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Rome, GA Mid-Term Rental Analysis

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

Rome, GA Mid-Term Rental Investment Snapshot

Based on 15+ mid-term rental datapoints

Median Cap Rate

6.7%

Avg Cash on Cash

-1.1%

Median Cashflow

$44/mo

Avg Rent Estimate

$2,893/mo

Avg Price

$351,111

Price Range

$194,200 - $676,000

Rent to Price

0.82%

okay ratio

Positive Cashflow

61%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Rome, GA

Rome, GA 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 -1.1%.

Across 15+ analyzed properties, Rome, GA mid-term rental investments show a median monthly cashflow of $44 with average furnished rent estimates of $2,893/month. These figures reflect real property data, not projections.

4467 Old Blacks Bluff Rd SW, Rome, GA 30161

Price

$238,000

Rent

$3,170

CachFlow

$711

CoC

12.55

Full Analysis

17 Bryan Springs Rd SW, Rome, GA 30165

Price

$272,000

Rent

$2,882

CachFlow

$127

CoC

2.03

Full Analysis

20 Eagle Dr NW, Rome, GA 30165

Price

$326,000

Rent

$3,177

CachFlow

$113

CoC

1.57

Full Analysis

9 Atwood Dr NW, Rome, GA 30165

Price

$269,100

Rent

$2,694

CachFlow

$181

CoC

2.92

Full Analysis

5 Foothills Dr SW, Rome, GA 30165

Price

$289,200

Rent

$2,577

CachFlow

-$160

CoC

-2.44

Full Analysis
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Rome, GA Mid-Term Rental Market Insights

  • Positive median cashflow of $44/month indicates most investors cover expenses
  • 6.7% median cap rate reflects a balanced risk-return profile
  • 61% positive cashflow rate means roughly half properties are cash-flow positive
  • Mid-to-upper tier market with properties from $194,200 to $676,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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