378 Manor Lane, SHEFFIELD, S2 1UN

Overview of S2 1UN

Area S
District S2
Sector S2 1
Unit S2 1UN
No. of addresses
total (17 residential / 0 business)
District
Sheffield
Region
Yorkshire and The Humber
Constituency
Sheffield Central
Latitude
53.37674
Ward
Manor Castle
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Paul Blomfield (Labour)
Longitude
-1.434155

NHS Trust for S2 1UN

NHS Sheffield CCG

Demographic Data for S2 1UN in Output Area E00040604

Density
5583 people per km squared
Health
100%
English Speaking
98%
Migrant
Not Known
No. of Students
311 students
Distance to Work
4 km
Male / Female
55%
Demographic data is based on the most recent census data available for the area. The area is based on the Output Area that the address falls within.
Source: Office for National Statistics

Religion in S2 1UN

No Religion
48%
Christian
42%
Muslim
10%
Hindu
0%
Sikh
0%
Jewish
0%
Buddhist
0%
Other
0%

Ethnicity in S2 1UN

Asian
  8%
Black
  9%
Mixed
  9%
White
  72%
Other
  2%

Work Hours in S2 1UN

15 or Less
6%
16 - 30 Hours
25%
31 to 48 Hours
62%
49 or More
7%

Amenities in S2 1UN

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
Pharmacies
Dentists

Amenities in S2 1UN

Nearest Schools

Schools
Supermarkets

Outdoors

Walking Routes
Hiking Routes
Cycling Routes

Companies in S2 1UN

Company Name Company Address
No companies found in this postcode

Property sales in S2 1UN

The average property value in S2 1UN is 57,514. The highest value property is 89,000 and the lowest is 28,000.

Following are the details about property sale history in S2 1UN.

Address Sale Price Sale Date
358 Manor Lane £36,500 2001-06-22
360 Manor Lane £89,000 2008-10-24
360 Manor Lane £62,500 2011-12-13
366 Manor Lane £86,000 2019-08-23
372 Manor Lane £29,950 2002-05-17
374 Manor Lane £28,000 1997-06-13
374 Manor Lane £86,000 2008-03-04
384 Manor Lane £42,160 2006-08-21

1342 Crimes in the last 12 months - 2km around S2 1UN

Violence and sexual offences
37%
Criminal damage and arson
16%
Vehicle crime
11%
Public order
8%
Burglary
8%
Other theft
7%
Drugs
3%
Shoplifting
3%
Other crime
3%
Robbery
2%
Bicycle theft
1%
Possession of weapons
1%
Theft from the person
0%