This is a case study for Q1: Suitable data sources
Criminal court statistics
The Ministry of Justice’s criminal court statistics cover the type, volume and timeliness of cases in magistrates’ courts and the Crown Court in England and Wales. Less serious offences like low level theft or traffic violations are handled in magistrates’ courts, while more serious crimes such as robbery or homicide are referred to the Crown Court for sentencing or trial.
Since 2023, all criminal courts in England and Wales have started using Common Platform, a digital administrative system that tracks cases through both magistrates’ and Crown courts. Common Platform is the replacement for previous systems for the Crown Court (Xhibit) and magistrates’ courts (Libra).
Data discrepancies
The Ministry of Justice (MoJ) and HM Courts and Tribunals Service (HMCTS) previously maintained separate versions of the administrative data used for operational oversight, reporting, analysing and modelling Crown Court caseloads in England and Wales. While there are some reasons for differences between the management information produced and published by HMCTS and the MoJ official statistics (including HMCTS needing an earlier run of data prior to full quality assurance and some minor definitional differences), this dual approach often led to confusion for users in understanding which source was best to use and how to interpret the differences.
One Crown: Improving methods and data coherence
To address this issue, MoJ and HMCTS initiated the One Crown data project. The aim of One Crown was to align HMCTS’s and MoJ’s methodologies to create a single dataset and core pipeline for Crown Court data. This dataset could then be used by HMCTS for its management information reporting and by MoJ for official statistics purposes, resulting in greater coherence, transparency and clarity for users. It is a single and unified data source.
Analysts and data engineers from HMCTS and MoJ pooled their knowledge to design a single data model. They worked with operational users of the Common Platform system to understand how data are entered onto the system and processed. This collaboration led to a better shared understanding of the Common Platform and data quality.
As part of building the single dataset, MoJ and HMCTS jointly decided on the methodology and definitions that would be used for key Crown Court metrics. The initial focus was on Crown Court caseloads, including receipts, disposals and the open caseload. The One Crown Steering Group, comprising senior staff from both MoJ and HMCTS across operations, data, analysis and policy, discussed and agreed on 11 definitions focussed on the Crown Court caseloads, often considering a range of alternatives to finalise the methodology. Having common methodologies and definitions has created greater coherence across Crown Court data and made it easier to quality-assure the data.
Communicating the data quality improvement work to users
MoJ has been open and transparent with users about this project. It published a consultation on the changes to the statistics from the One Crown project, which explains the reasoning behind key decisions and clearly sets out the impact on the statistics. By being transparent about their decision-making, methodologies and the impact of changes, MoJ has helped users understand how the quality of the Crown Court statistics has improved. In addition, the consultation gave users an opportunity to share views on the planned changes to the statistics and the next steps for the One Crown project.
Building stronger relationships to improve data for all
The One Crown project represents a significant step towards improving the quality and coherence of Crown Court data. By aligning methodologies and definitions, MoJ and HMCTS have created a more transparent and reliable dataset that benefits all users. MoJ and HMCTS are continuing to work together to further improve the Crown Court data.
One Crown highlights the benefits gained when statistics producers build and maintain strong relationships with data suppliers and the operational areas responsible for running a service. Close collaboration in this way has allowed MoJ statisticians to gain a more comprehensive understanding of the data they receive and improve the quality of their statistical outputs. It has equally highlighted the importance of accurate statistical reporting of the data to those in the operational area.