London Market Intelligence — Live Rents, Yields and Market Depth | Fraser Bond

London Market IntelligenceOverviewOffice rentsRetail & mixed-useIndustrial & warehouseMarket depthMethod

London market intelligence

Rents, spreads and availability computed from Fraser Bond’s live instructions and recalculated as the book changes. Not a quarterly PDF, and not a prime headline rent — the distribution of what is actually being quoted today.

Recalculated 1 November 2026 from live instructions.

Why this is not another market report

Published market commentary quotes the prime rent: the best floor, in the best building, at the top of the range. It is a real number and it answers one question well. It is also a single point, and almost nobody publishes what sits underneath it.

These pages publish the whole distribution — lower quartile, median, upper quartile and the spread between them — for every submarket with a large enough live sample. The spread is the part that prices a requirement, because it tells you whether a submarket is one market or two.

As it stands today

 Figure
London office instructions priced per sq ft1,424
London office submarkets with a publishable sample24
Highest median submarket (Mayfair)£97.00 per sq ft
Mis-tagged figures excluded from the tables80

Every figure is derived from live, available instructions, and the method page states exactly what is excluded, what is estimated and what we refuse to publish at all.

How to read this

Recalculated, not drafted. These figures are computed from the live book. When instructions change, the pages change.

Quoting rents, all grades. Asking rents across the whole available stock, not prime headline rents and not achieved rents. The method page explains the difference and why it matters when you compare us to anyone else.

Where the gaps are stated. Yields and capital values per sq ft are not published, because the data required to compute them honestly is not held. That is on the method page too.

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Office rents  ·  Retail & mixed-use  ·  Industrial & warehouse  ·  Market depth  ·  Method