Where was the JG52T number plate registered?

Vehicles with the JG52T prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG52T registration plate released?

The JG52T series was issued during September 2002 to February 2003.

What is the MOT pass rate for JG52T vehicles?

Vehicles in the JG52T cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JG52T Series Number Plates

UK vehicles during September 2002 to February 2003 with registration prefix JG52T.

Area Office: DVLA Region (JG)
Release Period: September 2002 to February 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JG52T Series(2 of 2 displayed)

Filter by 6th Letter:

JG52TES

MOT Valid

BMW X5

3.0L · Diesel · White

First Used: Dec 2010
MOT Expiry: 17 Sep 2026
Tax Status: —
Color: White

Check History & Specs

JG52TOM

MOT Valid

FORD FIESTA

1.6L · Petrol · Black

First Used: Jun 2010
MOT Expiry: 04 Jan 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JG52T Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about JG52T Plates

Where was the JG52T number plate series registered?

Vehicles starting with JG52T 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 JG52T?

The JG52T age identifier corresponds to vehicles first registered between September 2002 to February 2003.

How can I check the MOT history of a JG52T 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.