Jenny Gill Crescent
North Yorkshire, England
Reality check: This street has notable limitations across multiple dimensions. Best suited for first-time buyers (fair), least for investors (poor).
Who Is This Street For?
Scored by profile based on what matters most to each group.
Good entry point at £167,000, but environment (35) is below average.
Workable for families, but noisy/dense environment (35) may concern parents.
How this is calculated
Safety 30%, Schools 30%, Environment 20%, Amenities 10%, Energy 10%
Limited connectivity (transport 50, walkability 45). May not suit a commuting lifestyle.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Market score 50, liquidity 30. Poor fundamentals — hard to sell, unlikely to grow.
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Limited by environment (35), service access (30). Not ideal for settled retirement.
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Good entry point at £167,000, but environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Jenny Gill Crescent is located in North Yorkshire, near Skipton. Crime is around average for the area, with 131 incidents in the past year. The most commonly reported category is anti-social behaviour. Violent offences account for 38% of reported crimes. Some amenities are available nearby, though a car may be useful for regular errands like grocery shopping. Public transport is accessible, with rail and bus stops within reach. The nearest is about 157m away. The median property price is £167,000. Based on 3 transactions recorded since 2014. Rented accommodation predominates. There are 6 schools within 2 km, 5 rated Good or Outstanding by Ofsted. Primary schools are nearby, though secondary options may require travel. Some market indicators point to a cooling trend. Overall, this street scores 51 out of 100 for liveability, above the district average.
Score Breakdown
Each dimension scored 0-100 from open government data. Source listed under each bar.
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 Register — awaiting public API access
Environment Agency flood zones
Property Market
Terraced | Freehold | Market: cooling
⚠ Based on only 3 transactions. Market data has low statistical confidence for this street.
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
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Public Services Nearby
Public facilities within walking distance from Jenny Gill Crescent, with detailed information for each.
gyms & sports centres (3)
- Ebru Evrim Skipton 1104m · 14 min walk
- Spirit Of Pilates 1158m · 14 min walk
- Escape Health Club 1559m · 20 min walk
parks & green spaces (3)
- Incredible Edible Skipton 673m · 8 min walk
- Gawflat Meadow 1737m · 22 min walk
- Aireville Park 1781m · 22 min walk
schools (4)
- Skipton Parish Church of England Primary School 596m · 7 min walk
- Otley Street Community Nursery School 710m · 9 min walk
- Greatwood Community Primary School 812m · 10 min walk
- Skipton, Water Street Community Primary School 1164m · 14 min walk
Transport Links
Similar Streets
- Barnet Chase — North Yorkshire51
- Crook Rise View — North Yorkshire51
- Duncan Close — North Yorkshire51
- Coppice View — North Yorkshire51
- Osborne Walk — North Yorkshire51
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.