Columbia, SC
Executive Summary
Columbia's housing market shows elevated risk, ranking 34th 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.
Columbia experienced a market correction from early 2024 through late 2024. Elevated inventory persists, suggesting the market hasn't fully normalized.
Inventory is elevated (+17% YoY) and days on market are up +5% — 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 price momentum and permits per capita, while employment provides the most support.
Top Drivers
Market Signals
Inventory is elevated (+17% YoY) and days on market are up +5% — 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
SurgeRaw signal — not the composite percentile
Relative to 2016–2019 norms for this metro
Heavy building into softening demand. The construction pipeline may outrun absorption — watch for inventory acceleration in coming months.
Employment Concentration
Employment
Limited dataInternal Structure
Columbia's 6 counties show similar risk profiles — the metro-level score is broadly representative.
Columbia, SC shows Low internal divergence — county-level differences are minor and the metro composite is broadly representative. Lexington County contributes the most structural risk (Elevated, driven by permit growth), while Kershaw County anchors the lower end (Average).
| County | Score ▼ |
|---|---|
Lexington CountyRisk Driver | 70 |
Richland County | 70 |
Kershaw CountyStabilizer | 55 |
Fairfield County<5% | 45 |
Saluda County<5% | 40 |
Calhoun County<5% | 20 |
Score History
| Month | Score |
|---|---|
| 2025-12 | 52 |
| 2025-10 | 50 |
| 2025-09 | 52 |
| 2025-07 | 49 |
| 2025-05 | 50 |
| 2025-02 | 52 |
| 2025-01 | 54 |
| 2024-12 | 56 |
| 2024-10 | 53 |
| 2024-07 | 54 |
| 2024-05 | 50 |
| 2024-02 | 52 |
| 2023-12 | 54 |
| 2023-11 | 52 |
| 2023-09 | 54 |
| 2023-07 | 55 |
| 2023-06 | 59 |
| 2023-04 | 61 |
| 2023-03 | 58 |
| 2023-01 | 57 |
| 2022-10 | 60 |
| 2022-08 | 56 |
| 2022-06 | 54 |
| 2022-05 | 57 |
| 2022-04 | 56 |
| 2022-02 | 57 |
| 2021-11 | 56 |
| 2021-08 | 59 |
| 2021-05 | 59 |
| 2021-03 | 49 |
| 2020-12 | 48 |
| 2020-10 | 46 |
| 2020-09 | 51 |
| 2020-07 | 49 |
| 2020-04 | 47 |
| 2020-01 | 47 |
| 2019-11 | 52 |
| 2019-08 | 55 |
| 2019-06 | 57 |
| 2019-04 | 60 |
| 2019-03 | 60 |
| 2019-01 | 58 |