JJ57S Series Number Plates
UK vehicles during September 2007 to February 2008 with registration prefix JJ57S.
- Area Office
- DVLA Region (JJ)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 96.3%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in JJ57S Series(7 of 7 displayed)
MERCEDES-BENZ C
1.5L · Hybrid Electric (Clean) · Black
- First Used
- Aug 2020
- MOT Expiry
- 11 Jul 2027
- Tax Status
- —
- Color
- Black
CITROEN C5 X SHINE + PHEV AUTO
1.6L · Hybrid Electric (Clean) · Grey
- First Used
- Feb 2023
- MOT Expiry
- 27 Feb 2027
- Tax Status
- —
- Color
- Grey
AUDI A6 S LINE 50 TDI MHEV QUAT A
3.0L · Diesel · Grey
- First Used
- Jan 2021
- MOT Expiry
- 26 Jan 2027
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ SLK
1.8L · Petrol · Blue
- First Used
- Dec 2007
- MOT Expiry
- 25 Jun 2027
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN GOLF
1.6L · Diesel · Black
- First Used
- Mar 2015
- MOT Expiry
- 26 Dec 2026
- Tax Status
- —
- Color
- Black
BMW 3 SERIES
2.0L · Diesel · Blue
- First Used
- Nov 2007
- MOT Expiry
- 16 Nov 2026
- Tax Status
- —
- Color
- Blue
MERCEDES-BENZ C
2.0L · Petrol · Blue
- First Used
- Nov 2017
- MOT Expiry
- 09 Nov 2026
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for JJ57S Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JJ57S Plates
Where was the JJ57S number plate series registered?
Vehicles starting with JJ57S were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.
What registration period is JJ57S?
The JJ57S age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a JJ57S 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.