Field Close
Waltham Forest, Greater London, England
Reality check: At £330,000, this is a premium entry point. Strong 37% 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), 37% 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%
Decent connectivity, but walkability (45) could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: liquid market (score 70), 37% 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%
At £330,000, affordability is the main stretch. Transport (90) and services (30) help.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Field Close is located in Waltham Forest, near Chingford, Greater London. Crime is around average for the area, with 80 incidents in the past year. The most commonly reported category is anti-social behaviour. 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 (Leonard Road) is 217m away. The median property price is £330,000, with strong growth of 37% over five years. Based on 19 transactions recorded since 2014. Rented accommodation predominates. There are 16 schools within 2 km, 16 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 424m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 60 out of 100 for liveability, above the district average.
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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Public Services Nearby
Public facilities within walking distance from Field Close, with detailed information for each.
hospitals (2)
- Highams Lodge 1118m · 14 min walk
- Waltham Forest Rehabilitation Services 1508m · 19 min walk
libraries (2)
- Hale End Library 1239m · 16 min walk
- Higham Hill Library 1431m · 18 min walk
parks & green spaces (4)
- Memorial Park 506m · 6 min walk
- Chase Lane Park 1027m · 13 min walk
- Kitchener Park 1091m · 14 min walk
- Aveling Fields 1468m · 18 min walk
schools (5)
- Ainslie Wood Primary School 425m · 5 min walk
- South Chingford Foundation School 540m · 7 min walk
- Selwyn Primary School 574m · 7 min walk
- Salisbury Manor Primary School 588m · 7 min walk
- Lime Academy Larkswood 898m · 11 min walk
Transport Links
Similar Streets
- Edward Avenue — Waltham Forest60
- Bourne Gardens — Waltham Forest60
- Cranworth Crescent — Waltham Forest61
- Inks Green — Waltham Forest61
- Ainslie Wood Road — Waltham Forest61
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.