North Charleston, SC Short-Term Rental / Airbnb Analysis
Analyze rental property cap rates, cash-on-cash returns, and cashflow for short-term rental / airbnb investments in North Charleston, SC. Based on 10+ datapoints.
North Charleston, SC Short-Term Rental / Airbnb Investment Snapshot
Based on 10+ short-term rental / airbnb datapoints
Median Cap Rate
5.7%
Avg Cash on Cash
-2.5%
Median Cashflow
-$113/mo
Avg Rent Estimate
$3,967/mo
Avg Price
$387,191
Price Range
$257,000 - $587,700
Rent to Price
1.02%
strong ratio
Positive Cashflow
27%
of analyzed properties
Recent real estate investor listings analysed as short-term rental / airbnb deals in North Charleston, SC
North Charleston, SC is an emerging short-term rental market with growing investor interest. With 10+ datapoints analyzed so far, early metrics suggest opportunity for Airbnb investors willing to enter before the market matures. Current average cash-on-cash returns sit at -2.5%.
Across 10+ analyzed properties, North Charleston, SC STR investments show a median monthly cashflow of -$113 with an average estimated nightly-rate-adjusted revenue of $3,967/month. These figures reflect real property data, not projections.
8614 W Fairway Woods Dr, North Charleston, SC 29420
Price
$587,700
Rent
$4,104
CachFlow
-$1,271
CoC
-10.79
2466 Calamari Ct, North Charleston, SC 29406
Price
$356,900
Rent
$4,152
CachFlow
-$37
CoC
-0.48
313 Dorchester Manor Blvd, North Charleston, SC 29420
Price
$268,500
Rent
$3,349
CachFlow
$170
CoC
2.74
5356 Greggs Lndg, North Charleston, SC 29420
Price
$380,600
Rent
$3,357
CachFlow
-$433
CoC
-5.31
8614 Windsor Hill Blvd, North Charleston, SC 29420
Price
$412,900
Rent
$3,877
CachFlow
-$219
CoC
-2.51
North Charleston, SC Airbnb Market Insights
- •Median cashflow is -$113/month — careful deal selection is essential here
- •5.7% median cap rate reflects a balanced risk-return profile
- •At 27% positive cashflow rate, North Charleston, SC requires selective property picks
- •Mid-to-upper tier market with properties from $257,000 to $587,700
- •Early-stage market data — revisit as more properties are analyzed for stronger signals