Miall Road
Birmingham, England
Reality check: At £256,000, this is a premium entry point. Strong 63% growth over 5 years supports the investment case.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Strong case: liquid market (score 70), 63% 5-year growth.
Workable for families, but noisy/dense environment (35) may concern parents.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 50, walkability 25). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: liquid market (score 70), 63% 5-year growth.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
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%
Price (£256,000) and connectivity (transport 50) both limit appeal for first-time buyers.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
Things You Should Know
Daily access score 16/100. Basic amenities like shops, GPs and post offices are not within easy walking distance.
How Life Works Here
Miall Road is located in Birmingham. Crime levels are below the local average (68 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 Hall Green, Sparkhill Foodbank (social facility, 151m). Public transport is accessible, with rail stops within reach. The nearest is about 665m away. The median property price is £256,000, with exceptional growth of 63% over five years. Based on 24 transactions recorded since 2014. Larger household sizes suggest a family-oriented community. There are 9 schools within 2 km, 9 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 469m away. This street may particularly suit property investors. Overall, this street scores 52 out of 100 for liveability, placing it in the top 6% within its district.
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: warm
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 Miall Road, with detailed information for each.
libraries (2)
- Hall Green Library 571m · 7 min walk
- Acocks Green Library 1666m · 21 min walk
parks & green spaces (4)
- Curtis Gardens 892m · 11 min walk
- Newey Goodman Park 1033m · 13 min walk
- The Shire Country Park 1158m · 14 min walk
- Fox Hollies Park 1162m · 14 min walk
schools (5)
- Hall Green Junior School 470m · 6 min walk
- Lakey Lane Primary School 477m · 6 min walk
- Hall Green Infant School 591m · 7 min walk
- Ninestiles, an Academy 827m · 10 min walk
- St Ambrose Barlow Catholic Primary School 990m · 12 min walk
Transport Links
Similar Streets
- Barbara Road — Birmingham51
- Oldknow Road — Birmingham53
- Beaumont Road — Birmingham53
- Woodleigh Road — Birmingham54
- Addenbrooke Drive — Birmingham54
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.