Through-lot parcels
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Active MLS
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Sold last 12mo
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Top-20% deals
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Median ROI
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Median spread
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📐 Section 1 · Bracket Comparison side-by-side metrics across Shallow / Medium / Deep
Shallow
Medium
Deep
ROI distribution by bracket
Spread distribution by bracket
📊 Section 2 · Market Analysis distribution of inputs feeding the deal math
Lot width (ft)
Lot depth (ft)
Lot area (sq ft)
Acquisition cost
Projected sellout (current scenario)
ROI % (current scenario)
🏘️ Section 3 · Top Neighborhoods ranked by # of top-20% deals · click to filter
💰 Section 4 · Top Active Deals top 50 ACTIVE or COMING SOON listings, ranked by spread · click address to open property
📚 Methodology & Limitations
Source
SFR Through Lots Koch dataset (through_lots_koch_2026-05-04.json, 64,991 parcels).
Filtered to obb_width_ft ≥ 48 and obb_depth_ft ≥ 120.
Brackets
Shallow 120–130 ft · Medium 130–140 ft · Deep 140+ ft. Boundaries are half-open. Mirrors the production map sub-layers.
Scenarios
- A — 4 × 1,200sf 2bd · 4,800 sf total · build $2,160,000 (@ $450/sf)
- B — 2 × 1,600sf 3bd + 2 × 1,200sf 2bd · 5,600 sf total · build $2,520,000
ARV (sellout)
P80 of 1mi sold condo+TH PSF, last 12mo, BedroomsTotal±1 of unit beds, LivingArea ±15% of unit SF. Falls back to P75 if 3–4 comps; null if <3.
Acquisition cost cascade
list_price (active MLS) → recent_sold_price (12mo) → avm_asis_p50
Deal tier
Quintiles of best_spread computed per bracket (each bracket gets its own
P80/P60/P40/P20 boundaries).
Caveats
- At $450/sf build cost, most parcels lose money under both scenarios — median ROI is negative across all brackets. The deal tiers still surface the relative best in each bracket.
- Scenario A sellout is null where there were <3 nearby 2bd condo+TH comps in the 1mi/12mo window.
- Property listings/solds counts reflect on-parcel MLS activity, not surrounding market.