8 Kinglet Close, LONDON, E7 9HF

Overview of E7 9HF

Area E
District E7
Sector E7 9
Unit E7 9HF
No. of addresses
total (30 residential / 0 business)
District
Newham
Region
London
Constituency
West Ham
Latitude
51.545776
Ward
Forest Gate South
County
(pseudo) England (UA/MD/LB)
Country
England
MP
Lyn Brown (Labour)
Longitude
0.018377

NHS Trust for E7 9HF

NHS North East London CCG

Demographic Data for E7 9HF in Output Area E00017941

Density
16367 people per km squared
Health
100%
English Speaking
69%
Migrant
Not Known
No. of Students
390 students
Distance to Work
6 km
Male / Female
53%
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 E7 9HF

No Religion
15%
Christian
43%
Muslim
34%
Hindu
2%
Sikh
0%
Jewish
0%
Buddhist
4%
Other
0%

Ethnicity in E7 9HF

Asian
  28%
Black
  31%
Mixed
  5%
White
  29%
Other
  8%

Work Hours in E7 9HF

15 or Less
13%
16 - 30 Hours
22%
31 to 48 Hours
57%
49 or More
8%

Amenities in E7 9HF

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
Pharmacies
Dentists

Amenities in E7 9HF

Nearest Schools

Schools
Supermarkets

Outdoors

Walking Routes
Hiking Routes
Cycling Routes

Property sales in E7 9HF

The average property value in E7 9HF is 266,125. The highest value property is 375,000 and the lowest is 147,500.

Following are the details about property sale history in E7 9HF.

Address Sale Price Sale Date
30 Kinglet Close £147,500 2015-06-29
20 Kinglet Close £210,000 2012-02-21
20 Kinglet Close £375,000 2017-05-12
21 Kinglet Close £200,000 2012-01-27
23 Kinglet Close £320,000 2015-09-02
24 Kinglet Close £360,000 2015-12-18
25 Kinglet Close £207,500 2007-04-30
25 Kinglet Close £309,000 2014-05-21

3897 Crimes in the last 12 months - 2km around E7 9HF

Violence and sexual offences
37%
Vehicle crime
11%
Drugs
11%
Other theft
10%
Public order
7%
Burglary
7%
Criminal damage and arson
6%
Robbery
4%
Theft from the person
3%
Other crime
2%
Shoplifting
2%
Bicycle theft
1%
Possession of weapons
1%