Margaret Street
Merthyr Tydfil, Merthyr Tudful - Merthyr Tydfil, Wales
Reality check: May work as a first purchase, but price data is limited. Good transport links add convenience. Price data (£35,500) is based on only 1 transaction and may not be reliable.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Good entry point at £35,500, but safety (40) needs consideration and environment (35) is below average.
Weak across environment (35), safety (40), or school access (40). Not ideal for children.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 50, walkability 45). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Market score 50, liquidity 30. Poor fundamentals — hard to sell, unlikely to grow.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Limited by safety (40), environment (35), service access (30). Not ideal for settled retirement.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Good entry point at £35,500, but safety (40) needs consideration and environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
Things You Should Know
Only 1 transaction recorded. The £35,500 median is not statistically reliable and may reflect unusual sales.
How Life Works Here
Margaret Street is located in Merthyr Tydfil, near Merthyr Tydfil / Merthyr Tudful, Merthyr Tudful - Merthyr Tydfil. Crime is around average for the area, with 177 incidents in the past year. The most commonly reported category is shoplifting. Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Public transport is accessible, with rail and bus stops within reach. The nearest is about 167m away. The median property price is £35,500. Based on 1 transaction recorded since 2014. The data suggests this area could appeal to first-time buyers. Overall, this street scores 45 out of 100 for liveability.
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: cooling
⚠ Based on only 1 transaction. Market data has low statistical confidence for this street.
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
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Public Services Nearby
Public facilities within walking distance from Margaret Street, with detailed information for each.
gyms & sports centres (2)
- Merthyr Tydfil Indoor Bowls Club 1519m · 19 min walk
- Merthyr Tydfil Leisure Centre 1648m · 21 min walk
hospitals (1)
- Prince Charles Hospital / Ysbyty'r Tywysog Siarl 1127m · 14 min walk
parks & green spaces (5)
- Cyfarthfa Park 431m · 5 min walk
- Holocaust Remembrance Garden 875m · 11 min walk
- Old Thomastown Park 927m · 12 min walk
- Thomastown Park 1187m · 15 min walk
- Cwm Taf Fechan Nature Reserve 1895m · 24 min walk
Transport Links
Similar Streets
- Gwaelodygarth Road — Merthyr Tydfil45
- Miles Street — Merthyr Tydfil45
- Talbot Square — Merthyr Tydfil46
- St John's Grove — Merthyr Tydfil46
- Horeb Close — Merthyr Tydfil46
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.