Neal Close
Hillingdon, Greater London, England
Reality check: Affordable entry at £125,000 with warm market liquidity. Strong 12% growth over 5 years supports the investment case.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Strong case: liquid market (score 70), 12% 5-year growth, affordable entry (£125,000).
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%
Strong case: liquid market (score 70), 12% 5-year growth, affordable entry (£125,000).
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Good with limitations — 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%
Good entry point at £125,000, but environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Neal Close is located in Hillingdon, near Ruislip, Greater London. Crime is around average for the area, with 85 incidents in the past year. The most commonly reported category is violence and sexual offences. 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 and tram links nearby. The nearest stop (Waverley Gardens/Northwood Way) is 142m away. The median property price is £125,000, with moderate growth of 12% over five years. Based on 29 transactions recorded since 2014. Rented accommodation predominates. There are 7 schools within 2 km, 7 rated Good or Outstanding by Ofsted. 2 are rated Outstanding. Both primary and secondary options are available locally. The nearest school is just 313m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 64 out of 100 for liveability, placing it in the top 4% 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
Flat/Maisonette | Leasehold | Market: warm
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 Neal Close, with detailed information for each.
gyms & sports centres (2)
- Fit Club 504m · 6 min walk
- Trojan Fitness 624m · 8 min walk
libraries (2)
- Northwood Hills Library 354m · 4 min walk
- Northwood Library 388m · 5 min walk
parks & green spaces (4)
- Hog's Back Open Space 247m · 3 min walk
- Frithwood Park 1147m · 14 min walk
- Raisins Hill Open Space 1538m · 19 min walk
- Haydon Hall Park 1873m · 23 min walk
schools (5)
- Hillside Infant School 313m · 4 min walk
- UTC Heathrow 428m · 5 min walk
- Northwood School 495m · 6 min walk
- Frithwood Primary School 1060m · 13 min walk
- Haydon School 1125m · 14 min walk
Transport Links
Similar Streets
- Long Drive — Hillingdon64
- Angus Drive — Hillingdon64
- Sunnydene Avenue — Hillingdon64
- Tudor Way — Hillingdon64
- Cavendish Avenue — Hillingdon64
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.
Data updated: