Cilonnen Road

Swansea, Abertawe - Swansea, Wales

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

Reality check: At £375,000, this is a premium entry point. Strong 40% 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: InvestorsExcellent

Strong case: liquid market (score 70), 40% 5-year growth.

Families
Below Average

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
Below Average

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
Excellent

Strong case: liquid market (score 70), 40% 5-year growth.

How this is calculated

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

Retirees
Below Average

Limited by environment (35), service access (16). Not ideal for settled retirement.

How this is calculated

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

First-time Buyers
Below Average

At £375,000, this is likely out of reach for most first-time buyers.

How this is calculated

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

48
Liveability Score
Top 42% in SwanseaTop 53% nationally
High confidence Based on 6 data sources, 17 transactions

Things You Should Know

Limited daily services

Daily access score 16/100. Basic amenities like shops, GPs and post offices are not within easy walking distance.

How Life Works Here

Cilonnen Road is located in Swansea, near Three Crosses, Abertawe - Swansea. Crime levels are below the local average (53 incidents in 12 months). This is a quieter, more car-dependent location. The nearest shops and services may require a short drive. The closest is Three Crosses Post Office (post office, 88m). The nearest transport stop is 82m away (bus). Rail links may require a connecting journey. The median property price is £375,000, with strong growth of 40% over five years. Based on 17 transactions recorded since 2014. This street may particularly suit property investors. Some market indicators point to a cooling trend. Overall, this street scores 48 out of 100 for liveability.

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 Poor (16)

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

£375,000
Median Price
17
Transactions (2015–2025)
+40.0%
5-Year Price Trend

Semi-Detached | Freehold | Market: warm

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

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Nearby Amenities

Three Crosses Post Office88m (1.1 min walk)

Transport Links

Pant Y Dwr bus_stop82m
Brynymor bus_stop132m
Poundffald Turn bus_stop270m
Joiners Road bus_stop281m
Tirmynydd Farm bus_stop301m

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.