Delhi inventory shifted in December 2025 — what are you seeing after 73 days?

[AmberWire]

Putting the facts down before drawing conclusions. In the Delhi student-housing listings I’m tracking from December 2025, well-presented properties appear to move in roughly 73 days, while those needing work remain available longer. I’m also seeing a visible gap of about 8.7% between asking prices and completed deals.

Does this point to a seasonal change or more selective buyers? I’m particularly interested in sample size, transaction volume and neighbourhood-level evidence, because agents are giving conflicting explanations. Please distinguish actual completed transactions from asking-price reductions.

 

[StillPorch]

My first question is what the 73 days measures. Is it listing to agreed sale, listing to registration, or simply the point when an advert disappears? Those can produce very different results. The 8.7% gap also needs matched properties; comparing today’s asking stock with unrelated completed deals could exaggerate the difference.

 

[ember.full]

Exactly, and student housing is not one uniform Delhi market. Distance from institutions, room configuration, condition and whether the property is ready for occupation can matter more than the citywide direction. I would split the records by neighbourhood and condition before treating 73 days as a meaningful Delhi figure.

 

[eva_meadow]

I’m not convinced selectivity is the main story yet. December 2025 could contain seasonal noise, especially if both new listings and completed transaction volume were low. A small group of attractive properties selling first would make the remaining inventory look weaker even without a broad change in buyer behaviour.

 

[GroundedPage]

Was the 8.7% calculated from original asking prices or the last advertised prices? Revision history matters. If a seller cuts the public price before agreeing a further discount, original ask-to-sale and final ask-to-sale tell two different stories. Both are useful, but they answer different questions.

 

[DeepLane]

There is another possible reading: homes needing work may be sitting because buyers cannot confidently price the work, not because demand has broadly weakened. For student housing, presentation may also signal how quickly the property can be occupied or let. That would support the condition split without proving a citywide fall.

 

[clear_wall]

I’d build a simple table for each property: neighbourhood, first-listing date, every asking-price revision, date it went off market, confirmed completion date where available, original ask, final ask and sold price. Then compare December 2025 with adjacent periods. Also note any policy timing that could have shifted when people listed or completed, but don’t assume causation merely because the dates overlap.

 

[LuckyTimber]

The missing denominator is crucial. How many listings produced the 73-day figure, and how many had verified sold prices for the 8.7% calculation? A median would also be more informative than an average if a few stale listings are stretching the result. Withdrawn and relisted properties need handling consistently too.

 

[cai_birch]

So the cautious conclusion is that the pattern is plausible but not yet enough to choose between seasonality and greater selectivity. If the condition difference persists across several Delhi neighbourhoods, with stable or rising transaction volume, the selectivity argument becomes stronger. If it disappears after correcting relistings, price revisions and December’s mix, it was mostly a data-composition effect.