Between January 2020 and July 2022, the London-wide median transaction price per square metre rose from £5,782 to £6,590 — a surge of +14.0% in just two and a half years, after three and a half years of near-zero nominal growth. That reversal was abrupt, dramatic, and concentrated in a very specific part of the map.
The prevailing narrative was simple: lockdowns triggered a "race for space", sending buyers into the suburbs and the commuter belt in search of extra bedrooms and gardens. The data is more nuanced. There was a powerful location rotation — but the floor area premium actually fell during the boom. People were not paying more per square metre for bigger homes. They were moving to cheaper areas and buying at lower absolute prices per metre.
The headline +14% conceals a 10:1 disparity between the best and worst-performing areas. Sevenoaks/Orpington fringe (TN) rose +21.7%, Dartford and Bexley (DA) rose +19.1%, and Romford (RM) rose +18.2%. At the other end, Kensington and Notting Hill (W) gained just +2.3%. This is not noise — it is the most geographically concentrated price rotation in two decades of data.
| Area | Jan 2020 (£/sqm) | Jul 2022 (£/sqm) | Change |
|---|---|---|---|
| TN (Sevenoaks fringe) | £3,937 | £4,792 | +21.7% |
| DA (Dartford / Bexley) | £4,392 | £5,229 | +19.1% |
| RM (Romford) | £4,411 | £5,213 | +18.2% |
| E (Stratford / Whitechapel) | £6,476 | £7,317 | +13.0% |
| CR (Croydon) | £4,657 | £5,251 | +12.8% |
| N (Islington / Holloway) | £7,237 | £7,957 | +9.9% |
| SW (Chelsea / Battersea) | £8,626 | £9,596 | +11.2% |
| NW (Hampstead / Kilburn) | £7,753 | £8,275 | +6.7% |
| W (Kensington / Notting Hill) | £9,803 | £10,027 | +2.3% |
| London median | £5,782 | £6,590 | +14.0% |
Nominal price change by area, January 2020 – July 2022
This is where the factor model adds real insight. If the COVID boom had been driven by a rising premium for extra floor area — the "race for space" thesis — we would expect the floor area factor to have risen sharply. It fell by -3.1%.
What actually happened: buyers priced out of inner London moved to areas where the same budget bought more square metres at a lower price per metre. The median rose because the composition shifted towards cheaper-per-metre outer areas where prices rose the most. That is a location story, not a size story. Outer London became more sought-after; extra square footage in any given postcode did not.
After falling nearly 5 points between 2016 and 2019, the flat premium moved only -0.3% during the COVID boom — effectively pausing its decline. This was not a recovery; it was stasis. The structural reasons the flat premium had been eroding (leasehold costs, service charges, cladding concerns gaining public attention) did not go away during the pandemic. They were simply overshadowed by the outer-London location story.
One factor that genuinely improved during this period was new build. After widening to a discount of roughly -5% relative to equivalent second-hand stock by early 2020, the new-build factor recovered by +2.3% during the boom. The expiry of Help to Buy was on the horizon, completions were falling, and demand for energy-efficient homes was starting to firm up. The recovery was modest, but it was the first reversal in a multi-year deterioration.
| Factor | Period return | Direction |
|---|---|---|
| Baseline Market | +13.1% | Quality-adjusted prices broadly matched nominal gains |
| New Build | +2.3% | First recovery after years of widening discount |
| Freehold | -0.5% | Flat |
| Energy Score | -0.5% | Green premium still not materialising |
| Flat Premium | -0.3% | Decline paused but did not reverse |
| Floor Area | -3.1% | The "race for space" was a location story, not a size story |
Factor returns, January 2020 – July 2022
By July 2022 the London market had reached its highest nominal price levels ever. Those who had bought in outer areas before the pandemic were sitting on 15–20% gains in under three years. Those who had bought prime central London flats in 2019 or 2020 had seen minimal appreciation — and were about to face a sharp correction as interest rates moved.
Enter any London postcode to see its price history through the COVID period and compare it to the London average.
Analyse a Postcode →What happened when the Bank of England started hiking rates in late 2022 — and kept hiking? The nominal median barely moved, but the factor model reveals dramatic structural shifts underneath. Read Part 3 →
Factor returns are derived from a rolling 3-month cross-sectional OLS regression of log(price/sqm) on eight property characteristics, run on every Land Registry transaction matched to an EPC certificate. All returns are computed within this period only. Nominal transaction prices are the median of raw Land Registry £/sqm figures by postcode area. See the factors page for full definitions.