Where was the JG12K number plate registered?

Vehicles with the JG12K prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG12K registration plate released?

The JG12K series was issued during March 2012 to August 2012.

What is the MOT pass rate for JG12K vehicles?

Vehicles in the JG12K cohort demonstrate an average historical MOT pass rate of 100% based on 7 recorded DVSA inspections.

Batch Prefix Hub

JG12K Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix JG12K.

Area Office: DVLA Region (JG)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

JG12K Cohort Statistics

Popular Makes

AUDI 50% (1)

BMW 50% (1)

100%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JG12K Series(2 of 2 displayed)

JG12KEL

MOT Valid

AUDI Q3 TECHNIK 35 TFSI

1.5L · Petrol · Black

First Used: Mar 2021
MOT Expiry: 07 May 2026
Tax Status: —
Color: Black

Check History & Specs

JG12KES

MOT Valid

BMW X2

1.5L · Petrol · White

First Used: Jul 2019
MOT Expiry: 11 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JG12K Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about JG12K Plates

Where was the JG12K number plate series registered?

Vehicles starting with JG12K 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 JG12K?

The JG12K age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a JG12K 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.