JA02W Series Number Plates
UK vehicles during March 2002 to August 2002 with registration prefix JA02W.
- Area Office
- DVLA Region (JA)
- Release Period
- March 2002 to August 2002
- Tracked in Batch
- 8 vehicles
- MOT Pass Rate
- 73.5%
Average MOT Pass Rate
Based on 34 historical tests
Common Colors
Active Plates in JA02W Series(8 of 8 displayed)
AUDI A7
3.0L · Diesel · Grey
- First Used
- Apr 2015
- MOT Expiry
- 02 Nov 2026
- Tax Status
- —
- Color
- Grey
TOYOTA HILUX
2.4L · Diesel · Black
- First Used
- Mar 2017
- MOT Expiry
- 22 Apr 2026
- Tax Status
- —
- Color
- Black
JAGUAR F-TYPE
5.0L · Petrol · Red
- First Used
- Sep 2013
- MOT Expiry
- 30 Sep 2027
- Tax Status
- —
- Color
- Red
SKODA ENYAQ 85X SPORTLINE +
Electric · Grey
- First Used
- Mar 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
TOYOTA RAV-4
2.2L · Diesel · Silver
- First Used
- Apr 2007
- MOT Expiry
- 11 Dec 2026
- Tax Status
- —
- Color
- Silver
FIAT 500L
1.6L · Diesel · Red
- First Used
- Sep 2013
- MOT Expiry
- 04 Dec 2026
- Tax Status
- —
- Color
- Red
MERCEDES-BENZ C
2.1L · Diesel · Black
- First Used
- Sep 2006
- MOT Expiry
- 08 Sep 2027
- Tax Status
- —
- Color
- Black
AUDI A7
3.0L · Diesel · Grey
- First Used
- May 2014
- MOT Expiry
- 22 Jul 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for JA02W Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JA02W Plates
Where was the JA02W number plate series registered?
Vehicles starting with JA02W were assigned to the DVLA regional office covering the UK. The first two letters (JA) identify the memory tag assigned by the DVLA.
What registration period is JA02W?
The JA02W age identifier corresponds to vehicles first registered between March 2002 to August 2002.
How can I check the MOT history of a JA02W 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.