Where was the JB72T number plate registered?

Vehicles with the JB72T prefix were first registered in the UK through official DVLA regional allocation tag JB.

What year was a JB72T registration plate released?

The JB72T series was issued during September 2022 to February 2023.

What is the MOT pass rate for JB72T vehicles?

Vehicles in the JB72T cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JB72T Series Number Plates

UK vehicles during September 2022 to February 2023 with registration prefix JB72T.

Area Office: DVLA Region (JB)
Release Period: September 2022 to February 2023
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

SUZUKI 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in JB72T Series(2 of 2 displayed)

JB72TAR

MOT Valid

FORD RANGER

2.0L · Diesel · Grey

First Used: Dec 2022
MOT Expiry: 29 Dec 2026
Tax Status: —
Color: Grey

Check History & Specs

JB72TAY

MOT Valid

SUZUKI IGNIS SZ5 DUALJET MHEV

1.2L · Petrol · Blue

First Used: Oct 2022
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JB72T Makes

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

FORD Common Problems SUZUKI Common Problems

Frequently Asked Questions about JB72T Plates

Where was the JB72T number plate series registered?

Vehicles starting with JB72T were assigned to the DVLA regional office covering the UK. The first two letters (JB) identify the memory tag assigned by the DVLA.

What registration period is JB72T?

The JB72T age identifier corresponds to vehicles first registered between September 2022 to February 2023.

How can I check the MOT history of a JB72T 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.