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This dataset contains real estate information in the Philippines as of 2024/03/20. It includes the description, location, prices, number of bedrooms and bathrooms, floor and land area, and geographical coordinates.
The data was scraped from Lamudi using Python and Beautiful Soup 4. The geocoding was done by GeoPy.
This dataset was inspired by other real estate datasets in the PH and serves as an update to them. You can freely use this for market analysis, property valuation, and trend prediction.
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TwitterThe price of residential real estate in the Philippines has been on the rise since 2016. In 2024, the price index reached ***** points, indicating a significant increase from ***** index points in 2016. The Residential Real Estate Price Index (RREPI) is used to measure the rate at which the price of residential properties changes over time. It is also an indicator to assess the country's real estate and credit market situation. Prices of housing units The price of housing units in the Philippines is not measured in absolute values but using the Residential Real Estate Price Index (RREPI) with a base value of 100 as of the first quarter of 2014. Among the different types of housing units, duplex houses registered the highest RREPI, followed by condo units. Meanwhile, the prices of single-detached and attached houses experienced its highest rate of growth in 2024. The condominium market Condominium units are common in metropolitan cities in the Philippines, such as Metro Manila, Cebu, and Davao. The demand for such properties is fueled by urbanization, leading to an expansion of commercial and industrial hubs. Foreign investments and sustained remittances from migrant workers also contribute to the appetite for condominium properties. In Metro Manila alone, there were roughly ******* completed condominium units in 2023, and **** of the occupied units belong to the lower mid-income segment. Meanwhile, the residential hubs of Cebu and Davao had the highest condo stock among other provinces in the country in 2022.
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Philippines real estate market valued at USD 90.5 Bn, driven by urbanization and infrastructure. Expected growth with FDI and sustainable developments.
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This is a dataset that contains Philippines Real Estate info
This was scraped from lamudi.com.ph using Python & Beautiful Soup 4 The python script can be found on my github page: https://github.com/arl7d/portfoilioprojects/tree/main/Web_scraping_Philippine_real_estate
I also imported this data to Tableau for geospatial analysis: https://public.tableau.com/app/profile/thomas.karlo.blanco/viz/PhilippinesRealEstatePriceMap/PriceMap
This was inspired by similar housing datasets available here in Kaggle, aimed to eventually create price predictions on Philippines real estate via machine learning algorithms
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Key information about House Prices Growth
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Philippines real estate and affordable housing market valued at USD 8 Bn, driven by urbanization, population growth, and government initiatives for low-income housing.
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Residential Property Prices in Philippines increased 7.55 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Philippines Residential Property Prices.
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TwitterThe residential real estate price index in the Philippines experienced a *** percent growth in comparison to the previous year. Housing prices in the country have been increasing year-on-year since 2017, except for 2021. The Residential Real Estate Price Index (RREPI) is used to measure the rate at which the price of residential properties changes over time. It is also an indicator to assess the country's real estate and credit market situation.
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Philippines online classifieds for real estate market valued at USD 90 Bn, anticipated to reach USD 131 Bn by 2033, driven by internet penetration, urbanization, and PropTech adoption.
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The ASEAN Office Real Estate Market Report is Segmented by by Building Grade (Grade A, Grade B, and Grade C), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by Country (Indonesia, Vietnam and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
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Philippines Real Estate and PropTech Market valued at USD 90.5 Bn, driven by urbanization, foreign investments, and PropTech innovations for residential and commercial growth.
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Philippines Real Estate Software Market is expected to grow during 2025-2031
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Graph and download economic data for Residential Property Prices for Makati, Philippines (QPHN628BIS) from Q1 2008 to Q2 2025 about Makati, Philippines, residential, HPI, housing, price index, indexes, and price.
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Philippines Real Estate and PropTech Platforms Market valued at USD 7.5 billion, driven by urbanization, middle-class growth, and digital platforms for property transactions.
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TwitterThe real estate price index of single-detached or attached houses in the Philippines was at ***** index points in 2024. The price of single-detached or attached house units fluctuated over the given period of time. The Residential Real Estate Price Index (RREPI) is used to measure the rate that the price of residential properties is changing over time. It is also an indicator to assess the country's real estate and credit market situation.
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Philippines Luxury Real Estate and Villas Market valued at USD 5 Bn, driven by rising incomes, HNWI, and foreign investments in key areas like Metro Manila and Cebu.
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Philippines Real Estate and Smart Office Spaces Market valued at USD 15 Bn, driven by urbanization, flexible workspaces, and tech integration for productivity.
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Complete database of Bureau of Internal Revenue (BIR) zonal values across the Philippines. Over 2 million records covering all cities, municipalities, and barangays with historical data from 2015-2025. Official government-verified property valuation data.
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The ASEAN office real estate market, valued at approximately $100 million in 2025, is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 9% from 2025 to 2033. This expansion is fueled by several key factors. The region's burgeoning economies, particularly in Vietnam, Indonesia, and the Philippines, are attracting significant foreign direct investment, driving demand for modern office spaces. Technological advancements and the rise of the digital economy are also contributing to increased office space needs, particularly in tech hubs across the ASEAN nations. Furthermore, a growing middle class and a young, increasingly skilled workforce are bolstering the demand for high-quality office accommodations in major cities like Singapore, Bangkok, Ho Chi Minh City, and Jakarta. However, challenges remain. Supply chain disruptions and global economic uncertainties could impact the market's trajectory. Additionally, varying regulatory frameworks across different ASEAN countries may pose obstacles for seamless market integration and development. Despite potential challenges, the long-term outlook remains positive. Strategic investments in infrastructure development, coupled with government initiatives to enhance business environments, are expected to sustain market growth. The increasing adoption of flexible workspaces and sustainable building practices will also shape future market dynamics. Competition among established players like Savills, CBRE, Hines, and local developers is expected to intensify, leading to innovations in design, technology integration, and tenant service offerings. This competitive landscape, along with the underlying economic strength of the region, promises continued expansion for the ASEAN office real estate market in the coming years. While precise regional breakdowns are unavailable, Singapore and Thailand are likely to dominate in terms of market share given their established economies and mature real estate markets. Vietnam, Indonesia, and the Philippines represent high-growth areas with significant potential. Recent developments include: October 2023: The Instant Group (a leading global platform for flexible workspaces) secured a three-year managed office agreement with Arvato Systems Malaysia. The existing office space of Arvato Systems Malaysia in Kuala Lumpur, a pivotal development center for the Arvato Systems Group, is expected to undergo renovation and expansion. Expected to be finished in 2024, the total office space of Arvato Systems Malaysia will be 26,720 sq. ft, with 15,963 sq. ft undergoing refurbishment and an additional 10,757 sq. ft being custom-fit for the company's needs.January 2023: TAM Group, a GSSA (general sales and service agent) based in Hong Kong, expanded its presence in Southeast Asia by opening three new offices. Responding to the increased demand in the region, TAM Group partnered with Thailand’s GP Group and Vietnam’s TP Cargo Transport Services to establish offices in key strategic areas, including Bangkok, Ho Chi Minh City, and Hanoi.. Key drivers for this market are: 4., Increasing Demand for Co-Working Spaces. Potential restraints include: 4., Increasing Demand for Co-Working Spaces. Notable trends are: Demand for Co-Working Spaces is Driving the Market.
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Philippines Gross Value Added: 1985p: Real Estate data was reported at 5,630.000 PHP mn in Dec 2010. This records an increase from the previous number of 5,333.000 PHP mn for Sep 2010. Philippines Gross Value Added: 1985p: Real Estate data is updated quarterly, averaging 2,231.500 PHP mn from Mar 1981 (Median) to Dec 2010, with 120 observations. The data reached an all-time high of 5,630.000 PHP mn in Dec 2010 and a record low of 1,321.000 PHP mn in Jun 1985. Philippines Gross Value Added: 1985p: Real Estate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A056: SNA 1968/1993: Gross Value Added: by Industry: 1985 Price.
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License information was derived automatically
This dataset contains real estate information in the Philippines as of 2024/03/20. It includes the description, location, prices, number of bedrooms and bathrooms, floor and land area, and geographical coordinates.
The data was scraped from Lamudi using Python and Beautiful Soup 4. The geocoding was done by GeoPy.
This dataset was inspired by other real estate datasets in the PH and serves as an update to them. You can freely use this for market analysis, property valuation, and trend prediction.