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Newton, KS Mid-Term Rental Analysis

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

Newton, KS Mid-Term Rental Investment Snapshot

Based on 15+ mid-term rental datapoints

Median Cap Rate

6.3%

Avg Cash on Cash

-1.7%

Median Cashflow

-$11/mo

Avg Rent Estimate

$2,463/mo

Avg Price

$236,912

Price Range

$127,500 - $385,000

Rent to Price

1.04%

strong ratio

Positive Cashflow

50%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Newton, KS

Newton, KS 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 -1.7%.

Across 15+ analyzed properties, Newton, KS mid-term rental investments show a median monthly cashflow of -$11 with average furnished rent estimates of $2,463/month. These figures reflect real property data, not projections.

1111 N Main St, Newton, KS 67114

Price

$127,500

Rent

$2,410

CachFlow

$722

CoC

19.35

Full Analysis

414 Random Rd, Newton, KS 67114

Price

$206,700

Rent

$2,163

CachFlow

-$59

CoC

-1.15

Full Analysis

308 SE 2nd St, Newton, KS 67114

Price

$175,000

Rent

$2,348

CachFlow

$296

CoC

6.49

Full Analysis

117 Harrison St, Newton, KS 67114

Price

$195,000

Rent

$1,812

CachFlow

-$205

CoC

-4.17

Full Analysis

225 Windward Dr, Newton, KS 67114

Price

$225,000

Rent

$2,734

CachFlow

$153

CoC

2.81

Full Analysis
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Newton, KS Mid-Term Rental Market Insights

  • Median cashflow is -$11/month — careful deal selection is essential here
  • 6.3% median cap rate reflects a balanced risk-return profile
  • 50% positive cashflow rate means roughly two in five properties are cash-flow positive
  • Moderately priced market with properties from $127,500 to $385,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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