Where was the JG59E number plate registered?

Vehicles with the JG59E prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG59E registration plate released?

The JG59E series was issued during September 2009 to February 2010.

What is the MOT pass rate for JG59E vehicles?

Vehicles in the JG59E cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JG59E Series Number Plates

UK vehicles during September 2009 to February 2010 with registration prefix JG59E.

Area Office: DVLA Region (JG)
Release Period: September 2009 to February 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

BMW 50% (1)

TOYOTA 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in JG59E Series(2 of 2 displayed)

Filter by 6th Letter:

JG59ELG

MOT Valid

TOYOTA RAV-4

2.2L · Diesel · Black

First Used: Dec 2009
MOT Expiry: 01 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

JG59ENT

MOT Valid

BMW 218

1.5L · Petrol · Red

First Used: Sep 2014
MOT Expiry: 22 Sep 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JG59E Makes

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

BMW Common Problems TOYOTA Common Problems

Frequently Asked Questions about JG59E Plates

Where was the JG59E number plate series registered?

Vehicles starting with JG59E were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG59E?

The JG59E age identifier corresponds to vehicles first registered between September 2009 to February 2010.

How can I check the MOT history of a JG59E 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.