Where was the TG71T number plate registered?

Vehicles with the TG71T prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG71T registration plate released?

The TG71T series was issued during September 2021 to February 2022.

What is the MOT pass rate for TG71T vehicles?

Vehicles in the TG71T cohort demonstrate an average historical MOT pass rate of 66.7% based on 3 recorded DVSA inspections.

Batch Prefix Hub

TG71T Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix TG71T.

Area Office: DVLA Region (TG)
Release Period: September 2021 to February 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 66.7%

Popular Makes

BMW 50% (1)

TESLA 50% (1)

66.7%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

BLACK1 vehicles

RED1 vehicles

Active Plates in TG71T Series(2 of 2 displayed)

TG71TES

TaxedMOT Expired

BMW 118

1.5L · PETROL · BLACK

First Used: Dec 2023
MOT Expiry: —
Tax Status: Taxed
Color: BLACK

Check History & Specs

TG71TEZ

TaxedMOT Valid

TESLA MODEL Y LONG RANGE AWD

ELECTRICITY · RED

First Used: Feb 2022
MOT Expiry: 25 Feb 2027
Tax Status: Taxed
Color: RED

Check History & Specs

Reliability & Common Problem Guides for TG71T Makes

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

BMW Common Problems TESLA Common Problems

Frequently Asked Questions about TG71T Plates

Where was the TG71T number plate series registered?

Vehicles starting with TG71T were assigned to the DVLA regional office covering the UK. The first two letters (TG) identify the memory tag assigned by the DVLA.

What registration period is TG71T?

The TG71T age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a TG71T 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.