12 Cipriano RoadClintondaleNY12515
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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
Investment property for sale in Clintondale at 12 Cipriano Road, Clintondale, NY, 12515 with 5% annual appreciation on a $469,000 basis while $2,731/mo rent supports operations. 81% in year one. Equity gained on principal adds $3,026/yr, and five-year appreciation sums $129,576 alongside rental yield of 6.99%. Five-year ROI measures 86.88% and total cumulative return in cash totals $135,079. Investors can finance this property with Ziffy Mortgage’s DSCR loan that underwrites to $2,731/mo property income versus a $2,296/mo payment rather than your W2s, Paystubs, Tax returns, or 1099 forms.
Multi Family
Built in 1973
0.73 Acres lot
$N/A/sqft
No HOA
Neighborhood Data
Neighborhood data shown for ZIP Code: 12515, Clintondale, NY area.
Housing Distribution
Housing Statistics
| Category | Value |
|---|---|
| Total HU (Housing Units) | 672 (100%) |
| Owner Occupied HU | 432 (64.3%) |
| Renter Occupied HU | 188 (28.0%) |
| Vacant Housing Units | 52 ( 7.7%) |
| Median Home Value | $336,364 |
| Average Home Value | $355,509 |
Housing Distribution
Address Breakdown
Residential
489
Single Family
489
Multi-Family
0
Businesses
41
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Listed by: Anne Hilton Purvis • Coldwell Banker Village GreenN
Mls Name: UCBR
Mls Provider:
Mls ID: #20243785
Disclaimer: IDX information 2024 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.