Where was the TP16G number plate registered?

Vehicles with the TP16G prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP16G registration plate released?

The TP16G series was issued during March 2016 to August 2016.

What is the MOT pass rate for TP16G vehicles?

Vehicles in the TP16G cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TP16G Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TP16G.

Area Office: DVLA Region (TP)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

TOYOTA 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in TP16G Series(2 of 2 displayed)

Filter by 6th Letter:

TP16GGY

MOT Expired

BMW IX1 XDRIVE 30 M SPORT

Electric · Grey

First Used: Sep 2023
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

TP16GYY

MOT Valid

TOYOTA C-HR

1.8L · Hybrid Electric (Clean) · Blue

First Used: Oct 2018
MOT Expiry: 16 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TP16G Makes

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

BMW Common Problems TOYOTA Common Problems

Frequently Asked Questions about TP16G Plates

Where was the TP16G number plate series registered?

Vehicles starting with TP16G were assigned to the DVLA regional office covering the UK. The first two letters (TP) identify the memory tag assigned by the DVLA.

What registration period is TP16G?

The TP16G age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TP16G 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.