Oldeamere Way

Fenland, Cambridgeshire, England

Residential 🏘 Mixed character 🚌 Well-connected Risk: Low 🚀 Growth pocket Medium confidence

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

Who Is This Street For?

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

📈
Best fit: Investors Good

Moderate investment case — 63% growth, stable market. But environment limits appeal, slow market turnover.

👪 Families
Fair

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%

💼 Young Professionals
Below Average

Limited connectivity (transport 50, walkability 25). May not suit a commuting lifestyle.

How this is calculated

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

📈 Investors
Good

Moderate investment case — 63% growth, stable market. But environment limits appeal, slow market turnover.

How this is calculated

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

🌳 Retirees
Below Average

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%

🔑 First-time Buyers
Below Average

Price (£300,000) and connectivity (transport 50) both limit appeal for first-time buyers.

How this is calculated

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

52
Liveability Score
Top 1% in Fenland Top 27% nationally
Medium confidence Based on 5 data sources, 3 transactions

How Life Works Here

Oldeamere Way is located in Fenland, near Whittlesey, Cambridgeshire. Crime levels are below the local average (76 incidents in 12 months). No burglaries were recorded in the latest period. Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Public transport is accessible, with rail stops within reach. The nearest is about 748m away. The median property price is £300,000, with exceptional growth of 63% over five years. Based on 3 transactions recorded since 2014. There are 3 schools within 2 km, 3 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 473m away. The profile suggests appeal to both property investors and families. Overall, this street scores 52 out of 100 for liveability, placing it in the top 1% within its district.

Nearby Services (5 km)

Score Breakdown

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

Safety Good (60)

police.uk crime data (12-month rolling)

Daily Access Below Average (30)

OpenStreetMap amenities within 2km

Transport Fair (50)

DfT NaPTAN + TfL stops

Environment Below Average (35)

DEFRA noise & air quality, OS green space

Market Value Good (60)

HM Land Registry price paid data

Family Good (65)

GIAS schools + Ofsted ratings

Walkability Poor (25)

OSM footpath density + connectivity

Energy Data pending

EPC Register — awaiting public API access

Flood Risk Excellent (90)

Environment Agency flood zones

Property Market

£300,000
Median Price
3
Transactions (2015–2024)
+63.4%
5-Year Price Trend

Detached | Freehold | Market: cooling

⚠ Based on only 3 transactions. Market data has low statistical confidence for this street.

Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)

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Transport Links

Whittlesea Rail Station rail_station 748m

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.