Duluth, MN-WI
Executive Summary
Duluth's housing market shows average risk, ranking 161st of 274 metros. The market recently entered Hypersupply. Inventory levels are elevated, warranting monitoring. Inventory accumulating faster than demand — the market is shifting toward buyers.
Duluth experienced a market correction from early 2025 through early 2025. Elevated inventory persists, suggesting the market hasn't fully normalized.
Inventory is elevated (+19% YoY) and days on market are up +3% — supply is building but not yet at stress levels.
Rent growth is roughly keeping pace with price appreciation, suggesting valuations are not stretched.
Cycle Phase
Building activity may be outpacing demand absorption
Key Dynamics
Risk is primarily driven by affordability and employment, while permit growth provides the most support.
Top Drivers
Market Signals
Inventory is elevated (+19% YoY) and days on market are up +3% — supply is building but not yet at stress levels.
Liquidity
Valuation
Factor Details
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)
National Context
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 Signals
Metro Permit Activity
Permit Activity
CoolingRaw signal — not the composite percentile
Relative to 2016–2019 norms for this metro
Based on limited permit volume
Both sides are decelerating. Broad market slowdown — builders and buyers are both pulling back simultaneously.
Employment Concentration
Employment
ModerateInternal Structure
Duluth's counties diverge significantly — Carlton County (High Risk) contrasts sharply with Douglas County, making the metro average potentially misleading.
Duluth, MN-WI shows High internal divergence — the metro composite may obscure significant county-level differences. Carlton County contributes the most structural risk (High Risk, driven by price momentum), while Douglas County anchors the lower end (Low Risk).
| County | Score ▼ |
|---|---|
Carlton CountyRisk Driver | 88 |
St. Louis County | 50 |
Douglas CountyStabilizer | 12 |
Score History
| Month | Score |
|---|---|
| 2025-12 | 56 |
| 2025-10 | 66 |
| 2025-08 | 68 |
| 2025-07 | 66 |
| 2025-05 | 67 |
| 2025-03 | 64 |
| 2025-02 | 64 |
| 2025-01 | 58 |
| 2024-12 | 57 |
| 2024-11 | 58 |
| 2024-10 | 60 |
| 2024-09 | 58 |
| 2024-07 | 61 |
| 2024-04 | 54 |
| 2024-02 | 58 |
| 2024-01 | 56 |
| 2023-12 | 58 |
| 2023-11 | 58 |
| 2023-09 | 65 |
| 2023-07 | 61 |
| 2023-05 | 57 |
| 2023-03 | 58 |
| 2022-12 | 63 |
| 2022-11 | 63 |
| 2022-10 | 62 |
| 2022-08 | 56 |
| 2022-05 | 60 |
| 2022-02 | 53 |
| 2022-01 | 53 |
| 2021-11 | 52 |
| 2021-10 | 53 |
| 2021-08 | 54 |
| 2021-05 | 46 |
| 2021-03 | 54 |
| 2021-02 | 55 |
| 2020-12 | 58 |
| 2020-11 | 55 |
| 2020-09 | 58 |
| 2020-06 | 58 |
| 2020-05 | 58 |
| 2020-03 | 59 |
| 2020-02 | 60 |
| 2019-12 | 61 |
| 2019-11 | 59 |
| 2019-09 | 56 |
| 2019-08 | 56 |
| 2019-06 | 56 |
| 2019-05 | 56 |
| 2019-03 | 56 |
| 2019-01 | 58 |