Where was the UP73U number plate registered?

Vehicles with the UP73U prefix were first registered in the UK through official DVLA regional allocation tag UP.

What year was a UP73U registration plate released?

The UP73U series was issued during September 2023 to February 2024.

What is the MOT pass rate for UP73U vehicles?

MOT pass rates for UP73U series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

UP73U Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix UP73U.

Area Office: DVLA Region (UP)
Release Period: September 2023 to February 2024
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

KAWASAKI 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in UP73U Series(2 of 2 displayed)

Filter by 6th Letter:

UP73ULZ

MOT Expired

KAWASAKI KLE 650 JRFAN

Petrol · Grey

First Used: Dec 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

UP73UPM

MOT Expired

VOLKSWAGEN UP GTI

Petrol · Red

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

Check History & Specs

Reliability & Common Problem Guides for UP73U Makes

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

KAWASAKI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UP73U Plates

Where was the UP73U number plate series registered?

Vehicles starting with UP73U were assigned to the DVLA regional office covering the UK. The first two letters (UP) identify the memory tag assigned by the DVLA.

What registration period is UP73U?

The UP73U age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a UP73U 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.