Where was the JT20L number plate registered?

Vehicles with the JT20L prefix were first registered in the UK through official DVLA regional allocation tag JT.

What year was a JT20L registration plate released?

The JT20L series was issued during March 2020 to August 2020.

What is the MOT pass rate for JT20L vehicles?

Vehicles in the JT20L cohort demonstrate an average historical MOT pass rate of 75% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JT20L Series Number Plates

UK vehicles during March 2020 to August 2020 with registration prefix JT20L.

Area Office: DVLA Region (JT)
Release Period: March 2020 to August 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

DACIA 50% (1)

TOYOTA 50% (1)

75%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Grey2 vehicles

Active Plates in JT20L Series(2 of 2 displayed)

Filter by 6th Letter:

JT20LEY

MOT Valid

DACIA DUSTER

1.3L · Petrol · Grey

First Used: Sep 2020
MOT Expiry: 29 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

JT20LOR

MOT Valid

TOYOTA YARIS EXCEL HEV CVT

1.5L · Hybrid Electric (Clean) · Grey

First Used: Jul 2026
MOT Expiry: 07 Jun 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JT20L Makes

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

DACIA Common Problems TOYOTA Common Problems

Frequently Asked Questions about JT20L Plates

Where was the JT20L number plate series registered?

Vehicles starting with JT20L were assigned to the DVLA regional office covering the UK. The first two letters (JT) identify the memory tag assigned by the DVLA.

What registration period is JT20L?

The JT20L age identifier corresponds to vehicles first registered between March 2020 to August 2020.

How can I check the MOT history of a JT20L 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.