Columbia, SC
Executive Summary
Columbia's housing market shows average risk, ranking 103rd of 287 metros. The market recently entered Expansion. Inventory is growing moderately (+13% YoY) with stable liquidity. Broad-based growth with healthy fundamentals.
Columbia experienced a market correction from early 2024 through late 2024. The market has since normalized and entered Expansion.
Inventory is growing at a moderate +13% pace with homes taking +13% longer to sell — within normal ranges.
Rent growth is roughly keeping pace with price appreciation, suggesting valuations are not stretched.
Cycle Phase
Normal growth conditions with balanced fundamentals
Key Dynamics
Risk is primarily driven by permits per capita and price momentum, while employment provides the most support.
Top Drivers
Market Signals
Inventory is growing at a moderate +13% pace with homes taking +13% longer to sell — within normal ranges.
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
Normal expansion. Credit is available, transactions are healthy — no constraints on current growth momentum.
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
NormalRaw signal — not the composite percentile
Relative to 2016–2019 norms for this metro
Supply and demand are in equilibrium. No unusual activity on either side of the market.
Employment Concentration
Employment
Limited dataInternal Structure
Columbia's counties diverge significantly — Richland County (High Risk) contrasts sharply with Lexington County, making the metro average potentially misleading.
Columbia, SC shows High internal divergence — the metro composite may obscure significant county-level differences. Richland County contributes the most structural risk (High Risk, driven by permits per capita), while Lexington County anchors the lower end (Average).
| County | Score ▼ |
|---|---|
Richland CountyRisk Driver | 90 |
Kershaw County | 50 |
Lexington CountyStabilizer | 50 |
Saluda County<5% | 45 |
Fairfield County<5% | 35 |
Calhoun County<5% | 30 |
Score History
| Month | Score |
|---|---|
| 2025-11 | 51 |
| 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 |