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Dallas, GA Mid-Term Rental Analysis

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

Dallas, GA Mid-Term Rental Investment Snapshot

Based on 15+ mid-term rental datapoints

Median Cap Rate

5.9%

Avg Cash on Cash

-2.3%

Median Cashflow

-$81/mo

Avg Rent Estimate

$2,872/mo

Avg Price

$343,800

Price Range

$250,000 - $503,500

Rent to Price

0.84%

okay ratio

Positive Cashflow

29%

of analyzed properties

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

Dallas, 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 -2.3%.

Across 15+ analyzed properties, Dallas, GA mid-term rental investments show a median monthly cashflow of -$81 with average furnished rent estimates of $2,872/month. These figures reflect real property data, not projections.

147 Oliver Dr, Dallas, GA 30132

Price

$386,000

Rent

$3,584

CachFlow

$58

CoC

0.7

Full Analysis

252 Stone Lake Dr, Dallas, GA 30157

Price

$377,200

Rent

$3,272

CachFlow

-$131

CoC

-1.62

Full Analysis

178 Treadstone Ln, Dallas, GA 30132

Price

$386,700

Rent

$3,096

CachFlow

-$154

CoC

-1.86

Full Analysis

617 Arrowhead Dr, Dallas, GA 30132

Price

$298,500

Rent

$3,244

CachFlow

$175

CoC

2.6

Full Analysis

108 Misty Oak Ln, Dallas, GA 30132

Price

$382,100

Rent

$2,892

CachFlow

-$414

CoC

-5.06

Full Analysis
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Dallas, GA Mid-Term Rental Market Insights

  • Median cashflow is -$81/month — careful deal selection is essential here
  • 5.9% median cap rate reflects a balanced risk-return profile
  • At 29% positive cashflow rate, Dallas, GA requires selective property picks
  • Mid-to-upper tier market with properties from $250,000 to $503,500
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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