Roman Court

Swansea, Abertawe - Swansea, Wales

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

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

Who Is This Street For?

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

Best fit: First-time BuyersFair

Good entry point at £198,000, but environment (35) is below average.

Families
Fair

Weak across environment (35), safety (60), or school access (40). Not ideal for children.

How this is calculated

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

Young Professionals
Fair

Decent connectivity, but transport (40) could be better.

How this is calculated

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

Investors
Fair

Market data is decent (liquidity 70, market 70).

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.

How this is calculated

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

First-time Buyers
Fair

Good entry point at £198,000, but environment (35) is below average.

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 6 data sources, 27 transactions

How Life Works Here

Roman Court is located in Swansea, near Abertawe / Swansea, Abertawe - Swansea. Crime levels are below the local average (46 incidents in 12 months). Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. The closest is Mumbai (restaurant, 73m). The nearest transport stop is 102m away (bus). Rail links may require a connecting journey. The median property price is £198,000. Based on 27 transactions recorded since 2014. The area has a notable retired population. 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 (60)

police.uk crime data (12-month rolling)

Daily Access Fair (48)

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 (70)

HM Land Registry price paid data

Family Below Average (40)

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

£198,000
Median Price
27
Transactions (2014–2025)
-0.2%
5-Year Price Trend

Flat/Maisonette | Leasehold | Market: warm

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

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Nearby Amenities

Mumbai73m (0.9 min walk)
atm171m (2.1 min walk)
Subway174m (2.2 min walk)

Public Services Nearby

Public facilities within walking distance from Roman Court, with detailed information for each.

gyms & sports centres (1)

libraries (1)

All libraries in Swansea →

parks & green spaces (1)

Transport Links

Blackpil Lido bus_stop102m
Post Office bus_stop122m
Clyne Drive bus_stop432m
Gwern Einon Road Lower bus_stop456m
Gwern Einon Road bus_stop472m

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.