Delhi student housing: is 98 days a realistic selling period?

[emery_leases]

The difficulty is that active listings do not reveal how quickly the successful ones sold. In my sample of Delhi student housing between ₹30,060,000 and ₹45,090,000, the apparent marketing period is 98 days, but withdrawn properties and price reductions make that figure hard to interpret. A few unusual cases also seem linked to insurance issues.

Renovated stock appears to find buyers sooner, though that may reflect pricing or location rather than condition alone. Would a cohort based on original listing dates and verified completed sales be more useful? I am unsure whether withdrawals should count as failed marketing periods or remain in a separate category.

 

[plan.prime]

Listings still online will naturally make the market look slower because the quick sales have disappeared from that pool. I’d build a cohort from the original listing date, then mark each property sold, active or withdrawn. Completed sales help, but excluding withdrawals would make the opposite mistake by hiding unsuccessful marketing periods.

 

[plan.prime]

Also, how tightly have you drawn the neighbourhood boundaries? Combining different student catchments could make condition look more important than location. New-listing volume matters too: a burst of fresh stock can lower the apparent age without showing any real improvement in demand.

 

[writesAndLedger]

I wouldn’t yet conclude that renovation itself is causing the faster sales. Renovated properties may simply have been priced more realistically or offered by more motivated sellers. Conversely, repeated price cuts can signal that the opening price was wrong rather than that buyers dislike unrenovated stock. Completed deals have their own bias because they omit properties that never found a buyer. Keep the insurance-related cases separate until you know whether they are genuinely comparable.

 

[earnest_hill]

A practical approach is to track each listing by neighbourhood, condition, first-seen date, first price-cut date and final status. Add buyer financing where that information is actually available. Then calculate the 98-day figure three ways: active listings only, completed sales only, and the full cohort including withdrawals. That should show whether you are measuring market speed, seller pricing strategy or simply the ageing stock left online.