Where was the TR70U number plate registered?

Vehicles with the TR70U prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR70U registration plate released?

The TR70U series was issued during September 2020 to February 2021.

What is the MOT pass rate for TR70U vehicles?

Vehicles in the TR70U cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TR70U Series Number Plates

UK vehicles during September 2020 to February 2021 with registration prefix TR70U.

Area Office: DVLA Region (TR)
Release Period: September 2020 to February 2021
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

JAGUAR 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black2 vehicles

Active Plates in TR70U Series(2 of 2 displayed)

Filter by 6th Letter:

TR70UDY

MOT Valid

BMW Z4

2.0L · Petrol · Black

First Used: Sep 2020
MOT Expiry: 22 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

TR70UTS

MOT Valid

JAGUAR I-PACE

Electric · Black

First Used: Sep 2021
MOT Expiry: 13 Sep 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TR70U Makes

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

BMW Common Problems JAGUAR Common Problems

Frequently Asked Questions about TR70U Plates

Where was the TR70U number plate series registered?

Vehicles starting with TR70U were assigned to the DVLA regional office covering the UK. The first two letters (TR) identify the memory tag assigned by the DVLA.

What registration period is TR70U?

The TR70U age identifier corresponds to vehicles first registered between September 2020 to February 2021.

How can I check the MOT history of a TR70U 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.