Where was the TO66P number plate registered?

Vehicles with the TO66P prefix were first registered in the UK through official DVLA regional allocation tag TO.

What year was a TO66P registration plate released?

The TO66P series was issued during September 2016 to February 2017.

What is the MOT pass rate for TO66P vehicles?

Vehicles in the TO66P cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

TO66P Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix TO66P.

Area Office: DVLA Region (TO)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TO66P Series(2 of 2 displayed)

Filter by 6th Letter:

TO66PAZ

MOT Valid

BMW 118

1.5L · Petrol · White

First Used: Jan 2017
MOT Expiry: 21 Dec 2026
Tax Status: —
Color: White

Check History & Specs

TO66POT

MOT Valid

AUDI TT

2.0L · Petrol · Grey

First Used: Mar 2023
MOT Expiry: 30 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TO66P Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about TO66P Plates

Where was the TO66P number plate series registered?

Vehicles starting with TO66P were assigned to the DVLA regional office covering the UK. The first two letters (TO) identify the memory tag assigned by the DVLA.

What registration period is TO66P?

The TO66P age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a TO66P 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.