Baltimore-Columbia-Towson, MD
Cycle Phase
Baltimore experienced a market correction from late 2025 through late 2025. Elevated inventory persists, suggesting the market hasn't fully normalized.
Building activity may be outpacing demand absorption
Baltimore's housing market shows average risk, ranking 168th of 287 metros. The market recently entered Hypersupply. The market shows signs of liquidity stress with elevated inventory.
Executive Summary
Risk is Neutral, driven primarily by migration and employment. The market is in Hypersupply phase. Liquidity is stress and valuation is balanced.
Top Risk Drivers (This Month)
Market Signals
Inventory has surged +25% YoY with days on market up +12% — significant supply buildup indicating market stress.
Liquidity
Valuation
Factor Details
Factor Breakdown
12-month HPI change — higher = overheating
YoY permit change — higher = supply pressure
Permits per 1,000 residents — higher = overbuilding risk
Mortgage payment / income — higher = more burdened
12-month employment change (risk inverted)
Net AGI migration (risk inverted)
Underlying Values
| Metric | Value | Pctile |
|---|---|---|
| Price Momentum | +1.9% | p40 |
| Permit Growth | -4.0% | p45 |
| Permits/1K Pop | 2.21 | p26 |
| Affordability | 0.20 | p5 |
| Employment | -0.1% | p69 |
| Net AGI Migration | -$843K | p96 |
National ContextDoes not affect score
Credit Conditions
Credit Regime
Oversupply with deteriorating transactions and no credit excuse. Supply-driven correction risk is elevated.
Supply Pipeline
Supply Regime
Supply pipeline is building up while credit remains available. New units are accumulating in the system — watch for delivery pressure in coming quarters.
Local SignalsDoes not affect score
Metro Permit Activity
Permit Activity
NormalRaw signal — not the composite percentile
Relative to 2016–2019 norms for this metro
Normal permit activity but demand has deteriorated significantly. The stress is from existing inventory and slowing absorption, not new construction.
Liquidity
Liquidity
Internal Structure
Baltimore's counties diverge significantly — Anne Arundel County (High Risk) contrasts sharply with Harford County, making the metro average potentially misleading.
Baltimore, MD shows High internal divergence — the metro composite may obscure significant county-level differences. Anne Arundel County contributes the most structural risk (High Risk, driven by permit growth), while Harford County anchors the lower end (Low Risk).
| County | Score ▼ |
|---|---|
Anne Arundel CountyRisk Driver | 83 |
Howard County | 72 |
Carroll County | 67 |
Baltimore city | 39 |
Baltimore County | 39 |
Queen Anne's County | 33 |
Harford CountyStabilizer | 17 |
Score History
| Month | Score |
|---|---|
| 2025-11 | 44 |
| 2025-10 | 44 |
| 2025-08 | 42 |
| 2025-06 | 43 |
| 2025-05 | 41 |
| 2025-03 | 46 |
| 2025-01 | 47 |
| 2024-12 | 41 |
| 2024-11 | 42 |
| 2024-09 | 40 |
| 2024-08 | 39 |
| 2024-06 | 37 |
| 2024-03 | 34 |
| 2024-01 | 34 |
| 2023-10 | 38 |
| 2023-08 | 44 |
| 2023-06 | 41 |
| 2023-03 | 42 |
| 2023-02 | 44 |
| 2023-01 | 43 |
| 2022-11 | 43 |
| 2022-10 | 42 |
| 2022-08 | 37 |
| 2022-07 | 37 |
| 2022-05 | 38 |
| 2022-02 | 37 |
| 2022-01 | 37 |
| 2021-11 | 35 |
| 2021-10 | 34 |
| 2021-08 | 32 |
| 2021-05 | 37 |
| 2021-04 | 39 |
| 2021-02 | 40 |
| 2021-01 | 40 |
| 2020-11 | 41 |
| 2020-09 | 41 |
| 2020-07 | 39 |
| 2020-04 | 38 |
| 2020-01 | 42 |
| 2019-10 | 39 |
| 2019-09 | 43 |
| 2019-07 | 40 |
| 2019-06 | 38 |
| 2019-04 | 38 |
| 2019-03 | 36 |
| 2019-01 | 36 |