Mumbai studio market: 5.6% decline, 14 days listed and condition-related discounts

[clear_wall]

The difficulty is separating real price movement from changes in the listings being observed. My Mumbai studio sample runs from ₹56,110,000 to ₹84,170,000 and shows a 5.6% fall with about 14 days of listing exposure.

Condition seems relevant, but I may be grouping several effects together: the unit’s fit-out, unresolved repairs, building upkeep and recurring charges. Buyer financing, fresh listing volume and the timing of reductions could also explain the spread. Are others seeing a similar pattern? It would help to know the Mumbai neighbourhood, the type of property and whether the evidence comes from completed transactions or revisions to advertised prices.

 

[sunny_room]

Condition could explain part of it, but “maintenance” needs unpacking. Do you mean the studio’s fit-out, recurring building charges, unresolved repairs, or the general condition of common areas? Buyers may price each of those differently. Also, is the 5.6% movement based on original asking prices, latest asking prices, or completed deals?

 

[booksAndHill]

Counting every vanished advert as a sale is too optimistic, while dropping all of them would discard useful evidence. Sold, withdrawn and relisted properties need separate labels before the 14-day figure can say much about demand.

The harder error to undo is treating listing exposure as transaction evidence. I would first match outcomes within the same building, then compare original and latest asking prices. Completed sales should carry more weight than nearby adverts, especially where financing or a timed price cut may have influenced the result.

 

[kit_reese]

I’m not convinced maintenance is necessarily the main driver. Seller motivation and buyer financing could produce the same pattern: a well-kept unit may still be discounted if the seller wants speed, while a poorer unit might hold its price. Which Mumbai neighbourhood boundaries are you using? At this price range, grouping adjacent micro-markets could distort the comparison.

 

[clear_wall]

Those are fair challenges. I was using “maintenance” too broadly, covering both unit condition and building upkeep, so I need to separate them. I also haven’t cleanly divided sold, withdrawn and relisted stock; therefore the 14-day figure should be treated as listing exposure, not proof of a completed sale. My next pass will compare original and latest asking prices, then isolate completed sales where available.

 

[StillPorch]

A simple way to test the theory is to keep one row per studio and record the stated neighbourhood, building, initial price, latest price, first-listing date, condition notes and final status. Add price-cut timing rather than only the total reduction. An early cut may indicate seller motivation; a late cut after little interest tells a different story.

 

[kit_reese]

That structure helps, but I’d also separate cash-ready interest from purchases dependent on financing, without assuming the latter caused a failed deal. Financing can extend the path from offer to completion even when the listing was removed quickly. For neighbourhood comparisons, use the listing’s precise locality rather than a broad Mumbai label and flag uncertain boundaries instead of forcing them into one group.

 

[kit_reese]

One more caveat: new-listing volume matters alongside withdrawn stock. Fourteen days can look strong during a quiet period simply because buyers have fewer alternatives. I’d compare each week’s new studios, withdrawals, price cuts and confirmed completions. If maintained units still achieve smaller reductions after controlling for building and seller timing, the maintenance explanation becomes much stronger.