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The U.S. Housing Market just broke in two

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Key takeaways

Business

High-level thesis

The U.S. housing market has bifurcated: the South & West (Sun Belt / West Coast) are experiencing large inventory surpluses and falling prices, while the Midwest & Northeast are tight on supply and still seeing price growth. Inventory differences are the primary explanatory variable for recent price moves.

Key data & KPIs

  • Inventory surpluses (examples): Washington +64%, Tennessee +58%, Arizona +53%, Texas +52%.
  • Inventory comparison by region:
    • Midwest & Northeast listings = 215,000
    • South & West listings = 741,000 (≈ 3.45× more)
  • Supply vs pre-pandemic:
    • South & West supply roughly back to pre-pandemic levels
    • Midwest & Northeast supply down ~50%
  • Buyer demand example: West Virginia buyer demand +30% vs average
  • Top year-over-year home value growth (examples): Wisconsin +5.1%, North Dakota +5.1%, Illinois +4.5%
  • Correlation metric: R-squared = 0.48 for the relationship between inventory surplus and 1-year home value growth (inventory explains ~48% of variation)
  • Product pricing / timeline:
    • Reventure Listing Analyzer launching April 15 (beta/premium)
    • Reventure Premium: $39/month; annual pass = 15% discount
  • Claimed personal savings (host): purchased Atlanta property and saved $160k vs previous owner; $110k below 2021 price

Example listing metrics & recommended offers

  • Washington townhouse
    • Bought 2017 for $582k → listed at $835k then cut to $699k
    • Reventure fair-offer ≈ $657k
  • Nashville, Tennessee resale
    • Bought 2023 for $1.3M → sold for $985k (≈ $300k loss)
  • Jackson, TN new build
    • Listed $220k (~$163/ft)
    • Estimated payment ≈ $1,200/month
    • Recommendation: offer closer to $200k
  • New Jersey 4BR
    • Listed $499k; price/sqft $331
    • Listed +81% vs 2020 sale while ZIP +44%
    • Reventure fair-offer ≈ $422k (~$77k below list)
  • San Diego 3BR
    • Listed $989k ($688/ft) vs ZIP $587/ft
    • Reventure fair-offer ≈ $903k (~$86k discount)
    • 1-year forecast: -4%
  • Tampa 4BR
    • Listed $520k ($240/ft) vs market $198/ft (+21%)
    • Reventure fair-offer ≈ $432k (~$88k discount)
    • 1-year forecast: -4%

Frameworks, playbooks and processes

Inventory-led market segmentation (diagnostic framework)

Use relative inventory (surplus/deficit) by state or region to predict near-term price direction and classify markets into three buckets:

  • A — high-inventory / declining-price (buyers’ markets)
  • B — low-inventory / rising-price (sellers’ markets)
  • C — transitional

Apply different offer strategies depending on the bucket.

Listing analysis playbook (Reventure Listing Analyzer)

Step-by-step process used to generate recommended offers:

  1. Compare listing price per square foot to the ZIP-code market median ($/ft).
  2. Compare the owner’s requested appreciation vs actual ZIP-code appreciation to identify overpricing.
  3. Check time on market, views, and saves as demand signals (e.g., 1 day → 1,000 views / 100 saves = strong interest).
  4. Apply a short-term forecast (1-year % change) to adjust the fair offer.
  5. Output a fair market offer (recommended bid) and expected upside / discount from list.

Decision rules

  • If inventory is high in your market: negotiate aggressively; consider offering at or near 2020 price levels.
  • If inventory is low: expect competition and potential bidding wars; be prepared to offer above market or move faster.
  • In all cases: use data-driven tools (price/ft, ZIP appreciation, inventory metrics, 1-year forecast) rather than national headlines.

Actionable recommendations

  • Buyers/investors in high-inventory markets (South, West)
    • Make offers significantly below list — use price/ft and ZIP appreciation comparisons to justify offers.
    • Target properties with long time on market, large owner-appreciation gaps, and overpriced $/ft.
    • Consider offering at historical (e.g., 2020) price levels where inventory is meaningfully elevated.
  • Buyers in low-inventory markets (Midwest, Northeast)
    • Expect competition; seek value via off-market deals, speed, or waived contingencies where appropriate.
    • Focus on fundamentals driving demand: job growth, onshoring, and affordability trends.
  • Sellers in oversupplied markets
    • Prepare for price reductions and use realistic comps; monitor local inventory and adjust expectations to market $/ft.
  • All parties
    • Rely on zip-level, data-driven analysis (price/ft, inventory, short-term forecast) to form offers and negotiation strategy.

Concrete case studies & illustrative tactics

  • Washington townhouse: high local inventory forced large price cuts; analyzer suggests low-600k offers despite historic ZIP appreciation.
  • Nashville resale loss: demonstrates rapid downshifting in overbuilt / overheated local markets (significant downside potential).
  • Repeated listing breakdowns (New Jersey, San Diego, Tampa): show how price/ft vs ZIP medians plus short-term forecasts produce recommended “fair” offers often tens of thousands below list.

Marketing & product notes

  • Reventure Listing Analyzer
    • SaaS/consumer tool aimed at buyers and investors to compute fair-market offers using local inventory and price metrics
    • Premium subscription: $39/month; annual pass offered at 15% discount
    • Beta launch promoted for April 15
  • Value proposition: potential to save “tens or hundreds of thousands” on purchases by applying the methodology; host leveraged the tool to negotiate large discounts on personal purchases

Limitations & caveats

  • Correlation caveat: inventory-surplus vs price-growth R-squared = 0.48 — meaningful but not determinative; other factors (job growth, migration, climate, local policy) also matter.
  • Local heterogeneity: pockets within states can exhibit opposite dynamics; use ZIP-level metrics, not only state-level.
  • Forecast uncertainty: some markets have short-term negative forecasts (e.g., -4% 1-year examples) which are factored into fair-offer recommendations.

Sources & presenters

  • Presenter: Nick (Reventure)
  • Data/tools referenced: Reventure Listing Analyzer / Reventure.app, Zillow listings, Zillow payment estimates
  • Additional discussion sources cited: Reddit thread on Midwest migration; The Atlantic article on Midwest movement

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