Flat G, Vincent House, 486 Manor Lane, SHEFFIELD, S2 1UQ

Overview of S2 1UQ

Area S
District S2
Sector S2 1
Unit S2 1UQ
No. of addresses
total (21 residential / 0 business)
District
Sheffield
Region
Yorkshire and The Humber
Constituency
Sheffield Central
Latitude
53.380611
Ward
Manor Castle
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Paul Blomfield (Labour)
Longitude
-1.435096

NHS Trust for S2 1UQ

No NHS Trust found for this postcode

Demographic Data for S2 1UQ in Output Area E00040595

Density
713 people per km squared
Health
100%
English Speaking
99%
Migrant
Not Known
No. of Students
340 students
Distance to Work
3 km
Male / Female
50%
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 1UQ

No Religion
49%
Christian
46%
Muslim
4%
Hindu
0%
Sikh
0%
Jewish
0%
Buddhist
0%
Other
0%

Ethnicity in S2 1UQ

Asian
  3%
Black
  3%
Mixed
  4%
White
  91%
Other
  0%

Work Hours in S2 1UQ

15 or Less
6%
16 - 30 Hours
26%
31 to 48 Hours
58%
49 or More
10%

Amenities in S2 1UQ

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
Pharmacies
Dentists

Amenities in S2 1UQ

Nearest Schools

Schools
Supermarkets

Outdoors

Walking Routes
Hiking Routes
Cycling Routes

Property sales in S2 1UQ

The average property value in S2 1UQ is 56,214. The highest value property is 80,000 and the lowest is 32,000.

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

Address Sale Price Sale Date
474 Manor Lane £65,000 2009-12-09
476 Manor Lane £33,500 2001-05-31
478 Manor Lane £68,000 2004-05-21
478 Manor Lane £80,000 2011-04-08
482 Manor Lane £32,000 1999-08-26
486 Manor Lane £45,000 2002-07-17
490 Manor Lane £70,000 2007-07-18

1247 Crimes in the last 12 months - 2km around S2 1UQ

Violence and sexual offences
38%
Criminal damage and arson
16%
Vehicle crime
11%
Public order
9%
Burglary
7%
Other theft
6%
Shoplifting
4%
Other crime
3%
Drugs
3%
Robbery
2%
Possession of weapons
1%
Bicycle theft
1%
Theft from the person
0%