Postcode district
SL1: house prices and neighbourhoods
The SL1 postcode district (Buckinghamshire, Slough): 1,654 live postcodes across 12 neighbourhoods, with official figures as of 3 October 2026.
Typical house price
£428,000
Median of 59 resales of existing houses in SL1, Aug 2025 to Aug 2026.
Source: HM Land Registry Price Paid Data
Typical flat price
£229,000
Median of 25 resales of existing flats in SL1, Aug 2025 to Aug 2026.
Source: HM Land Registry Price Paid Data
Neighbourhoods in SL1
| Neighbourhood | Council | Typical house | Typical flat | Affluence today | Signs of gentrification |
|---|---|---|---|---|---|
| Bourne End | Buckinghamshire | £600,000 | £290,000 | Among the most affluent | Some signs |
| Burham North, Taplow & Dorney | Buckinghamshire | £745,000 | £340,375 | Among the most affluent | Moving the other way |
| Burnham South | Buckinghamshire | £502,500 | £250,000 | Affluent | Few signs |
| Baylis & Stoke | Slough | £410,000 | £227,000 | Below average income | Some signs |
| Central Slough & Upton Court | Slough | £640,000 | £232,500 | Below average income | Moving the other way |
| Chalvey | Slough | £397,500 | £217,000 | Below average income | Mixed signs |
| Cippenham Green | Slough | £426,500 | £231,000 | Middle income | Few signs |
| Cippenham Meadows | Slough | £390,000 | £184,950 | Below average income | Moving the other way |
| Elliman | Slough | £377,500 | £215,250 | Below average income | Mixed signs |
| Haymill & Lynch Hill | Slough | £447,000 | £235,000 | Middle income | Few signs |
| Manor Park | Slough | £410,000 | £230,000 | Below average income | Few signs |
| Wexham Road | Slough | £402,500 | £226,250 | Below average income | Moving the other way |
Each neighbourhood's figures are the median resale prices of houses and flats, Affluence today and the gentrification indication from its own page.
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Prepare a full report for a home See a sample reportNeighbourhood names: House of Commons Library, MSOA Names, Open Parliament Licence v3.0. Contains HM Land Registry data © Crown copyright and database right 2026. This data is licensed under the Open Government Licence v3.0. Contains National Statistics data © Crown copyright and database right 2026. Figures describe the area, not any home, and are not a valuation or a prediction.