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Number of incidents of thefts of livestock in the county broken down by species, year on year from 2000 to 2025, specifically Sheep/Lambs and Pigs.
Searched for all theft offences with stolen property recorded as either CATTLE, PIG, SHEEP, HORSES, CHICKEN, DONKEY, GOATS, EQUINE or POULTRY, between the years 2016 and 2025 (up to 13 October 2025 at 2.54pm).
Due to a change of systems, data is not available before March 2016.
|
Year |
Cattle thefts |
Equine thefts |
Pig thefts |
Poultry thefts |
Sheep thefts |
Total number of livestock theft occurrences |
|---|---|---|---|---|---|---|
|
2016 |
1 |
|
2 |
5 |
9 |
17 |
|
2017 |
1 |
|
|
3 |
3 |
7 |
|
2018 |
1 |
1 |
|
2 |
5 |
9 |
|
2019 |
|
2 |
|
3 |
8 |
13 |
|
2020 |
|
2 |
|
4 |
2 |
8 |
|
2021 |
1 |
|
2 |
1 |
1 |
5 |
|
2022 |
|
1 |
|
2 |
5 |
8 |
|
2024 |
2 |
|
|
2 |
3 |
7 |
|
2025 |
|
|
|
|
1 |
1 |
|
Total |
6 |
6 |
4 |
22 |
37 |
75 |
As with any keyword search, the search will only return exact matches within the Incident Description or Crime MO. This does not account for differences in terminology and/or spelling used. Keyword searches are problematic and in no way provide accurate results or figures. If the selected key words have not been mentioned, the data will not be returned. Vice versa, if the key words have been mentioned in an unrelated context, irrelevant data will be collected.
The numerical data presented in this response is an unaudited snapshot of unpublished data sourced from "live" systems and is subject to the interpretation of the original request by the individual extracting the data.
Northamptonshire Police systems are designed primarily for the management of individual cases and not for the production of statistical information for Freedom of Information responses.
Every effort is made to ensure that the figures presented are accurate and complete. 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 or use the enclosed data, we 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.