Maple Avenue
Sunderland, England
Reality check: Affordable entry at £140,000 with warm market liquidity. Modest 4% growth over 5 years.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Moderate investment case — reasonable liquidity, 4% growth, stable market. But environment limits appeal.
Weak across environment (35), safety (40), or school access (70). Not ideal for children.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 40, walkability 45). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Moderate investment case — reasonable liquidity, 4% growth, stable market. But environment limits appeal.
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 £140,000, but safety (40) needs consideration and environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Maple Avenue is located in Sunderland. Crime is around average for the area, with 182 incidents in the past year. The most commonly reported category is shoplifting. Violent offences account for 36% of reported crimes. Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. The nearest transport stop is 215m away (bus). Rail links may require a connecting journey. The median property price is £140,000, with moderate growth of 4% over five years. Based on 20 transactions recorded since 2014. Rented accommodation predominates. There are 6 schools within 2 km, 6 rated Good or Outstanding by Ofsted. Primary schools are nearby, though secondary options may require travel. The nearest school is just 389m away. The profile suggests appeal to both property investors and first-time buyers. Overall, this street scores 50 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
Semi-Detached | Freehold | Market: warm
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 Maple Avenue, with detailed information for each.
hospitals (2)
- Sunderland Eye Infirmary 1795m · 22 min walk
- Hopewood Park Hospital 1973m · 25 min walk
parks & green spaces (3)
- Silksworth Park 477m · 6 min walk
- Tunstall Hills Local Nature Reserve 1101m · 14 min walk
- Doxford Park 1753m · 22 min walk
schools (5)
- St Leonard's Catholic Primary School, Silksworth 390m · 5 min walk
- New Silksworth Academy Infant 436m · 6 min walk
- New Silksworth Academy Junior 436m · 6 min walk
- Mill Hill Nursery School 1207m · 15 min walk
- Mill Hill Primary School 1207m · 15 min walk
Transport Links
Similar Streets
- Belton Close — Sunderland50
- Burghley Close — Sunderland50
- Park Avenue — Sunderland50
- Rockingham Drive — Sunderland50
- Hilltop Gardens — Sunderland50
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.