Where was the JR20K number plate registered?

Vehicles with the JR20K prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR20K registration plate released?

The JR20K series was issued during March 2020 to August 2020.

What is the MOT pass rate for JR20K vehicles?

Vehicles in the JR20K cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JR20K Series Number Plates

UK vehicles during March 2020 to August 2020 with registration prefix JR20K.

Area Office: DVLA Region (JR)
Release Period: March 2020 to August 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

CITROEN 50% (1)

SUZUKI 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Black2 vehicles

Active Plates in JR20K Series(2 of 2 displayed)

Filter by 6th Letter:

JR20KGG

MOT Expired

SUZUKI GSXS 1000 S KATANA

1.0L · Petrol · Black

First Used: Jun 2020
MOT Expiry: 19 Mar 2026
Tax Status: —
Color: Black

Check History & Specs

JR20KOP

MOT Valid

CITROEN E-C4 SHINE +

Electric · Black

First Used: Jul 2022
MOT Expiry: 29 Jul 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JR20K Makes

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

CITROEN Common Problems SUZUKI Common Problems

Frequently Asked Questions about JR20K Plates

Where was the JR20K number plate series registered?

Vehicles starting with JR20K 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 JR20K?

The JR20K age identifier corresponds to vehicles first registered between March 2020 to August 2020.

How can I check the MOT history of a JR20K 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.