What is the crime rate in Pen Y Fal, Monmouthshire?

As of August 2025, the Pen Y Fal ward has an annual crime rate of 180.83 per 1,000 residents with 35 total recorded incidents in the latest reporting period. This figure is sourced from Police.uk open data and normalised using ONS Census 2021 population estimates for the ward boundary area.

What is the most common crime in the Pen Y Fal ward?

The most common crime in Pen Y Fal is Violence & Sexual Offences with 12 incidents in August 2025, accounting for 34.3% of all crime in the ward. This data is sourced from Police.uk open data and covers all crimes recorded by the local police force within the Pen Y Fal ward boundary.

WD22 Intelligence Updated August 2025Source: Gwent Police Police

Crime in Pen Y Fal, Monmouthshire

Comprehensive safety analysis for Pen Y Fal, localized within Monmouthshire. (Data using latest available police report)

Total Crimes

trending_down -20.5% MoM

Annual Crime Rate

180.83per 1k

trending_down -3.5% 12m Trend

Safety Rating

High Risk

Total Population

1,871

12-Month Crime Trend

Monthly Totals

Safety Heatmap

Crime Categories

Violence & Sexual Offences12

Anti-social Behaviour7

Public Order4

Shoplifting3

Other Theft3

Vehicle Crime2

Criminal Damage & Arson2

Theft from Person1

Other Crime1

Incident Distribution

Location Reference	Primary Incidents	Total
On or near Shopping Area Map	Anti-social behaviour: 4Violence and sexual offences: 3Theft from the person: 1	9
On or near Park Road Map	Shoplifting: 2Public order: 2	4
On or near Willow Close Map	Other theft: 1Vehicle crime: 1Violence and sexual offences: 1	3
On or near Lower Monk Street Map	Violence and sexual offences: 2Criminal damage and arson: 1	3
On or near Parking Area Map	Violence and sexual offences: 2	2
On or near Parking Area Map	Other crime: 1Public order: 1	2
On or near Frogmore Street Map	Other theft: 1Anti-social behaviour: 1	2
On or near Fosterville Crescent Map	Anti-social behaviour: 1Violence and sexual offences: 1	2
On or near Monk Street Map	Other theft: 1Anti-social behaviour: 1	2
On or near Clos Y Pinwydd Map	Violence and sexual offences: 2	2

Expert Safety Insights

Drill Down Deeper

Find Your Specific Street

You are viewing the macro-level average for the Pen Y Fal ward. Enter a specific postcode to get hyper-local street data.

location_on

City Ranking

Safety comparison within Monmouthshire district.

Local Rank

#39safest in Monmouthshire

National Safety

Top 3%Riskiest

City Average

65.94per 1k

Other Wards in Monmouthshire

Osbaston

0.4 ratechevron_right

Llantilio Crossenny

0.3 ratechevron_right

St Kingsmark

4.8 ratechevron_right

Shirenewton

4.8 ratechevron_right

Cantref

3.2 ratechevron_right

St Arvans

3.1 ratechevron_right

Severn

0.9 ratechevron_right

Rogiet

3.2 ratechevron_right

Devauden

7.2 ratechevron_right

Llanbadoc and Usk

3.3 ratechevron_right

Local Policing

Llanover

Gwent Police

local_police

announcement

Local Priorities

Rural crime

Issued: 30 Apr 2026

Status Update

Rural crime tends to fall into one of four categories: agricultural, equine wildlife and heritage.

We’re increasing patrols in areas affected by the issue, and engaging with local landowners and the community to combat it.

Actioned: 30 Apr 2026

Engagement Events

JUL6

Surgery

meeting

Our police surgeries provide you with the opportunity to meet your local neighbourhood policing team and discuss any concerns you have about crime or ant-social behaviour in the community.

schedule

10:00 AM — 12:00 PM

location_on

Usk community hub, maryport st, usk

Verified by Police.uk

notifications

Follow This Area

Get a free monthly email when new crime data is published for Pen Y Fal.

add_alert Follow Pen Y Fal

Free · Monthly · No spam

Free Download

PDF Crime Report

picture_as_pdf

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

verifiedPolice.uk Verified

updateMonthly Sync

Our algorithmic insights use standardized models. Read Methodology