Where was the TS19K number plate registered?

Vehicles with the TS19K prefix were first registered in the UK through official DVLA regional allocation tag TS.

What year was a TS19K registration plate released?

The TS19K series was issued during March 2019 to August 2019.

What is the MOT pass rate for TS19K vehicles?

Vehicles in the TS19K cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TS19K Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix TS19K.

Area Office: DVLA Region (TS)
Release Period: March 2019 to August 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

BMW 50% (1)

DACIA 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in TS19K Series(2 of 2 displayed)

Filter by 6th Letter:

TS19KLS

MOT Valid

BMW 218I M SPORT AUTO

1.5L · Petrol · Blue

First Used: Jun 2020
MOT Expiry: 18 Jun 2026
Tax Status: —
Color: Blue

Check History & Specs

TS19KMS

MOT Valid

DACIA DUSTER

1.6L · Petrol · Grey

First Used: Mar 2019
MOT Expiry: 07 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TS19K Makes

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

BMW Common Problems DACIA Common Problems

Frequently Asked Questions about TS19K Plates

Where was the TS19K number plate series registered?

Vehicles starting with TS19K 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 TS19K?

The TS19K age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a TS19K 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.