Mill Street
Cambridge, Cambridgeshire, England
Reality check: This street has notable limitations across multiple dimensions. Best suited for young professionals (fair), least for first-time buyers (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 data is decent (liquidity 50, market 80). but no clear growth trend limits upside. and weak transport (20) narrows demand.
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%
Out of reach (£450,000) 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
Safety score 25/100 — crime rates are well above average. Exercise caution, especially at night.
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
Mill Street is located in Cambridge, Cambridgeshire. Crime is a significant concern, with 399 incidents recorded in 12 months — well above the national average. Shoplifting dominates reports. 128 violent offences were recorded (32% of total). Daily amenities are excellent, with 5 facilities within walking distance, including fast_food (2), cafe (1), and restaurant (1). Public transport options are limited. A car is recommended for commuting and longer journeys. The median property price is £450,000. Based on 14 transactions recorded since 2014. Rented accommodation predominates, with larger households suggesting families. There are 7 schools within 2 km, 7 rated Good or Outstanding by Ofsted. 2 are rated Outstanding. Both primary and secondary options are available locally. The nearest school is just 495m away. However, high crime rates and a dense urban environment significantly undermine family suitability despite the school provision. Overall, this street scores 50 out of 100 for liveability, placing it in the top 8% within its district. Note that the composite score masks a serious safety concern that may outweigh other strengths for many residents.
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
Terraced | Freehold | Market: stable
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
Nearby Amenities
Similar Streets
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Guest Road — Cambridge50
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Trafalgar Street — Cambridge51
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Regent Street — Cambridge48
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Chesterton Road — Cambridge50
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Regent Terrace — Cambridge52
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.