200 W Griffith Rd TRAILER 7PocatelloID83201
Nearby investment properties with comparable rents
Nearby investment properties with comparable prices
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 Pocatello at 200 W Griffith Rd TRAILER 7, Pocatello, ID, 83201 earns $223/mo cash flow from $975/mo rent with a $611/mo payment. Total monthly income totals $975/mo, and annual cash flow totals $2,682/yr on $41,404 capital. ROI tracks 26.39% on current figures, and rental yield reads 9.37% at a $124,900 purchase. Equity gained on principal adds $806/yr, and 5% annual appreciation supports $34,508 over five years. Five-year ROI reaches 137.4% and total cumulative return in cash sums $56,890. Financing can be set up with Ziffy Mortgage’s DSCR loan, which is driven by $975/mo property income instead of your personal income.
Manufactured
Built in 1984
3,484 sqft lot
$N/A/sqft
$400 annually HOA
Neighborhood Data
Neighborhood data shown for ZIP Code: 83201, Pocatello, ID area.
Housing Distribution
Housing Statistics
| Category | Value |
|---|---|
| Total HU (Housing Units) | 16,799 (100%) |
| Owner Occupied HU | 10,384 (61.8%) |
| Renter Occupied HU | 5,367 (31.9%) |
| Vacant Housing Units | 1,048 ( 6.2%) |
| Median Home Value | $346,799 |
| Average Home Value | $373,183 |
Housing Distribution
Address Breakdown
Residential
15,926
Single Family
14,778
Multi-Family
1,148
Businesses
1,282
Nearby investment properties with comparable rents
Nearby investment properties with comparable prices
Listed by: Scott Keller • ReMax Country Real Estate
Mls Name: PCTMLS
Mls Provider:
Mls ID: #580136
Disclaimer: IDX information is provided exclusively for consumers personal, non-commercial use, that it may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing, and that data is deemed reliable but is not guaranteed accurate by the MLS.