Old Wickham Lane
Mid Sussex, West Sussex, England
Reality check: At £1,237,500, this is a premium entry point. Strong 53% 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: 53% 5-year growth.
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 walkability (45) could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: 53% 5-year growth.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Limited by environment (35), service access (30). Not ideal for settled retirement.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
At £1,237,500, this is likely out of reach for most first-time buyers.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Old Wickham Lane is located in Mid Sussex, near Haywards Heath, West Sussex. Crime is around average for the area, with 115 incidents in the past year. The most commonly reported category is violence and sexual offences. Violent offences account for 38% of reported crimes. 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 (The Spinney) is 395m away. The median property price is £1,237,500, with exceptional growth of 53% over five years. Based on 8 transactions recorded since 2014. Rented accommodation predominates. 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 315m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 59 out of 100 for liveability, placing it in the top 10% 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
Detached | 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 Old Wickham Lane, with detailed information for each.
gyms & sports centres (5)
- The Dolphin 880m · 11 min walk
- Maddisons 1001m · 12 min walk
- Maddisons 1022m · 13 min walk
- Madisons Fitness (Recption & Shop) 1061m · 13 min walk
- Switch Gym 1125m · 14 min walk
parks & green spaces (3)
- Sunte Park 388m · 5 min walk
- Borde Hill 1073m · 13 min walk
- Victoria Park 1735m · 22 min walk
schools (5)
- Harlands Primary School 316m · 4 min walk
- Oathall Community College 1156m · 14 min walk
- Blackthorns Community Primary Academy 1297m · 16 min walk
- Warden Park Primary Academy 1565m · 20 min walk
- St Joseph's Catholic Primary School 1737m · 22 min walk
Transport Links
Similar Streets
- Churchill Way — Mid Sussex59
- Inholmes Park Road — Mid Sussex59
- Knight Close — Mid Sussex58
- Chantlers Close — Mid Sussex58
- Butlers Way — Mid Sussex59
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: