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Market Analysis

Cities Where Prices Are Dropping 2026: YoY Declines in Detail

Markets experiencing price declines: Denver -9.2%, San Diego -5.7%, Los Angeles -4.7%, San Jose -7.5%, Portland -2.7%. Analysis of correction causes and buyer opportunities.

By 8 min read

Why are home prices falling in some cities?

Price declines occur when supply growth exceeds demand growth or when external shocks depress buyer power. Denver's 9.2% YoY decline (-$627K to $568K) reflects inventory growth outpacing sales. New construction added 12,000+ homes; sales velocity dropped 18%; inventory now covers 4.2 months of sales versus 2.8 months pre-decline. Mathematically, excess inventory drives prices down 8-12% as supply-demand rebalances.

San Diego's 5.7% decline (-$985K to $930K) and San Jose's 7.5% decline (-$1.44M to $1.33M) reflect rate-sensitivity across expensive markets. At 5% rates, $1.5M homes required $8,000+ monthly income to qualify; at 6.22%, required income exceeds $9,500. Thousands of qualified buyers priced out; sellers reduced asking prices to activate demand. These corrections are healthy—prices realigning with affordability.

Denver -9.2% & San Jose -7.5%: Largest Declines

Denver's 9.2% decline from $627K to $568K reflects both inventory growth and rate sensitivity. Colorado added 50,000+ residents through 2024-2025; homebuilders responded with record construction. Supply now exceeds demand; new homes trade at discounts to existing homes to clear inventory. Smart buyers recognize Denver's correction as opportunity—prices will stabilize once excess inventory clears (18-24 months typical). Long-term appreciation remains likely post-correction.

San Jose's 7.5% decline from $1.44M to $1.33M reflects tech sector weakness and rate sensitivity. Meta, Google, and Amazon hiring freezes reduced relocating executives—a key San Jose buyer segment. San Francisco at $1.5M also softens but retains supply discipline. San Jose prices recover once tech hiring resumes; meanwhile, declining prices create entry opportunities for believers in future appreciation.

Los Angeles -4.7%, San Diego -5.7%, Portland -2.7%

Los Angeles's 4.7% decline from $1.06M to $1.01M reflects broader California softness. High property taxes (Prop 13 exceptions + new assessments), state income taxes (13.3% top rate), and out-migration to lower-tax states pressure prices. Californians relocating to Texas, Arizona, Nevada, and Florida accelerate migration. Los Angeles prices stabilize but don't grow faster than national averages for years.

San Diego at $930K (down 5.7%) attracts cash buyers and retirees despite declines—weather and lifestyle support floor pricing. Portland's 2.7% decline from $508K to $496K reflects cautious Pacific Northwest sentiment but maintains relative stability. These declines suggest buying opportunities for patient investors targeting 5-7 year holds.

When do price declines create real buyer value?

Declining markets create buyer advantages: lower purchase prices, stronger negotiating positions, and reduced competition. Denver buyers enter at 9% discount; at 4% annual appreciation, breakeven occurs year 2.25, then 4%+ annual gains accumulate. San Jose's 7.5% decline similarly resets growth trajectory—tech sector rebound drives future appreciation from lower base.

Risk exists if declines accelerate beyond corrections—economic recession could extend Denver and San Jose drops another 5-10%. Buyers should assess: (1) Is this healthy supply-demand rebalancing or early-stage crash? (2) Are job markets stable? (3) Will I hold 5+ years? (4) Can I afford the mortgage if prices drop 5% more? Denver, San Jose, and Los Angeles pass these questions—long-term appreciation justified despite current declines. Portland's modest 2.7% decline creates minimal risk.

How long do housing recoveries take?

Historical data shows: supply-driven corrections (Denver inventory excess) recover in 18-24 months once builders slow. Rate-driven corrections (San Jose demand softness) recover 6-12 months after rate stabilization. Tax-driven declines (Los Angeles migration) take 3-5 years to reverse. Understanding cause predicts recovery timeline.

Denver buyers should expect recovery 2027-2028; San Jose buyers expect 2026-2027 tech hiring resumption; Los Angeles buyers should plan 5+ year holds. Use market data to track when inventory begins shrinking (first sign of correction end). Check compare cities to benchmark recovery markers across declining markets. Read our rent vs buy guide to evaluate renting versus buying in declining markets.

Sources & citations

  1. FHFA — House Price Index (HPI)
  2. FRED — Median Sales Price of Houses Sold in the United States
  3. Zillow Research — Housing Data
  4. Redfin Data Center — Housing Market Data

About the data in this article

Figures quoted above are point-in-time as of . Our underlying series come from Zillow (home values, rents, inventory — monthly, current through July 2026), Redfin (sales history — the public market trackers stopped publishing in June 2026, so May 2026 is the last available period and it will not refresh), the U.S. Census Bureau's American Community Survey, the National Center for Education Statistics, and Federal Reserve Economic Data for mortgage rates. For current numbers on a specific market, use the market pages rather than this article. What each series measures · Methodology

About the author

Marc Henderson

Founder & Data Editor, Properties Incorporated

Marc Henderson is a U.S. Navy veteran and long-time operator of data-driven web platforms. Properties Incorporated is an aggregator with editorial judgment: every market classification follows a single published rule set, applied identically to every city and ZIP code in the database, and every figure is published with its source and period. Articles are reviewed against that rule set before publication.

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Disclaimer: This article is for informational purposes only and is not financial, investment, or real estate advice. Housing markets are dynamic; consult a licensed real estate agent or financial advisor before making any purchase, sale, or investment decision based on this content.

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