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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 20+ datapoints.

Rome, GA Mid-Term Rental Investment Snapshot

Based on 20+ mid-term rental datapoints

Median Cap Rate

6.4%

Avg Cash on Cash

0.1%

Median Cashflow

$45/mo

Avg Rent Estimate

$2,739/mo

Avg Price

$288,605

Price Range

$119,100 - $436,100

Rent to Price

0.95%

okay ratio

Positive Cashflow

57%

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 20+ analyzed datapoints, early metrics suggest opportunity to enter before MTR inventory matures. Current average cash-on-cash returns sit at 0.1%.

Across 20+ analyzed properties, Rome, GA mid-term rental investments show a median monthly cashflow of $45 with average furnished rent estimates of $2,739/month. These figures reflect real property data, not projections.

23 E Camelia Rd NE, Rome, GA 30161

Price

$269,900

Rent

$2,542

CachFlow

$35

CoC

0.56

Full Analysis

19 Berckman Ln SW, Rome, GA 30165

Price

$355,200

Rent

$2,799

CachFlow

-$377

CoC

-4.89

Full Analysis

56 Bennett Way SE, Rome, GA 30161

Price

$315,000

Rent

$3,300

CachFlow

$219

CoC

3.12

Full Analysis

9 Arbor Ct SW, Rome, GA 30165

Price

$285,500

Rent

$2,662

CachFlow

-$36

CoC

-0.55

Full Analysis

1282 Radio Springs Rd SW, Rome, GA 30165

Price

$625,300

Rent

$3,836

CachFlow

-$1,393

CoC

-11.2

Full Analysis
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Rome, GA Mid-Term Rental Market Insights

  • Positive median cashflow of $45/month indicates most investors cover expenses
  • 6.4% median cap rate reflects a balanced risk-return profile
  • 57% positive cashflow rate means roughly half properties are cash-flow positive
  • Moderately priced market with properties from $119,100 to $436,100
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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