Where was the TH17H number plate registered?

Vehicles with the TH17H prefix were first registered in the UK through official DVLA regional allocation tag TH.

What year was a TH17H registration plate released?

The TH17H series was issued during March 2017 to August 2017.

What is the MOT pass rate for TH17H vehicles?

Vehicles in the TH17H cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TH17H Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TH17H.

Area Office: DVLA Region (TH)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

DODGE 50% (1)

MERCEDES-BENZ 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in TH17H Series(2 of 2 displayed)

TH17HAN

MOT Valid

MERCEDES-BENZ A-CLASS

1.6L · Petrol · White

First Used: Apr 2017
MOT Expiry: 03 Apr 2027
Tax Status: —
Color: White

Check History & Specs

TH17HAR

MOT Valid

DODGE UNKNOWN

5.7L · Petrol · Silver

First Used: Sep 2017
MOT Expiry: 30 Sep 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TH17H Makes

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

DODGE Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about TH17H Plates

Where was the TH17H number plate series registered?

Vehicles starting with TH17H were assigned to the DVLA regional office covering the UK. The first two letters (TH) identify the memory tag assigned by the DVLA.

What registration period is TH17H?

The TH17H age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TH17H 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.