Theft from a shop or stall data - user feedback

This survey relates to the theft from a shop or stall data published by the Sentencing Council on 17th December 2020.

The Council would be grateful for any users or potential users of this data to respond to the survey by 17th March 2021.

Users’ views will then be considered when developing future datasets for publication, whereupon users’ needs will be balanced alongside the Council’s data protection responsibilities. A summary of the responses received and a response from the Council will be published in 2021, alongside the next publication of data.

The Sentencing Council's privacy notice can be viewed here.

1. For what purpose do you intend to use these statistics?


2. Which audience best describes you?


3. Which of the variables in the theft from a shop or stall datasets (including single most important factor) do you find most useful (i.e. variables that are necessary for your analysis), and why?


4. Which of the variables in the theft from a shop or stall datasets (including single most important factor) do you find least useful (i.e. variables that you could manage without, if needed), and why?


5. Do you have any comments on the possibility of removing some of the variables from the datasets in order for other information to be included (bearing in mind that any decisions will need to balance the risk of identification of individuals)? What types of information would you most like to be included, and why?


6. We are aware that some users may want to utilise statistical software to analyse the data, while others may want to use pivot tables in spreadsheets, or other methods. With this in mind, do you have any comments on the format of the variables?

For example, the level of planning has been provided as a single variable with four levels within it, rather than four individual variables with a binary classification. Additionally, factor variables such as the aggravating and mitigating factors are presented with a binary classification, where ‘1’ represents where the factor was ticked on the form and ‘0’ represents where it was not ticked, as opposed to the name of the factor to indicate the factor being ticked, and a blank cell to indicate it was not ticked (which is the format that was used for the CCSS published data).

Which format would you prefer, or do you have any other suggestions?


7. Alongside the datasets, a metadata document and a user guide have been published. To what extent are they useful, and do you have any suggestions for how they could be improved? Do you have any other comments on these documents?


8. Do you have any other comments or suggestions, not covered by the questions above?


9. So we can better understand how widely these data are useful, which of the following best describes where you are predominantly based?


10. Finally, if you are happy to discuss your response in more detail with us, or would like us to keep you updated with future data publications, please provide contact details (name and email address) in the box below.