REI Lense

REI Lense

Watertown, SD Long-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for long-term rental investments in Watertown, SD. Based on 15+ datapoints.

Watertown, SD Long-Term Rental Investment Snapshot

Based on 15+ long-term rental datapoints

Median Cap Rate

4.4%

Avg Cash on Cash

-10%

Median Cashflow

-$485/mo

Avg Rent Estimate

$1,763/mo

Avg Price

$274,000

Price Range

$114,900 - $480,000

Rent to Price

0.64%

low ratio

Positive Cashflow

8%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Watertown, SD

Watertown, SD is an emerging long-term rental market gaining investor attention. With 15+ properties analyzed, early data shows the market is developing. The median cap rate of 4.4% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 15+ analyzed properties, the median monthly cashflow in Watertown, SD is -$485 with average rents of $1,763/month. Properties range from $114,900 to $480,000, offering entry points across multiple investment budgets.

1313 N Broadway St, Watertown, SD 57201

Price

$290,600

Rent

$1,991

CachFlow

-$359

CoC

-7.06

Full Analysis

2202 10th Ave SW, Watertown, SD 57201

Price

$114,900

Rent

$1,684

CachFlow

$572

CoC

28.45

Full Analysis

225 4th Ave SW, Watertown, SD 57201

Price

$192,900

Rent

$1,391

CachFlow

-$268

CoC

-7.94

Full Analysis

115 20th St NW, Watertown, SD 57201

Price

$315,400

Rent

$1,829

CachFlow

-$618

CoC

-11.2

Full Analysis

321 5th Ave SW, Watertown, SD 57201

Price

$211,900

Rent

$1,423

CachFlow

-$276

CoC

-7.44

Full Analysis
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Watertown, SD Rental Market Insights

  • Median cashflow is -$485/month — careful deal selection is essential here
  • 4.4% median cap rate is typical of appreciation-focused markets
  • At 8% positive cashflow rate, Watertown, SD requires selective property picks
  • Moderately priced market with properties from $114,900 to $480,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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