Court Gardens

Somerset, England

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

Reality check: This street has notable limitations across multiple dimensions. Best suited for families (fair), least for first-time buyers (poor).

Who Is This Street For?

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

👪
Best fit: Families Fair

Workable for families, but noisy/dense environment (35) may concern parents.

👪 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 40, walkability 45). May not suit a commuting lifestyle.

How this is calculated

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

📈 Investors
Below Average

Market data is decent (liquidity 50, market 60).

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
Poor

Out of reach (£520,000) or poorly connected (transport 40). Not viable as a first purchase.

How this is calculated

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

51
Liveability Score
Top 0% in Somerset Top 4% nationally
Medium confidence Based on 5 data sources, 9 transactions

Things You Should Know

⚠️
Price anomaly

Median price £520,000 based on only 9 transactions. This may not reflect typical local housing — a few high-value sales can skew the median significantly.

How Life Works Here

Court Gardens is located in Somerset, near Yeovil. Crime levels are below the local average (58 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 116m away (bus). Rail links may require a connecting journey. The median property price is £520,000, with a slight decline of 10% over five years. Based on 9 transactions recorded since 2014. There are 4 schools within 2 km, 4 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. Market indicators suggest an upward trend. Overall, this street scores 51 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 Below Average (40)

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 Fair (45)

OSM footpath density + connectivity

Energy Fair (50)

EPC certificates + estimated efficiency

Flood Risk Excellent (90)

Environment Agency flood zones

Property Market

£520,000
Median Price
9
Transactions (2021–2025)
-9.7%
5-Year Price Trend

Detached | Freehold | Market: stable

Based on 9 transactions. Moderate sample — prices may not fully represent current market value.

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

Transport Links

Court Gardens bus_stop 116m
Opposite Brimsmore Nursey bus_stop 188m
Brimsmore Nursey bus_stop 188m

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.