Leave this site
We use some essential cookies to make our website work. We’d like to set additional cookies so we can remember your preferences and understand how you use our site.
You can manage your preferences and cookie settings at any time by clicking on “Customise Cookies” below. For more information on how we use cookies, please see our Cookies notice.
Your cookie preferences have been saved. You can update your cookie settings at any time on the cookies page.
Your cookie preferences have been saved. You can update your cookie settings at any time on the cookies page.
Sorry, there was a technical problem. Please try again.
This site is a beta, which means it's a work in progress and we'll be adding more to it over the next few weeks. Your feedback helps us make things better, so please let us know what you think.
Request
Please could you provide the following information:
Number of reported thefts of animals (from the list below):
animal fish freshwater
animal fish pond
animal fish tropical
animal livestock horse
animal livestock poultry
animal livestock sheep
animal pet animal cat
animal pet animal pet animal-bird
animal pet animal pet animal-dog
animal pet animal pet animal-other
animal pet animal rabbit
animal pet animal reptile
animal pet animal tortoise
animal wild wild animal
Please provide the number of reported thefts involving animals for each of
the following calendar years: 2019, 2020, 2021, 2022, 2023, and 2024.
Please break this down, where available, by:
- Postcode district for each year (e.g., LS1, M20)
- Month (i.e., monthly totals) for each year
Response
Please find enclosed our response:
Due to a change in systems, information from January 2019 - February 2021 are presented as a separate data set to information from March 2021 - December 2024. Please note that there are limited category descriptions for data pre-March 2021.
Please provide the number of reported thefts involving animals for each of the following calendar years: 2019, 2020, 2021, 2022, 2023, and 2024.
|
Year |
BIRD |
CAT |
DOG |
Total |
|
2019 |
4 |
2 |
16 |
22 |
|
2020 |
0 |
4 |
16 |
21 |
|
2021 |
0 |
3 |
4 |
7 |
|
Total |
4 |
9 |
36 |
49 |
|
Year |
Fish freshwater |
Fish pond |
Fish tropical |
Livestock horse |
Livestock poultry |
Livestock sheep |
Pet animal bird |
Pet animal cat |
Pet animal dog |
Pet animal other |
Pet animal rabbit |
Pet animal reptile |
Pet animal tortoise |
|
2021 |
2 |
1 |
|
1 |
3 |
|
2 |
15 |
81 |
6 |
|
1 |
|
|
2022 |
2 |
1 |
1 |
2 |
1 |
1 |
3 |
12 |
98 |
1 |
1 |
1 |
1 |
|
2023 |
1 |
1 |
|
|
2 |
1 |
2 |
15 |
72 |
2 |
2 |
|
|
|
2024 |
1 |
1 |
1 |
1 |
4 |
1 |
2 |
22 |
54 |
5 |
1 |
1 |
|
|
Total |
6 |
4 |
2 |
4 |
10 |
3 |
9 |
64 |
305 |
14 |
4 |
3 |
1 |
Please break this down, where available, by:
- Postcode district for each year (e.g., LS1, M20)
- Month (i.e., monthly totals) for each year
The monthly totals have been provided as this data also answers yearly data.
|
Month |
BIRD |
CAT |
DOG |
Total |
|
Jan-19 |
1 |
|
|
1 |
|
Feb-19 |
|
|
1 |
1 |
|
Mar-19 |
|
|
1 |
1 |
|
Apr-19 |
|
|
1 |
1 |
|
May-19 |
1 |
|
2 |
3 |
|
Jun-19 |
|
1 |
4 |
5 |
|
Jul-19 |
|
|
3 |
3 |
|
Aug-19 |
1 |
1 |
1 |
3 |
|
Sep-19 |
|
|
|
|
|
Oct-19 |
|
|
|
|
|
Nov-19 |
|
|
1 |
1 |
|
Dec-19 |
1 |
|
2 |
3 |
|
Jan-20 |
|
|
2 |
2 |
|
Feb-20 |
|
|
|
|
|
Mar-20 |
|
|
2 |
2 |
|
Apr-20 |
|
|
|
|
|
May-20 |
|
|
1 |
1 |
|
Jun-20 |
|
|
1 |
1 |
|
Jul-20 |
|
1 |
1 |
2 |
|
Aug-20 |
|
|
3 |
3 |
|
Sep-20 |
|
|
1 |
1 |
|
Oct-20 |
|
|
1 |
1 |
|
Nov-20 |
|
2 |
4 |
6 |
|
Dec-20 |
|
1 |
|
1 |
|
Jan-21 |
|
1 |
4 |
5 |
|
Feb-21 |
|
2 |
|
2 |
|
Month |
FISH FRESHWATER |
FISH POND |
FISH TROPICAL |
LIVESTOCK HORSE |
LIVESTOCK POULTRY |
LIVESTOCK SHEEP |
PET ANIMAL BIRD |
PET ANIMAL CAT |
PET ANIMAL DOG |
PET ANIMAL OTHER |
PET ANIMAL RABBIT |
PET ANIMAL REPTILE |
PET ANIMAL TORTOISE |
|
Mar-21 |
|
|
|
|
|
|
|
1 |
1 |
|
|
|
|
|
Apr-21 |
|
|
|
|
2 |
|
1 |
2 |
12 |
2 |
|
1 |
|
|
May-21 |
1 |
|
|
|
|
|
|
1 |
13 |
|
|
|
|
|
Jun-21 |
|
|
|
|
1 |
|
|
1 |
5 |
2 |
|
|
|
|
Jul-21 |
1 |
|
|
|
|
|
1 |
3 |
7 |
|
|
|
|
|
Aug-21 |
|
1 |
|
1 |
|
|
|
2 |
8 |
|
|
|
|
|
Sep-21 |
|
|
|
|
|
|
|
3 |
9 |
1 |
|
|
|
|
Oct-21 |
|
|
|
|
|
|
|
|
5 |
1 |
|
|
|
|
Nov-21 |
|
|
|
|
|
|
|
1 |
7 |
|
|
|
|
|
Dec-21 |
|
|
|
|
|
|
|
1 |
14 |
|
|
|
|
|
Jan-22 |
|
|
|
1 |
|
|
|
1 |
9 |
|
|
|
|
|
Feb-22 |
|
1 |
|
|
|
|
|
|
7 |
|
|
|
|
|
Mar-22 |
|
|
1 |
|
|
|
|
2 |
3 |
|
|
|
|
|
Apr-22 |
|
|
|
1 |
|
1 |
|
|
9 |
|
|
|
|
|
May-22 |
|
|
|
|
|
|
|
|
11 |
|
|
|
1 |
|
Jun-22 |
|
|
|
|
|
|
2 |
3 |
6 |
|
|
|
|
|
Jul-22 |
|
|
|
|
|
|
|
1 |
9 |
|
|
1 |
|
|
Aug-22 |
|
|
|
|
|
|
|
2 |
8 |
|
|
|
|
|
Sep-22 |
2 |
|
|
|
1 |
|
|
|
8 |
|
|
|
|
|
Oct-22 |
|
|
|
|
|
|
|
1 |
8 |
|
|
|
|
|
Nov-22 |
|
|
|
|
|
|
1 |
1 |
9 |
1 |
1 |
|
|
|
Dec-22 |
|
|
|
|
|
|
|
1 |
11 |
|
|
|
|
|
Jan-23 |
|
|
|
|
|
|
|
|
4 |
|
|
|
|
|
Feb-23 |
|
|
|
|
|
|
|
2 |
5 |
|
1 |
|
|
|
Mar-23 |
|
|
|
|
|
|
1 |
2 |
11 |
|
|
|
|
|
Apr-23 |
|
1 |
|
|
|
1 |
|
|
6 |
|
|
|
|
|
May-23 |
1 |
|
|
|
|
|
|
|
3 |
1 |
|
|
|
|
Jun-23 |
|
|
|
|
|
|
|
1 |
7 |
|
1 |
|
|
|
Jul-23 |
|
|
|
|
|
|
|
|
4 |
|
|
|
|
|
Aug-23 |
|
|
|
|
|
|
|
3 |
12 |
|
|
|
|
|
Sep-23 |
|
|
|
|
|
|
|
1 |
9 |
|
|
|
|
|
Oct-23 |
|
|
|
|
|
|
|
3 |
3 |
1 |
|
|
|
|
Nov-23 |
|
|
|
|
2 |
|
|
1 |
4 |
|
|
|
|
|
Dec-23 |
|
|
|
|
|
|
1 |
2 |
4 |
|
|
|
|
|
Jan-24 |
|
|
|
|
|
|
|
1 |
5 |
|
|
|
|
|
Feb-24 |
|
1 |
|
|
1 |
1 |
|
2 |
4 |
|
|
|
|
|
Mar-24 |
|
|
|
|
|
|
|
1 |
3 |
|
|
|
|
|
Apr-24 |
|
|
1 |
|
|
|
1 |
1 |
7 |
1 |
|
|
|
|
May-24 |
|
|
|
|
|
|
|
3 |
3 |
|
|
|
|
|
Jun-24 |
|
|
|
1 |
|
|
|
2 |
4 |
1 |
|
|
|
|
Jul-24 |
|
|
|
|
|
|
1 |
|
6 |
1 |
|
|
|
|
Aug-24 |
|
|
|
|
|
|
|
1 |
7 |
1 |
1 |
|
|
|
Sep-24 |
|
|
|
|
|
|
|
3 |
2 |
|
|
|
|
|
Oct-24 |
1 |
|
|
|
1 |
|
|
5 |
6 |
|
|
|
|
|
Nov-24 |
|
|
|
|
2 |
|
|
1 |
3 |
|
|
|
|
|
Dec-24 |
|
|
|
|
|
|
|
2 |
4 |
1 |
|
1 |
|
Every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that this 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 may be 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 the data.
The figures provided therefore are our best interpretation of data which has relevance 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.