JY13M Series Number Plates
UK vehicles during March 2013 to August 2013 with registration prefix JY13M.
- Area Office
- DVLA Region (JY)
- Release Period
- March 2013 to August 2013
- Tracked in Batch
- 8 vehicles
- MOT Pass Rate
- 86.2%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in JY13M Series(8 of 8 displayed)
AUDI TT
2.0L · Petrol · Black
- First Used
- Mar 2015
- MOT Expiry
- 06 Aug 2027
- Tax Status
- —
- Color
- Black
KIA SPORTAGE
1.7L · Diesel · White
- First Used
- Feb 2016
- MOT Expiry
- 28 Aug 2027
- Tax Status
- —
- Color
- White
FORD FIESTA
1.0L · Petrol · Silver
- First Used
- Sep 2016
- MOT Expiry
- 27 Oct 2026
- Tax Status
- —
- Color
- Silver
KIA SPORTAGE PURE
Petrol · White
- First Used
- Dec 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
AUDI A1 S LINE 30 TFSI
Petrol · White
- First Used
- Nov 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
VAUXHALL ASTRA
1.4L · Petrol · Red
- First Used
- Jul 2014
- MOT Expiry
- 21 Oct 2025
- Tax Status
- —
- Color
- Red
VOLKSWAGEN GOLF
1.6L · Diesel · Silver
- First Used
- Jun 2015
- MOT Expiry
- 01 Jul 2027
- Tax Status
- —
- Color
- Silver
BMW 220
2.0L · Diesel · Blue
- First Used
- Nov 2014
- MOT Expiry
- 16 Nov 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JY13M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JY13M Plates
Where was the JY13M number plate series registered?
Vehicles starting with JY13M were assigned to the DVLA regional office covering the UK. The first two letters (JY) identify the memory tag assigned by the DVLA.
What registration period is JY13M?
The JY13M age identifier corresponds to vehicles first registered between March 2013 to August 2013.
How can I check the MOT history of a JY13M 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.