Park Lea Road

Sunderland, England

Residential 🏘 Mixed character 🚌 Well-connected Risk: Low 🔑 Starter home High confidence

Reality check: At £168,000, this is accessible for first-time buyers. Good transport links add convenience.

Who Is This Street For?

Scored by profile based on what matters most to each group.

🔑
Best fit: First-time Buyers Good

Good entry point at £168,000, but environment (35) is below average.

👪 Families
Fair

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%

💼 Young Professionals
Good

Decent connectivity, but walkability (45) could be better.

How this is calculated

Transport 35%, Walkability 30%, Amenities 25%, Market 10%

📈 Investors
Below Average

Market data is decent (liquidity 50, market 60). but no clear growth trend limits upside.

How this is calculated

Liquidity 35%, Market 35%, Price trend bonus up to +30

🌳 Retirees
Below Average

Limited by environment (35), service access (30). Not ideal for settled retirement.

How this is calculated

Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%

🔑 First-time Buyers
Good

Good entry point at £168,000, but environment (35) is below average.

How this is calculated

Affordability 40%, Transport 25%, Amenities 20%, Safety 15%

61
Liveability Score
Top 4% in Sunderland Top 4% nationally
High confidence Based on 5 data sources, 10 transactions

How Life Works Here

Park Lea Road is located in Sunderland. Crime levels are below the local average (57 incidents in 12 months). Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Transport connections are strong, with rail and bus links nearby. The nearest stop (Roker Park Road-North Grove) is 168m away. The median property price is £168,000. Based on 10 transactions recorded since 2014. There are 8 schools within 2 km, 8 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 424m away. The profile suggests appeal to both first-time buyers and young professionals. Overall, this street scores 61 out of 100 for liveability, placing it in the top 4% within its district.

Nearby Services (5 km)

Score Breakdown

Each dimension scored 0-100 from open government data. Hover or tap for data source.

Safety Good (60)

police.uk crime data (12-month rolling)

Daily Access Below Average (30)

OpenStreetMap amenities within 2km

Transport Excellent (100)

DfT NaPTAN + TfL stops

Environment Below Average (35)

DEFRA noise & air quality, OS green space

Market Value Good (60)

HM Land Registry price paid data

Family Excellent (75)

GIAS schools + Ofsted ratings

Walkability Fair (45)

OSM footpath density + connectivity

Energy Data pending

EPC Register — awaiting public API access

Flood Risk Excellent (90)

Environment Agency flood zones

Property Market

£168,000
Median Price
10
Transactions (2014–2023)

Semi-Detached | Leasehold | Market: stable

Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)

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Transport Links

Roker Park Road-North Grove bus_stop 168m
Roker Park bus_stop 254m
Roker Baths Road - Lonsdale Road bus_stop 264m
Roker Park Road-Side Cliff Road bus_stop 285m
Stadium Of Light (Tyne and Wear Metro Station) metro_station 905m
Stadium Of Light (Tyne and Wear Metro Station) rail_station 909m
Seaburn (Tyne and Wear Metro Station) metro_station 1044m
Seaburn Rail Station rail_station 1075m

Similar Streets

Data Transparency

5 open data sources
68% data uniqueness
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.