London Borough Crime Sanction Rates by Offence Group, 2005 Onwards

From 2005/06 onward, this dataset provides the percentage of recorded offences that result in a formal sanction against a suspect, broken down by broad crime groups and London boroughs. The data is published by the Greater London Authority and sourced from the Metropolitan Police, with a last update recorded in July 2026. Caution is advised when comparing sub-groups of crime figures before and after classification changes in April 2012 and during the transition to Action Fraud recording for fraud offences between 2011 and 2013.

Use Cases

• Analyzing trends in sanction detection rates over time based on the time-series nature of the data.
• Comparing policing outcomes across different London boroughs based on the geographic breakdown.
• Investigating the impact of policy changes, such as the 2012 crime classification update, on reported sanction rates.
• Benchmarking performance for specific broad crime groups mentioned in the description.

Strengths

• Data is sourced from the official Metropolitan Police, an authoritative source for London crime statistics.
• The description provides specific cautionary notes about temporal comparability, indicating attention to methodological changes.
• The dataset has a defined license (OGL-UK-3.0) facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description notes breaks in time series comparability due to classification changes, which complicates longitudinal analysis.

Provenance

Source

Greater London Authority, using data from the Metropolitan Police.

Collection Method

Likely compiled from official police recorded crime and sanction statistics.

Time Range

Data spans from at least 2005/06 onward, with noted methodological breaks.

Freshness

Last updated 2026-07-08 13:30:41.145874; freshness should be verified.

Geography

Covers London boroughs.