Queens Reach
Elmbridge, Surrey, England
Reality check: At £629,000, this is a premium entry point. Strong 10% 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: liquid market (score 90), 10% 5-year growth. But transport (20) may limit tenant pool.
Safety score of 30 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%
Limited connectivity (transport 20, walkability 60). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: liquid market (score 90), 10% 5-year growth. But transport (20) may limit tenant pool.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Limited by safety (30), environment (35). Not ideal for settled retirement.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Out of reach (£629,000) or poorly connected (transport 20). Not viable as a first purchase.
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.
Transport score 20/100 with no significant infrastructure planned. Car dependency limits property appeal and constrains future value growth.
How Life Works Here
Queens Reach is located in Elmbridge, near East Molesey, Surrey. Crime rates are above average, with 199 incidents recorded in 12 months. Violence and sexual offences is the most frequent category. Violent offences make up 41% of reports. Most everyday needs — supermarkets, pharmacies, and cafés — are within a reasonable walk. The nearest public transport is 55m away. A car is recommended for most journeys. The median property price is £629,000, with moderate growth of 10% over five years. Based on 55 transactions recorded since 2014. The market is highly active with frequent sales. Rented accommodation predominates. There are 6 schools within 2 km, 6 rated Good or Outstanding by Ofsted. Primary schools are nearby, though secondary options may require travel. The nearest school is just 379m away. Note that above-average crime in the area may offset the school accessibility for families. The area sits within Flood Zone 2 (river flooding), indicating medium flood risk. It is worth checking the Environment Agency flood map for current details. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 44 out of 100 for liveability, slightly below 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
Flat/Maisonette | Leasehold | Market: hot
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
Nearby Amenities
Transport Links
Similar Streets
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Thrupps Avenue — Elmbridge45
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Riverview Gardens — Elmbridge44
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Clinton Avenue — Elmbridge45
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Church Walk — Elmbridge42
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Parkside Court — Elmbridge42
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.