Victoria Dock Road

Newham, Greater London, England

Transit hub 🏙 Busy, high footfall 🚇 Transit-oriented Risk: High 🚇 Transit location High confidence

Reality check: This is a transit node, not a neighbourhood. It works for professionals who prioritise location above all else. Not suitable for settled living.

Who Is This Street For?

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

💼
Best fit: Young Professionals Excellent

Transport (100) and walkability (90) are strong. with excellent local amenities. Good for commuting and social life.

👪 Families
Not Recommended

Transit hub — not suited for settled living. High footfall, noise, and crime make this unsuitable regardless of nearby schools or services.

How this is calculated

Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%

💼 Young Professionals
Excellent

Transport (100) and walkability (90) are strong. with excellent local amenities. Good for commuting and social life.

How this is calculated

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

📈 Investors
Below Average

Market data is decent (liquidity 50, market 65).

How this is calculated

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

🌳 Retirees
Not Recommended

Transit hub — not suited for settled living. High footfall, noise, and crime make this unsuitable regardless of nearby schools or services.

How this is calculated

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

🔑 First-time Buyers
Fair

At £402,500, affordability is the main stretch. Transport (100) and services (81) help.

How this is calculated

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

43
Liveability

How suitable for settled living

58
Functionality

Access, transport, services

This is a major transit hub, not a residential neighbourhood. The functionality score reflects excellent access and transport, but the liveability score reflects the reality of settled living here.

Things You Should Know

🚨
High Crime Area

Safety score 25/100 — crime rates are well above average. Exercise caution, especially at night.

🌊
Flood Zone 3

High flood risk. Specialist insurance likely required. Check Environment Agency flood maps before purchasing.

🌊
Flood risk impacts value

Flood risk score 20/100. Specialist insurance required. This significantly affects resale value and mortgage options.

How Life Works Here

Victoria Dock Road is located in Newham, near London, Greater London. Crime is a significant concern, with 525 incidents recorded in 12 months — well above the national average. Violence and sexual offences dominates reports. This level of crime reflects a high-footfall transit area rather than a typical residential street. Daily amenities are excellent, with 13 facilities within walking distance, including restaurant (5), cafe (3), and bar (2). Transport connections are strong, with rail and bus and tram links nearby. The nearest stop (Leslie Road / Custom House Station) is 30m away. The median property price is £402,500, with a slight decline of 8% over five years. Based on 14 transactions recorded since 2014. The local area has a moderate population, with a high proportion of rented accommodation. This is not a family-friendly location. Despite schools being within 2 km, the high crime, noise and transit-oriented environment make it unsuitable for raising children. This street falls within Flood Zone 3 — a high-risk area for flooding from river and sea sources. Specialist flood insurance and any necessary mitigation should be factored into a purchase decision. This street may particularly suit young professionals. This is a transit hub, not a residential neighbourhood. Functionality scores 58/100 (excellent access and transport), but liveability scores only 43/100. The extreme footfall, crime, and urban intensity make it unsuitable for settled living. It may work for short-term rentals, corporate lets, or professionals who prioritise location above all else — but for most people looking for a home, this is not the right street.

Nearby Services (5 km)

Score Breakdown

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

Safety Poor (25)

police.uk crime data (12-month rolling)

Daily Access Excellent (81)

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 (65)

HM Land Registry price paid data

Family Fair (55)

GIAS schools + Ofsted ratings

Walkability Excellent (90)

OSM footpath density + connectivity

Energy Fair (50)

EPC certificates + estimated efficiency

Flood Risk Poor (20)

Environment Agency flood zones

Property Market

£402,500
Median Price
14
Transactions (2015–2025)
-7.5%
5-Year Price Trend

Flat/Maisonette | Leasehold | Market: stable

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

Nearby Amenities

Golden Sand 43m (0.5 min walk)
Starbucks Excel 98m (1.2 min walk)
La Barrique 117m (1.5 min walk)
Tapa Tapa 122m (1.5 min walk)
Fox @ Excel 133m (1.7 min walk)
ZeroSette 150m (1.9 min walk)
Med Grill 163m (2 min walk)
China Palace 177m (2.2 min walk)
Delice de france 187m (2.3 min walk)
The Pyramid 199m (2.5 min walk)

Transport Links

Leslie Road / Custom House Station bus_stop 30m
Custom House (for ExCel) DLR Station metro_station 41m
Custom House (for ExCel) DLR Station rail_station 57m
Custom House Station bus_stop 71m
Custom House Station tram_stop 129m
NHS Nightingale bus_stop 159m

Similar Streets

Data Transparency

6 open data sources
80% 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.