Where was the JF58L number plate registered?

Vehicles with the JF58L prefix were first registered in the UK through official DVLA regional allocation tag JF.

What year was a JF58L registration plate released?

The JF58L series was issued during September 2008 to February 2009.

What is the MOT pass rate for JF58L vehicles?

Vehicles in the JF58L cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JF58L Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix JF58L.

Area Office: DVLA Region (JF)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

JAGUAR 50% (1)

JEEP 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in JF58L Series(2 of 2 displayed)

JF58LAF

MOT Valid

JEEP COMPASS LIMITED CVT

2.4L · Petrol · Grey

First Used: Nov 2012
MOT Expiry: 15 Jul 2026
Tax Status: —
Color: Grey

Check History & Specs

JF58LAN

MOT Expired

JAGUAR F-PACE RDYNAMIC S D MHEV AWD A

Diesel · Red

First Used: Jan 2024
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JF58L Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

JAGUAR Common Problems JEEP Common Problems

Frequently Asked Questions about JF58L Plates

Where was the JF58L number plate series registered?

Vehicles starting with JF58L were assigned to the DVLA regional office covering the UK. The first two letters (JF) identify the memory tag assigned by the DVLA.

What registration period is JF58L?

The JF58L age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a JF58L vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.