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Picayune, MS Long-Term Rental Analysis

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

Picayune, MS Long-Term Rental Investment Snapshot

Based on 10+ long-term rental datapoints

Median Cap Rate

5.9%

Avg Cash on Cash

-3.6%

Median Cashflow

-$164/mo

Avg Rent Estimate

$1,682/mo

Avg Price

$237,770

Price Range

$150K – $300K

approximate

Rent to Price

0.71%

low ratio

Positive Cashflow

27%

of analyzed properties

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

Picayune, MS is an emerging long-term rental market gaining investor attention. With 10+ properties analyzed, early data shows the market is developing. The median cap rate of 5.9% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 10+ analyzed properties, the median monthly cashflow in Picayune, MS is -$164 with average rents of $1,682/month. Properties are priced about $150,000 to $300,000, offering entry points across multiple investment budgets.

646 Ceasar Rd, Picayune, MS 39466

Price

$274,000

Rent

$1,665

CachFlow

-$529

CoC

-11.03

Full Analysis

23 Buddy Rd, Picayune, MS 39466

Price

$365,600

Rent

$1,632

CachFlow

-$927

CoC

-14.49

Full Analysis

20 Global Ln, Picayune, MS 39466

Price

$229,900

Rent

$1,740

CachFlow

-$164

CoC

-4.08

Full Analysis

513 5th St, Picayune, MS 39466

Price

$260,000

Rent

$1,733

CachFlow

-$405

CoC

-8.9

Full Analysis

34 Yellowbird Ln, Picayune, MS 39466

Price

$275,000

Rent

$2,222

CachFlow

$88

CoC

1.83

Full Analysis
1–5 of 10+
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Picayune, MS Rental Market Insights

  • Median cashflow is -$164/month — careful deal selection is essential here
  • 5.9% median cap rate reflects a balanced risk-return profile
  • At 27% positive cashflow rate, Picayune, MS requires selective property picks
  • Moderately priced market with properties priced about $150,000 to $300,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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