Where was the JK52G number plate registered?

Vehicles with the JK52G prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK52G registration plate released?

The JK52G series was issued during September 2002 to February 2003.

What is the MOT pass rate for JK52G vehicles?

Vehicles in the JK52G cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JK52G Series Number Plates

UK vehicles during September 2002 to February 2003 with registration prefix JK52G.

Area Office: DVLA Region (JK)
Release Period: September 2002 to February 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FIAT 50% (1)

NISSAN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

WHITE1 vehicles

Active Plates in JK52G Series(2 of 2 displayed)

Filter by 6th Letter:

JK52GEM

MOT Valid

NISSAN JUKE

1.5L · Diesel · Grey

First Used: Sep 2014
MOT Expiry: 01 Apr 2027
Tax Status: —
Color: Grey

Check History & Specs

JK52GRY

SORNMOT Valid

FIAT SWIFT

2.3L · DIESEL · WHITE

First Used: Jul 2016
MOT Expiry: 16 Jun 2027
Tax Status: SORN
Color: WHITE

Check History & Specs

Reliability & Common Problem Guides for JK52G Makes

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

FIAT Common Problems NISSAN Common Problems

Frequently Asked Questions about JK52G Plates

Where was the JK52G number plate series registered?

Vehicles starting with JK52G were assigned to the DVLA regional office covering the UK. The first two letters (JK) identify the memory tag assigned by the DVLA.

What registration period is JK52G?

The JK52G age identifier corresponds to vehicles first registered between September 2002 to February 2003.

How can I check the MOT history of a JK52G 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.