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Columbus, GA Mid-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for mid-term rental investments in Columbus, GA. Based on 10+ datapoints.

Columbus, GA Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

6.7%

Avg Cash on Cash

0.8%

Median Cashflow

$132/mo

Avg Rent Estimate

$2,322/mo

Avg Price

$244,685

Price Range

$32,000 - $385,000

Rent to Price

0.95%

okay ratio

Positive Cashflow

62%

of analyzed properties

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

Columbus, 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 0.8%.

Across 10+ analyzed properties, Columbus, GA mid-term rental investments show a median monthly cashflow of $132 with average furnished rent estimates of $2,322/month. These figures reflect real property data, not projections.

421 38th St, Columbus, GA 31904

Price

$32,000

Rent

$1,275

CachFlow

$645

CoC

41.35

Full Analysis

3858 Fortson Ln, Columbus, GA 31909

Price

$271,100

Rent

$3,315

CachFlow

$427

CoC

6.84

Full Analysis

151 Munson Dr, Columbus, GA 31903

Price

$100,000

Rent

$1,642

CachFlow

$500

CoC

15.38

Full Analysis

4045 Savannah Dr, Columbus, GA 31907

Price

$269,900

Rent

$2,025

CachFlow

-$311

CoC

-5

Full Analysis

1915 Schatulga Rd, Columbus, GA 31907

Price

$234,900

Rent

$1,266

CachFlow

-$683

CoC

-12.17

Full Analysis
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Columbus, GA Mid-Term Rental Market Insights

  • Positive median cashflow of $132/month indicates most investors cover expenses
  • 6.7% median cap rate reflects a balanced risk-return profile
  • 62% positive cashflow rate means roughly half properties are cash-flow positive
  • Moderately priced market with properties from $32,000 to $385,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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