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Countryside Thefts (288A/23)


The number of reported “countryside thefts” for the years of 2019, 2020, 2021, 2022 and 2023.

Countryside thefts: farm plant/ machinery stolen, fuel stolen from farms, thefts from outbuildings



The below data is based on Location Description = Location = Farm/Agricultural Building and Farm Land.

Property Status = Stolen Property


Property Category 2019 2021 2022 Total
ANIMAL 0 0 1 1
Total 1 2 3 6



Sub-Class Category 2019 2021 2022 Total
BAGS/CASES 0 1 0 1
GARDEN 0 0 1 1
GENERAL 0 1 0 1
PEDAL 1 0 0 1
PET ANIMAL 0 0 1 1
PLANT 0 0 1 1


In order to retrieve more detail, we would need to do a keyword search in the Incident Summary. For this we would need specific words, but searches for items such as ‘Petrol’, and ‘Fuel’ would bring back crimes that may not necessarily relate to countryside thefts.

Keyword searches are notoriously unreliable, the reasons why searches using this method are not reliable include (but are not limited to) the following: –

  1. a) Searches rely on the keywords being spelt correctly with no grammatical errors
  2. b) Searches rely on the keywords actually being mentioned in the summary description of the record – if they are mentioned anywhere else within the record but not in the summary, then they will not feature in any results

Please note that these data should be interpreted with caution. Comparing numbers of incidents/crimes can be misleading and does not necessarily indicate the likelihood of someone being a victim of crime. In addition, the number of incidents/crimes recorded in an area over a period of time can be influenced by a number of factors. Consequently, statistics on incidents/crimes for one period may not necessarily be a good indicator of future incidents in that area.

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 considered 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 considered 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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