FOI 10081-25 Livestock theft
Request to Northamptonshire Police:
i) The total number of cases of livestock theft reported in the calendar years 2019, 2020, 2021, 2022, 2023, 2024.
ii) The total number of livestock theft reported between 01.01.25 - 15.05.25
iii) Of the above cases, please could you break it down by theft of sheep, cows, pigs, horses, chicken, donkey, goats. If this is not possible, alternatively could you provide the number of these theft cases where a keyword search of any of the key words 'sheep, cows, pigs, horses, chicken, donkey, goats' is included.
Response:
Crime searched for all theft offences with stolen property recorded as either CATTLE, PIG, SHEEP, HORSES, CHICKEN, DONKEY, GOATS, EQUINE or POULTRY, all between the years 2021 and 2025 (up to 15 May). Cows, horses and chickens showed a nil return.
|
|
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
2025 |
|---|---|---|---|---|---|---|---|
|
Cattle |
|
|
1 |
|
|
2 |
|
|
Equine |
2 |
2 |
|
1 |
|
|
|
|
Pig |
|
|
2 |
|
|
|
|
|
Poultry |
3 |
4 |
1 |
2 |
|
2 |
|
|
Sheep |
8 |
2 |
1 |
5 |
|
3 |
1 |
The numerical data presented in this response is an un-audited snapshot of un-published data sourced from "live" systems and is subject to the interpretation of the original request by the individual extracting the data.
Every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that the data has 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 the 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 the data is 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.