Monks Wood
North Tyneside, England
Reality check: At £230,000, this is a premium entry point. Strong 32% 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), 32% 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 40, 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), 32% 5-year growth.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
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%
Possible first step at £230,000 — price is manageable but connectivity (40) or environment (35) may be a compromise.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Monks Wood is located in North Tyneside, near Tynemouth. Crime is around average for the area, with 103 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. The nearest transport stop is 144m away (bus). Rail links may require a connecting journey. The median property price is £230,000, with strong growth of 32% over five years. Based on 81 transactions recorded since 2014. The market is highly active with frequent sales. There are 15 schools within 2 km, 11 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 260m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 52 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 | 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 Monks Wood, with detailed information for each.
gyms & sports centres (2)
- Tynemouth Swimming Pool 565m · 7 min walk
- Tynemouth Squash Club 897m · 11 min walk
hospitals (2)
- North Tyneside General Hospital 800m · 10 min walk
- The Coast Clinic 1332m · 17 min walk
libraries (1)
- North Shields Customer First Centre 1465m · 18 min walk
parks & green spaces (1)
- Northumberland Park 1888m · 24 min walk
schools (5)
- Whitehouse Primary School 261m · 3 min walk
- John Spence Community High School 811m · 10 min walk
- Preston Grange Primary School 850m · 11 min walk
- Spring Gardens Primary School 1050m · 13 min walk
- Collingwood Primary School 1328m · 17 min walk
Transport Links
Similar Streets
- Boscombe Drive — North Tyneside52
- Gorsedene Road — North Tyneside52
- Gerrard Road — North Tyneside52
- The Links — North Tyneside52
- Broadstone Way — North Tyneside53
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: