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Livingston, TX Long-Term Rental Analysis

Analyze rental property cap rates, cash-on-cash returns, and cashflow for long-term rental investments in Livingston, TX. Based on 20+ datapoints.

Livingston, TX Long-Term Rental Investment Snapshot

Based on 20+ long-term rental datapoints

Median Cap Rate

5%

Avg Cash on Cash

-7.5%

Median Cashflow

-$200/mo

Avg Rent Estimate

$1,900/mo

Avg Price

$331,546

Price Range

$99,000 - $895,000

Rent to Price

0.57%

low ratio

Positive Cashflow

30%

of analyzed properties

Recent real estate investor listings analysed as long-term rental deals in Livingston, TX

Livingston, TX is an emerging long-term rental market gaining investor attention. With 20+ properties analyzed, early data shows the market is developing. The median cap rate of 5% suggests room for early-mover advantage as more rental inventory becomes available.

Based on 20+ analyzed properties, the median monthly cashflow in Livingston, TX is -$200 with average rents of $1,900/month. Properties range from $99,000 to $895,000, offering entry points across multiple investment budgets.

1239 Tony Peebles Rd, Livingston, TX 77351

Price

$527,500

Rent

$2,594

CachFlow

-$1,746

CoC

-18.91

Full Analysis

527 Autumn Ln, Livingston, TX 77351

Price

$335,900

Rent

$1,737

CachFlow

-$664

CoC

-11.3

Full Analysis

168 Bush St, Livingston, TX 77351

Price

$248,900

Rent

$1,655

CachFlow

-$412

CoC

-9.46

Full Analysis

291 Buffalo Ct, Livingston, TX 77351

Price

$124,900

Rent

$1,697

CachFlow

$269

CoC

12.31

Full Analysis

1383 Tram Rd, Livingston, TX 77351

Price

$875,000

Rent

$1,838

CachFlow

-$3,617

CoC

-23.62

Full Analysis
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Livingston, TX Rental Market Insights

  • Median cashflow is -$200/month — careful deal selection is essential here
  • 5% median cap rate reflects a balanced risk-return profile
  • At 30% positive cashflow rate, Livingston, TX requires selective property picks
  • Mid-to-upper tier market with properties from $99,000 to $895,000
  • Early-stage market data — revisit as more properties are analyzed for stronger signals

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