Kingston Way

North Somerset, England

Residential 🏘 Mixed character 🚗 Car + some transit Risk: Low 🚀 Growth pocket Medium confidence

Reality check: At £420,000, this is a premium entry point. Strong 26% growth over 5 years supports the investment case.

Who Is This Street For?

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

📈
Best fit: Investors Good

Strong case: 26% 5-year growth.

👪 Families
Fair

Weak across environment (35), safety (60), or school access (55). Not ideal for children.

How this is calculated

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

💼 Young Professionals
Fair

Limited connectivity (transport 40, walkability 60). May not suit a commuting lifestyle.

How this is calculated

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

📈 Investors
Good

Strong case: 26% 5-year growth.

How this is calculated

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

🌳 Retirees
Fair

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%

🔑 First-time Buyers
Below Average

At £420,000, this is likely out of reach for most first-time buyers.

How this is calculated

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

52
Liveability Score
Top 17% in North Somerset Top 28% nationally
Medium confidence Based on 5 data sources, 5 transactions

How Life Works Here

Kingston Way is located in North Somerset, near Nailsea. Crime levels are below the local average (60 incidents in 12 months). Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. The nearest transport stop is 149m away (bus). Rail links may require a connecting journey. The median property price is £420,000, with strong growth of 26% over five years. Based on 5 transactions recorded since 2014. Rented accommodation predominates. There are 4 schools within 2 km, 4 rated Good or Outstanding by Ofsted. Primary schools are nearby, though secondary options may require travel. The nearest school is just 417m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 52 out of 100 for liveability, placing it in the top 17% 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 Below Average (40)

DfT NaPTAN + TfL stops

Environment Below Average (35)

DEFRA noise & air quality, OS green space

Market Value Excellent (75)

HM Land Registry price paid data

Family Fair (55)

GIAS schools + Ofsted ratings

Walkability Good (60)

OSM footpath density + connectivity

Energy Data pending

EPC Register — awaiting public API access

Flood Risk Excellent (90)

Environment Agency flood zones

Property Market

£420,000
Median Price
5
Transactions (2018–2024)
+26.1%
5-Year Price Trend

Detached | Freehold | Market: stable

Based on 5 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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Transport Links

The Maples bus_stop 149m
Union Street bus_stop 263m
Trinity Road bus_stop 306m
Hannah More Road bus_stop 307m
St Marys Grove bus_stop 309m

Similar Streets

Data Transparency

5 open data sources
62% 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.