Parcl Labs

Which zip codes have the highest institutional ownership? Yesterday, The Wall Street Journal published "A Wall Street Landlord Bought Your Neighbor's House. It's a Mixed Blessing." Using Parcl Labs data, they identified where large corporate owners (1000+ home portfolios) are concentrated across America. While institutions own just ~1% of homes nationally, their influence in specific neighborhoods tells a different story... 👀 36% of their national portfolio in just 6 metros 👀 Half of their portfolio in only 12 metros 👀 53 zip codes where they own at least 1,000 units 👀 ~12% of their portfolio in these 53 zips (out of 41,642 U.S. zip codes) 👀 In 7 of these zips, they own at least 1 in 10 homes… This concentration matters. For a property operator, knowing an institution owns homes somewhere in your metro area isn't actionable. But discovering they own three developments within a mile of your properties changes your strategy—you're now competing for renters with one of the most sophisticated real estate operators on the planet. These hyperlocal ownership patterns matter whether you're competing with institutional owners, investing/partnering with them, researching their impacts, or living in neighborhoods where they operate. We saw this impact firsthand last year—a case the WSJ examines: VineBrook's sell-off. In one Milwaukee zip code, they represented nearly a third of all listings and cut prices by up to 20%, showing how a large owner's sudden exit can create meaningful price volatility in local markets. That was last year. Now, our API is tracking a notable uptick in institutional for sale activity across some key markets. We may publish research on these emerging patterns in the coming days 👀 Don’t want to wait for our analysis to drop? Want to know if your markets are among the 53 zip codes with the highest institutional ownership? Sign up for our API… It provides institutional ownership data for every U.S. zip code, updating in real-time. Before Parcl Labs, this granular investor data didn’t exist. No more flying blind. WSJ article and API access in comments below. & If you want the code to pull those 53 zips, shoot me a note at jason@parcllabs.com

🏘️ 💰What happens to neighborhoods when Wall Street moves in? We partnered with The Wall Street Journal to find out, identifying 53 zips where institutions own 4-12% of homes—and their impact on these markets. Read here👇

📍🚀 Excited to announce that Address Search is now live in the Parcl Labs API. The problem we set out to solve is deceptively complex. Property data and housing events are fragmented across thousands of sources, each using different, messy address formats. We solved this first with our unit level indexing system - mapping, deduping, and transforming events, attributes, and ownership insights to create clean, integrated data histories for every residential property in the US. Our users needed a more targeted way to access this data - they wanted to lookup individual addresses or match their internal addresses to our clean data. Sounds simple, right? Here's a real example: "2535 waterfall drive, spring hill, FL 34608" Simple? Now consider: "2535 waterfal drive, spring hil FL" "2535 waterfal dr springhill FL 34602" Hundreds of other variations... All these need to resolve to the exact same property ID. Multiply that across 100M+ properties. For context: Entire big companies exist just to solve address verification. I believed our team could use bleeding edge tech to build a 100x better developer experience - and deliver it cheaper and faster than anyone else. Our requirements were intense: ✅ Sub-second matching against 100M+ address indices ✅ Zero-tolerance for false positives ✅ Self-improving performance ✅ Efficient at scale The result? An address search system that's: ⚡️ Lightning fast (95% of queries resolve in <100ms) 🔄 Handles any address format you throw at it 🤖 Gets smarter with each query Real examples of what early user teams are already building off this new endpoint: 🚀 Real-time address verification in property apps 🚀 Automated underwriting systems 🚀 Property details for listing platforms 🚀 Internal portfolio data enrichment We're just getting started. Very excited about the potential use cases that this will empower for our API Community. Massive shout out to Bhagya Sharma, Zhibin Dai, and Dawson who absolutely knocked it out of the park in a very hard sprint to make this happen. Ready to try it? 🔗 Get your API key: link in comments 📖 Docs: link in comments 🤝 Help: Email me directly at jason@parcllabs.com. I know address matching for housing data is a massive pain - I'm personally committed to getting your team up to speed on a faster, better, cheaper way to solve it.

Which housing markets are in balance across the US right now? Over the past few days, Parcl Labs highlighted markets showing signs of distress - places where supply is surging, demand is dropping, and sellers are slashing prices. But there's another side to this story that deserves attention. Many of you asked: Which markets are at supply-demand equilibrium? While some major markets have seen dramatic shifts in the past year (i.e., Florida), some areas are cruising along with less YoY disruption... Let's look at these markets where YoY fundamentals remain relatively stable. Our criteria: 📊 YoY supply (inventory) - demand (sales) gap under 25% For context, national gap: 40.3% Top 10 Most Stable Markets (YoY): 1️⃣ Chicago: +4.0% supply, +1.6% demand (2.4% gap) 2️⃣ Springfield: +9.0% supply, -0.4% demand (9.4% gap) 3️⃣ Milwaukee: +10.5% supply, +0.1% demand (10.4% gap) 4️⃣ Detroit: +6.9% supply, -5.4% demand (12.3% gap) 5️⃣ Boise: +20.8% supply, +8.1% demand (12.7% gap) 6️⃣ Boston: +17.4% supply, +3.9% demand (13.5% gap) 7️⃣ Akron: +12.3% supply, -4.3% demand (16.5% gap) 8️⃣ Worcester: +12.7% supply, -4.0% demand (16.7% gap) 9️⃣ Poughkeepsie: +5.9% supply, -12.1% demand (18.0% gap) 🔟 Provo: +23.5% supply, +4.7% demand (18.9% gap) Want to see the full national picture? We've just released our complete matrix of all 100 US housing markets - including new month-over-month ranking shifts. Check out where your market stands and how it's trending. #housingmarket #realestate #housingdata

At Parcl Labs, we've identified 17 markets where YoY supply (for-sale inventory) is up, YoY demand (sales) is down, and sellers appear motivated to adjust based on price cut activity. Our algorithm analyzed the top 100 US markets, focusing on supply/demand imbalances and price cut trends. Here's how the supply/demand delta looks for the 17 markets our algorithm found to be most at-risk: 1. Knoxville, TN: 74.3% gap (63.4% supply surge, 10.9% demand drop) 2. Denver, CO: 67.6% gap (59.8% supply increase, 7.8% demand decrease) 3. Tulsa, OK: 67.0% gap (46.2% supply increase, 20.8% demand decrease) 4. Palm Bay, FL: 63.7% gap (47.2% supply increase, 16.5% demand decrease) 5. McAllen, TX: 63.1% gap (26.5% supply increase, 36.6% demand decrease) 6. Tampa, FL: 62.3% gap (53.0% supply increase, 9.3% demand decrease) 7. Albuquerque, NM: 61.4% gap (41.3% supply increase, 20.1% demand decrease) 8. Orlando, FL: 59.7% gap (51.5% supply increase, 8.2% demand decrease) 9. Oklahoma City, OK: 58.7% gap (47.9% supply increase, 10.8% demand decrease) 10. Lakeland, FL: 56.1% gap (48.0% supply increase, 8.1% demand decrease) 11. North Port, FL: 56.0% gap (37.0% supply increase, 19.1% demand decrease) 12. Dayton, OH: 55.5% gap (55.7% supply increase, 0.2% demand increase) 13. Charlotte, NC: 55.1% gap (45.4% supply increase, 9.7% demand decrease) 14. Dallas, TX: 54.7% gap (35.4% supply increase, 19.3% demand decrease) 15. Sacramento, CA: 54.2% gap (50.7% supply increase, 3.5% demand decrease) 16. Miami, FL: 52.7% gap (44.0% supply increase, 8.7% demand decrease) 17. Houston, TX: 51.1% gap (31.1% supply increase, 20.0% demand decrease) Despite these local imbalances, our data shows that supply-demand gaps are actually narrowing across the US compared to last month. The national gap decreased from 44.5% to 40.3%. Notably, Florida, which continues to dominate the watchlist with 6 markets, is showing signs of relative stabilization MoM. For example: Tampa's gap decreased from 67.6% to 62.3% Orlando's gap decreased from 70.2% to 59.7% Miami's gap decreased from 56.7% to 52.7% This Florida data does not yet include impacts from recent hurricanes… this is a dynamic we will be monitoring very closely in the coming weeks/months. For a deeper look into these trends and their potential impact on the US housing market, read our full report in the comments. The analytics behind this research is open-source and built on our API. If you're curious about supply-demand gaps in your local market, you can explore the data yourself: link to API and the open source code is also in the comments.

The Parcl Labs team developed an open-source algorithm to detect distressed housing markets. Our algo taps directly into the Parcl Labs API, scanning for: 📈 Major YoY supply (for sale inventory) / demand (sales) imbalances 💰 High price cut activity Last month, our research made national news. The Wall Street Journal featured our supply-demand analysis prominently in three separate articles on Florida's housing market dynamics. We've just refreshed the algo and published our latest findings. Here's the full executive summary… Executive Summary (October Report): This report is the fourth installment of Parcl Labs' US Housing Supply Demand Landscape, leveraging the most real-time data in the real estate industry. This report highlights key residential real estate themes, focusing on shifting supply and demand trends identified by our open-source Distressed Market Identifier Algorithm. What's changed since our September report: 1️⃣ Supply demand coming more into balance. Month on month, trends have not moved dramatically, but nationally, the supply demand gap has decreased modestly from 45% to 40%. Additionally, key laggards have also stabilized. 2️⃣ Florida is not getting worse, but data excludes any hurricane impacts. Florida, as a region, continues to have the largest gap with respect to supply and demand; however, trends haven't gotten worse month over month. In fact, the gap has decreased modestly in key metros like Tampa, Miami and Orlando. That said, these figures do not reflect any impact related to hurricane Helene and Milton which created historic damage. It's too early to tell how much supply has come offline and how demand will react given the nature of these storms and insurance premium hikes. 3️⃣ Net new weakness is scattered across the country. New regions flagged for weakness in our analysis were in a diverse set of regions and include: Sacramento, CA, Dayton, OH, McAllen, TX Albuquerque, NM. Note that demand growth in McAllen was particularly weak (-35% y/y vs the national average of about 10%) We will continue to monitor these regions to see if the data begins to form a trend worth exploring deeper. 4️⃣ The national price cut rate rose slightly from 36.77% to 36.95% of inventory since last month, with all 17 identified markets exceeding this benchmark. Using the moving average of the last 3 weeks of data, Florida leads, though Tampa's rate dipped to 49.49% (from 51.17%). Denver, flagged last month as an emerging concern, increased from 45.96% to 47.82%. Texas markets showed reduced price cuts (Dallas from 47.11% to 41.08% driven largely by influx of new inventory and Houston from 39.36% to 38.89%) despite ongoing sales declines, suggesting current adjustments may not yet meet buyer expectations. Full report in comments and key charts attached. Check them out. The algo is open-source. Run it yourself. Questions or collaboration ideas? Email jason@parcllabs.com

Yesterday, The Wall Street Journal featured Parcl Labs data in an article on Tampa's housing market and potential hurricane impacts. Read the full article below 👇

A couple weeks ago I saw a crazy stat from Parcl Labs: Austin-area homebuilders had completed roughly 76,000 new units since the start of 2020, expanding the area's housing stock by more than 8%. That's a colossal feat for a city as large as Austin, a pandemic-era boomtown that saw home prices skyrocket over the past few years. Prices in Austin are now down from a year ago, which has been painful for people who bought near the peak and homebuilders looking to offload inventory. But letting some air out of the bubble will turn out to be a great thing for Austin in the long run. The slowdown, experts told me, is a sign of a healthy market, an example of how cities can dodge a true housing crisis by allowing developers to do what they do best: build, build, build. Here's my story for Business Insider. Thanks to Jason Lewris 🧪, Doreen Sidney, Sean Kelly-Rand, Keith Hughes, and others for talking with me for this one. https://lnkd.in/ezHKqffr #realestate #housingmarket #austin #austinhomes

Interesting Overlap 👀: Institutional Investors and At-Risk Housing Markets A Parcl Labs study from earlier this year revealed a very high concentration of institutional investors in six key markets: Atlanta, Phoenix, Dallas, Houston, Charlotte, and Tampa. These markets alone account for ~1 in 3 of all institutional homes across the US. This week, our national analysis identified 17 markets showing major YoY supply vs. demand imbalances and high price cut activity, indicating motivated sellers. All six institutional hotspots made this at-risk list. Market-level activity in these institutional hotspots: 🌴 Tampa: +57.8% YoY supply, -9.8% YoY demand, 49.1% inventory with price cuts 🌵 Phoenix: +41.4% supply, -12.9% demand, 43.6% inventory with price cuts ⭐️ Dallas: +36.3% supply, -20.8% demand, 44.0% inventory with price cuts 🛢️ Houston: +32.5% supply, -32.0% demand, 37.5% inventory with price cuts 🏙️ Charlotte: +42.8% supply, -14.1% demand, 39.2% inventory with price cuts 🍑 Atlanta: +48.0% supply, -3.2% demand, 35.2% inventory with price cuts All these markets show significant supply/demand imbalances and high price cut activity. Adding context, our research last week on top institutional operators' current for-sale market activity revealed that large SFR operators seem motivated to reduce some exposure in Florida and Texas markets. This data suggests these sophisticated players, with access to top-tier data and analytics, are actively adjusting strategies in markets our research flags as at-risk. Tracking these institutional moves and understanding the market context driving them provides huge alpha in today's real estate market. The good news? We offer both via our Parcl Labs API. You can refresh this analysis daily, gaining real-time insights into market trends and institutional strategies. Interested in leveraging this data for your own analysis? Sign up for our API (link in comments) or shoot me an email (jason@parcllabs.com) to learn about how your team can access this data to get an edge.

Parcl Labs developed an open-source algorithm to spot at-risk housing markets. We just reran the algorithm and published our latest research, identifying 17 housing markets showing signs of distress. Here's the story our data is telling... 🔍 The big picture: 📊 USA supply/demand imbalance is modestly worse versus July. Supply is up 30% YoY (compared to 19% in July), while demand is down 15% (versus 10% in July). 🏔️ Denver emerges as the biggest negative surprise. It now has the 2nd largest supply/demand gap, with a 60% YoY supply growth and a 10% demand shrinkage. This rapid shift puts Denver squarely in our watchlist. 🌴 Florida remains weak, with 6 of our 17 flagged markets. Tampa and Orlando continue to be standout concerns, showing persistent imbalances. 🌪️ Oklahoma is flashing red, a new development. Both OKC and Tulsa have surged into our top 10 for demand gap. OKC shows 35% supply growth with a 30% demand decline, while Tulsa has a 50% supply growth against a 20% demand decline. 🧪 Going deeper: Our algorithm analyzed the top 100 US markets, focusing on two key factors: 1️⃣ Major imbalances between YoY supply and demand 2️⃣ High price cut activity Based on these criteria, we identified 17 markets showing both out-of-balance supply/demand AND high price-cutting activity. 🏘️ Top 5 markets by supply/demand imbalance: Knoxville, TN Denver, CO Tulsa, OK Orlando, FL Palm Bay, FL ✂️ Supply surges only matter if sellers meet buyers where they're at. In price cut activity, we're seeing North Port & Tampa, FL with ~50% of inventory cut. Denver, CO & Dallas, TX aren't far behind at 44% and 43%. All 17 flagged markets are above the national average of 34.6%. 📉 How's this reflected in prices so far? Through August, markets like Palm Bay, Orlando, OKC, Tucson, and Tampa are still within 1% of all-time highs. The largest dips are in North Port (-8.64%) and Colorado Springs (-8.07%). 🔮 Parcl Labs provides the only real-time price feeds on housing markets, allowing you to watch these trends unfold live. Our mid-September snapshot shows Florida markets (Tampa & Miami) holding strong, while Denver and Houston are cooling rapidly. Find this interesting? Here's your next steps... 1️⃣ Read our full research blog for detailed findings and methodology - link in comments. 2️⃣ Run the algorithm yourself. We've open-sourced it to promote transparent housing analysis. All you need is an API key, available for free - link in comments. #RealEstateMarket #HousingTrends