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REI Lense

Tooele, UT Mid-Term Rental Analysis

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

Tooele, UT Mid-Term Rental Investment Snapshot

Based on 15+ mid-term rental datapoints

Median Cap Rate

5%

Avg Cash on Cash

-5.3%

Median Cashflow

-$511/mo

Avg Rent Estimate

$3,241/mo

Avg Price

$449,504

Price Range

$377,000 - $539,950

Rent to Price

0.72%

low ratio

Positive Cashflow

0%

of analyzed properties

Recent real estate investor listings analysed as mid-term rental deals in Tooele, UT

Tooele, UT 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 -5.3%.

Across 15+ analyzed properties, Tooele, UT mid-term rental investments show a median monthly cashflow of -$511 with average furnished rent estimates of $3,241/month. These figures reflect real property data, not projections.

589 Nelson Ave, Tooele, UT 84074

Price

$404,999

Rent

$2,924

CachFlow

-$484

CoC

-5.64

Full Analysis

487 Ontario St, Tooele, UT 84074

Price

$377,000

Rent

$3,372

CachFlow

-$19

CoC

-0.23

Full Analysis

141 W 2100 N, Tooele, UT 84074

Price

$471,100

Rent

$3,400

CachFlow

-$542

CoC

-5.56

Full Analysis

417 E Vine St, Tooele, UT 84074

Price

$428,200

Rent

$2,814

CachFlow

-$698

CoC

-7.76

Full Analysis

1018 W 1220 S, Tooele, UT 84074

Price

$539,950

Rent

$3,484

CachFlow

-$926

CoC

-8.46

Full Analysis
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Tooele, UT Mid-Term Rental Market Insights

  • Median cashflow is -$511/month — careful deal selection is essential here
  • 5% median cap rate reflects a balanced risk-return profile
  • At 0% positive cashflow rate, Tooele, UT requires selective property picks
  • Mid-to-upper tier market with properties from $377,000 to $539,950
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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