Where was the JD20F number plate registered?

Vehicles with the JD20F prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD20F registration plate released?

The JD20F series was issued during March 2020 to August 2020.

What is the MOT pass rate for JD20F vehicles?

Vehicles in the JD20F cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JD20F Series Number Plates

UK vehicles during March 2020 to August 2020 with registration prefix JD20F.

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

Popular Makes

AUDI 50% (1)

NISSAN 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JD20F Series(2 of 2 displayed)

Filter by 6th Letter:

JD20FEB

MOT Valid

NISSAN LEAF

Electric · Black

First Used: Oct 2021
MOT Expiry: 25 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

JD20FLY

MOT Valid

AUDI A1 SPORT 25 TFSI S-A

1.0L · Petrol · White

First Used: Feb 2021
MOT Expiry: 01 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JD20F Makes

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

AUDI Common Problems NISSAN Common Problems

Frequently Asked Questions about JD20F Plates

Where was the JD20F number plate series registered?

Vehicles starting with JD20F were assigned to the DVLA regional office covering the UK. The first two letters (JD) identify the memory tag assigned by the DVLA.

What registration period is JD20F?

The JD20F age identifier corresponds to vehicles first registered between March 2020 to August 2020.

How can I check the MOT history of a JD20F 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.