Lancaster Avenue
Dover, Kent, England
Reality check: At £290,000, this is a premium entry point. Strong 66% growth over 5 years supports the investment case. However, car dependency limits the tenant pool and long-term upside.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Strong case: 66% 5-year growth. But transport (20) may limit tenant pool.
Weak across environment (35), safety (55), or school access (50). Not ideal for children.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Poor transport (20) and walkability (25). This is not a convenient base for work.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: 66% 5-year growth. But transport (20) may limit tenant pool.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Safe area, but extreme car dependency (transport 20) limits independence for retirees.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Price (£290,000) and connectivity (transport 20) both limit appeal for first-time buyers.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
Things You Should Know
Transport score 20/100. Daily tasks likely require a car. Limited public transit options within walking distance.
Low walkability (25) and transport (20) narrow the pool of potential renters. Consider whether the yield justifies the risk.
Environment score 35/100 is low for a location with limited urban amenities. Nearby road noise, industrial activity, or air quality issues may affect quality of life.
Transport score 20/100 with no significant infrastructure planned. Car dependency limits property appeal and constrains future value growth.
How Life Works Here
Lancaster Avenue is located in Dover, near Capel-le-Ferne, Kent. Crime is around average for the area, with 128 incidents in the past year. The most commonly reported category is violence and sexual offences. Violent offences account for 39% of reported crimes. Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Public transport options are limited. A car is recommended for commuting and longer journeys. The median property price is £290,000, with exceptional growth of 66% over five years. Based on 9 transactions recorded since 2014. The local area has a moderate population, and a notable retired population. There are 1 schools within 2 km. Primary schools are nearby, though secondary options may require travel. The nearest school is just 285m away. This street may particularly suit property investors. Some market indicators point to a cooling trend. Overall, this street scores 45 out of 100 for liveability, above the district average.
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
Property Market
Detached | Freehold | Market: stable
Based on 9 transactions. Moderate sample — prices may not fully represent current market value.
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
Similar Streets
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Green Lane — Dover45
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Beatrice Road — Dover45
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Old Dover Road — Dover45
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Matthews Close — Dover46
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Albert Road — Dover46
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.