300 Pines Drive UNIT 44-6DenverNY12421
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Ziffy AI Summary
A quick, investor-focused snapshot highlighting income strength, yield potential.
| Key metrics | Value |
|---|---|
| Price | $399,900 |
| Est. Rent | $3,200/mo |
| ROI | 18% |
- Attractive rent-to-price ratio for income stability
- Good fit for DSCR financing with healthy coverage
Investment Highlights
Rental property for sale in Denver at 300 Pines Drive UNIT 44-6, Denver, NY, 12421 generates $2,061/mo in rent, after a $1,463/mo payment. Total monthly income is $2,061/mo. Return on cash invested sits at 14.41% in year one, and rental yield is 8.27% on a $299,000 entry. Equity gained on principal adds $1,929/yr, while 5% annual appreciation builds toward $82,608 over five years. Five-year ROI reaches 76.27% and total cumulative return in cash sums $75,598. For financing, investors can use Ziffy Mortgage’s DSCR loan, which considers $2,061/mo property income rather than buyer’s personal income.
Townhouse
Built in 1984
1,742 sqft lot
$N/A/sqft
$519 monthly HOA
Neighborhood Data
Neighborhood data shown for ZIP Code: 12421, Denver, NY area.
Housing Distribution
Housing Statistics
| Category | Value |
|---|---|
| Total HU (Housing Units) | 380 (100%) |
| Owner Occupied HU | 115 (30.3%) |
| Renter Occupied HU | 23 ( 6.1%) |
| Vacant Housing Units | 242 (63.7%) |
| Median Home Value | $318,000 |
| Average Home Value | $356,196 |
Housing Distribution
Address Breakdown
Residential
131
Single Family
131
Multi-Family
0
Businesses
3
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Listed by: Katherine Keys • The Catskill Dream Team
Mls Name: HVCRMLS
Mls Provider:
Mls ID: #20251243
Disclaimer: IDX information 2025 by the Multiple Listing Service of Ulster County, Inc. All Rights Reserved. The data relating to real estate on this website comes in part from the IDX of the Multiple Listing Service of Ulster County, Inc. Information is deemed reliable but is not guaranteed accurate by the MLS. IDX information is provided exclusively for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing.