Where was the TT19P number plate registered?

Vehicles with the TT19P prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT19P registration plate released?

The TT19P series was issued during March 2019 to August 2019.

What is the MOT pass rate for TT19P vehicles?

Vehicles in the TT19P cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TT19P Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix TT19P.

Area Office: DVLA Region (TT)
Release Period: March 2019 to August 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

FORD 50% (1)

HYUNDAI 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Beige1 vehicles

White1 vehicles

Active Plates in TT19P Series(2 of 2 displayed)

Filter by 6th Letter:

TT19PED

MOT Valid

FORD TRANSIT

2.0L · Diesel · White

First Used: Jul 2019
MOT Expiry: 16 Jul 2027
Tax Status: —
Color: White

Check History & Specs

TT19PLE

MOT Valid

HYUNDAI TUCSON

1.6L · Petrol · Beige

First Used: May 2019
MOT Expiry: 18 Jun 2027
Tax Status: —
Color: Beige

Check History & Specs

Reliability & Common Problem Guides for TT19P Makes

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

FORD Common Problems HYUNDAI Common Problems

Frequently Asked Questions about TT19P Plates

Where was the TT19P number plate series registered?

Vehicles starting with TT19P 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 TT19P?

The TT19P age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a TT19P 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.