Where was the TE71A number plate registered?

Vehicles with the TE71A prefix were first registered in the UK through official DVLA regional allocation tag TE.

What year was a TE71A registration plate released?

The TE71A series was issued during September 2021 to February 2022.

What is the MOT pass rate for TE71A vehicles?

Vehicles in the TE71A cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

TE71A Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix TE71A.

Area Office: DVLA Region (TE)
Release Period: September 2021 to February 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MG 50% (1)

TESLA 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in TE71A Series(2 of 2 displayed)

Filter by 6th Letter:

TE71ACH

MOT Expired

MG ZS SE

Petrol · Grey

First Used: Mar 2026
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

TE71AJS

MOT Valid

TESLA MODEL 3 LONG RANGE AWD

Electric · Blue

First Used: Nov 2021
MOT Expiry: 02 Nov 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TE71A Makes

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

MG Common Problems TESLA Common Problems

Frequently Asked Questions about TE71A Plates

Where was the TE71A number plate series registered?

Vehicles starting with TE71A were assigned to the DVLA regional office covering the UK. The first two letters (TE) identify the memory tag assigned by the DVLA.

What registration period is TE71A?

The TE71A age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a TE71A 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.