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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

5.4%

Avg Cash on Cash

-4.4%

Median Cashflow

-$184/mo

Avg Rent Estimate

$2,508/mo

Avg Price

$263,108

Price Range

$172,900 - $390,000

Rent to Price

0.95%

okay ratio

Positive Cashflow

33%

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 -4.4%.

Across 10+ analyzed properties, Newton, KS mid-term rental investments show a median monthly cashflow of -$184 with average furnished rent estimates of $2,508/month. These figures reflect real property data, not projections.

604 Goldspike Ct, Newton, KS 67114

Price

$350,000

Rent

$2,992

CachFlow

-$453

CoC

-5.94

Full Analysis

620 N Duncan St, Newton, KS 67114

Price

$172,900

Rent

$2,796

CachFlow

$612

CoC

13.52

Full Analysis

851 Meadowlark Ln, Newton, KS 67114

Price

$284,900

Rent

$2,650

CachFlow

$37

CoC

0.57

Full Analysis

627 S Poplar St, Newton, KS 67114

Price

$200,000

Rent

$2,217

CachFlow

$48

CoC

0.96

Full Analysis

532 N Rock Rd, Newton, KS 67114

Price

$600,000

Rent

$2,913

CachFlow

-$1,860

CoC

-15.5

Full Analysis
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Newton, KS Mid-Term Rental Market Insights

  • Median cashflow is -$184/month — careful deal selection is essential here
  • 5.4% median cap rate reflects a balanced risk-return profile
  • At 33% positive cashflow rate, Newton, KS requires selective property picks
  • Moderately priced market with properties from $172,900 to $390,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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