Where was the JJ20F number plate registered?

Vehicles with the JJ20F prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ20F registration plate released?

The JJ20F series was issued during March 2020 to August 2020.

What is the MOT pass rate for JJ20F vehicles?

Vehicles in the JJ20F cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JJ20F Series Number Plates

UK vehicles during March 2020 to August 2020 with registration prefix JJ20F.

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

Popular Makes

BMW 50% (1)

MINI 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

BLACK1 vehicles

White1 vehicles

Active Plates in JJ20F Series(2 of 2 displayed)

Filter by 6th Letter:

JJ20FEB

TaxedMOT Valid

MINI COOPER

1.5L · PETROL · BLACK

First Used: Apr 2022
MOT Expiry: 22 Mar 2027
Tax Status: Taxed
Color: BLACK

Check History & Specs

JJ20FUN

TaxedMOT Valid

BMW Z4

2.0L · Petrol · White

First Used: Jul 2020
MOT Expiry: 01 Jul 2027
Tax Status: Taxed
Color: White

Check History & Specs

Reliability & Common Problem Guides for JJ20F Makes

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

BMW Common Problems MINI Common Problems

Frequently Asked Questions about JJ20F Plates

Where was the JJ20F number plate series registered?

Vehicles starting with JJ20F were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ20F?

The JJ20F age identifier corresponds to vehicles first registered between March 2020 to August 2020.

How can I check the MOT history of a JJ20F 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.