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Lorry Thefts (1391A/22)

Request

Please can you provide the following:

  1. The total number of lorries (including the tractor unit or trailer on its own or both), stolen within your constabularies jurisdiction during the following periods:
    1. 1st January 2020 – September 30th 2020
    2. 1st January 2021 – September 30th 2021
    3. 1st January 2022 – September 30th 2022
  2. Please provide the following details for each data point:
    1. The location from which the lorry was stolen (e.g. haulage company, car park, service stations, overnight Truck Stops, delivery location or other)
    2. What security measures were in operation at the location of theft (e.g. gates, fencing, HVM roadblockers, other or none)
    3. The value of the lorry itself
    4. What goods the lorry was responsible for carrying
    5. The value of goods the lorry was carrying

Clarification of what we are referring to when we say ‘lorry’:

A lorry is a large vehicle used for transporting goods by road. Lorries are also called Heavy Goods Vehicles or HGV and they weigh more than 7.5 tonnes. There are three mains types of Heavy Goods Vehicles according to the Department of Transport:

  • Smaller 2-Axle lorries
  • Bigger 2 Axle-lorries
  • Multi-Alex lorries

Clarification of what we are referring to when we say ‘tractor unit’ and ‘trailer’:

A ‘trailer’ is where goods are stored for transport

A ‘tractor unit’ is the part of the lorry which tows the trailer, also where the drivers sit

Response

Please find our response below.

1a) 1st January 2020 – September 30th 2020 = 0

1b) 1st January 2021 – September 30th 2021 = 0

1c) 1st January 2022 – September 30th 2022 = 1 trailer

2a) A compound

2b) – 2e) We have conducted a manual review of this record but have been unable to determine this information

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 a number of data sources used by forces for police purposes. The detail collected to respond specifically to your request is subject to the inaccuracies inherent in any large scale recording system. As a consequence, care should be taken to ensure data collection processes and their inevitable limitations are taken into account when interpreting those data.

The figures provided therefore are our best interpretation of relevance of data to your request, but you should be aware that the collation of figures for ad hoc requests may have limitations and this should be taken into account when those data are used.

If you decide to write an article / use the enclosed data we would ask you to take into consideration the factors highlighted in this document so as to not mislead members of the public or official bodies, or misrepresent the relevance of the whole or any part of this disclosed material.

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