BR: Number of Residential Home Sales: Sao Paulo data was reported at 10,401.000 Unit in Feb 2025. This records an increase from the previous number of 6,755.000 Unit for Jan 2025. BR: Number of Residential Home Sales: Sao Paulo data is updated monthly, averaging 2,635.500 Unit from Jan 2004 (Median) to Feb 2025, with 254 observations. The data reached an all-time high of 11,397.000 Unit in Oct 2024 and a record low of 622.000 Unit in Jan 2017. BR: Number of Residential Home Sales: Sao Paulo data remains active status in CEIC and is reported by The Trade Union of Housing. The data is categorized under Global Database’s Brazil – Table BR.RKA007: Real Estate: São Paulo Residential Home Sales. [COVID-19-IMPACT]

Do you want to explore and predict real estate data of the biggest city of south emisphere, 4th largest in the world? Sao Paulo - Brazil has over 14,000 official real state transactions per month. This dataset shows REAL transactions and values registered in the city hall (it is not advertising scrapping). That means you will be dealing with real market values, aside of expeculations. You can predict property prices, check the most valued or devalued districts, look for features that affect prices the most, find trends on the different type of properties and much more. The data is quite recent, from May/22 to Oct/22.

Column descriptions: tax_id: tax id at the city hall registers street_name: street name where the property is located street_number: property street number complement: complement like apartment number, block or tower in an apartment building, etc. district: zone or district in the Sao Paulo city, where the property is located reference: general reference of the property zip_code: zip code transaction_nature: legal motivation for that transaction like a simple buy/sell, or a transmission of rights, person-company transferences, etc. transaction_value_BRL: real value of the transaction in BRL (Brazilian Reais) date: date of the transaction cadastral_value: property value in the city hall registers in BRL (Brazilian Reais) tax_base_value: base value for transaction tax calculation in BRL (Brazilian Reais) mortgage_type: mortgage type, if any mortgage_value: value in BRL (Brazilian Reais) of the mortgage registry_number: real estate registration office id property_id: property id in the real estate registration offices city_hall_status: status of the property according to the city hall land_area_m2: area of the property in squared meters (m2) front_length_m: front length of the property, facing the street in meters (m) ideal_fraction: fraction of the total property transactioned area_built_m2: property built area in squared meters (m2) description_1: occupation description description_2: type of property year_built: year of the construction conclusion

Context

Housing prices per meters squared in several districts in São Paulo - Brasil from 2018 to 2019.

Content

Bairro: District; preco: Price per meters squared in R$ (Reais, Brazil's currency); Data: Date, the day was inserted artificially to comply with the Date format in R language. Dormitorios: Number of bedrooms.

Acknowledgements

The data was adapted by me having Secovi-SP as the source (http://www.secovi.com.br/pesquisas-e-indices/estudos/estudo-de-precos-de-imoveis-de-terceiros).

Brazil Number of Housing: Southeast: São Paulo: House data was reported at 13,027.887 Unit th in 2018. This records an increase from the previous number of 12,917.581 Unit th for 2017. Brazil Number of Housing: Southeast: São Paulo: House data is updated yearly, averaging 12,917.581 Unit th from Dec 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 13,027.887 Unit th in 2018 and a record low of 12,483.741 Unit th in 2016. Brazil Number of Housing: Southeast: São Paulo: House data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF009: Number of Housing: by Type: Southeast.

Description in English: This dataset contains approximately 28,000 records of apartment prices in São Paulo, Brazil, extracted from Zap Imóveis. The dataset provides detailed information about the apartments, including the following columns:

• ID: Unique identifier of the property on the website. You can access the full listing by substituting the number after "id-" in a URL like this: https://www.zapimoveis.com.br/imovel/venda-apartamento-4-quartos-paraiso-zona-sul-sao-paulo-sp-340m2-id-**2749550460**/

-*created_date*: Date when the listing was created. - Price: The listed price of the apartment. - below_price: A boolean value indicating whether the property is below the average price (true or false). - Area: Apartment size in square meters. - Adress: Full address, including street name, number, neighborhood, and city. - Bedrooms: Number of bedrooms. - Bathrooms: Number of bathrooms. - Parking_Spaces: Number of parking spaces. - extract_date: Date when the data was scraped. This dataset offers valuable insights into São Paulo's real estate market.

Descrição PT-BR: Este dataset contém aproximadamente 28 mil registros de preços de apartamentos em São Paulo, Brasil, extraídos do site Zap Imóveis. Ele fornece informações detalhadas sobre os imóveis, incluindo as seguintes colunas:

ID: Identificador único do imóvel no site. É possível acessar o anúncio completo substituindo o número após "id-" em um link como este: https://www.zapimoveis.com.br/imovel/venda-apartamento-4-quartos-paraiso-zona-sul-sao-paulo-sp-340m2-id-**2749550460**/

• created_date: Data de criação do anúncio.
• Price: Preço listado do apartamento.
• below_price: Um valor booleano indicando se o imóvel está abaixo do preço médio (verdadeiro ou falso).
• Area: Tamanho do apartamento em metros quadrados.
• Adress: Endereço completo, incluindo rua, número, bairro e cidade.
• Bedrooms: Número de quartos.
• Bathrooms: Número de banheiros.
• Parking_Spaces: Número de vagas de garagem.
• extract_date: Data em que os dados foram coletados. Este dataset oferece insights valiosos sobre o mercado imobiliário de São Paulo.

BR: Number of Residential Home Sales: Sao Paulo: 2 Beds data was reported at 6,955.000 Unit in Feb 2025. This records an increase from the previous number of 5,092.000 Unit for Jan 2025. BR: Number of Residential Home Sales: Sao Paulo: 2 Beds data is updated monthly, averaging 1,214.500 Unit from Jan 2004 (Median) to Feb 2025, with 254 observations. The data reached an all-time high of 7,402.000 Unit in Oct 2024 and a record low of 264.000 Unit in Jul 2004. BR: Number of Residential Home Sales: Sao Paulo: 2 Beds data remains active status in CEIC and is reported by The Trade Union of Housing. The data is categorized under Global Database’s Brazil – Table BR.RKA007: Real Estate: São Paulo Residential Home Sales.

The Brazil Residential Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Villas & Landed Houses, Apartments & Condominiums), by Price Band (Affordable Housing, Mid-Market, and Luxury), by Mode of Sale (Primary (New-Build), and More), and by Key Cities (São Paulo, Brasília, and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

BR: Residential Home Sales: Sao Paulo: Value data was reported at 5,279.200 BRL mn in Feb 2025. This records an increase from the previous number of 2,854.200 BRL mn for Jan 2025. BR: Residential Home Sales: Sao Paulo: Value data is updated monthly, averaging 1,087.350 BRL mn from Jan 2004 (Median) to Feb 2025, with 254 observations. The data reached an all-time high of 5,991.000 BRL mn in Mar 2024 and a record low of 281.800 BRL mn in Oct 2008. BR: Residential Home Sales: Sao Paulo: Value data remains active status in CEIC and is reported by The Trade Union of Housing. The data is categorized under Global Database’s Brazil – Table BR.RKA007: Real Estate: São Paulo Residential Home Sales.

The Brazil residential real estate market, valued at $59.61 billion in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.40% from 2025 to 2033. This growth is fueled by several key factors. Firstly, a burgeoning middle class with increasing disposable income is driving demand for housing, particularly in urban areas experiencing significant population growth. Secondly, government initiatives aimed at stimulating the construction sector and improving access to mortgages are contributing to market expansion. Furthermore, a preference for modern, amenity-rich housing developments is shaping construction trends, with developers focusing on sustainable building practices and incorporating smart home technologies to cater to evolving consumer preferences. However, challenges remain. High inflation and interest rates can impact affordability, potentially dampening demand, especially in the higher-priced segments like villas and landed houses. Furthermore, bureaucratic hurdles and land scarcity in certain regions could restrain overall market growth. Market segmentation reveals significant opportunities within both the apartments and condominiums segment, driven by affordability and convenience, and the villas and landed houses segment, appealing to higher-income buyers seeking larger spaces and greater privacy. Leading developers are strategically adapting their offerings to meet this diverse demand. The competitive landscape is characterized by a mix of large, established players such as MRV Engenharia and Cyrela Brazil Realty, and smaller, specialized developers. These companies are continually innovating to maintain their market share, focusing on factors like location, design, and amenities to attract buyers. The ongoing expansion of Brazil's major cities and the government's focus on infrastructure development will further shape market dynamics over the forecast period, offering significant investment opportunities. Analyzing the historical period (2019-2024) alongside the forecast period provides a comprehensive understanding of market trends, revealing both the cyclical nature of the real estate sector and the longer-term growth trajectory driven by demographic and economic forces. This understanding is crucial for investors and developers seeking to navigate this dynamic and promising market. Recent developments include: July 2023: The Brazilian President committed to converting abandoned public buildings into affordable housing units as he enacted a law for the construction of two million homes by 2026 under the My House My Life initiative. Depending on family income, financing options will range from USD 35,000 to USD 73,000, with interest rates varying between 4% and 8.16% annually for families with higher loan amounts.March 2023: As a leader in the high-income sector in Brazil, JHSF invested in the newly launched Reserva Cidade Jardim, set to be completed by the second half of 2026. This development represents the highest-priced product per square meter offered by JHSF and is expected to make a significant impact in São Paulo. Prices per square meter vary depending on the unit size and start at USD 9,671. Situated within a lush green reserve spanning 20,000 sq. m, the size of each unit ranges from 455 to 1,300 sq. m. The buildings offer floor plans with city views, and residents will have access to Hotel Fasano's amenities, including tennis, beach tennis, squash, basketball courts, and a 25-meter swimming pool. Renowned architects such as Sig Bergamin, Murilo Lomas, and Pablo Slemenson are behind the project's design.. Key drivers for this market are: Increase in the Development of Cost-effective Housing Initiatives, Government Programs and Policies Advancing the Market. Potential restraints include: Increase in the Development of Cost-effective Housing Initiatives, Government Programs and Policies Advancing the Market. Notable trends are: Public Sector Initiatives Accelerating Market Growth.

This dataset contains information about rental properties in São Paulo, Brazil. The data was extracted from the QuintoAndar platform using web scraping techniques on May 1st, 2023. The dataset includes several useful pieces of information, such as the property's address, district, area, number of bedrooms, garage availability, monthly rent, type of property, and total cost.

The dataset can be used for various analyses, such as understanding the average rental prices in different districts or identifying the most common types of properties in certain areas. Additionally, the data can be used to train machine learning models that predict rental prices based on property characteristics.

It's important to note that since the data was obtained through web scraping techniques, there may be errors or incomplete information. Therefore, it's recommended that users of the dataset verify the information before using it for analysis or model training. Nevertheless, this dataset is a valuable source of information for anyone interested in analyzing the real estate market in São Paulo.

Link of the webscrapping project: QuintoAndar-WebScrapping

GitHub LinkedIn

Este conjunto de dados contém informações sobre aluguel de imóveis em São Paulo, Brasil. Os dados foram extraídos da plataforma QuintoAndar usando técnicas de web scraping em 1º de maio de 2023. O conjunto de dados inclui várias informações úteis, como o endereço do imóvel, o bairro, a área, o número de quartos, a disponibilidade de garagem, o preço mensal do aluguel, o tipo de imóvel e o custo total.

O conjunto de dados pode ser usado para diversas análises, como entender os preços médios de aluguel em diferentes bairros ou identificar os tipos de imóveis mais comuns em determinadas áreas. Além disso, os dados podem ser usados para treinar modelos de aprendizado de máquina que prevejam os preços de aluguel com base nas características do imóvel.

É importante observar que, como os dados foram obtidos por meio de técnicas de web scraping, pode haver erros ou informações incompletas. Portanto, é recomendável que os usuários do conjunto de dados verifiquem as informações antes de usá-las para análises ou treinamento de modelos. No entanto, este conjunto de dados é uma fonte valiosa de informações para quem está interessado em analisar o mercado imobiliário em São Paulo.

Link do projeto de WebScrapping: QuintoAndar-WebScrapping

GitHub LinkedIn

Dataset Presentation: Prices and Characteristics of Apartments in São Paulo

This dataset contains detailed information about prices and various characteristics of apartments in São Paulo, Brazil. The data was collected through a personal search, covering variables such as neighborhood, number of bedrooms, square footage, sale price, among other attributes contained in the dictionary file, for analysis of the real estate market in the region.

The dataset can be used for several purposes, including exploratory analyses to identify price patterns by region, correlations between property characteristics and their values, and the construction of predictive models for price inference.

Enjoy! I hope it is useful for some purpose in your Data Science studies.

Florianópolis, SC, and São Paulo, SP, had the most expensive housing per square meter in Brazil in September 2023. The average square meter price of residential real estate in Florianópolis cost almost ****** Brazilian reals, whereas in Sao Paolo, it was about ***** Brazilian reals. From the ** cities under observation, Salvador, BA, had the most affordable housing, with the average house price at ***** Brazilian reals. Overall, house prices in Brazil have risen year-on-year since 2018.

BR: Number of Residential Home Sales: Sao Paulo: 3 Beds data was reported at 681.000 Unit in Feb 2025. This records an increase from the previous number of 213.000 Unit for Jan 2025. BR: Number of Residential Home Sales: Sao Paulo: 3 Beds data is updated monthly, averaging 518.000 Unit from Jan 2004 (Median) to Feb 2025, with 254 observations. The data reached an all-time high of 2,726.000 Unit in Dec 2009 and a record low of 55.000 Unit in Apr 2020. BR: Number of Residential Home Sales: Sao Paulo: 3 Beds data remains active status in CEIC and is reported by The Trade Union of Housing. The data is categorized under Global Database’s Brazil – Table BR.RKA007: Real Estate: São Paulo Residential Home Sales.

This dataset contains information about real estate transactions in São Paulo in the first quarter of 2023. The dataset includes information about the location of the transaction, the type of transaction, the value of the transaction, the date of the transaction, the type of financing used, the type of property involved, the built-up area of ​​the property, the year the property was built, and the geographic coordinates of the property.

For organizational reasons, I only considered residential properties and only purchase and sale or auction transactions.

Brazil Real Estate and Smart Housing Market valued at USD 50 Bn, driven by urbanization and smart tech, with growth in key cities like São Paulo and Rio de Janeiro.

Apartment Sales Database (2022-2023)

This repository contains a database that has been compiled to record information about apartment sales during the period from 2022 to 2023. The database is a valuable source of information for analyses and studies related to the real estate market during this timeframe.

Database Contents The database includes detailed information about apartment sales transactions, including:

Registration Number (SQL): 140,901 non-null values of type float64 Number: 140,901 non-null values of type float64 Complement: 118,571 non-null values of type object Neighborhood: 92,515 non-null values of type object ZIP Code: 140,901 non-null values of type float64 Nature of Transaction: 140,901 non-null values of type object Transaction Value (as declared by the taxpayer): 140,901 non-null values of type object Transaction Date: 140,901 non-null values of type object Built Area (m²): 140,901 non-null values of type float64 Usage Description: 140,901 non-null values of type object Transmitted Proportion (%): 140,901 non-null values of type float64

Objective The main purpose of this database is to provide a reliable source of information about apartment sales transactions conducted between 2022 and 2023 in the specified region.

These data can be used for various purposes, including:

Real estate market analyses Property pricing and appreciation studies Evaluation of sales trends Academic research on the real estate market."

You can obtain more information in: https://github.com/joaoalbertofs/sp_apartments_for_sale

Vila Olimpia, Pinheiros, and Vila Nova Conceição were the most expensive neighborhoods to rent an apartment in Sao Paulo, Brazil, in October 2022. The square meter rent of an apartment in Vila Olimpia cost on average ** U.S. dollars per month, about **** U.S. dollars above what a renter in Jardim Paulista would have to pay.

From the 2000s, the Brazilian housing market has undergone significant changes that allowed the resumption of construction growth, the number of units built and sold. These changes were made possible due to a number of changes in urban and housing policies, especially in the expansion of the supply of housing finance, allowing the incorporation of a larger portion of the population in access to housing. However, the effects of these recent housing policies are not clear yet. On the one hand, the growth in the value of real estate was widespread, reaching levels comparable to the major worldwide centers, especially in large Brazilian cities and metropolitan areas. On the other hand, there is little knowledge about the quantitative effects of this model. That means that it is still unknown whether the share of homeowners has increased significantly, with a consequent reduction in the number of rented homes. To this end, this article proposes an initial exploratory analysis using data from the 1991, 2000 and 2010 Demographic Censuses. The objective is to assess whether these policies have altered the dynamics of occupation conditions in households in the metropolitan scale. We analyzed data from the three largest metropolitan areas (Belo Horizonte, Sao Paulo and Rio de Janeiro) in the country, comparing the changes between central and peripheral cities. The text is structured on the discussion of the housing market in Brazil, including the innovations in terms of public policies in recent period and on our own analysis of census data, indicating their potential and limits to deal with housing issues.

Itaim Bibi, Pinheiros, and Moema were the most expensive neighborhoods for residential real estate in São Paulo, Brazil, as ************. Prospective home buyers in Itaim Bibi would have to pay on average ***** U.S. dollars per square meter, while in Bela Vista, the same amount of space would cost them 1,000 U.S. dollars less.

Abstract This study examines the housing market in the Metropolitan Region of São Paulo, which is considered a research laboratory due to its extent, variety of companies and municipal profiles, institutional frameworks, urban and housing policies. The urban real estate dynamics is analyzed in periods of expansion and deceleration of the real estate sector in the 2000s, focusing on specificities of processes involving the built environment in the cities of the region. A multi-scalar analysis was carried out, with macroeconomic and sectorial data, and a periodization was organized to characterize elements of the private housing supply, real estate agents and companies’ strategies by period and in different markets (mature and weak), as well as general trends. Changes in agents’ strategies and product profile were observed according to expansion or deceleration periods and city/market size.