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Seneca, SC Mid-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for mid-term rental investments in Seneca, SC. Based on 10+ datapoints.

Seneca, SC Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

6.1%

Avg Cash on Cash

-1.9%

Median Cashflow

$42/mo

Avg Rent Estimate

$2,907/mo

Avg Price

$340,310

Price Range

$224,900 - $430,000

Rent to Price

0.85%

okay ratio

Positive Cashflow

50%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Seneca, SC

Seneca, SC is an emerging mid-term rental market gaining attention from investors who want LTR-style stability with stronger furnished-rent premiums. With 10+ analyzed datapoints, early metrics suggest opportunity to enter before MTR inventory matures. Current average cash-on-cash returns sit at -1.9%.

Across 10+ analyzed properties, Seneca, SC mid-term rental investments show a median monthly cashflow of $42 with average furnished rent estimates of $2,907/month. These figures reflect real property data, not projections.

412 Hartwell Dr, Seneca, SC 29672

Price

$295,000

Rent

$2,776

CachFlow

$130

CoC

1.95

Full Analysis

510 Horseshoe Dr, Seneca, SC 29678

Price

$326,300

Rent

$3,520

CachFlow

$477

CoC

6.62

Full Analysis

1298 Carradine Rd, Seneca, SC 29678

Price

$361,300

Rent

$3,411

CachFlow

$224

CoC

2.86

Full Analysis

211 Sam Brown Rd, Seneca, SC 29678

Price

$430,000

Rent

$2,817

CachFlow

-$462

CoC

-5.12

Full Analysis

135 Seneca River Rd, Seneca, SC 29678

Price

$399,000

Rent

$2,642

CachFlow

-$503

CoC

-5.93

Full Analysis
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Seneca, SC Mid-Term Rental Market Insights

  • Positive median cashflow of $42/month indicates most investors cover expenses
  • 6.1% median cap rate reflects a balanced risk-return profile
  • 50% positive cashflow rate means roughly two in five properties are cash-flow positive
  • Mid-to-upper tier market with properties from $224,900 to $430,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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