Belford Close
Sunderland, England
Reality check: Affordable entry at £128,975 with hot market liquidity. Strong 223% 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 90), 223% 5-year growth, affordable entry (£128,975).
Workable for families, but safety (45) may concern parents.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 60, walkability 45). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: liquid market (score 90), 223% 5-year growth, affordable entry (£128,975).
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Acceptable. But limited nearby services (30).
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Good entry point at £128,975.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Belford Close is located in Sunderland. Crime is around average for the area, with 136 incidents in the past year. The most commonly reported category is violence and sexual offences. Violent offences account for 52% of reported crimes. 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 187m away. The median property price is £128,975, with exceptional growth of 223% over five years. Based on 34 transactions recorded since 2014. The market is highly active with frequent sales. The area has a notable retired population. 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 184m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 56 out of 100 for liveability, placing it in the top 20% 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), LSOA-level area, not street-level
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
Flat/Maisonette | Leasehold | Market: hot
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 Belford Close, with detailed information for each.
libraries (2)
- City 1556m · 19 min walk
- The Murray Library 1586m · 20 min walk
parks & green spaces (5)
- Backhouse Park 312m · 4 min walk
- Barley Mow Park 323m · 4 min walk
- Jack Crawford 797m · 10 min walk
- Raich Carter 994m · 12 min walk
- Mowbray Park 1265m · 16 min walk
schools (5)
- Southmoor Academy 184m · 2 min walk
- Hill View Junior Academy 408m · 5 min walk
- Valley Road Academy 652m · 8 min walk
- Hill View Infant Academy 804m · 10 min walk
- Grangetown Primary School 814m · 10 min walk
Transport Links
Similar Streets
- Halesworth Drive — Sunderland57
- Hemsby Close — Sunderland56
- Glen Path — Sunderland57
- Nilverton Avenue — Sunderland57
- Haydon Square — Sunderland55
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.
Data updated: