Most popular were Investment Opportunities (17%), Livability (16%), and High Demand (15%) were reasons given.

Quarterly data on real estate transfers and constitution of mortgages. The Real Estate Registry statistic has the participation of practically all Spanish Property Registries, that is, 1,103 offices distributed properly throughout the Spanish geography. It reflects quarterly information on real estate transfers and constitution of mortgages.

What Makes Our Data Unique?

Inmuebles24’s Mexico Real Estate Listings Data offers an unparalleled level of detail and accuracy in the real estate sector. With over 100,000 meticulously curated property listings, this dataset is designed to provide users with the most comprehensive view of the Mexican real estate market. Each listing includes detailed metadata such as property type, location, pricing, and contact information, along with additional attributes like the number of bedrooms, bathrooms, and available amenities. Our data is enriched with precise geolocation coordinates, allowing for advanced spatial analysis and mapping applications.

Our dataset stands out for its up-to-date nature, with listings scraped and refreshed regularly to ensure that buyers and analysts always have access to the latest market trends. This dynamic approach to data curation means that users can trust the data for making informed decisions, whether they are monitoring market trends, conducting investment research, or developing real estate strategies.

How Is the Data Generally Sourced?

The data is sourced directly from Inmuebles24, one of Mexico's leading real estate marketplaces. We employ a robust web scraping infrastructure that captures the full breadth of listings available on the platform. Our scraping technology is designed to extract data efficiently, ensuring that we capture every relevant detail from the listings, including images, descriptions, pricing, and metadata. Each entry is validated and cleaned to remove any duplicates or outdated information, ensuring that the dataset is both comprehensive and reliable.

Primary Use-Cases and Verticals

This Data Product is particularly valuable across several key verticals:

Real Estate Investment Analysis: Investors can leverage this dataset to identify lucrative opportunities by analyzing property prices, location attributes, and market trends.

Market Research and Trends: Researchers can use the data to track the evolution of the real estate market in Mexico, identifying shifts in pricing, demand, and supply across various regions.

Property Development: Developers can assess the market landscape, understanding where new developments might meet the most demand based on the attributes and locations of current listings.

Urban Planning: Government and city planners can utilize the geolocation data to analyze urban sprawl, housing density, and other critical metrics for sustainable development.

Real Estate Marketing: Marketers and real estate agents can tailor their strategies based on detailed insights into the types of properties available, pricing trends, and consumer preferences.

How Does This Data Product Fit into Our Broader Data Offering?

This Mexico Real Estate Listings Data Product is part of our broader commitment to providing high-quality, actionable data across various sectors and geographies. Inmuebles24’s real estate data complements our extensive portfolio of data products that cater to industries such as financial services, marketing, and location-based services. By integrating this dataset with other data offerings, users can derive even deeper insights. For example, combining real estate data with consumer behavior data could unlock new dimensions of market research, enabling a more holistic approach to understanding market dynamics.

Our broader data offering is built around the principle of providing end-to-end data solutions that empower businesses to make data-driven decisions with confidence. Whether you’re a real estate investor, a market researcher, or a developer, our data products are designed to meet your needs with precision and reliability

114 years - Kaohsiung City real estate mortgage rights setting statistics

This table contains 225 series, with data for years 1998 - 2006 (not all combinations necessarily have data for all years), and was last released on 2010-03-22. This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), North American Industry Classification System (NAICS) (3 items: Lessors of residential buildings and dwellings (except social housing projects);Non-residential leasing; Real estate property managers ...), Summary statistics (5 items: Operating revenue; Operating expenses; Salaries; wages and benefits; Operating profit margin ...).

Detailed US vacation rental property listing compilation including identifiers, valuation metrics, and tax information from OTAs.

The VR OTA Real Estate dataset provides a detailed real estate listing compilation that includes property identifiers, valuation metrics, physical characteristics, and tax information for vacation rental properties listed on OTAs.

The value of multifamily real estate investment in the United States has declined since 2021 when it peaked at 344 billion U.S. dollars. Some of the main reasons for the decline in investment included the tighter lending conditions, the increase in valuations over the past years, and the soaring construction costs. In 2024, the sector attracted nearly 143 billion U.S. dollars, accounting for more than one third of the total commercial market.

Real Estate Loans: NPL: Flat/Small Apartment: Mortgage Loans: Type < 21 m2 data was reported at 3.284 % in Feb 2025. This records an increase from the previous number of 3.164 % for Jan 2025. Real Estate Loans: NPL: Flat/Small Apartment: Mortgage Loans: Type < 21 m2 data is updated monthly, averaging 2.810 % from Jan 2014 (Median) to Feb 2025, with 134 observations. The data reached an all-time high of 10.203 % in Jul 2018 and a record low of 1.416 % in Mar 2023. Real Estate Loans: NPL: Flat/Small Apartment: Mortgage Loans: Type < 21 m2 data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI024: Financial System Statistics: Property Sector.

Quarterly data on real estate transfers and constitution of mortgages. The Real Estate Registry statistic has the participation of practically all Spanish Property Registries, that is, 1,103 offices distributed properly throughout the Spanish geography. It reflects quarterly information on real estate transfers and constitution of mortgages.

This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

The Artificial Intelligence (AI) market in the real estate industry is rapidly evolving, signifying a transformative shift in how properties are bought, sold, and managed. With a current market size reflecting substantial investment and interest, AI applications in real estate range from predictive analytics and vir