Windsor Wharf, LONDON, E9 5NY

Overview of E9 5NY

Area E
District E9
Sector E9 5
Unit E9 5NY
No. of addresses
total (33 residential / 0 business)
District
Hackney
Region
London
Constituency
Hackney South and Shoreditch
Latitude
51.547283
Ward
Hackney Wick
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Meg Hillier (Labour (Co-op))
Longitude
-0.026007

NHS Trust for E9 5NY

NHS North East London CCG

Demographic Data for E9 5NY in Output Area E00009202

Density
556 people per km squared
Health
77%
English Speaking
95%
Migrant
Not Known
No. of Students
143 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 E9 5NY

No Religion
33%
Christian
39%
Muslim
18%
Hindu
1%
Sikh
1%
Jewish
3%
Buddhist
2%
Other
0%

Ethnicity in E9 5NY

Asian
  10%
Black
  20%
Mixed
  3%
White
  54%
Other
  12%

Work Hours in E9 5NY

15 or Less
16%
16 - 30 Hours
30%
31 to 48 Hours
46%
49 or More
9%

Amenities in E9 5NY

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
Pharmacies
Dentists

Amenities in E9 5NY

Nearest Schools

Schools
Supermarkets

Outdoors

Walking Routes
Hiking Routes
Cycling Routes

Companies in E9 5NY

Company Name Company Address
No companies found in this postcode

Property sales in E9 5NY

The average property value in E9 5NY is 363,167. The highest value property is 565,000 and the lowest is 200,000.

Following are the details about property sale history in E9 5NY.

Address Sale Price Sale Date
17 Windsor Wharf £275,000 2015-04-02
11 Windsor Wharf £200,000 2003-01-07
11 Windsor Wharf £288,000 2011-01-10
11 Windsor Wharf £565,000 2018-02-21
12 Windsor Wharf £301,000 2011-09-22
25 Windsor Wharf £550,000 2019-09-12

1989 Crimes in the last 12 months - 2km around E9 5NY

Violence and sexual offences
35%
Vehicle crime
14%
Other theft
12%
Public order
9%
Criminal damage and arson
7%
Burglary
6%
Theft from the person
4%
Robbery
4%
Bicycle theft
3%
Drugs
2%
Other crime
1%
Possession of weapons
1%
Shoplifting
1%