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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 10+ datapoints.

Newton, KS Mid-Term Rental Investment Snapshot

Based on 10+ mid-term rental datapoints

Median Cap Rate

5.3%

Avg Cash on Cash

-5.7%

Median Cashflow

-$212/mo

Avg Rent Estimate

$2,491/mo

Avg Price

$315,864

Price Range

$209,900 - $600,000

Rent to Price

0.79%

okay ratio

Positive Cashflow

11%

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 10+ analyzed datapoints, early metrics suggest opportunity to enter before MTR inventory matures. Current average cash-on-cash returns sit at -5.7%.

Across 10+ analyzed properties, Newton, KS mid-term rental investments show a median monthly cashflow of -$212 with average furnished rent estimates of $2,491/month. These figures reflect real property data, not projections.

532 N Rock Rd, Newton, KS 67114

Price

$600,000

Rent

$2,913

CachFlow

-$1,860

CoC

-15.5

Full Analysis

1000 Lorna Ln, Newton, KS 67114

Price

$211,400

Rent

$2,058

CachFlow

-$139

CoC

-2.67

Full Analysis

3225 Southwood Ct, Newton, KS 67114

Price

$325,000

Rent

$2,655

CachFlow

-$408

CoC

-5.68

Full Analysis

836 Trinity Ct, Newton, KS 67114

Price

$259,000

Rent

$1,952

CachFlow

-$519

CoC

-8.6

Full Analysis

33 Regal Cres, Newton, KS 67117

Price

$279,900

Rent

$2,242

CachFlow

-$438

CoC

-6.85

Full Analysis
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Newton, KS Mid-Term Rental Market Insights

  • Median cashflow is -$212/month — careful deal selection is essential here
  • 5.3% median cap rate reflects a balanced risk-return profile
  • At 11% positive cashflow rate, Newton, KS requires selective property picks
  • Mid-to-upper tier market with properties from $209,900 to $600,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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