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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 10+ datapoints.

Rome, GA Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

7%

Avg Cash on Cash

-1.8%

Median Cashflow

$61/mo

Avg Rent Estimate

$3,054/mo

Avg Price

$372,114

Price Range

$221,800 - $676,000

Rent to Price

0.82%

okay ratio

Positive Cashflow

62%

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 10+ analyzed datapoints, early metrics suggest opportunity to enter before MTR inventory matures. Current average cash-on-cash returns sit at -1.8%.

Across 10+ analyzed properties, Rome, GA mid-term rental investments show a median monthly cashflow of $61 with average furnished rent estimates of $3,054/month. These figures reflect real property data, not projections.

10 Susanne Ct SW, Rome, GA 30165

Price

$349,600

Rent

$3,598

CachFlow

$61

CoC

0.8

Full Analysis

505 Burnett Ferry Rd SW, Rome, GA 30165

Price

$292,500

Rent

$1,989

CachFlow

-$386

CoC

-5.83

Full Analysis

220 Margo Trl SE, Rome, GA 30161

Price

$257,100

Rent

$2,760

CachFlow

$164

CoC

2.73

Full Analysis

83 Bryant Rd SW, Rome, GA 30161

Price

$622,000

Rent

$3,952

CachFlow

-$1,268

CoC

-10.24

Full Analysis

4467 Old Blacks Bluff Rd SW, Rome, GA 30161

Price

$238,000

Rent

$3,170

CachFlow

$711

CoC

12.55

Full Analysis
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Rome, GA Mid-Term Rental Market Insights

  • •Positive median cashflow of $61/month indicates most investors cover expenses
  • •7% median cap rate reflects a balanced risk-return profile
  • •62% positive cashflow rate means roughly half properties are cash-flow positive
  • •Mid-to-upper tier market with properties from $221,800 to $676,000
  • •Early-stage market data — revisit as more properties are analyzed for stronger signals

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