12 Jun 2007 : Column 964Wcontinued
| 2005 |
CJS area | Jan-Mar | Apr-Jun | Jul-Sep | Oct-Dec | Total |
Avon and Somerset
|
27
|
12
|
11
|
11
|
61
|
Bedfordshire
|
5
|
19
|
6
|
10
|
40
|
Cambridgeshire
|
14
|
15
|
11
|
10
|
50
|
Cheshire
|
27
|
30
|
29
|
12
|
98
|
Cleveland
|
15
|
13
|
17
|
15
|
60
|
Cumbria
|
11
|
15
|
14
|
9
|
49
|
Derbyshire
|
16
|
13
|
11
|
14
|
54
|
Devon and Cornwall
|
30
|
16
|
18
|
8
|
72
|
Dorset
|
3
|
6
|
6
|
4
|
19
|
Durham
|
4
|
10
|
6
|
7
|
27
|
Essex
|
26
|
25
|
15
|
6
|
72
|
Gloucestershire
|
14
|
12
|
3
|
1
|
30
|
Greater London
|
154
|
143
|
118
|
113
|
528
|
Greater Manchester
|
124
|
133
|
115
|
84
|
456
|
Hampshire
|
32
|
34
|
27
|
19
|
112
|
Hertfordshire
|
21
|
17
|
20
|
14
|
72
|
Humberside
|
36
|
36
|
36
|
29
|
137
|
Kent
|
14
|
12
|
10
|
8
|
44
|
Lancashire
|
33
|
38
|
44
|
33
|
148
|
Leicestershire
|
28
|
16
|
4
|
11
|
59
|
Lincolnshire
|
5
|
5
|
5
|
5
|
20
|
Merseyside
|
39
|
41
|
21
|
27
|
128
|
Norfolk
|
13
|
13
|
12
|
8
|
46
|
Northamptonshire
|
13
|
8
|
9
|
1
|
31
|
Northumbria
|
51
|
53
|
42
|
27
|
173
|
North Yorkshire
|
10
|
3
|
11
|
10
|
34
|
Nottinghamshire
|
41
|
28
|
34
|
23
|
126
|
South Yorkshire
|
34
|
25
|
17
|
28
|
104
|
Staffordshire
|
14
|
21
|
16
|
8
|
59
|
Suffolk
|
11
|
18
|
10
|
14
|
53
|
Surrey
|
14
|
13
|
12
|
10
|
49
|
Sussex
|
22
|
29
|
22
|
21
|
94
|
Thames Valley
|
16
|
12
|
12
|
15
|
55
|
Warwickshire
|
6
|
9
|
11
|
4
|
30
|
West Mercia
|
10
|
24
|
18
|
18
|
70
|
West Midlands
|
92
|
81
|
83
|
47
|
303
|
West Yorkshire
|
58
|
61
|
65
|
76
|
260
|
Wiltshire
|
7
|
8
|
5
|
2
|
22
|
England
|
1,090
|
1,067
|
926
|
762
|
3,845
|
Dyfed Powys
|
1
|
2
|
5
|
7
|
15
|
Gwent
|
7
|
14
|
7
|
5
|
33
|
North Wales
|
23
|
31
|
29
|
20
|
103
|
South Wales
|
15
|
15
|
18
|
16
|
64
|
Wales
|
46
|
62
|
59
|
48
|
215
|
Total England and Wales
|
1,136
|
1,129
|
985
|
810
|
4,060
|
Note: Every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that these data have been extracted from large administrative data systems generated by the courts As a consequence, care should be taken to ensure data collection processes and their inevitable limitations are taken into account when those data are used.
|
Table B : Number of ASBOs issued annually at all courts, where prohibitions have been imposed in local government authority areas in Greater London, 2001-05 |
Greater London boroughs | 2001 | 2002 | 2003 | 2004 | 2005 | Total issued |
Barking and Dagenham
|
|
|
2
|
4
|
19
|
25
|
Barnet
|
2
|
|
1
|
10
|
9
|
22
|
Bexley
|
|
6
|
4
|
4
|
6
|
20
|
Brent
|
|
|
8
|
6
|
11
|
25
|
Bromley
|
|
|
5
|
3
|
5
|
13
|
Camden
|
1
|
10
|
30
|
57
|
69
|
167
|
City of London Corp
|
|
|
|
10
|
6
|
16
|
Croydon
|
|
|
7
|
8
|
10
|
25
|
Ealing
|
|
|
1
|
14
|
9
|
24
|
Enfield
|
|
|
2
|
4
|
15
|
21
|
Greenwich
|
3
|
1
|
3
|
8
|
11
|
26
|
Hackney
|
1
|
1
|
1
|
15
|
14
|
32
|
Hammersmith and Fulham
|
2
|
|
4
|
12
|
16
|
34
|
Haringey
|
|
|
5
|
34
|
25
|
64
|
Harrow
|
|
|
1
|
12
|
2
|
15
|
Havering
|
|
|
1
|
9
|
19
|
29
|
Hillingdon
|
|
|
|
18
|
36
|
54
|
12 Jun 2007 : Column 965W
Hounslow
|
|
|
7
|
23
|
22
|
52
|
Islington
|
|
|
10
|
6
|
10
|
26
|
Kensington and Chelsea Royal Borough
|
|
|
1
|
9
|
7
|
17
|
Kingston-on-Thames
|
|
|
4
|
4
|
5
|
13
|
Lambeth
|
2
|
1
|
2
|
20
|
20
|
45
|
Lewisham
|
2
|
|
5
|
16
|
12
|
35
|
Merton
|
|
1
|
2
|
13
|
10
|
26
|
Newham
|
2
|
|
|
5
|
11
|
18
|
Redbridge
|
|
|
1
|
8
|
9
|
18
|
Richmond upon Thames
|
|
|
3
|
10
|
13
|
26
|
Southwark
|
|
|
8
|
11
|
18
|
37
|
Sutton
|
|
|
7
|
7
|
19
|
33
|
Tower Hamlets
|
|
1
|
3
|
16
|
36
|
56
|
Waltham Forest
|
|
|
|
15
|
11
|
26
|
Wandsworth
|
|
|
6
|
12
|
12
|
30
|
Westminster
|
|
|
6
|
38
|
35
|
79
|
Total
|
15
|
21
|
140
|
441
|
532
|
1,149
|
Notes: 1. This local authority area table differs from criminal justice system (CJS) area tables in that an issuing court can be outside the area in which the restrictions have been imposed. 2. Every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that these data have been extracted from large administrative data systems generated by the courts. As a consequence, care should be taken to ensure data collection processes and their inevitable limitations are taken into account when those data are used.
|