Where was the JK12W number plate registered?

Vehicles with the JK12W prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK12W registration plate released?

The JK12W series was issued during March 2012 to August 2012.

What is the MOT pass rate for JK12W vehicles?

Vehicles in the JK12W cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

JK12W Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix JK12W.

Area Office: DVLA Region (JK)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

BMW 50% (1)

VAUXHALL 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JK12W Series(2 of 2 displayed)

JK12WAN

MOT Valid

BMW X3 XDRIVE20D M SPORT MHEV AUTO

2.0L · Electric Diesel · White

First Used: Jul 2022
MOT Expiry: 17 Jul 2027
Tax Status: —
Color: White

Check History & Specs

JK12WAR

MOT Valid

VAUXHALL MOKKA

1.4L · Petrol · Red

First Used: Sep 2019
MOT Expiry: 20 Nov 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JK12W Makes

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

BMW Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JK12W Plates

Where was the JK12W number plate series registered?

Vehicles starting with JK12W 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 JK12W?

The JK12W age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a JK12W 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.