Lea Lane

Fylde, Lancashire, England

Local high street 🚗 Local high street, car-reliant 🚗 Car + some transit Risk: Medium Medium confidence

Reality check: This street has notable limitations across multiple dimensions. Best suited for young professionals (fair), least for investors (poor).

Who Is This Street For?

Scored by profile based on what matters most to each group.

💼
Best fit: Young Professionals Fair

Decent connectivity, but transport (30) could be better.

👪 Families
Poor

Safety (15), environment (35), and school access (10) are all weak. Not a family area.

How this is calculated

Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%

💼 Young Professionals
Fair

Decent connectivity, but transport (30) could be better.

How this is calculated

Transport 35%, Walkability 30%, Amenities 25%, Market 10%

📈 Investors
Poor

Market score 50, liquidity 10. Poor fundamentals — hard to sell, unlikely to grow.

How this is calculated

Liquidity 35%, Market 35%, Price trend bonus up to +30

🌳 Retirees
Below Average

Limited by safety (15), environment (35). Not ideal for settled retirement.

How this is calculated

Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%

🔑 First-time Buyers
Below Average

Price (£0) and connectivity (transport 30) both limit appeal for first-time buyers.

How this is calculated

Affordability 40%, Transport 25%, Amenities 20%, Safety 15%

42
Liveability Score
Top 65% in Fylde Top 66% nationally
Medium confidence Based on 5 data sources

Things You Should Know

🚨
High Crime Area

Safety score 15/100 — crime rates are well above average. Exercise caution, especially at night.

👪
Weak family fundamentals

Family score 10 and safety 15. School access or quality combined with safety concerns make this challenging for families.

How Life Works Here

Lea Lane is located in Fylde, near Cottam, Lancashire. Crime is a significant concern, with 336 incidents recorded in 12 months — well above the national average. Violence and sexual offences dominates reports. 148 violent offences were recorded (44% of total). Daily amenities are excellent, with 5 facilities within walking distance, including fast_food (2), atm (1), and convenience (1). The nearest transport stop is 286m away (bus). Rail links may require a connecting journey. Properties here change hands infrequently. The local area has a moderate population. Overall, this street scores 42 out of 100 for liveability, slightly below the district average. The low safety score is the dominant factor affecting liveability here.

Nearby Services (5 km)

Score Breakdown

Each dimension scored 0-100 from open government data. Hover or tap for data source.

Safety Poor (15)

police.uk crime data (12-month rolling)

Daily Access Excellent (75)

OpenStreetMap amenities within 2km

Transport Below Average (30)

DfT NaPTAN + TfL stops

Environment Below Average (35)

DEFRA noise & air quality, OS green space

Market Value Fair (50)

HM Land Registry price paid data

Family Poor (10)

GIAS schools + Ofsted ratings

Walkability Good (60)

OSM footpath density + connectivity

Energy Fair (50)

EPC certificates + estimated efficiency

Flood Risk Excellent (90)

Environment Agency flood zones

Nearby Amenities

Subway 152m (1.9 min walk)
Greggs 157m (2 min walk)
Spar 163m (2 min walk)
atm 163m (2 min walk)
The Sitting Goose 286m (3.6 min walk)

Transport Links

Sitting Goose bus_stop 286m
Saddle Inn Services bus_stop 384m

Similar Streets

Data Transparency

5 open data sources
57% data uniqueness
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.