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Henry Keenan
Henry Keenan
CEO, RED Atlas
Published Jun 17, 2023
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As the CEO of Puerto Rico's first comprehensive real estate data platform, I'm committed to providing the most accurate and timely insights into Puerto Rico's housing market. I believe it's essential to shed light on the harsh realities we face, as only through a clear understanding can we take strategic action. Recent data published by our firm suggests a more serious downturn in our housing market than previously indicated by the Office of the Commissioner of Financial Institutions (OCIF).
An article published on May 29th in El Nuevo Día , using Office of the Commissioner of Financial Institutions of Puerto Rico data, stated an 11% drop in housing sales from the same period in 2022. However, our analytics at RED Atlas portray a grimmer reality, challenging this projection.
We harness artificial intelligence (AI) at RED Atlas to process diverse datasets and offer valuable insights. Our analysis reveals a significant 40.5% plunge in transaction volume from Q1 2022 to Q1 2023, contrasting starkly with the OCIF's 11% reported decline. We anticipate the situation worsening in Q2 2023, with a projected drop of 63.4% year-on-year.
Our data also signals a decrease in the average transaction price, pointing to a devaluation in housing prices. A 20.4% decline is observed from Q1 2022 to Q1 2023, with a forecasted decrease of 17.9% in Q2 2023. This is contrary to the OCIF's data, which implied a slight 2% rise in prices.
The number of transactions mirrors the steep drop in housing sales. We've seen a 25.3% drop from the first quarter of 2022 to 2023, which is twice as much as the OCIF reported. Looking ahead to the second quarter of 2023, we're predicting a 55.5% decrease, which really challenges the OCIF's estimates.
The considerable disparities between our findings and the OCIF's point to potential differences in data sources or analytical methods. It is essential that these discrepancies be thoroughly investigated to ensure an accurate understanding of our housing market.
At RED Atlas, we're revolutionizing the property market landscape through AI. We leverage machine learning and big data to analyze and refine data from diverse sources, including the CRIM and Karibe databases, providing the most accurate market trends. Our commitment to transparency and accuracy extends beyond using governmental databases. We also incorporate real estate listing data into our analysis, offering a comprehensive and real-time view of market fluctuations in pricing, demand, and supply.
We are striving to deliver actionable analytics that guide strategic decision-making for investors, realtors, and homebuyers alike. Our use of advanced algorithms to curate various data sources underlines our dedication to provide the most reliable insights into Puerto Rico's real estate market. It's this commitment to transparency, accuracy, and innovation that has driven our efforts at RED Atlas since day one, and will continue to do so.
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32 Comments
Ed Tinus
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3mo
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I've been seeking assistance from any realtor that actually works with me on the purchase of a home in the Fajardo area. For the last two years and have been ignored. This is an issue that I believe am not the only person experiencing this. It's not fair housing practices?
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Bob Gevinski
Founder of Paraiso Realty
4mo
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The PR market is so geographically fragmented, and I suspect Dorado, Ocean Park and Palmas are ruining the curve. How geographically specific can you get with your data? For example, can you break out Vieques separately?
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Thaxter Sharp
Opportunistic Investor and Advisor to General Partnerships
8mo
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Thank for this great report HenryI hope you are allowed to stay on the island is spite of reporting what the data actually tells you!
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Richard Candia
Seasoned Professional in Multiple Fields - How can I help your organization?
8mo
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The post plus the reactions makes me think that #REDAtlas is going to be a success! Transparancy or at least an open conversation about the data!
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Wilfre Carrasquillo
Chief Executive Officer at Wolfpack Media PR
8mo
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Thanks for sharing
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