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Park Forest, IL Long-Term Rental Analysis

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

Park Forest, IL Long-Term Rental Investment Snapshot

Based on 10+ long-term rental datapoints

Median Cap Rate

6.7%

Avg Cash on Cash

-2.3%

Median Cashflow

-$100/mo

Avg Rent Estimate

$2,335/mo

Avg Price

$197,792

Price Range

$124,700 - $269,900

Rent to Price

1.18%

strong ratio

Positive Cashflow

33%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Park Forest, IL

Park Forest, IL 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 6.7% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 10+ analyzed properties, the median monthly cashflow in Park Forest, IL is -$100 with average rents of $2,335/month. Properties range from $124,700 to $269,900, offering entry points across multiple investment budgets.

322 Sioux St, Park Forest, IL 60466

Price

$124,700

Rent

$1,890

CachFlow

$42

CoC

1.92

Full Analysis

21801 Central Park Ave, Park Forest, IL 60466

Price

$234,800

Rent

$2,615

CachFlow

-$139

CoC

-3.38

Full Analysis

312 Nassau St, Park Forest, IL 60466

Price

$239,000

Rent

$2,197

CachFlow

-$393

CoC

-9.4

Full Analysis

357 Neola St, Park Forest, IL 60466

Price

$137,000

Rent

$2,562

CachFlow

$153

CoC

6.38

Full Analysis

356 Wilshire St, Park Forest, IL 60466

Price

$269,900

Rent

$2,242

CachFlow

-$403

CoC

-8.53

Full Analysis
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Park Forest, IL Rental Market Insights

  • Median cashflow is -$100/month — careful deal selection is essential here
  • 6.7% median cap rate reflects a balanced risk-return profile
  • At 33% positive cashflow rate, Park Forest, IL requires selective property picks
  • Moderately priced market with properties from $124,700 to $269,900
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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