Waidshouse Close
Pendle, Lancashire, England
Reality check: Affordable entry at £130,750 with stable market liquidity. Strong 28% growth over 5 years supports the investment case.
Who Is This Street For?
Scored by profile based on what matters most to each group.
Strong case: 28% 5-year growth, affordable entry (£130,750).
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%
Decent connectivity, but some areas could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: 28% 5-year growth, affordable entry (£130,750).
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Good with limitations — walkable. But environment (35) suggests noise or density, limited nearby services (30).
How this is calculated
Safety 25%, Environment 25%, Amenities 20%, Energy 15%, Walkability 15%
Good entry point at £130,750, but environment (35) is below average.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Waidshouse Close is located in Pendle, near Nelson, Lancashire. Crime is around average for the area, with 142 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. Transport connections are strong, with rail and bus links nearby. The nearest stop (Halifax Road) is 73m away. The median property price is £130,750, with strong growth of 28% over five years. Based on 12 transactions recorded since 2014. Larger household sizes suggest a family-oriented community. There are 14 schools within 2 km, 13 rated Good or Outstanding by Ofsted. Both primary and secondary options are available locally. The nearest school is just 432m away. This street may particularly suit property investors. Market indicators suggest an upward trend. Overall, this street scores 61 out of 100 for liveability, placing it in the top 1% within its district.
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
Semi-Detached | Leasehold | Market: stable
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 Waidshouse Close, with detailed information for each.
parks & green spaces (5)
- Quarry Hill Nature Reserve 428m · 5 min walk
- Heyhead Park 1151m · 14 min walk
- Victoria Park (south) 1646m · 21 min walk
- Lomeshaye Marsh 1795m · 22 min walk
- Victoria Park (north) 1805m · 23 min walk
schools (5)
- Nelson St Paul's Church of England Primary School 433m · 5 min walk
- Marsden Community Primary School 662m · 8 min walk
- Marsden Heights Community College 690m · 9 min walk
- McMillan Nursery School 807m · 10 min walk
- St John Southworth RC Primary School, A Voluntary Academy 850m · 11 min walk
Transport Links
Similar Streets
- Priestfield Avenue — Pendle62
- Milford Street — Pendle60
- Reginald Street — Pendle60
- Alkincoats View — Pendle61
- Ethersall Road — Pendle61
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.