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Niskayuna, NY Long-Term Rental Analysis

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

Niskayuna, NY Long-Term Rental Investment Snapshot

Based on 15+ long-term rental datapoints

Median Cap Rate

3.9%

Avg Cash on Cash

-10.3%

Median Cashflow

-$790/mo

Avg Rent Estimate

$2,610/mo

Avg Price

$383,231

Price Range

$339,000 - $406,200

Rent to Price

0.68%

low ratio

Positive Cashflow

0%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Niskayuna, NY

Niskayuna, NY 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 3.9% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 15+ analyzed properties, the median monthly cashflow in Niskayuna, NY is -$790 with average rents of $2,610/month. Properties range from $339,000 to $406,200, offering entry points across multiple investment budgets.

1934 Clifton Park Road, Niskayuna, NY 12309

Price

$368,400

Rent

$2,883

CachFlow

-$358

CoC

-5.55

Full Analysis

1082 Cornelius Avenue, Niskayuna, NY 12309

Price

$369,200

Rent

$2,546

CachFlow

-$642

CoC

-9.94

Full Analysis

876 Heather Lane, Niskayuna, NY 12309

Price

$499,000

Rent

$3,674

CachFlow

-$738

CoC

-8.45

Full Analysis

703 Maple Lane, Niskayuna, NY 12309

Price

$539,400

Rent

$3,124

CachFlow

-$1,526

CoC

-16.17

Full Analysis

2232 Balltown Road, Niskayuna, NY 12309

Price

$219,000

Rent

$2,189

CachFlow

-$134

CoC

-3.5

Full Analysis
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Niskayuna, NY Rental Market Insights

  • Median cashflow is -$790/month — careful deal selection is essential here
  • 3.9% median cap rate is typical of appreciation-focused markets
  • At 0% positive cashflow rate, Niskayuna, NY requires selective property picks
  • Mid-to-upper tier market with properties from $339,000 to $406,200
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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