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I agree that condition needs clearer categories, though classification alone will not solve the timing problem. The records should retain neighbourhood, property type, condition, original and revised asks, completed price, listing date and the event that ended the 11-day count. Withdrawals...

Agreed on separating listing history from true exposure time. I’d build a small table by neighbourhood and condition: original ask, latest ask, days advertised, occupancy, price-cut date, and whether it sold or disappeared. That should show whether the 4.3% movement comes from completed deals...

Vacancy may matter, but 92 days can be misleading if withdrawn and relisted properties restart the clock. I’d first separate occupied buildings, genuinely vacant buildings, and stock needing substantial work. Also, how tightly are you defining Delhi neighbourhood boundaries? Combining unlike...