Where was the UP10J number plate registered?

Vehicles with the UP10J prefix were first registered in the UK through official DVLA regional allocation tag UP.

What year was a UP10J registration plate released?

The UP10J series was issued during March 2010 to August 2010.

What is the MOT pass rate for UP10J vehicles?

Vehicles in the UP10J cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UP10J Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UP10J.

Area Office: DVLA Region (UP)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UP10J Series(2 of 2 displayed)

Filter by 6th Letter:

UP10JAS

MOT Valid

BMW 3 SERIES

3.0L · Diesel · Blue

First Used: Nov 2012
MOT Expiry: 30 Jun 2027
Tax Status: —
Color: Blue

Check History & Specs

UP10JKL

MOT Valid

VOLKSWAGEN UP

1.0L · Petrol · Black

First Used: Nov 2018
MOT Expiry: 29 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UP10J Makes

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

BMW Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UP10J Plates

Where was the UP10J number plate series registered?

Vehicles starting with UP10J 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 UP10J?

The UP10J age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UP10J 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.