Where was the TS69C number plate registered?

Vehicles with the TS69C prefix were first registered in the UK through official DVLA regional allocation tag TS.

What year was a TS69C registration plate released?

The TS69C series was issued during September 2019 to February 2020.

What is the MOT pass rate for TS69C vehicles?

Vehicles in the TS69C cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

TS69C Series Number Plates

UK vehicles during September 2019 to February 2020 with registration prefix TS69C.

Area Office: DVLA Region (TS)
Release Period: September 2019 to February 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

NISSAN 100% (2)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TS69C Series(2 of 2 displayed)

Filter by 6th Letter:

TS69CAB

MOT Valid

NISSAN QASHQAI

1.3L · Petrol · Blue

First Used: Nov 2019
MOT Expiry: 18 May 2027
Tax Status: —
Color: Blue

Check History & Specs

TS69CYS

MOT Expired

NISSAN QASHQAI TEKNA E-POWER AUTO

Hybrid Electric (Clean) · Black

First Used: Apr 2026
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TS69C Makes

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

NISSAN Common Problems

Frequently Asked Questions about TS69C Plates

Where was the TS69C number plate series registered?

Vehicles starting with TS69C were assigned to the DVLA regional office covering the UK. The first two letters (TS) identify the memory tag assigned by the DVLA.

What registration period is TS69C?

The TS69C age identifier corresponds to vehicles first registered between September 2019 to February 2020.

How can I check the MOT history of a TS69C 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.