The recommendations to buy hotel real estate of different types in the United States in 2025 were significantly higher than to sell. Nearly ** percent of industry experts surveyed recommended buying upscale hotels in 2024, while ** percent recommended selling and ** percent recommended holding.

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.

Germany rose 2.5% of Production Value of Buying and Selling of Own Real Estate in 2019, from a year earlier.

European Number of Enterprises of Buying and Selling of Own Real Estate Share by Country (Units (Enterprises)), 2023 Discover more data with ReportLinker!

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.

Forecast: Number of Enterprises of Buying and Selling of Own Real Estate in the UK 2024 - 2028 Discover more data with ReportLinker!

Brazil Loans: Real Estate Financing: Value: for Purchase: North: Tocantins data was reported at 10,588,734.000 BRL in Nov 2018. This records an increase from the previous number of 7,570,682.000 BRL for Oct 2018. Brazil Loans: Real Estate Financing: Value: for Purchase: North: Tocantins data is updated monthly, averaging 14,669,245.500 BRL from Dec 2009 (Median) to Nov 2018, with 108 observations. The data reached an all-time high of 45,773,232.000 BRL in Dec 2014 and a record low of 4,148,614.000 BRL in Sep 2017. Brazil Loans: Real Estate Financing: Value: for Purchase: North: Tocantins data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB062: Loans: Real Estate Financing: Value: for Purchase: by Region. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

LiveOverture is a reputable property data solutions provider that offers a wealth of information on property listings, market trends, and real estate data. The company's online presence provides insights into the property market, featuring thousands of listings, property sales data, and market analysis.

By leveraging LiveOverture's online resources, users can gain a deeper understanding of property values, trends, and market conditions, making it an invaluable resource for real estate professionals, investors, and individuals looking to buy, sell, or rent properties.

The dataset shows the real estate price for the second half of 2023, recorded through the Observatory of the Real Estate Market (OMI) managed by the Revenue Agency, which specifically processes and analyses all the technical and economic data and information concerning the value of a property and the rental market recorded in the Municipality of Milan.

The data shown in the Dataset are divided into:

The conservative state indicated by capital letters refers to the most frequent one of ZONE The Market Value is expressed in Euro/sqm referring to the Net Area (N) or Gross Area (L) The presence of the asterisk (*) next to the typology indicates that the relative Market or Rental Values have been corrected. For the Box, Parking spaces and Garage types, the different appreciation of the market according to the conservation status is not significant For the Shops type, the O/ N /S judgment is to be understood as referring to the commercial position and not to the conservation status of the real estate unit The IMO is to be considered as a full-fledged tool, through which the Revenue Agency ensures the transparency of the real estate market. The information provided shall be the sole property of the Agency. The customer is not allowed to sell, rent, rent, transfer, transfer the contents of the Database or assume some other obligations to third parties.

The information contained in the database can be used by the customer, also for the purpose of their processing provided that, in the case of publication, the relevant source is cited. For any further contractual conditions and use it is possible to connect to the link https://www.agenziaentrate.gov.it/portale/web/guest/fiche/fabbricatiterreni/omi/banche-data/quotas-real estate/conditions-contractual-qi.

The Latin American residential real estate market, valued at $477.77 million in 2025, is projected to experience robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and government initiatives promoting affordable housing. The market is segmented by property type (apartments & condominiums, landed houses & villas) and geography (Mexico, Brazil, Colombia, and Rest of Latin America). Brazil and Mexico, with their large populations and developing economies, are expected to dominate the market, contributing significantly to the Compound Annual Growth Rate (CAGR) of 8.32% projected from 2025 to 2033. Strong demand from millennials and growing tourism in key areas are also contributing factors. However, challenges remain, including economic volatility in some regions, fluctuating interest rates impacting mortgage affordability, and infrastructure limitations in certain areas. The competitive landscape includes both large national developers like Cyrela, MRV Engenharia, and Grupo Sadasi, along with international players like JLL and CBRE, creating a dynamic and evolving market. Significant growth opportunities exist within the affordable housing segment, catering to the expanding middle class. Further market expansion is anticipated through the development of sustainable and smart homes, reflecting growing environmental awareness and technological advancements. While regulatory hurdles and bureaucratic processes can present challenges, the long-term outlook for the Latin American residential real estate market remains positive, driven by the region's demographic trends and continued economic development. Strategic investments in infrastructure development and supportive government policies will be crucial in unlocking the market's full potential. Detailed analysis of specific countries within the region will reveal nuances in market performance, highlighting areas of exceptional opportunity or risk. This report provides a detailed analysis of the dynamic Residential Real Estate Market in Latin America, covering the period 2019-2033. With a base year of 2025 and a forecast period spanning 2025-2033, this in-depth study leverages historical data (2019-2024) to offer valuable insights into market trends, growth drivers, and challenges. Keywords: Latin America real estate market, residential real estate Latin America, Latin American housing market, Brazilian real estate, Mexican real estate, Colombian real estate, apartment market Latin America, condo market Latin America, real estate investment Latin America. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

The dataset shows the real estate price for the first half of 2015, recorded through the Real Estate Market Observatory (OMI) managed by the Revenue Agency, which specifically processes and analyses all the technical and economic data and information concerning the value of a property and the rental market recorded in the Municipality of Milan. The data shown in the Dataset are divided into: * The conservative state indicated by capital letters refers to the most frequent one of ZONE * The Market Value is expressed in Euro/sqm referring to the Net Area (N) or Gross Area (L) * The presence of the asterisk (*) next to the typology indicates that the relative Market or Rental Values have been corrected. * For the Box, Parking spaces and Garage types, the different appreciation of the market according to the conservation status is not significant * For the type Shops the judgment O / N / S is to be understood as referring to the commercial position and not to the conservation status of the real estate unit The IMO is to be considered as a full-fledged tool, through which the Revenue Agency ensures the transparency of the real estate market. The information provided shall be the sole property of the Agency. The customer is not allowed to sell, rent, rent, transfer, transfer the contents of the Database or assume some other obligations to third parties. The information contained in the database can be used by the customer, also for the purpose of their processing provided that, in the case of publication, the relevant source is cited. For any further contractual conditions and use it is possible to connect to the link https://www.agenziaentrate.gov.it/portale/web/guest/fiche/fabbricatiterreni/omi/banche-data/quotas-real estate/conditions-contractual-qi.

Irambati is a leading real estate company that provides property listings and market insights to individuals seeking to buy, sell, or rent properties in India. As a prominent player in the Indian real estate market, Irambati's website features a vast array of data on residential and commercial properties, including prices, locations, and amenities.

The company's data repository includes a wide range of property types, from apartments to independent houses, and covers major cities and towns across India. Irambati's expertise in the Indian real estate market, combined with its vast database of property listings, makes it an invaluable resource for anyone seeking to make an informed decision about their property needs.

Abstract

Title: Cotality Smart Data Platform (SDP): Owner Transfer and Mortgage

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C.

Formerly known as CoreLogic Smart Data Platform: Owner Transfer & Mortgage.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, Cotality collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. Cotality augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from Cotality's parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see Cotality 2024 GitLab.

Usage

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C. The Owner Transfer data provides historical information about property sales and ownership-related transactions, including full, nominal, and quitclaim transactions (involving a change in title/ownership). It contains comprehensive property and transaction information, such as property characteristics, current ownership, transaction history, title company, cash purchase/foreclosure/resale/short sale indicators, and buyer information.

The Mortgage data provides historical information at the mortgage level, including purchase, refinance, equity, as well as details associated with each transaction, such as lender, loan amount, loan date, interest rate, etc. Mortgage details include mortgage amount, type of loan (conventional, FHA, VHA), mortgage rate type, mortgage purpose (cash out first, consolidation, standalone subordinate), mortgage ARM features, and mortgage indicators such as fixed-rate, conforming loan, construction loan, and private party. The Mortgage data also includes subordinate mortgage types, rate details, and lender details (NMLS ID, Loan Company, Loan Officers).

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

Mortgage records can be linked to a transaction using the MORTGAGE_COMPOSITE_TRANSACTION_ID.

For more information about included variables, please see:

• cotality_sdp_owner_transfer_data_dictionary_2024.txt
• cotality_sdp_mortgage_data_dictionary_2024.txt
• Mortgage_v3.xlsx
• Owner Transfer_v3.xlsx

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For a count of records per FIPS code, please see cotality_sdp_owner_transfer_counts_2024.txt and cotality_sdp_mortgage_counts_2024.txt.

For more information about how the Cotality Smart Data Platform: Owner Transfer and Mortgage data compares to legacy data, please see 2025_Legacy_Content_Mapping.pdf.

Bulk Data Access

Data access is required to view this section.

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.

Inhabitants of the Ibizan municipality of Santa Eulalia del Río needed almost 60 years of household income to pay off their mortgage in 2018, making this coastal town the least affordable municipality to purchase a property in Spain. In contrast, the most affordable area to purchase a home in Spain that year was located in Andalusia. Furthermore, the central region of Castile-La Mancha appeared several times on the list of most affordable municipalities to rent in Spain.

The most expensive coastal areas Out of the five main islands that comprise the Balearic province, ***** are listed as the most expensive coastal areas of Spain. Ibiza and Formentera’s coasts ranked as the least affordable coasts in terms of property prices, with their average price per square meter amounting to nearly *** thousand euros. The Basque province of Gipuzkoa was the second most expensive coastal area of Spain, with an average price that reached approximately **** thousand euros per square meter as of the first quarter of 2019.

Spain: the rebirth of a broken property market After a long period of time in which Spain’s real estate prices increased sharply, the market was hit by the global financial crisis of 2007, making the Spanish property bubble collapse and damaging home value. According to the European Mortgage Federation (EMF), real estate prices in Spain initiated a solid recovery in 2015, reaching **** house price index points in 2018 from a lowest point of **** index points recorded in 2014. The property market has made great progress, but it is still far off the rest of its European counterparts, and it is positioned, in fact, at the bottom of the European list of the EMF’s house price index, which is led by Sweden at ***** index points. In 2016, 200 thousand euros could still buy a *** square-meter home on average in Spain, whereas it would only allow for a ** square-meter apartment in France.

House Price Index YoY in the United States decreased to 2.60 percent in June from 2.90 percent in May of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data was reported at 300,199,238.000 BRL in Nov 2018. This records a decrease from the previous number of 430,860,188.000 BRL for Oct 2018. Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data is updated monthly, averaging 466,304,946.500 BRL from Aug 2009 (Median) to Nov 2018, with 112 observations. The data reached an all-time high of 1,060,855,005.000 BRL in Aug 2013 and a record low of 150,969,022.000 BRL in Aug 2009. Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB051: Loans: Real Estate Financing: for Purchase: by Region. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

Brazil Loans: Real Estate Financing: Units: for Purchase: Residential Building: Market Rate data was reported at 632.000 Unit in Nov 2018. This records a decrease from the previous number of 952.000 Unit for Oct 2018. Brazil Loans: Real Estate Financing: Units: for Purchase: Residential Building: Market Rate data is updated monthly, averaging 1,300.000 Unit from Dec 2009 (Median) to Nov 2018, with 108 observations. The data reached an all-time high of 2,859.000 Unit in Aug 2013 and a record low of 427.000 Unit in Dec 2009. Brazil Loans: Real Estate Financing: Units: for Purchase: Residential Building: Market Rate data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB076: Loans: Real Estate Financing: Units: for Purchase: by Region: Residential Building: Market Rate. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

Forecast: Wages and Salaries of Buying and Selling of Own Real Estate in the UK 2024 - 2028 Discover more data with ReportLinker!

The United States real estate brokerage market, valued at $197.33 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033. This growth is driven by several key factors. A robust housing market, fueled by increasing population and urbanization, continues to generate significant demand for brokerage services. Technological advancements, such as improved online platforms and data analytics, are streamlining operations and enhancing efficiency for both brokers and consumers. The rise of iBuyers and proptech companies, while posing some competition, also contribute to market expansion by creating innovative solutions and attracting a broader customer base. Furthermore, a shift toward specialized services, catering to niche markets like luxury properties or commercial real estate, is expected to contribute to market diversification and growth. The market is segmented into residential and non-residential sectors, with sales and rental services further dividing each segment. Major players such as Keller Williams, RE/MAX, Coldwell Banker, and Berkshire Hathaway Home Services maintain significant market shares, competing through brand recognition, extensive networks, and technological capabilities. However, certain restraints are present. Interest rate fluctuations and economic uncertainty can impact buyer confidence and consequently, transaction volume. Increasing regulatory scrutiny and compliance costs also add operational challenges for brokerage firms. Competition from independent agents and disruptive technologies demands continuous adaptation and innovation to maintain market competitiveness. The residential segment is expected to remain the largest, driven by consistent demand, while the non-residential sector may show slightly slower growth given fluctuations in commercial investment and development cycles. The sales segment will likely maintain its predominance, although the rental market is anticipated to see growth, reflecting evolving consumer preferences and rental market trends. The ongoing evolution of the market will likely see greater consolidation among larger firms and an increased focus on technological solutions, enhancing transparency, customer experience, and overall market efficiency. This comprehensive report provides an in-depth analysis of the United States real estate brokerage market, covering the period from 2019 to 2033. It leverages extensive market research and data analysis to offer valuable insights into market trends, growth drivers, challenges, and key players. The report is essential for investors, industry professionals, and anyone seeking a comprehensive understanding of this dynamic sector. The base year for this analysis is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Search terms optimized for maximum visibility include: real estate brokerage, US real estate market, real estate trends, residential real estate, commercial real estate, real estate agents, real estate investment, real estate technology, M&A real estate, and real estate market analysis. Recent developments include: May 2024: Compass Inc., the leading residential real estate brokerage by sales volume in the United States, acquired Parks Real Estate, Tennessee's top residential real estate firm that boasts over 1,500 agents. Known for its strategic acquisitions and organic growth, Compass's collaboration with Parks Real Estate not only enriches its agent pool but also grants these agents access to Compass's cutting-edge technology and a vast national referral network., April 2024: Compass has finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Notable trends are: Industrial Sector Leads Real Estate Absorption, Retail Tightens Vacancy Rates.