Queens Road

North Yorkshire, England

Local high street 🚗 Local high street, car-reliant 🚗 Car + some transit Risk: Low 👪 Family-workable High confidence

Reality check: A balanced street with no standout strengths or critical weaknesses. Best suited for families (fair), least for investors (fair).

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) and transport (30) may concern parents.

👪 Families
Fair

Workable for families, but noisy/dense environment (35) and transport (30) may concern parents.

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
Fair

Market data is decent (liquidity 70, market 60). and weak transport (30) narrows demand.

How this is calculated

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

🌳 Retirees
Fair

Good with limitations — safe, good daily access, walkable. But environment (35) suggests noise or density, car dependency reduces independence.

How this is calculated

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

🔑 First-time Buyers
Fair

Possible first step at £202,500 — price is manageable but connectivity (30) or environment (35) may be a compromise.

How this is calculated

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

57
Liveability Score
Top 0% in North Yorkshire Top 0% nationally
High confidence Based on 6 data sources, 22 transactions

How Life Works Here

Queens Road is located in North Yorkshire, near Richmond. Crime levels are below the local average (68 incidents in 12 months). Daily amenities are excellent, with 5 facilities within walking distance, including cafe (2), childcare (1), and hospital (1). The nearest transport stop is 53m away (bus). Rail links may require a connecting journey. The median property price is £202,500, though prices have fallen 12% over five years. Based on 22 transactions recorded since 2014. Rented accommodation predominates, and a notable retired population. There are 3 schools within 2 km, 3 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The profile suggests appeal to both families and retirees. Overall, this street scores 57 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 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 Good (60)

HM Land Registry price paid data

Family Good (60)

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

Property Market

£202,500
Median Price
22
Transactions (2023–2025)
-11.6%
5-Year Price Trend

Flat/Maisonette | Leasehold | Market: warm

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

Nearby Amenities

Amontola 33m (0.4 min walk)
Alessandro's Sicilian 37m (0.5 min walk)
The Bread Bowl 40m (0.5 min walk)
Rooftops Nursery School 45m (0.6 min walk)
Friary Community Hospital 122m (1.5 min walk)

Transport Links

Queens Road bus_stop 53m
Friary Gardens bus_stop 55m

Similar Streets

Data Transparency

6 open data sources
80% 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.