20-22 Milton AvenueLloydNY12528
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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 Lloyd at 20-22 Milton Avenue, Lloyd, NY, 12528 generates $2,575/mo in rent, after a $2,682/mo payment. Total monthly income is $2,575/mo. Return on cash invested sits at 12.84% in year one, and rental yield is 5.64% on a $548,000 entry. Equity gained on principal adds $3,536/yr, while 5% annual appreciation builds toward $151,402 over five years. Five-year ROI reaches 65.56% and total cumulative return in cash sums $118,206. For financing, investors can use Ziffy Mortgage’s DSCR loan, which considers $2,575/mo property income rather than buyer’s personal income.
Multi Family
Built in 1890
0.56 Acres lot
$N/A/sqft
No HOA
Neighborhood Data
Neighborhood data shown for ZIP Code: 12528, Highland, NY area.
Housing Distribution
Housing Statistics
| Category | Value |
|---|---|
| Total HU (Housing Units) | 6,250 (100%) |
| Owner Occupied HU | 3,785 (60.6%) |
| Renter Occupied HU | 1,968 (31.5%) |
| Vacant Housing Units | 497 ( 8.0%) |
| Median Home Value | $415,318 |
| Average Home Value | $438,996 |
Housing Distribution
Address Breakdown
Residential
5,711
Single Family
5,431
Multi-Family
280
Businesses
436
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Listed by: Hayes Clement • Compass Greater NY, LLC
Mls Name: HVCRMLS
Mls Provider:
Mls ID: #20251356
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.