Cavalier Mews, LEEDS, LS9 0AL

Overview of LS9 0AL

AreaLS
DistrictLS9
SectorLS9 0
UnitLS9 0AL
No. of addresses
total (36 residential / 0 business)
District
Leeds
Region
Yorkshire and The Humber
Constituency
Leeds Central
Latitude
53.78973
Ward
Burmantofts and Richmond Hill
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Hilary Benn (Labour)
Longitude
-1.522467

NHS Trust for LS9 0AL

NHS Leeds CCG

Demographic Data for LS9 0AL in Output Area E00170466

Density
3899 people per km squared
Health
100%
English Speaking
96%
Migrant
Not Known
No. of Students
224 students
Distance to Work
4 km
Male / Female
49%
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 LS9 0AL

No Religion
45%
Christian
44%
Muslim
9%
Hindu
0%
Sikh
0%
Jewish
0%
Buddhist
0%
Other
0%

Ethnicity in LS9 0AL

Asian
  2%
Black
  26%
Mixed
  4%
White
  63%
Other
  6%

Work Hours in LS9 0AL

15 or Less
8%
16 - 30 Hours
33%
31 to 48 Hours
50%
49 or More
10%

Amenities in LS9 0AL

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
    Pharmacies
      Dentists

        Amenities in LS9 0AL

        Nearest Schools

        Schools
          Supermarkets

            Outdoors

            Walking Routes
              Hiking Routes
                Cycling Routes

                  Property sales in LS9 0AL

                  Following are the details about property sale history in LS9 0AL.

                  AddressSale PriceSale Date

                  2480 Crimes in the last 12 months - 2km around LS9 0AL

                  Violence and sexual offences
                  43%
                  Public order
                  12%
                  Vehicle crime
                  10%
                  Other theft
                  10%
                  Burglary
                  7%
                  Criminal damage and arson
                  6%
                  Drugs
                  4%
                  Bicycle theft
                  2%
                  Possession of weapons
                  2%
                  Shoplifting
                  2%
                  Other crime
                  1%
                  Robbery
                  1%
                  Theft from the person
                  0%