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Southaven, MS Long-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for long-term rental investments in Southaven, MS. Based on 20+ datapoints.

Southaven, MS Long-Term Rental Investment Snapshot

Based on 20+ long-term rental datapoints

Median Cap Rate

5.7%

Avg Cash on Cash

-5.4%

Median Cashflow

-$256/mo

Avg Rent Estimate

$1,821/mo

Avg Price

$264,870

Price Range

$196,200 - $339,900

Rent to Price

0.69%

low ratio

Positive Cashflow

0%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Southaven, MS

Southaven, MS is an emerging long-term rental market gaining investor attention. With 20+ properties analyzed, early data shows the market is developing. The median cap rate of 5.7% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 20+ analyzed properties, the median monthly cashflow in Southaven, MS is -$256 with average rents of $1,821/month. Properties range from $196,200 to $339,900, offering entry points across multiple investment budgets.

5495 Plum Tree Cv, Southaven, MS 38671

Price

$293,700

Rent

$1,899

CachFlow

-$376

CoC

-7.32

Full Analysis

8709 Arendale Dr, Southaven, MS 38671

Price

$277,500

Rent

$1,949

CachFlow

-$156

CoC

-3.21

Full Analysis

827 Tall Pine Cv, Southaven, MS 38671

Price

$294,100

Rent

$1,971

CachFlow

-$337

CoC

-6.55

Full Analysis

7347 Greenbrook Pkwy, Southaven, MS 38671

Price

$235,000

Rent

$1,753

CachFlow

-$258

CoC

-6.27

Full Analysis

662 Eaglewood Dr, Southaven, MS 38671

Price

$221,500

Rent

$1,735

CachFlow

-$118

CoC

-3.04

Full Analysis
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Southaven, MS Rental Market Insights

  • Median cashflow is -$256/month — careful deal selection is essential here
  • 5.7% median cap rate reflects a balanced risk-return profile
  • At 0% positive cashflow rate, Southaven, MS requires selective property picks
  • Moderately priced market with properties from $196,200 to $339,900
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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