Postcode district
LS17: house prices and neighbourhoods
The LS17 postcode district (Leeds, North Yorkshire): 1,262 live postcodes across 12 neighbourhoods, with official figures as of 31 October 2026.
Typical house price
£411,250
Median of 112 resales of existing houses in LS17, Sep 2025 to Sep 2026.
Source: HM Land Registry Price Paid Data
Typical flat price
£132,500
Median of 23 resales of existing flats in LS17, Sep 2025 to Sep 2026.
Source: HM Land Registry Price Paid Data
Neighbourhoods in LS17
| Neighbourhood | Council | Typical house | Typical flat | Affluence today | Signs of gentrification |
|---|---|---|---|---|---|
| Alwoodley | Leeds | £440,000 | £252,500 | Among the most affluent | Mixed signs |
| Carr Manor | Leeds | £341,750 | £170,000 | Affluent | Mixed signs |
| Collingham, Rigton & Harewood | Leeds | £613,000 | £215,000 | Among the most affluent | Moving the other way |
| Moor Allerton | Leeds | £270,000 | – | Below average income | Clear signs |
| Moortown | Leeds | £409,750 | £179,775 | Affluent | Few signs |
| Primley Park & Wigton Moor | Leeds | £363,750 | £145,000 | Affluent | Clear signs |
| Roundhay Park & Slaid Hill | Leeds | £501,000 | £195,000 | Among the most affluent | Clear signs |
| Roundhay West | Leeds | £415,500 | £236,250 | Affluent | Some signs |
| Scarcroft, Shadwell & Scholes | Leeds | £362,500 | – | Affluent | Moving the other way |
| Whinmoor | Leeds | £240,000 | – | Below average income | Moving the other way |
| Menwith, Beckwithshaw & Denton Moor | North Yorkshire | £535,000 | – | Affluent | Moving the other way |
| Spofforth, Burn Bridge & Huby | North Yorkshire | £612,500 | – | Among the most affluent | 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.