Where was the JR22C number plate registered?

Vehicles with the JR22C prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR22C registration plate released?

The JR22C series was issued during March 2022 to August 2022.

What is the MOT pass rate for JR22C vehicles?

Vehicles in the JR22C cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JR22C Series Number Plates

UK vehicles during March 2022 to August 2022 with registration prefix JR22C.

Area Office: DVLA Region (JR)
Release Period: March 2022 to August 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JR22C Series(2 of 2 displayed)

Filter by 6th Letter:

JR22CAF

MOT Valid

BMW 118

1.5L · Petrol · Grey

First Used: Jun 2022
MOT Expiry: 28 Jun 2026
Tax Status: —
Color: Grey

Check History & Specs

JR22COX

MOT Valid

FORD TRANSIT CUSTOM 280LMTD EBLUE A

2.0L · Diesel · Black

First Used: Mar 2022
MOT Expiry: 15 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JR22C 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 JR22C Plates

Where was the JR22C number plate series registered?

Vehicles starting with JR22C were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR22C?

The JR22C age identifier corresponds to vehicles first registered between March 2022 to August 2022.

How can I check the MOT history of a JR22C 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.