Manor Lane, SHEFFIELD, S2 1TR

Overview of S2 1TR

AreaS
DistrictS2
SectorS2 1
UnitS2 1TR
No. of addresses
total (0 residential / 1 business)
District
Sheffield
Region
Yorkshire and The Humber
Constituency
Sheffield Central
Latitude
53.382271
Ward
Manor Castle
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Paul Blomfield (Labour)
Longitude
-1.437931

NHS Trust for S2 1TR

NHS Sheffield CCG

Demographic Data for S2 1TR in Output Area E00039913

Density
3318 people per km squared
Health
100%
English Speaking
94%
Migrant
1%
No. of Students
266 students
Distance to Work
5 km
Male / Female
54%
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 1TR

No Religion
58%
Christian
36%
Muslim
6%
Hindu
0%
Sikh
0%
Jewish
0%
Buddhist
0%
Other
0%

Ethnicity in S2 1TR

Asian
  1%
Black
  6%
Mixed
  5%
White
  82%
Other
  6%

Work Hours in S2 1TR

15 or Less
7%
16 - 30 Hours
33%
31 to 48 Hours
55%
49 or More
5%

Amenities in S2 1TR

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
    Pharmacies
      Dentists

        Amenities in S2 1TR

        Nearest Schools

        Schools
          Supermarkets

            Outdoors

            Walking Routes
              Hiking Routes
                Cycling Routes

                  Companies in S2 1TR

                  Company NameCompany Address
                  No companies found in this postcode

                  Property sales in S2 1TR

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

                  AddressSale PriceSale Date

                  1243 Crimes in the last 12 months - 2km around S2 1TR

                  Violence and sexual offences
                  37%
                  Criminal damage and arson
                  15%
                  Vehicle crime
                  12%
                  Public order
                  9%
                  Burglary
                  8%
                  Other theft
                  6%
                  Shoplifting
                  4%
                  Other crime
                  3%
                  Drugs
                  3%
                  Robbery
                  2%
                  Bicycle theft
                  1%
                  Possession of weapons
                  1%
                  Theft from the person
                  0%