Homes I Can Afford

Combine cash, mortgage (DSR/LTV), acquisition tax + local education surcharge (simple, price-dependent), and fixed fees to estimate a purchase ceiling, then list Seoul/Gyeonggi apartments using recent real-trade signals. The tool shows the median of the latest 3 trades alongside the latest trade price.

My criteria

Set cash, rate, desired loan cap, LTV, first-time buyer, and regulated-area rule on this screen; open advanced for region, income, DSR, and more.

Cash available (KRW)

2억원

Cash you can use for the purchase (you may include room for tax and legal fees).

Expected rate (%)

Desired loan cap (KRW)

4억원

Caps the loan below what DSR/LTV allow when you want to borrow less. Omit or 0 for no cap. Example: ₩900M price at 70% LTV caps the loan around ₩630M; equity, tax, and fees still come from your cash pool.

Applied LTV (%)

Regulated / overheated area (non–first-time: model caps mortgage LTV at 40%)

When on and you are not a first-time buyer, the model uses min(your LTV %, 40%) for the mortgage. It does not auto-detect each complex’s district rules; rent/second-tier loans and bank-specific exceptions are not modeled.

First-time buyer (affects acquisition-tax brackets)

Acquisition tax and local education surcharge (10% of acquisition tax) are recomputed for each candidate price (including the binary-searched ceiling). First-time model: ≤₩600M 1%, ₩600M–900M progressive (2×price/₩300M−3)×1%, >₩900M capped at 3% acquisition rate (simplified). Non-first uses a conservative step model. Rural surcharges, caps, and regulated-area surtaxes are not included.

The trade database is apartment-centric. Villas, multi-family houses, and officetels need separate ingestion before filters can apply. Room count is not in public trade fields, so it is omitted.

HZTOOLS

Homes I Can Afford

Homes I Can Afford