Delhi market check: -4.6% movement and 43 days on market [mixed-use building]

StillPorch

Real estate agent
Established
The headline suggests a softer Delhi market. I am not yet convinced it describes comparable stock.

The mixed-use buildings I am following fall between ₹27,050,000 and ₹40,580,000, with a reported 4.6% fall and about 43 days of marketing. Condition appears to affect the negotiated result, but supply within a tightly drawn neighbourhood may be more informative than city-wide demand. Relisted properties could also distort the time figure if their earlier marketing periods disappear.

Are others seeing the same pattern? Please include the neighbourhood boundary and the building’s actual residential and commercial mix. Completed prices, seller motivation, new supply, withdrawals and the timing of reductions would be especially useful, as would confirmation of whether the 4.6% refers to asking prices or completed deals.
 
The supply explanation is plausible, but 43 days can mislead if withdrawn and relisted properties return with a fresh date. I’d separate continuous days on market from the advertised age of the current listing. Also, is the 4.6% movement based on asking prices, completed prices, or the difference between the two?
 
The neighbourhood boundary is the missing piece for me. A Delhi-wide range of ₹27,050,000 to ₹40,580,000 could combine buildings with very different commercial frontage, residential configuration and condition. Even two nearby pockets may not be comparable. How narrowly have you drawn the area, and are all the properties genuinely mixed-use rather than residential buildings with one commercial unit?
 
Condition may be standing in for several separate issues. A visibly tired building invites one discount, while a property that is harder for a buyer to finance may need a different adjustment even if it looks presentable. I would record physical condition and buyer-financing difficulty separately instead of putting both into a single “needs work” category.
 
I’m not convinced supply is necessarily the main driver. Seller motivation can create the same pattern: one owner cuts early to complete a sale, while another leaves an ambitious price unchanged for 43 days and eventually withdraws. Without completed transactions, the active listings mostly show sellers’ expectations rather than where buyers are clearing the market.
 
A practical way forward would be a property-by-property sheet with initial ask, current ask, first-listing date, any relisting, condition, broad financing status, and final outcome. Group it by the narrowest defensible neighbourhood boundary. That should reveal whether the 4.6% movement comes from widespread small cuts or a few strongly discounted buildings.
 
Oscar’s point changes how I’d read the 43-day figure. It would help to split sellers into three outcomes: sold, still active and withdrawn. Then compare the timing of the first price cut in each group. If withdrawals are concentrated among unchanged listings, weak seller motivation may explain more than excess supply; if fresh listings keep replacing them, the supply argument becomes stronger.
 
I’d also avoid extending the conclusion to India as a whole until the Delhi sample is clean. Mixed-use buildings are especially sensitive to exact location and configuration, so the useful comparison is probably within the same neighbourhood and property subtype. First clarify what the 4.6% measures, then add recent completed sales and preserve the original listing dates. That would make the 43-day figure much more meaningful.
 
Back
Top