Where was the TT70U number plate registered?

Vehicles with the TT70U prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT70U registration plate released?

The TT70U series was issued during September 2020 to February 2021.

What is the MOT pass rate for TT70U vehicles?

Vehicles in the TT70U cohort demonstrate an average historical MOT pass rate of 75% based on 4 recorded DVSA inspections.

Batch Prefix Hub

TT70U Series Number Plates

UK vehicles during September 2020 to February 2021 with registration prefix TT70U.

Area Office: DVLA Region (TT)
Release Period: September 2020 to February 2021
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

FORD 100% (2)

75%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in TT70U Series(2 of 2 displayed)

TT70UNA

MOT Valid

FORD TRANSIT CUSTOM 280LIMITD EBLUE

2.0L · Diesel · White

First Used: Dec 2020
MOT Expiry: 31 Aug 2026
Tax Status: —
Color: White

Check History & Specs

TT70UNG

MOT Valid

FORD FOCUS ST-LINE X MHEV AUTO

1.0L · Petrol · Black

First Used: Mar 2023
MOT Expiry: 19 May 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TT70U Makes

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

FORD Common Problems

Frequently Asked Questions about TT70U Plates

Where was the TT70U number plate series registered?

Vehicles starting with TT70U were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.

What registration period is TT70U?

The TT70U age identifier corresponds to vehicles first registered between September 2020 to February 2021.

How can I check the MOT history of a TT70U 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.