Queens Road

Swansea, Abertawe - Swansea, Wales

Residential Mixed character Car + some transport Risk: Low Moderate investment High confidence

Reality check: At £335,000, this is a premium entry point. Modest 4% growth over 5 years.

Who Is This Street For?

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

Best fit: InvestorsExcellent

Strong case: liquid market (score 90).

Families
Fair

Weak across environment (35), safety (70), or school access (40). Not ideal for children.

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
Excellent

Strong case: liquid market (score 90).

How this is calculated

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

Retirees
Fair

Good with limitations — safe. 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

Price (£335,000) and connectivity (transport 40) both limit appeal for first-time buyers.

How this is calculated

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

53
Liveability Score
Top 8% in SwanseaTop 24% nationally
High confidence Based on 5 data sources, 49 transactions

How Life Works Here

Queens Road is located in Swansea, near Abertawe / Swansea, Abertawe - Swansea. Crime levels are below the local average (44 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. The nearest transport stop is 188m away (bus). Rail links may require a connecting journey. The median property price is £335,000, with moderate growth of 4% over five years. Based on 49 transactions recorded since 2014. The market is highly active with frequent sales. This street may particularly suit property investors. Some market indicators point to a cooling trend. Overall, this street scores 53 out of 100 for liveability, placing it in the top 8% within its district.

Nearby Services (5 km)

Score Breakdown

Each dimension scored 0-100 from open government data. Source listed under each bar.

Safety Good (70)

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 (85)

HM Land Registry price paid data

Family Below Average (40)

GIAS schools + Ofsted ratings

Walkability Fair (45)

OSM footpath density + connectivity

Energy Data pending

EPC Register — awaiting public API access

Flood Risk Excellent (90)

Environment Agency flood zones

Property Market

£335,000
Median Price
49
Transactions (2014–2026)
+4.2%
5-Year Price Trend

Semi-Detached | Freehold | Market: hot

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

See properties available on this street

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Public Services Nearby

Public facilities within walking distance from Queens Road, with detailed information for each.

gyms & sports centres (1)

libraries (1)

All libraries in Swansea →

parks & green spaces (5)

Transport Links

Sketty Cross bus_stop188m
Parc Beck bus_stop229m
Sketty Library bus_stop276m
Runnymede bus_stop280m

Similar Streets

Data Transparency

5 open data sources
68% 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.