Parcl Labs

Great data here from Parcl Labs. The Midwest continues its strong growth in both rental and for sale. The sunbelt remains mired by high supply and Texas and Florida markets are the worst performing markets in the nation. With that said, these markets may come charging back as new supply wanes. From recent conversations I’ve had, Nashville seems to be recovering quickly after it posted some of the weakest growth of any market 12 months ago. I’ll be watching the Texas and Florida markets closely to see if they can maintain demand in the coming months.

🔥🔬 Fresh out of 🧪 Parcl Labs: 2024 US Rental Market Year-End Review In part two of our year-end research series, we analyze rental prices across major US metros using the Parcl Labs Rental Price Feed. Here are the key takeaways: 1️⃣ National Cooling & Sunbelt Strain US rents declined -0.91% YoY, now -8.26% below peak 21 of 49 metros with rental price feed coverage saw YoY declines Sunbelt markets led the downturn: 📉 Texas: Austin: -4.94% YoY, San Antonio: -3.58%, Dallas: -1.41% 📉 Florida: 7 of 10 markets down YoY 2️⃣ Midwest Markets Show Resilience Strong performance across the region: 📈 Louisville: +9.15% YoY 📈 Cincinnati: +5.38% 📈 Cleveland: +4.98% 📈 Indianapolis: +4.95% 📈 Chicago: +4.68% 3️⃣ Institutional Markets Struggled Markets where Wall Street made big rental bets showed weakness: Tampa Dallas Phoenix Atlanta Charlotte All posted negative or minimal growth in 2024 4️⃣ Growth Markets Were Geographically Diverse Markets growing in BOTH rents + home prices: 🚀 Cleveland: +4.98% rent | +8.60% sales 🚀 Providence: +4.42% rent | +7.99% sales 🚀 San Jose: +3.13% rent | +6.75% sales 🚀 Pittsburgh: +4.20% rent | +7.26% sales 5️⃣ Decline Markets Were More Concentrated 6 of 9 markets showing drops in both metrics were in Florida Austin (-4.94% rent | -6.17% sales) was the notable non-Florida decliner Want to track these trends for your market into 2025? 📑 Full analysis: link in comments 🚀 API access: link in comments #RealEstate #HousingMarket #RentalMarket

Two key themes from our Parcl Labs 2024 US Home Price Analysis: 1️⃣ 📈 The Midwest Emerges as Price Performance Leader Historically affordable Midwest markets delivered some of the year's strongest performances: 📈 Detroit: +9.61% YoY 📈 Cleveland: +8.60% YoY 📈 Indianapolis: +7.28% YoY 2️⃣ 📉 Former Boomtowns Cool Significantly Major softening from peak prices in previously hot markets: 📉 Austin: -23.61% from peak (-6.17% YoY) 📉 Denver: -13.44% from peak (-4.56% YoY) 📉 North Port: -10.12% from peak (-6.26% YoY) 📉 Phoenix: -8.12% from peak (-0.08% YoY) A 🔑 question going into 2025 - will the boomtowns rebound, and can these Midwest markets continue their run? Track it live with free access to the Parcl Labs API: 🔗 in comments Want the full story? Read our complete analysis of home price trends across 50 US metros: 🔗 in comments #realestate #housing #housingdata

What really happened in US housing during 2024? At Parcl Labs, we're launching a 2024 review research series that cuts through the noise with real-time, hard data from our API. First up: Home Prices 📊, Powered by the Parcl Labs Price Feed. 🔗 Link to the full analysis in the comments: Regional Divides Define U.S. Home Prices in 2024: Midwest Rises as Boomtowns Cool Inside you'll find: 👀 Key price trends that shaped US housing in 2024 📊 Performance scorecards for 50 major metros and USA 📈 Daily price feed charts since 2020 Some key trends we dissect in the piece… 🇺🇸 US home prices showed resilience in 2024, despite mounting headwinds: +2.58% YoY, +4.17% YTD, though down -3.23% from summer peak. Prices remain up +44.58% since March 2020. Early price declines in H2 2024 warrant attention amid rate uncertainty. Price performance varied significantly by region: 🏆 Midwest markets emerged as price performance leaders 🌆 Key urban metros outperformed the national benchmark 🔄 Pandemic boomtowns cool 🌴 Florida markets struggle Full analysis and market-by-market breakdown in comments 👇 #HousingMarket #HomePrices #RealEstateTrends

📊 Where are sellers cutting prices most aggressively? We analyzed the top 100 US metros. Three markets show over 50% of listings with price cuts: 1️⃣ Denver: 51.5% 2️⃣ San Antonio: 51.1% 3️⃣ Austin: 50.2% More markets with significant price reductions: 4️⃣ Colorado Springs (48.3%) 5️⃣ Jacksonville (46.5%) 6️⃣ Indianapolis (46.4%) 7️⃣ Tampa (45.5%) 8️⃣ Des Moines (45.4%) 9️⃣ Charlotte (45.0%) 🔟 Deltona (45.0%) What’s going in Denver? 📉 51.5% of listings cut prices (up from 47.8% last month) 📊 42.3% more homes on market vs last year More on Denver in our market deep dive👇 https://lnkd.in/eB4kxcCM What’s going on in Austin? 📉 50.2% of listings reduced 📊 Supply growth cooling (+8.0% YoY) 💡 Demand down -34.4% YoY See our new construction impact analysis that highlights Austin👇 https://lnkd.in/eBFKVmET ICYMI: Track market stress signals in real-time with our open-source algorithm. Latest analysis here👇 https://lnkd.in/evDUqMGx #Austin #Denver #HousingTrends

At Parcl Labs, we've developed an algorithmic approach to identify potential housing market stress, leveraging our API to analyze real-time market data. Our open-source methodology focuses on two critical indicators: supply-demand imbalances and price cut activity. Here’s what we found in our latest algorithm driven analysis. 1️⃣ Algorithm Flags Fewest Markets Since Series Inception Our latest analysis identified seven markets that met our criteria of outsized YoY supply-demand gaps and above-national-average price cuts: Dallas, Orlando, Lakeland, Knoxville, Tulsa, Albuquerque, and newcomer Greenville. This list represents the lowest count since we began our analysis in June 2024, with six markets carrying over from last month. 2️⃣ Supply-Demand Dynamics Show Notable Tightening The national supply-demand gap has narrowed considerably to 33.8%, down from 40.3% last month. This shift reflects: 📈 For-sale inventory: Up 21.3% YoY 📉 Sales activity: Down 12.5% YoY 👀 Markets with >50% gap: Only 15 of the top 100 US MSAs (compared to 39 in September) This reduction in markets showing severe imbalances indicates many stressed areas are shifting to find new equilibrium points - often at adjusted (lower) price levels. 3️⃣ Regional Market Evolution: Florida & Texas An interesting narrative is emerging in Florida and Texas - while most major metros show modest improvement in monthly supply-demand balance, three markets maintain concerning stress levels in our algorithm: Dallas, Texas: 58.3% supply-demand gap 30.8% increase in supply 27.5% decrease in demand Orlando, Florida: 50.5% supply-demand gap 38.8% increase in supply 11.8% decrease in demand Lakeland, Florida: 50.7% supply-demand gap 35.4% increase in supply 15.4% decrease in demand The persistence of these imbalances, even as neighboring markets start to adjust, suggests these areas are set up for more volatility and price pressure. Recent hurricane activity in Florida has not yet created any extreme impact on supply dynamics in affected markets. 4️⃣ Price Cut Activity: Early Seasonal Acceleration The national price cut rate has increased to 38.0% of for-sale inventory, up from 36.9% in October. Key observations: 46 markets now exceed the national average (up from 45) Florida markets show highest absolute levels among flagged markets Orlando: 44.6% (down slightly from 45.4%) Lakeland: 44.1% (down from 45.2%) While price cuts typically increase heading into winter, this year's earlier onset and higher YoY levels suggest increased seller motivation across markets. 🔗 Access our complete methodology, code, and market report in the comments. #RealEstate #HousingMarket #DataAnalytics #MarketResearch

Ever wonder what % of homes for rent in your market are from accidental landlords? Quantifying this at scale is a very hard data problem - property data, ownership, sales, for sale listing data, for rent data live in many different data silos that is fragmented even within a single market. To understand it - you need to use from MANY sources of information - index the data to the unit - and construct a clean history of events that consider sale, listing, and rental events. Then analyze it and create meaning. Not easy. But that's exactly what we've built with our data ecosystem at Parcl Labs. It accelerates our ability to create unique, highly insightful metrics on what's going on in the housing market. That's how we were able to create our accidental landlord metric - what percent of single family for-sale listings convert to rentals. I've been sharing the rate of single family rental conversions (for sale to for rent) for major metros. We picked these metros specifically because they have the largest concentration of institutional operators — we're interested in this competitive dynamic 👀. Last up in our research markets - for now - is Dallas. Current rate: 6.5% of single family for-sale listings convert to rentals. Trending similar to Houston (6.7%) - both Texas markets showing upward movement through 2023-24 before recent settling. How it stacks up - current rates: Atlanta: 8.1% Houston: 6.7% Dallas: 6.5% Charlotte: 6.5% Tampa: 3.4% I've attached the chart for Dallas. If you found this series interesting and useful - you should sign up for our API: 1️⃣ Monitor and track this metric live for any market in the US 2️⃣ We share all of our research with our API community first 🔗 Free to get started - link in comments 📧 Questions about this research? Email us at team@parcllabs.com #RealEstate #Dallas #SingleFamilyRental #PropTech

More accidental landlord data - next up Charlotte Following Tampa (3.4%) and Atlanta (8.1%), Charlotte shows a 6.5% current rate of property owners converting from selling to renting - sitting right in the middle of our analyzed markets. Some context on Charlotte from other research efforts by Parcl Labs: 👀 Recently - has consistently flagged in our national housing research as a potentially distressed market - given the gap of YoY supply (listings up) and demand (sales down) and above avg price cutting activity 👀 One of the top institutional SFR markets: 4.2% of national institutional portfolios are located in Charlotte (linking those research pieces in the comments) The accidental landlord metric adds another dimension to Charlotte's story - showing how owners are responding to these market pressures - jumping from one competitive ring (for sale market) to another (competing for rentals with large sophisticated operators) Track it exclusively via the Parcl Labs API - link in comments #RealEstate #Charlotte #SingleFamilyRental #PropTech

More accidental landlord data - next up Atlanta 👀 Last week, Parcl Labs unveiled a new metric tracking "accidental landlords" - homeowners who try to sell, can't, and pivot to renting. We started with Tampa, where the current rental conversion rate is 3.4%. Of the top SFR markets, Tampa has the lowest rate by about half... In Atlanta, the current rate is 8.1%. Over the past year, the average shows ~1 in 10 for-sale single family homes converting to rentals (11.2% 1-year average). Atlanta stands as the most competitive market for large institutional SFR operators. But this metric reveals it's not just institutions - the rental landscape includes a significant layer of owners who maybe didn't plan to be landlords. Why should you care? 🏡 SFR + BTR Investors/Operators: Measure emerging rental competition 🛠️ Property Mgmt/Home Services Companies: Identify new customers/demand 🔬 Market Researchers: Monitor where housing supply is shifting between the for-sale and rental markets and the impact on prices. Have exposure in Atlanta and want to track this dynamic live? Wondering what this looks like for your market? You can only get this data from Parcl Labs via our API. Link in comments to get started - and email us at team@parcllabs.com if you have questions or need any help. #RealEstate #Atlanta #SFR #PropTech

This time last year, Parcl Labs broke a major housing story. We had just developed our institutional owner tracking capability for internal research. The data surfaced something unexpected: A large portfolio operator was driving unusual for-sale inventory spikes across Milwaukee, Pittsburgh, St. Louis, Ohio, Jackson, and Indianapolis. We caught this because our technology links thousands of obscure LLCs to their true corporate parents and then back to their unit-level housing for-sale events. That operator was Vinebrook. Today, we're expanding our true owner coverage in our API to include: ✅ Vinebrook ✅ Maymont Homes ✅ SFR3 These new entities join Tricon, Invitation Homes, Progress, AMH, and other leading institutional landlords in our coverage. Just this week, Milwaukee Sentinel cited us in a story about Vinebrook's next moves. Now you don't have to wait for the reporting - track their activity live through our API. We'll be watching. Link in comments for how you can too. #SFR