Cross Street
Tameside, England
Reality check: Affordable entry at £138,950 with warm market liquidity. Strong 24% 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: liquid market (score 70), 24% 5-year growth, affordable entry (£138,950).
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 walkability (45) could be better.
How this is calculated
Transport 35%, Walkability 30%, Amenities 25%, Market 10%
Strong case: liquid market (score 70), 24% 5-year growth, affordable entry (£138,950).
How this is calculated
Liquidity 35%, Market 35%, Price trend bonus up to +30
Good with limitations — safe. 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%
Affordable at £138,950 with decent transport (90) and services (30). Good first step.
How this is calculated
Affordability 40%, Transport 25%, Amenities 20%, Safety 15%
How Life Works Here
Cross Street is located in Tameside, near Mossley. This is a notably low-crime area with only 1 incidents recorded in the past 12 months. 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 (Smith Street) is 24m away. The median property price is £138,950, with strong growth of 24% over five years. Based on 25 transactions recorded since 2014. The local area has a moderate population, with a high proportion of rented accommodation. There are 5 schools within 2 km, 5 rated Good or Outstanding by Ofsted. Primary schools are nearby, though secondary options may require travel. The nearest school is just 342m away. This street may particularly suit property investors. Overall, this street scores 66 out of 100 for liveability, placing it in the top 2% 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
Terraced | Leasehold | Market: warm
Source: HM Land Registry Price Paid Data (Open Government Licence v3.0)
See properties available on this street
We don't list properties ourselves. Search Cross Street in Tameside on these portals:
Streetary is independent — we don't earn commissions from these portals.
Public Services Nearby
Public facilities within walking distance from Cross Street, with detailed information for each.
parks & green spaces (2)
- Mossley Park 569m · 7 min walk
- King George Fields 1093m · 14 min walk
schools (5)
- Milton St John's CofE Primary School 343m · 4 min walk
- St George's CofE Primary School 364m · 4 min walk
- St Joseph's RC Primary School 387m · 5 min walk
- Livingstone Primary School 613m · 8 min walk
- Micklehurst All Saints CofE Primary School 1054m · 13 min walk
Transport Links
Similar Streets
- Lorne Street — Tameside67
- Home Farm Avenue — Tameside66
- Woodlands Close — Tameside66
- High Bank Road — Tameside67
- Old Street — Tameside65
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.