Pengwern Road
Swansea, Abertawe - Swansea, Wales
Reality check: Significant weaknesses across safety, access, or environment. Approach with caution. Best suited for first-time buyers (fair), least for families (poor).
Who Is This Street For?
Scored by profile based on what matters most to each group.
Good entry point at £91,000, but safety (15) needs consideration and environment (35) is below average.
Safety (15), environment (35), and school access (10) are all weak. Not a family area.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 40, walkability 60). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Market data is decent (liquidity 50, market 55).
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Limited by safety (15), environment (35), service access (16). Not ideal for settled retirement.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Good entry point at £91,000, but safety (15) needs consideration and environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
Things You Should Know
Safety score 15/100 — crime rates are well above average. Exercise caution, especially at night.
Family score 10 and safety 15. School access or quality combined with safety concerns make this challenging for families.
Daily access score 16/100. Basic amenities like shops, GPs and post offices are not within easy walking distance.
How Life Works Here
Pengwern Road is located in Swansea, near Abertawe / Swansea, Abertawe - Swansea. Crime is a significant concern, with 383 incidents recorded in 12 months — well above the national average. Violence and sexual offences dominates reports. 231 violent offences were recorded (60% of total). This is a quieter, more car-dependent location. The nearest shops and services may require a short drive. The closest is Clase Social Club (pub, 89m). The nearest transport stop is 107m away (bus). Rail links may require a connecting journey. The median property price is £91,000, though prices have fallen 27% over five years. Based on 10 transactions recorded since 2014. Social housing makes up a significant share of properties. Some market indicators point to a cooling trend. Overall, this street scores 35 out of 100 for liveability, in the lower quartile for its district. The low safety score is the dominant factor affecting liveability here.
Score Breakdown
Each dimension scored 0-100 from open government data. Source listed under each bar.
police.uk crime data (12-month rolling)
OpenStreetMap amenities within 2km
DfT NaPTAN + TfL stops
DEFRA noise & air quality, OS green space
HM Land Registry price paid data
GIAS schools + Ofsted ratings
OSM footpath density + connectivity
EPC Register — awaiting public API access
Environment Agency flood zones
Property Market
Terraced | Freehold | Market: stable
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
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Nearby Amenities
Public Services Nearby
Public facilities within walking distance from Pengwern Road, with detailed information for each.
parks & green spaces (3)
- Knoyle Park 1005m · 13 min walk
- Morriston Park 1037m · 13 min walk
- Parc Llewellyn 1250m · 16 min walk
Transport Links
Similar Streets
- Bond Street — Swansea35
- Foundry Road — Swansea34
- Clos Pen y Banc — Swansea34
- Clos Llyn Cwm — Swansea34
- Clos yr Orsaf — Swansea35
Data Transparency
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.