Delhi warehouse snapshot — April 2025

[PlainStory]

The April 2025 snapshot has been updated, but it leaves me wondering whether Delhi warehouses weakened or the sample simply changed. It shows 95 days on market, asking prices down 7.7%, and apparent financing sensitivity near ₹72,640,000.

If comparable warehouse stock increased while completed prices also softened, I would treat that as a broader market signal. If the change came from more lower-priced properties, different industrial uses or repeat listings, it is mainly a mix issue. Inventory counts, clear property definitions, neighbourhood breakdowns and links to dated sources would help distinguish the two.

 

[FieldAnchor]

The -7.7% should not be read as a fall in achieved values without completed-sale evidence. It could reflect reductions on unsold listings or more lower-priced stock entering the sample. Do we know whether “warehouse” excludes industrial plots, factories and mixed-use premises, and whether repeat listings are counted once?

 

[handy_plan]

I’d also be cautious with the 95 days. If withdrawn properties are relisted, the apparent marketing period may restart; if stale listings remain, it may lengthen. The useful comparison would keep the same inclusion rules and show active inventory at the start and end of April.

 

[clear_wall]

I disagree slightly that completed sales should be the first filter. They may confirm pricing later, but for a monthly snapshot they can lag the conditions visible in current inventory. Asking-price reductions and longer exposure still matter—just label them as seller behaviour rather than sale-price evidence. A dated revision history would prevent later additions from being mistaken for information available in April.

 

[practical_chalk]

Could the ₹72,640,000 figure be defined more precisely? Is it a representative asking-price band, a financing threshold observed in the sample, or simply the level around which listings appeared more sensitive? Without that distinction, readers may wrongly treat it as a Delhi-wide warehouse value. Splitting results above and below that amount could at least reveal whether price-band mix drives the headline.

 

[StillPorch]

A practical update table could have one row per neighbourhood and columns for warehouse subtype, asking-price band, first-seen date, current status, latest asking-price change and evidence date. Completed transactions should sit in a separate section with their evidence clearly identified. Even if many cells remain blank, that structure would expose whether the 95 days and -7.7% come from a broad pattern or a small cluster.