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Niles, MI Mid-Term Rental Analysis

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

Niles, MI Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

7.6%

Avg Cash on Cash

0.8%

Median Cashflow

$180/mo

Avg Rent Estimate

$2,756/mo

Avg Price

$273,055

Price Range

$182,700 - $470,000

Rent to Price

1.01%

strong ratio

Positive Cashflow

60%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Niles, MI

Niles, MI 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 0.8%.

Across 10+ analyzed properties, Niles, MI mid-term rental investments show a median monthly cashflow of $180 with average furnished rent estimates of $2,756/month. These figures reflect real property data, not projections.

1338 Regent St, Niles, MI 49120

Price

$182,700

Rent

$1,936

CachFlow

$115

CoC

2.45

Full Analysis

414 S Barrett St, Niles, MI 49120

Price

$231,800

Rent

$1,960

CachFlow

-$186

CoC

-3.35

Full Analysis

310 S Philip Rd, Niles, MI 49120

Price

$340,000

Rent

$1,716

CachFlow

-$798

CoC

-10.71

Full Analysis

2223 Joseph St, Niles, MI 49120

Price

$332,000

Rent

$3,550

CachFlow

$331

CoC

4.53

Full Analysis

125 Scenic View Dr, Niles, MI 49120

Price

$470,000

Rent

$3,171

CachFlow

-$675

CoC

-6.94

Full Analysis
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Niles, MI Mid-Term Rental Market Insights

  • Positive median cashflow of $180/month indicates most investors cover expenses
  • 7.6% median cap rate reflects a balanced risk-return profile
  • 60% positive cashflow rate means roughly half properties are cash-flow positive
  • Mid-to-upper tier market with properties from $182,700 to $470,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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