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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

6.9%

Avg Cash on Cash

1%

Median Cashflow

$172/mo

Avg Rent Estimate

$2,709/mo

Avg Price

$283,475

Price Range

$119,100 - $436,100

Rent to Price

0.96%

okay ratio

Positive Cashflow

56%

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%.

Across 15+ analyzed properties, Rome, GA mid-term rental investments show a median monthly cashflow of $172 with average furnished rent estimates of $2,709/month. These figures reflect real property data, not projections.

1250 Texas Valley Rd NW, Rome, GA 30165

Price

$424,300

Rent

$3,000

CachFlow

-$577

CoC

-6.46

Full Analysis

112 Boyd Valley Rd SE, Rome, GA 30161

Price

$194,200

Rent

$2,298

CachFlow

$245

CoC

5

Full Analysis

5 Crescent Ave SW, Rome, GA 30161

Price

$213,800

Rent

$2,547

CachFlow

$277

CoC

5.28

Full Analysis

134 N Avery Rd NW, Rome, GA 30165

Price

$325,000

Rent

$2,865

CachFlow

-$83

CoC

-1.15

Full Analysis

15 Pine Valley Rd SW, Rome, GA 30165

Price

$398,700

Rent

$3,008

CachFlow

-$527

CoC

-6.22

Full Analysis
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Rome, GA Mid-Term Rental Market Insights

  • Positive median cashflow of $172/month indicates most investors cover expenses
  • 6.9% median cap rate reflects a balanced risk-return profile
  • 56% 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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