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Thefts, Attempted, Vehicles, Annual, Locations, Incidents, Types, Property, Stolen, District, Multiple, Crime.
PUB 1349
16289
Thefts & Attempted Thefts from Vehicles 2015 to 2021
2015 to 2021
Can you please provide me with the following information as it relates to thefts and attempted thefts from vehicles in the Essex police area between 1 January 2015 and 1 January 2021.
1. Total number of thefts from vehicles on an annual basis
2. The locations of such incidents
3. Types of vehicles
4. Property types stolen
5. Full information where known
Full Disclosure
08 December 2021
23 December 2021
N/A
Having completed enquiries within Essex Police in respect of Section 1(1)(a), Essex Police does hold information relating to your request, Essex Police can confirm in respect of Section 1(1)(b) the following data:
Data correct as at 8th December 2021
Date: 1st January 2015 to 1st January 2021
Location = Crime location District
Make of vehicle as specified on Athena. Please note there can be more than one make of vehicle associated to a crime e.g. if a yard with multiple cars the location of the crime
Property types stolen - as specified on Athena. Please note there can be more than one item stolen in a crime
Full information: It has not been possible to provide full information by way of Modus Operandi given the volume of offences and the need to anonymise these to perform this task would attract the exemption under Section 14(1) .
1. Total number of thefts from vehicles on an annual basis
2. The locations of such incidents
Location |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
---|---|---|---|---|---|---|
Basildon |
763 |
480 |
614 |
659 |
614 |
487 |
Braintree |
180 |
172 |
200 |
206 |
235 |
157 |
Brentwood |
292 |
241 |
284 |
371 |
416 |
294 |
Castle Point |
152 |
135 |
160 |
204 |
182 |
142 |
Chelmsford |
350 |
278 |
365 |
401 |
429 |
284 |
Colchester |
261 |
181 |
253 |
221 |
243 |
199 |
Epping |
461 |
428 |
536 |
654 |
647 |
489 |
Harlow |
296 |
203 |
185 |
216 |
268 |
205 |
Maldon |
84 |
71 |
65 |
83 |
88 |
69 |
Rochford |
118 |
102 |
132 |
183 |
175 |
114 |
Southend |
466 |
328 |
326 |
442 |
539 |
345 |
Tendring |
175 |
229 |
225 |
173 |
246 |
141 |
Thurrock |
692 |
509 |
703 |
848 |
895 |
626 |
Uttlesford |
115 |
67 |
90 |
153 |
159 |
105 |
Sum: |
4,405 |
3,424 |
4,138 |
4,814 |
5,136 |
3,657 |
3. Types of vehicles
Vehicle type |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
---|---|---|---|---|---|---|
ABARTH |
|
|
|
|
|
1 |
ADLY |
1 |
|
||||
AIXAM |
1 |
1 |
|
|||
AJS |
1 |
1 |
|
|||
ALEXANDER DENNIS |
1 |
1 |
|
|||
ALFA ROMEO |
6 |
7 |
8 |
9 |
7 |
2 |
APRILIA |
1 |
1 |
2 |
|
||
ASTON MARTIN |
1 |
1 |
||||
AUDI |
150 |
157 |
179 |
172 |
145 |
109 |
AUSTIN |
5 |
9 |
6 |
12 |
10 |
8 |
AUTO-TRAIL |
1 |
|
||||
BEDFORD |
1 |
1 |
|
|||
BENTLEY |
6 |
3 |
2 |
1 |
2 |
1 |
BMW |
63 |
|
||||
BMW(CARS) |
175 |
189 |
282 |
272 |
232 |
132 |
BMW(M/CYCLES) |
1 |
1 |
1 |
|||
BUICK |
1 |
|
||||
CADILLAC |
1 |
|
||||
CAETANO |
1 |
|
||||
CARBODIES |
1 |
1 |
|
|||
CASE(UK) |
1 |
1 |
2 |
1 |
||
CHEVROLET |
12 |
16 |
14 |
11 |
3 |
4 |
CHEVROLET GMC |
4 |
3 |
|
|||
CHRYSLER |
5 |
|
||||
CHRYSLER(AUS/US) |
13 |
7 |
8 |
2 |
2 |
3 |
CITROEN |
240 |
238 |
211 |
236 |
205 |
120 |
CLAAS |
1 |
|||||
CLASSIC CUSTOM |
1 |
|
||||
COLT |
1 |
3 |
2 |
|||
DACIA |
3 |
6 |
5 |
14 |
10 |
6 |
DAELIM |
|
|||||
DAEWOO |
3 |
7 |
1 |
|||
DAF |
11 |
|
||||
DAF TRUCKS |
59 |
42 |
68 |
51 |
58 |
71 |
DAF(HOLLAND) |
3 |
2 |
1 |
1 |
2 |
1 |
DAIHATSU |
3 |
5 |
2 |
1 |
1 |
|
DAIMLER |
1 |
|
||||
DENNIS |
1 |
1 |
|
|||
DODGE |
5 |
2 |
1 |
1 |
||
DS |
|
|||||
DUCATI |
1 |
|
||||
EASY RIDER (M/C) |
|
|||||
FENDT |
1 |
|||||
FERRARI |
2 |
1 |
1 |
|
||
FIAT |
105 |
121 |
111 |
140 |
95 |
63 |
FODEN |
2 |
1 |
|
|||
FORD |
587 |
|
||||
FORD(EUROPE) |
532 |
1067 |
1730 |
1275 |
1027 |
844 |
FORD(UK) |
968 |
618 |
39 |
28 |
19 |
12 |
FORD(US/CAN/AUS) |
2 |
2 |
1 |
2 |
||
GILERA |
3 |
1 |
2 |
1 |
|
|
HARLEY DAVIDSON |
1 |
1 |
||||
HINO |
1 |
|
||||
HOLDEN |
1 |
|
||||
HONDA |
21 |
|
||||
HONDA(CARS) |
55 |
55 |
53 |
55 |
84 |
204 |
HONDA(M/CYCLES) |
5 |
9 |
9 |
6 |
5 |
6 |
HONDA(UK) |
13 |
25 |
18 |
13 |
12 |
24 |
HURLIMANN |
1 |
|
||||
HYOSUNG |
1 |
|
||||
HYUNDAI |
71 |
74 |
73 |
68 |
52 |
42 |
INFINITI |
1 |
|||||
IRIS BUS |
1 |
|
||||
ISUZU |
8 |
4 |
4 |
12 |
5 |
8 |
ISUZU TRUCKS |
4 |
3 |
2 |
5 |
2 |
1 |
IVECO |
7 |
|
||||
IVECO(GERMANY) |
2 |
9 |
4 |
4 |
3 |
|
IVECO(ITALY) |
17 |
13 |
16 |
24 |
6 |
5 |
IVECO-FORD(GERM) |
2 |
|
||||
IVECO-FORD(ITAL) |
5 |
7 |
2 |
3 |
5 |
1 |
IVECO-FORD(SPAIN |
2 |
|
||||
IVECO-FORD(UK) |
2 |
12 |
8 |
4 |
5 |
3 |
JAGUAR |
34 |
22 |
22 |
22 |
27 |
21 |
JCB |
2 |
|
||||
JEEP |
10 |
13 |
14 |
6 |
6 |
5 |
JOHN DEERE |
3 |
1 |
7 |
1 |
||
KAWASAKI |
1 |
2 |
2 |
|||
KEEWAY |
2 |
2 |
2 |
1 |
|
|
KIA |
61 |
51 |
53 |
54 |
38 |
27 |
KTM |
1 |
1 |
||||
KYMCO |
1 |
1 |
1 |
1 |
||
LAND ROVER |
140 |
106 |
114 |
108 |
119 |
80 |
LDV |
12 |
10 |
4 |
4 |
3 |
|
LEVC |
|
|||||
LEXMOTO |
3 |
1 |
1 |
2 |
2 |
|
LEXUS |
16 |
14 |
15 |
11 |
29 |
41 |
LEYLAND |
1 |
1 |
1 |
|
||
LEYLAND DAF |
2 |
2 |
1 |
1 |
|
|
LIFAN |
1 |
|
||||
LML |
1 |
|
||||
LONDON TAXIS INT |
17 |
25 |
22 |
11 |
10 |
1 |
LONGJIA |
1 |
|
||||
LOTUS |
1 |
1 |
|
|||
MAN |
9 |
|
||||
MAN (TRUCKS) |
11 |
26 |
26 |
23 |
25 |
18 |
MAN/VW |
1 |
1 |
|
|||
MANITOU |
1 |
|
||||
MASERATI |
1 |
1 |
|
|||
MASSEY FERGUSON |
1 |
1 |
1 |
|
||
MAXUS |
1 |
1 |
|
|||
MAZDA |
47 |
32 |
29 |
26 |
40 |
32 |
MCC |
1 |
2 |
1 |
1 |
1 |
|
MCW |
1 |
|
||||
MERCEDES |
318 |
324 |
356 |
327 |
314 |
230 |
MERCEDES - BENZ |
134 |
|
||||
MERCURY |
1 |
1 |
|
|||
MG |
8 |
5 |
3 |
3 |
1 |
|
MICROCAR |
1 |
1 |
|
|||
MINI |
54 |
59 |
38 |
50 |
31 |
30 |
MITSUBISHI |
49 |
46 |
30 |
39 |
30 |
35 |
MITSUBISHI(V) |
1 |
3 |
4 |
1 |
1 |
|
MORRIS |
1 |
|
||||
NEOPLAN |
1 |
|
||||
NEW HOLLAND |
2 |
|||||
NISSAN |
58 |
|
||||
NISSAN(EUROPE) |
38 |
39 |
38 |
40 |
42 |
26 |
NISSAN(JAPAN) |
50 |
60 |
49 |
48 |
36 |
22 |
NISSAN(UK) |
66 |
110 |
89 |
101 |
95 |
58 |
OPEL |
2 |
2 |
2 |
|
||
OPTARE |
1 |
|
||||
PERODUA |
1 |
1 |
|
|||
PEUGEOT |
81 |
|
||||
PEUGEOT(FRANCE) |
149 |
223 |
202 |
220 |
206 |
129 |
PEUGEOT(MCYCLES) |
2 |
1 |
1 |
2 |
1 |
|
PEUGEOT(UK) |
47 |
43 |
32 |
26 |
15 |
12 |
PGO |
1 |
|
||||
PIAGGIO |
1 |
2 |
2 |
4 |
1 |
|
PIONEER |
1 |
|
||||
PONTIAC |
1 |
|
||||
PORSCHE |
15 |
12 |
11 |
8 |
9 |
8 |
PROTON |
2 |
3 |
1 |
1 |
|
|
PULSE |
1 |
1 |
|
|||
QINGQI |
2 |
|
||||
RELIANT |
1 |
1 |
|
|||
RENAULT |
79 |
|
||||
RENAULT TRUCKS |
24 |
19 |
23 |
13 |
19 |
10 |
RENAULT(AGRIC) |
1 |
1 |
2 |
1 |
|
|
RENAULT(FRANCE) |
173 |
178 |
168 |
174 |
113 |
81 |
RENAULT(UK) |
21 |
35 |
39 |
27 |
41 |
26 |
RILEY |
1 |
|
||||
ROLLS ROYCE |
1 |
1 |
1 |
|||
ROVER |
30 |
37 |
15 |
17 |
12 |
14 |
SAAB |
9 |
8 |
10 |
5 |
4 |
4 |
SANGYANG |
1 |
|
||||
SCANIA |
27 |
31 |
43 |
29 |
34 |
43 |
SCHMIDT |
1 |
1 |
1 |
2 |
||
SCORPA |
1 |
|
||||
SEAT |
36 |
30 |
37 |
31 |
24 |
19 |
SETRA |
1 |
|
||||
SKODA |
25 |
44 |
41 |
54 |
38 |
19 |
SMART |
21 |
20 |
14 |
15 |
14 |
10 |
SSANGYONG |
2 |
3 |
3 |
5 |
3 |
1 |
SUBARU |
7 |
3 |
4 |
3 |
1 |
1 |
SUZUKI |
5 |
|
||||
SUZUKI(CARS) |
18 |
21 |
21 |
21 |
13 |
14 |
SUZUKI(M/CYCLES) |
4 |
3 |
3 |
3 |
1 |
1 |
SUZUKI(SPAIN) |
2 |
1 |
|
|||
SUZUKI(UK) |
1 |
1 |
|
|||
SYM |
2 |
|
||||
TAIWAN GOLDENBEE |
1 |
|
||||
TALBOT(ITALY) |
1 |
|
||||
TESLA |
1 |
4 |
||||
TOYOTA |
41 |
|
||||
TOYOTA(JAPAN) |
84 |
70 |
73 |
82 |
116 |
131 |
TOYOTA(UK) |
36 |
41 |
51 |
29 |
62 |
82 |
TRIUMPH |
2 |
1 |
1 |
|
||
UNIMOG |
1 |
|
||||
VAUXHALL |
547 |
434 |
469 |
464 |
404 |
239 |
VESPA(DOUGLAS) |
1 |
|
||||
VOLGA |
1 |
|
||||
VOLKSWAGEN |
288 |
265 |
294 |
244 |
275 |
190 |
VOLVO |
80 |
55 |
53 |
56 |
65 |
43 |
VOXAN |
1 |
|
||||
WANGYE |
|
|||||
WK BIKES |
1 |
|
||||
YAMAHA |
4 |
4 |
4 |
1 |
3 |
2 |
BRISTOL(BLMC) |
1 |
|
||||
LEYLAND AM |
1 |
|
||||
RIEJU |
1 |
|
||||
SINNIS |
1 |
|
||||
Not specified |
204 |
131 |
122 |
118 |
167 |
139 |
Grand Total |
6397 |
5397 |
5554 |
4973 |
4522 |
3553 |
Every effort is made to ensure that the data provided by Essex Police is accurate and complete. However, Essex Police systems are designed primarily for the management of individual cases and not for the purposes of providing data to answer specific FOI enquiries. Please note although data can be extracted from a number of sources via database queries, the results may be subject to inaccuracies. Care should be taken to understand our return when considering the interpretation or further use of the data.