Kelcliffe Grove
Leeds, England
Reality check: A balanced street with no standout strengths or critical weaknesses. Best suited for young professionals (good), least for retirees (fair).
Who Is This Street For?
Scored by profile based on what matters most to each group.
Decent connectivity, but some areas could be better.
Workable for families, but noisy/dense environment (35) may concern parents.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Decent connectivity, but some areas could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Moderate investment case — 1% growth, stable market. But environment limits appeal.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Good with limitations — safe, walkable. But environment (35) suggests noise or density, limited nearby services (30).
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Possible first step at £281,000 — price is manageable but connectivity (90) or environment (35) may be a compromise.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Kelcliffe Grove is located in Leeds, near Guiseley. Crime levels are below the local average (68 incidents in 12 months). Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Transport connections are strong, with rail and bus links nearby. The nearest stop (Moorland Avenue The Sycamores) is 37m away. The median property price is £281,000, with moderate growth of 1% over five years. Based on 8 transactions recorded since 2014. There are 5 schools within 2 km, 5 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 212m away. The profile suggests appeal to both young professionals and property investors. Overall, this street scores 61 out of 100 for liveability, placing it in the top 2% within its district.
Score Breakdown
Each dimension scored 0-100 from open government data. Source listed under each bar.
police.uk crime data (12-month rolling)
OpenStreetMap amenities within 2km
DfT NaPTAN + TfL stops
DEFRA noise & air quality, OS green space
HM Land Registry price paid data
GIAS schools + Ofsted ratings
OSM footpath density + connectivity
EPC Register — awaiting public API access
Environment Agency flood zones
Property Market
Terraced | Freehold | Market: stable
Based on 8 transactions. Moderate sample — prices may not fully represent current market value.
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
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Public Services Nearby
Public facilities within walking distance from Kelcliffe Grove, with detailed information for each.
gyms & sports centres (2)
- Karisma Health Studio 199m · 2 min walk
- PureGym 986m · 12 min walk
libraries (2)
- Guiseley library 488m · 6 min walk
- Guiseley Library 572m · 7 min walk
parks & green spaces (3)
- Parkinson's Park community Orchard 335m · 4 min walk
- Parkinson’s Park 436m · 6 min walk
- Springfield Park Community Orchard 524m · 7 min walk
schools (5)
- Guiseley Primary School 212m · 3 min walk
- St. Oswald's CofE Primary School 643m · 8 min walk
- Green Meadows Academy 832m · 10 min walk
- Guiseley School 963m · 12 min walk
- Yeadon Westfield Junior School 1472m · 18 min walk
Transport Links
Similar Streets
- Chepstow Close — Leeds61
- Long Meadow Court — Leeds61
- Burnham Road — Leeds61
- The Poplars — Leeds61
- Edwin Avenue — Leeds61
Data Transparency
View all data sources
- OS Open Roads — Crown copyright and database right
- HM Land Registry Price Paid Data — Crown copyright
- police.uk crime data — Open Government Licence v3.0
- OpenStreetMap — ODbL licence
- DfT NaPTAN — Open Government Licence v3.0
- GIAS schools data — Crown copyright
- Environment Agency flood data — OGL v3.0
- DEFRA noise and air quality — OGL v3.0
- ONS Census 2021 — Open Government Licence v3.0
All scores are computed from publicly available government and open data. No proprietary data is used. Scores reflect statistical patterns, not guarantees.