Where was the TC71T number plate registered?

Vehicles with the TC71T prefix were first registered in the UK through official DVLA regional allocation tag TC.

What year was a TC71T registration plate released?

The TC71T series was issued during September 2021 to February 2022.

What is the MOT pass rate for TC71T vehicles?

Vehicles in the TC71T cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

TC71T Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix TC71T.

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

Popular Makes

BMW 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Blue2 vehicles

Active Plates in TC71T Series(2 of 2 displayed)

Filter by 6th Letter:

TC71TFC

MOT Expired

FORD PUMA ST MHEV AUTO

Hybrid Electric (Clean) · Blue

First Used: Apr 2024
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

TC71TMC

MOT Valid

BMW R 1250 RT LE

1.3L · Petrol · Blue

First Used: Sep 2021
MOT Expiry: 31 Aug 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TC71T Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about TC71T Plates

Where was the TC71T number plate series registered?

Vehicles starting with TC71T were assigned to the DVLA regional office covering the UK. The first two letters (TC) identify the memory tag assigned by the DVLA.

What registration period is TC71T?

The TC71T age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a TC71T 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.