Stolen Drones (1095A/22)
Request
- Between 1st January 2015 and 31st July 2022, the total number of drones reported as stolen within your force area and their corresponding dates.
- Between 1st January 2015 and 31st July 2022 of those reported, please specify the make and model of each drone (if recorded).
- Between 1st January 2015 and 31st July 2022 of those reported, please briefly breakdown and classify the type of theft, such as Theft from Motor Vehicle (TFMV), Burglary Domestic, Burglary Commercial, Robbery etc for each of the occurrences.
- Between 1st January 2015 and 31st July 2022 of those reported, please detail the cost of the stolen item(s).
- Between 1st January 2015 and 31st July 2022 of those reported, how many have been recovered and how many have led to a conviction?
- Between 1st January 2015 and 31st July 2022 of those reported, how many have identifying features recorded, such as a serial number?
As an example, a typical data return could look like the following (please use a separate line for each occurrence):
Date Make / Model Occurrence Type Value S/N Recorded Recovered Conviction
Response
Please find attached our response.
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 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.