8 Whitehall Avenue, Rumney, CARDIFF, CF3 3DQ

Overview of CF3 3DQ

Area CF
District CF3
Sector CF3 3
Unit CF3 3DQ
No. of addresses
total (7 residential / 0 business)
District
Cardiff
Region
(pseudo) Wales
Constituency
Cardiff South and Penarth
Latitude
51.507561
Ward
Rumney
County
(pseudo) Wales
Country
Wales
MP
Stephen Doughty (Labour (Co-op))
Longitude
-3.132666

NHS Trust for CF3 3DQ

Cardiff and Vale University Health Board

Demographic Data for CF3 3DQ in Output Area W00009602

Density
5516 people per km squared
Health
100%
English Speaking
96%
Migrant
Not Known
No. of Students
293 students
Distance to Work
3 km
Male / Female
52%
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 CF3 3DQ

No Religion
39%
Christian
52%
Muslim
3%
Hindu
3%
Sikh
4%
Jewish
0%
Buddhist
0%
Other
0%

Ethnicity in CF3 3DQ

Asian
  8%
Black
  0%
Mixed
  4%
White
  86%
Other
  2%

Work Hours in CF3 3DQ

15 or Less
14%
16 - 30 Hours
17%
31 to 48 Hours
59%
49 or More
10%

Amenities in CF3 3DQ

Health Care

Nearest Health Care Facilities

Hospitals / Doctors
Pharmacies
Dentists

Amenities in CF3 3DQ

Nearest Schools

Schools
Supermarkets

Outdoors

Walking Routes
Hiking Routes
Cycling Routes

Companies in CF3 3DQ

Company Name Company Address
No companies found in this postcode

Property sales in CF3 3DQ

The average property value in CF3 3DQ is 170,333. The highest value property is 262,000 and the lowest is 80,000.

Following are the details about property sale history in CF3 3DQ.

Address Sale Price Sale Date
2 Whitehall Avenue £119,000 2002-05-01
2 Whitehall Avenue £262,000 2018-12-11
3 Whitehall Avenue £208,000 2007-11-29
3 Whitehall Avenue £250,000 2015-01-22
6 Whitehall Avenue £80,000 1997-09-19
8 Whitehall Avenue £103,000 2001-07-27

791 Crimes in the last 12 months - 2km around CF3 3DQ

Violence and sexual offences
39%
Public order
12%
Vehicle crime
12%
Criminal damage and arson
11%
Shoplifting
7%
Other theft
7%
Burglary
3%
Drugs
3%
Bicycle theft
2%
Other crime
2%
Possession of weapons
1%
Theft from the person
1%
Robbery
0%