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Tupelo, MS Mid-Term Rental Analysis

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

Tupelo, MS Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

6.9%

Avg Cash on Cash

0.6%

Median Cashflow

$52/mo

Avg Rent Estimate

$2,527/mo

Avg Price

$273,864

Price Range

$150,000 - $453,800

Rent to Price

0.92%

okay ratio

Positive Cashflow

57%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Tupelo, MS

Tupelo, MS 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 0.6%.

Across 10+ analyzed properties, Tupelo, MS mid-term rental investments show a median monthly cashflow of $52 with average furnished rent estimates of $2,527/month. These figures reflect real property data, not projections.

137 State Park Rd, Tupelo, MS 38804

Price

$229,500

Rent

$1,734

CachFlow

-$464

CoC

-8.41

Full Analysis

797 Sunnyside Dr, Tupelo, MS 38804

Price

$352,100

Rent

$2,361

CachFlow

-$542

CoC

-7.07

Full Analysis

147 Main St, Tupelo, MS 38801

Price

$150,000

Rent

$2,038

CachFlow

$393

CoC

9.53

Full Analysis

1124 Woodlawn St, Tupelo, MS 38804

Price

$453,800

Rent

$3,244

CachFlow

-$608

CoC

-6.44

Full Analysis

1708 Stephen D Lee St, Tupelo, MS 38801

Price

$181,600

Rent

$1,868

CachFlow

$10

CoC

0.21

Full Analysis
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Tupelo, MS Mid-Term Rental Market Insights

  • Positive median cashflow of $52/month indicates most investors cover expenses
  • 6.9% median cap rate reflects a balanced risk-return profile
  • 57% positive cashflow rate means roughly half properties are cash-flow positive
  • Mid-to-upper tier market with properties from $150,000 to $453,800
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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