Where was the OU76J number plate registered?

Vehicles with the OU76J prefix were first registered in Oxford, South East through official DVLA regional allocation tag OU.

What year was a OU76J registration plate released?

The OU76J series was issued during September 2026 to February 2027.

What is the MOT pass rate for OU76J vehicles?

MOT pass rates for OU76J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

OU76J Series Number Plates

UK vehicles registered in Oxford, South East during September 2026 to February 2027 with registration prefix OU76J.

Area Office: Oxford (Oxford, South East)
Release Period: September 2026 to February 2027
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 100% (2)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in OU76J Series(2 of 2 displayed)

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OU76JHO

MOT Expired

BMW I5 M60 XDRIVE

Electric · Blue

First Used: Sep 2026
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

OU76JKK

MOT Expired

BMW X3 XDRIVE20D M SPORT MHEV AUTO

Hybrid Electric (Clean) · Red

First Used: Sep 2026
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for OU76J Makes

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

BMW Common Problems

Frequently Asked Questions about OU76J Plates

Where was the OU76J number plate series registered?

Vehicles starting with OU76J were assigned to the Oxford covering Oxford, South East. The first two letters (OU) identify the memory tag assigned by the DVLA.

What registration period is OU76J?

The OU76J age identifier corresponds to vehicles first registered between September 2026 to February 2027.

How can I check the MOT history of a OU76J 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.