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Columbus, MS Mid-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for mid-term rental investments in Columbus, MS. Based on 15+ datapoints.

Columbus, MS Mid-Term Rental Investment Snapshot

Based on 15+ mid-term rental datapoints

Median Cap Rate

7.9%

Avg Cash on Cash

4%

Median Cashflow

$321/mo

Avg Rent Estimate

$2,583/mo

Avg Price

$261,500

Price Range

$144,600 - $391,600

Rent to Price

0.99%

okay ratio

Positive Cashflow

69%

of analyzed properties

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

Columbus, MS is an emerging mid-term rental market gaining attention from investors who want LTR-style stability with stronger furnished-rent premiums. With 15+ analyzed datapoints, early metrics suggest opportunity to enter before MTR inventory matures. Current average cash-on-cash returns sit at 4%.

Across 15+ analyzed properties, Columbus, MS mid-term rental investments show a median monthly cashflow of $321 with average furnished rent estimates of $2,583/month. These figures reflect real property data, not projections.

205 Eastwood Dr, Columbus, MS 39702

Price

$159,000

Rent

$1,900

CachFlow

$345

CoC

8.06

Full Analysis

67 Rogers Way, Columbus, MS 39702

Price

$269,900

Rent

$2,730

CachFlow

$320

CoC

5.14

Full Analysis

716 S Gaywood Ave, Columbus, MS 39702

Price

$144,600

Rent

$2,220

CachFlow

$557

CoC

13.82

Full Analysis

189 Ginger Ln, Columbus, MS 39702

Price

$255,700

Rent

$3,063

CachFlow

$565

CoC

9.46

Full Analysis

823 Donna Ln, Columbus, MS 39702

Price

$240,000

Rent

$1,778

CachFlow

-$310

CoC

-5.44

Full Analysis
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Columbus, MS Mid-Term Rental Market Insights

  • Positive median cashflow of $321/month indicates most investors cover expenses
  • 7.9% median cap rate reflects a balanced risk-return profile
  • 69% positive cashflow rate means roughly half properties are cash-flow positive
  • Moderately priced market with properties from $144,600 to $391,600
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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