Crime in GL4: Crime Rate & Statistics 2026
GL4 recorded 1 crimes in March 2026 — a crime rate of 0.02 per 1,000 residents. Weapons Possession accounts for the largest share of crime at 100.0% of all offences recorded. Crime is down 99.7% compared to the same period last year.
Key Statistics
- monitoring61.09 crimes per 1,000 residents annually
- assignment1 crimes recorded in March 2026
- trending_downCrime down 99.7% year-on-year
Total Crimes
1Annual Crime Rate
Active Postcodes
Within GL4 district
Tewkesbury
Estimated population
Interactive Crime Map
District ViewIncident Distribution
Top Locations| Location Reference | Crime Breakdown | Primary Count |
|---|---|---|
| Penhill Road Map | total: 1 Possession of weapons: 1 | 1 |
Crime Breakdown
March 2026Crime Analysis: GL4
Weapons Possession accounts for more than a third of all recorded crime in GL4 (100.0%).
Compared to the same period last year, crime in GL4 has fallen sharply — by 99.7%. The 12-month trend chart above shows where this change is concentrated across individual offence categories.
Crime figures for GL4 are sourced from the Police.uk open data platform and weighted against ONS 2021 Census population estimates to produce comparable per-resident rates. Data is updated monthly, typically 1–2 months after the end of each reporting period.
Expert Safety Insights
Growth Analysis
Data Transparency
Crime rates are calculated per 1,000 residents using ONS Census 2021 population data. Rankings cover all 0 local authorities in England & Wales.
View full methodology arrow_forwardAnalyse a Postcode
Get street-level safety data for any postcode in GL4.
Compare GL4 with other districts
Open ComparatorFollow This Area
Get a free monthly email when new crime data is published for GL4.
add_alert Follow GL4Free · Monthly · No spam
Free Download
PDF Crime Report
- check_circle12-month crime trend analysis
- check_circleCrime type breakdown
- check_circleLocal & national rankings
- check_circleRisk assessment score
Free account required · Instant download
Data Integrity & Scale
Our algorithmic insights use standardized models. Read Methodology