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27 Oct 2009 : Column 286W—continued


Detection Rates: North Yorkshire

Hugh Bayley: To ask the Secretary of State for the Home Department what the detection clear-up rate was for each category of crime in North Yorkshire in each year since 2002-03. [295224]

Mr. Alan Campbell: The information requested is given in the table.

It should be noted that non-sanction detections that contribute to the percentage change in detection rates have fallen in recent years reflecting a significant shift by many police forces away from recording detections
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of crime where no further action is taken. For this reason overall detection rates over time are not fully comparable.

From 2 April 2007 the rules governing recording of non-sanction detections were revised to reduce the scope within which they can be claimed to a very limited set of circumstance. In terms of offences detected by the police, the preferred measure is now to use sanction detections.


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Detection rates are a ratio of crimes detected in a period to crimes recorded in a period. They are not based on tracking whether individual crimes recorded in a period have eventually been detected.

Detection rates for offences recorded and detected in North Yorkshire
Percentage

2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09

Violence against the person

67

67

77

75

70

69

59

Sexual offences

51

48

46

47

44

37

37

Robbery

21

32

31

31

26

29

31

Burglary

11

13

13

14

11

12

13

Offences against vehicle

6

9

9

11

8

8

11

Other theft offences

24

25

27

28

28

28

28

Fraud and forgery

48

46

56

50

49

57

52

Criminal damage

14

15

19

20

19

18

17

Drug offences

102

100

98

98

99

87

95

Other offences

94

96

89

93

77

87

84

Total

26

28

35

35

33

33

31

Note:
Offences detected in a given year may have been initially recorded in an earlier year and for this reason some percentages may exceed 100.

DNA: Databases

Chris Huhne: To ask the Secretary of State for the Home Department how many and what proportion of (a) white, (b) black and (c) Asian (i) men and (b) women aged (A) 10 to 15, (B) 16 to 17 and (C) 18 or more years old were on the national DNA database in each year since 2001. [294185]

Alan Johnson: The national DNA database (NDNAD) is constantly changing as profiles are added and deleted. It is not possible to produce information retrospectively on the state of the database in past years, unless this was collected by statistics produced at the time. The information sought on the number of those on the NDNAD by the ethnicity, gender and age groups specified is available for 31 March 2009 and 31 March 2008 and is provided in table 1. Some information is also available for 31 March 2007, and is provided in table 2. The information sought is not available for years before 2007.

The tables show the number of profiles held, which is not the same as the number of individuals. This is because some profiles are replicates i.e. more than one profile is held for one individual. This may occur if, for example, an individual gives different names, or different versions of their name, on separate arrests. As at 31 March 2009, the replication rate on the NDNAD as a whole was 13.5 per cent. The tables show data on profiles loaded by all police forces.

It is not possible to calculate accurately the proportion of members of ethnic groups in the population as a whole who are on the NDNAD because the data held on the NDNAD are not directly comparable with census population data. The NDNAD does not hold self-reported ethnicity data on arrested persons who have a DNA sample taken, but on their 'ethnic appearance'. The ethnic appearance data is based on the judgment of the police officer and is recorded for police intelligence purposes to assist in subsequent identification. It uses six broad ethnic categories (plus 'unknown') whereas census data is based on 16 ethnic groups self-reported by individuals.


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Table 1
Gender Ethnic appearance Current age as at 31 March 2009 Profiles retained at 31 March 2009 Current age as at 31 March 2008 Profiles retained at 31 March 2008

Female

Unknown

10-15

1,855

10-15

2,929

16-17

4,116

16-17

5,099

18+

89,878

18+

83,266

Asian

10-15

914

10-15

888

16-17

1,598

16-17

1,384

18+

33,839

18+

27,807

Black

10-15

2,859

10-15

2,902

16-17

4,274

16-17

4,109

18+

76,008

18+

63,843

Chinese, Japanese or SE Asian

10-15

83

10-15

93

16-17

203

16-17

199

18+

9,340

18+

7,472

Middle Eastern

10-15

70

10-15

50

16-17

89

16-17

84

18+

3,290

18+

2,689

White-North European

10-15

32,912

10-15

36,756

16-17

52,699

16-17

53,528

18+

813,093

18+

701,320

White-South European

10-15

636

10-15

617

16-17

868

16-17

721

18+

17,621

18+

14,330

Male

Unknown

10-15

4,537

10-15

7,313

16-17

10,139

16-17

13,538

18+

382,983

18+

360,727

Asian

10-15

4,314

10-15

4,281

16-17

7,625

16-17

7,275

18+

244,229

18+

208,640

Black

10-15

7,277

10-15

7,038

16-17

11,242

16-17

11,062

18+

310,471

18+

274,282

Chinese, Japanese or SE Asian

10-15

216

10-15

197

16-17

443

16-17

378

18+

25,019

18+

20,168

Middle Eastern

10-15

500

10-15

323

16-17

999

16-17

739

18+

36,300

18+

30,467

White-North European

10-15

72,265

10-15

81,248

16-17

109,096

16-17

114,249

18+

3,115,325

18+

2,790,097

White-South European

10-15

1,335

10-15

1,187

16-17

1,921

16-17

1,690

18+

82,818

18+

70,090

Gender not recorded

Unknown

10-15

45

10-15

46

16-17

73

16-17

258

18+

34,449

18+

34,460

Asian

10-15

18

10-15

17

16-17

34

16-17

48

18+

591

18+

476

Black

10-15

44

10-15

26

16-17

33

16-17

34

18+

487

18+

376

Chinese, Japanese or SE Asian

10-15

1

10-15

1

16-17

2

16-17

2

18+

83

18+

72

Middle Eastern

10-15

1

10-15

1

16-17

4

16-17

2

18+

106

18+

94

White-North European

10-15

336

10-15

419

16-17

458

16-17

475

18+

4,868

18+

4,289

White-South European

10-15

11

10-15

9

16-17

5

16-17

11

18+

164

18+

122


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