Qwletts Alley
Tonbridge and Malling, Kent, England
Reality check: This street has notable limitations across multiple dimensions. Best suited for young professionals (fair), least for investors (poor).
Who Is This Street For?
Scored by profile based on what matters most to each group.
Decent connectivity, but transport (20) could be better.
Safety score of 25 is the main barrier. School proximity doesn't compensate for high crime.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Decent connectivity, but transport (20) could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Market score 50, liquidity 10. Poor fundamentals — hard to sell, unlikely to grow.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Good with limitations — good daily access, walkable. But environment (35) suggests noise or density, car dependency reduces independence.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Possible first step — price and connectivity are acceptable but not outstanding.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
Things You Should Know
Safety score 25/100 — crime rates are well above average. Exercise caution, especially at night.
High flood risk. Specialist insurance likely required. Check Environment Agency flood maps before purchasing.
Transport score 20/100. Daily tasks likely require a car. Limited public transit options within walking distance.
Transport score 20/100 with no significant infrastructure planned. Car dependency limits property appeal and constrains future value growth.
How Life Works Here
Qwletts Alley is located in Tonbridge and Malling, near Tonbridge, Kent. Crime is a significant concern, with 521 incidents recorded in 12 months — well above the national average. Shoplifting dominates reports. 157 violent offences were recorded (30% of total). This level of crime reflects a high-footfall transit area rather than a typical residential street. Daily amenities are excellent, with 10 facilities within walking distance, including hairdresser (3), cafe (2), and fast_food (2). The nearest public transport is 45m away. A car is recommended for most journeys. Properties here change hands infrequently. The local area has a moderate population, with a high proportion of rented accommodation. There are 6 schools within 2 km, 6 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 500m away. However, high crime rates and a dense urban environment significantly undermine family suitability despite the school provision. This street falls within Flood Zone 3 — a high-risk area for flooding from river sources. Specialist flood insurance and any necessary mitigation should be factored into a purchase decision. The profile suggests appeal to both young professionals and retirees. Overall, this street scores 44 out of 100 for liveability. The low safety score is the dominant factor affecting liveability here.
Score Breakdown
Each dimension scored 0-100 from open government data. Hover or tap for data source.
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 certificates + estimated efficiency
Environment Agency flood zones
Nearby Amenities
Transport Links
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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.