Since 2000, the number of homes bought by investors in the United States has fluctuated significantly. It experienced a decrease during the financial crises of 2008 hitting its bottom in the first quarter of 2009 with ****** purchases, and it slowly recovered the number of purchases in the following years, peaking in the third quarter of 2021 with ****** purchases. Due to inflation, current purchase numbers are similar to those of the pre-pandemic times.

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 ****** square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was *** million U.S. dollars and Digital Core REIT obtained **** percent from Digital Realty.

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.

In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

• Residential Real Estate Sales
• Mortgage Foreclosures
• Residential Vacancy
• Parcel Year Built
• Parcel Condition
• Building Violations
• Owner Occupancy
• Subsidized Housing Units

The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

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.

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.

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.

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.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

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.

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 ...).

The global real estate services market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and the growing popularity of online real estate platforms. The market, currently valued at approximately $5 trillion in 2025, is projected to expand at a compound annual growth rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $9 trillion by 2033. This growth is fueled by both the residential and commercial sectors, with significant contributions from various service types, including trading and rental services. The increasing demand for professional real estate services, particularly in emerging markets, further contributes to this expansion. Technological advancements, such as the integration of artificial intelligence and big data analytics, are transforming the industry, leading to increased efficiency and improved customer experiences. Key players are adopting innovative strategies like virtual tours and property management software to cater to the evolving needs of clients. Segmentation analysis reveals a significant share held by the residential sector within the application segment, while trading services constitute a larger portion of the overall service type segment. North America and Asia-Pacific currently dominate the market, but emerging economies in regions like South America and Africa are showing promising growth potential. The market's growth, however, is not without its challenges. Regulatory changes, economic fluctuations, and the cyclical nature of the real estate market pose potential restraints. Despite these challenges, the overall outlook for the real estate services market remains positive, with consistent growth projected throughout the forecast period. The increasing adoption of technology and the growing demand for specialized services across diverse geographical areas continue to drive market expansion. The industry is undergoing a transformation, and companies are adapting their strategies to remain competitive in this dynamic landscape. Successful businesses are effectively leveraging data analytics, enhancing customer engagement, and building strategic partnerships to capitalize on emerging opportunities and maintain a robust market position.

Housing Index in Croatia increased to 214.18 points in the first quarter of 2025 from 205.01 points in the fourth quarter of 2024. This dataset provides - Croatia Housing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The reports are updated once a month, taking into account the current market information collected in the database, which is updated daily. Each report is offered for three different time periods — annual, half-year and quarter. The choice of “year” means that the report is presented for the previous two full years, for the “half year” for the two previous half-years and for the previous two quarters. The years change on 1 February, half-years change on 1 February and 1 August, and quarters on 1 February, 1 May, 1 August and 1 November. _ The statistical indicators of the Latvian real estate market are composed of:_ * Apartment transaction prices; * Transaction prices of individual residential houses; * Individual building land transaction prices; * Commercial building land transaction prices; * Prices of industrial enterprises building land transactions; * Agricultural land transaction prices; * Forestry land transaction prices; * Breakdown of transactions by purpose of real estate use of the transaction object; * Breakdown of transactions by transaction object. Statistic indicators: * Number of transactions used; * Minimum value; * Maximum value; * Average value; * Cut-off mean (5 %); * Cut-off mean (10 %); * Moda (adjusted the most common value based on the breakdown of data in intervals and frequencies within the specified intervals); * Median; * Price level. _Data sets with the breakdown of transactions by transaction object NIP and the breakdown of transactions by object of the transaction _ are reflected in one of the statistical indicators (the title specifies which): * Number of transactions; * Total land area; * Total amount of transactions. Projects of transactions: * Apartments; * Buildings; * Buildings and engineering structures; * Engineering structures; * Groups of premises; * Land; * Land with buildings; * Land with buildings and engineering structures; * Land with engineering structures. The tables show only areas where the number of transactions to be used to determine values is at least three. Published data are informative in nature and are produced automatically without manual transaction analysis. The SLS assumes no legal or financial responsibility for the consequences of using the published information and making the relevant conclusions. All transaction amounts and prices are in EUR. Information on the possibility to obtain data on real estate market transactions and transaction objects is available on the VZD website.

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

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.

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.