London inventory shift in November 2025: seasonal or greater buyer selectivity?

[bea_listings]

A November 2025 update has left me with a more specific question about London buyer behaviour. The working figures show well-presented detached homes taking about 66 days, with renovation stock tending to linger, while the difference between advertised and achieved prices is being reported at roughly 4.8%.

Before calling that greater selectivity rather than a seasonal effect, I would like to know the sample size, neighbourhood mix and revision history. Is the 4.8% calculated from original prices or the latest reduced prices, and do the completions reflect offers agreed in the same period? Policy timing may also have shifted listing or completion dates. Local examples are welcome, but please identify them as neighbourhood observations rather than evidence for London as a whole.

 

[bakesAndView]

My first concern would be whether the two price series cover comparable homes and dates. Completed prices reflect offers agreed earlier, whereas today’s asking stock may include newer listings and reductions. The 66-day figure hints at condition-based selectivity, but it doesn’t establish it. How large is the detached-home sample, which London areas are included, and is the 4.8% measured against original or latest asking price?

 

[teaAndPath]

I wouldn’t assume seasonality is the main explanation. London-wide averages can hide completely different neighbourhood patterns, especially if transaction volume is thin. Policy timing can also change when people list or complete without producing a lasting price shift. I’d want the November 2025 figures compared with the same property mix in earlier months, not just the preceding headline number.

 

[wise_book]

A useful next step is to split the records by neighbourhood, condition and listing month, then track original asking price, any revisions, agreed price and completion date separately. Keep the revision history rather than treating the latest listing price as the starting point. If the 4.8% gap persists across several completion cohorts and adequate transaction volumes, the selectivity argument becomes stronger; if it disappears after matching dates and areas, it was probably a timing or mix effect.