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Zillow Forecast: 309 US Housing Markets to See Price Drops — Who Wins and Who Loses

Zillow Forecast: 309 US Housing Markets to See Price Drops — Who Wins and Who Loses

Zillow Forecast: 309 US Housing Markets to See Price Drops — Who Wins and Who Loses

Zillow’s forecast: a fracture in the real estate USA market

Zillow’s latest projection is a wake-up call for anyone tracking the real estate USA story: over the next year prices are expected to fall in 309 of the 894 metro housing markets the company tracks, while 572 are forecast to rise and just 14 are expected to hold flat through March 2027. The national headline is blunt — zero growth versus last month’s +0.5% forecast — but what matters more is the regional split. Our analysis finds this report exposes a clear divide between pandemic boomtowns and affordable, economically active smaller metros.

Why this matters now

We think this is important because it changes how buyers, sellers and investors should allocate risk. When supply and demand shift at the ZIP-code level, national averages provide little guidance. Zillow’s map shows where negotiating leverage is moving and where structural risks are compressing prices. If you own property in a boom-era city you should not assume a return to 2021 dynamics; if you’re scouting affordable growth markets, you have to judge whether local job catalysts are durable.

Which markets Zillow expects to fall — and why

Zillow highlights sharp declines concentrated among pandemic-era boomtowns, largely in the Sun Belt and Gulf Coast. The steepest projected losses are:

  • Houma, Louisiana: -7.0%
  • Lake Charles, Louisiana: -5.6%
  • Austin, Texas: -4.6%
  • New Orleans, Louisiana: -4.4%
  • Shreveport, Louisiana: -3.6%
  • Denver, Colorado: -3.0%

The drivers here are a mix of overbuilding during the COVID years, rising housing insurance costs, climate exposure and local affordability erosion. Two facts from the report stand out:

  • Louisiana’s average homeowner’s insurance premium hit $10,964 in 2024, and 30–40% of mortgage transactions in the state are collapsing because of insurance costs.
  • In Houma 99% of properties face a risk of severe flooding over the next 30 years, with exposure rising faster than the national average.

Those numbers are not abstract. They affect underwriting, borrower eligibility and monthly housing costs. Zillow points to New Orleans where a median-priced home that cost about $1,400 per month with a 20% down payment and average insurance in 2020 now runs $2,154 per month. That raises the income required to qualify from $57,000 to more than $86,000, while the metro’s median household income is $61,602. That gap forces buyers out of the market.

Austin is the clearest example of a rapid reversal. The city’s median home price jumped from $325,000 to $550,000 between 2020 and 2022, then fell sharply. Zillow values a typical Austin home at about $508,500 now; the forecasted 4.6% further decline would slice roughly $23,000 from that value. Redfin data cited in the report shows 128% more sellers than buyers in Austin and homes averaging over 90 days on market, a durable sign of supply outpacing demand.

Where prices are expected to rise — job catalysts and affordability

The Sun Belt’s losses are mirrored by gains in less glamorous places across the Midwest and upstate New York. The metros Zillow flags for the largest near-term gains include:

  • Syracuse, New York: +5.0%
  • Rockford, Illinois: +4.5%
  • Atlantic City, New Jersey: +4.5%
  • Rochester, New York: +4.0%
  • Utica, New York: +3.5%

Syracuse is the standout. Zillow links the city’s strength to Micron Technology’s planned semiconductor megafab, which is expected to bring more than 100,000 workers earning six-figure incomes to Central New York. That kind of demand shock is rare and it shows in the numbers: Syracuse prices were up 27.9% year-over-year as of March 2026 and the median home price remains $179,000, well below national medians.

Rockford has a different profile: established manufacturing employers plus lower price points. With a median above $236,000 and still nearly 65% cheaper than the national median, the city is drawing buyers priced out of Chicago suburbs and seeking more house for the money.

The pattern is clear. Markets with credible, local economic catalysts or durable affordability are attracting buyers who can no longer afford overheated coastal metros.

What this means for buyers, sellers and investors

The split Zillow identifies changes incentives and tactics.

For buyers:

  • You have more negotiating leverage in many former boomtowns. Redfin recorded roughly 630,000 more sellers than buyers in February 2026 — the largest gap since 2013 — and the seller surplus rose to 46.3% from 29.8% a year earlier. That translates into price concessions, incentives and longer inspection windows in some metros.
  • In climate- and insurance-exposed areas, run the numbers on total monthly housing costs, not just mortgage payments. Insurance and local property-tax shifts can erase the advantage of a lower principal.
  • Consider markets with durable employers and attainable medians. A median home at $179,000 in Syracuse bought into an active economic boom is not the same bet as a speculative purchase in an overbuilt Sun Belt suburb.

For sellers:

  • Price discovery is local. National headlines mean less when your ZIP code is in either the Sun Belt correction or the Midwest upcycle.
Buy in USA for 299000$
299 000 $
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107
Buy in USA for 220000$
220 000 $
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133
Buy in USA for 625000$
625 000 $
1
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78
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63
Buy in USA for 550000$
550 000 $
4
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258
4
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303
If you must sell in a correcting market, realistic pricing and honest disclosures about insurance and flood risk help close deals.
  • If you own near-term exposure to properties with high insurance premiums or flood risk, expect longer marketing times and more failed transactions.
  • For investors and portfolio managers:

    • Reassess geographic concentration risk. Portfolios concentrated in pandemic-era boom metros face valuation pressure and liquidity risk.
    • Look for markets with job-led demand growth rather than fad migration patterns. Micron in Central New York is an example of employment-led demand that supports long-term rental and resale values.
    • Factor in carrying costs: insurance, higher vacancy risk and longer listing times reduce net returns.

    Regional drivers and structural risks

    Understanding why different metros are moving in opposite directions helps with risk assessment.

    Key drivers of decline:

    • Overbuilding during 2020–2022 produced inventory in markets where demand has softened.
    • Mortgage rates remain high relative to the recent low-rate era, cutting buyer affordability and reducing pool of qualified purchasers.
    • Insurance costs climbed, especially in catastrophe-prone states; Louisiana’s $10,964 average premium is a stark example.
    • Climate exposure is translating into real estate risk: repeated flooding and storm risk affect both livability and insurability.

    Key drivers of growth in smaller metros:

    • Local economic catalysts: semiconductor plants, manufacturing investment and large employer expansions create sustained demand for housing.
    • Relative affordability: buyers priced out of major metros are shifting to second-tier cities where they can afford more square footage and better yield on rental properties.
    • Migration flows within regions: buyers from expensive suburbs are pushing into nearby affordable manufacturing hubs.

    Risks to the rising markets

    These growth stories have risks too. Job announcements can underdeliver, investment timelines can slip and new-employee estimates can be optimistic. For example, building a semiconductor megafab requires years of development and skilled labor pipelines. If immigration of skilled workers or supplier networks lags, housing demand could disappoint.

    Practical strategies: how to navigate the split market

    Here are specific actions for different players, based on current data.

    Buyers with a two- to five-year horizon:

    • Prioritize affordability-adjusted neighborhoods where monthly costs are sustainable even if insurance increases. Use a total cost model that includes insurance and taxes.
    • In markets with high seller surplus, submit offers with shorter contingencies and proof of funds to stand out, but keep negotiation on price and closing credits.

    Buyers seeking rental yield or long-term appreciation:

    • Target metros with clear employment growth drivers. Verify employer timelines, local supply pipelines and historic absorption rates.
    • Run stress tests on rental cashflow that include vacancy spikes and higher maintenance and insurance.

    Sellers in weak markets:

    • Price to realistic comps, not peak-era values. Be prepared to supply repair and insurance documentation early.
    • Consider leaseback or rent-to-own structures to widen buyer pool when demand is slow.

    Investors reallocating portfolios:

    • Trim exposure in markets with sustained oversupply and climate risk.
    • Rebalance toward affordable metros with verified job growth but keep position sizes conservative until demand is proven.

    What lenders and insurers are doing — and why it matters

    The Zillow findings are affecting underwriting and insurance practices. Lenders are scrutinizing debt-to-income ratios with insurance premiums rising; in Louisiana, the collapse of 30–40% of mortgage transactions over insurance costs indicates how underwriting rules tighten when non-mortgage housing costs spike. Insurers are pulling back from high-risk coastal and flood-prone areas, which reduces coverage availability and raises premiums for remaining policyholders.

    That tightening feeds back into the housing market in two ways:

    • Potential buyers may be priced out by the total monthly housing cost even if they qualify for the mortgage principal.
    • Sales can fail late in the process when insurance quotes arrive, increasing transaction risk and cost for both buyers and sellers.

    How to read Zillow’s forecast — limitations and uses

    No forecast is perfect. Zillow’s model uses a range of local indicators and market activity to predict short-term price movement, but it cannot foresee policy changes (like expanded flood insurance subsidies), large swings in mortgage rates, or sudden corporate moves. Use it as a directional tool for regional risk allocation rather than a deterministic price guarantee.

    That said, the scale of the divergence is meaningful: 309 metros projected to decline is a large share of the 894 watched. The data point to one simple reality — housing markets are more local now than national, and savvy actors need to be hyper-local in their research.

    Frequently Asked Questions

    Q: How many US metros does Zillow track and how many are forecast to fall?

    A: Zillow tracks 894 metro housing markets. Of those, 309 are forecast to see price declines, 14 to hold flat, and 572 to rise through March 2027.

    Q: Why is Austin expected to keep falling?

    A: Austin overbuilt during the pandemic-era boom. Prices peaked, then corrected sharply. Zillow reports Austin has lost roughly 24% from its 2022 peak, is showing 128% more sellers than buyers, and average days on market exceed 90 days. These factors indicate persistent supply-demand imbalance.

    Q: Are Louisiana house price falls driven only by overbuilding?

    A: No. The Louisiana declines are driven by a combo of overbuilding in some places, extreme weather and rapidly rising insurance costs. The average homeowner’s insurance premium of $10,964 in 2024 and the fact that 30–40% of mortgage transactions are collapsing over insurance costs are major contributors.

    Q: Which small cities look most promising and why?

    A: Zillow highlights Syracuse (+5.0%), Rockford (+4.5%), Atlantic City (+4.5%), Rochester (+4.0%), and Utica (+3.5%). The common factors are affordability and local economic catalysts; Syracuse’s case is tied to Micron’s planned megafab and the jobs it is expected to bring.

    Final takeaways for investors and homebuyers

    Zillow’s forecast is a reminder that national averages matter less than local fundamentals. If you own or plan to buy property in markets that boomed during COVID — especially in the Sun Belt and Gulf Coast — you need to re-evaluate exposure to insurance costs, flood risk and persistent oversupply. If you’re considering growth opportunities in the Midwest or upstate New York, verify employer timelines and absorption capacity before committing.

    A concrete example: Zillow values a typical Austin home at about $508,500; a 4.6% further decline in the forecast would erase more than $23,000 in value. That is the kind of number that should change negotiation strategies and portfolio allocations today.

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