DVLA verified

1979 SUZUKI GS1000E1.0L Petrol

FMV 321V

Vehicle Insight Summary

Free vehicle summary for FMV 321V: 1979 SUZUKI GS1000E (White, Petrol). Mileage: 83,078. MOT: not recorded. Tax: untaxed.

MOT

Expired

Expires 12/11/2023

Tax

No data

£8.99

Check outstanding finance, stolen records, write-off categories & mileage anomalies.

Instant results • £20,000 data guarantee • Same data source as HPI

Mileage: 83,078
Fuel: Petrol
Year: 1979
Engine: 997cc

Free vehicle health score

/ 100 · Average

Public record health check: Average.

Based on free DVLA & DVSA signals. Premium checks for stolen/finance/write-off history are locked below.

✗ MOT Expired or Failed

! Tax Status Unknown

✓ Exceptional MOT pass rate (100%)

! Older vehicle

A score of 60 doesn't mean it's safe to buy. Private markers don't appear in public data.

Verified Experian Data

Full History Report

Official provenance and safety check for FMV321V

Data provided by Experian

Stolen

Locked

Finance

Locked

Write-off

Locked

Salvage

Locked

Imported

Locked

Exported

Locked

Scrapped

Locked

Destruction

Locked

V5C Logbook

Locked

Premium Vehicle History Data Locked

Unlock the full report to reveal outstanding finance agreements, police stolen markers, insurance write-off categories (Cat A/B/C/D/S/N), mileage anomaly checks, and plate changes.

Instant results • £20,000 data guarantee • Same data source as HPI

Data provided by Experian

Technical Specifications

AI Intelligence

What's this car worth today?

Get an instant, AI-powered valuation based on live market data, this exact model, and recent auction results.

Full MOT History

Live data last synced with DVSA: 15 Apr 2026, 16:56

AI Analysis · MOT Narrative

Our records for this Suzuki Gs1000E (FMV 321V) from 1979 show a total of 2 MOT tests between November 2021 and November 2022.

The vehicle has achieved an overall 100% pass rate, with 2 passes and 0 failures recorded. The car boasts an impressive record, which typically reflects a conscientious ownership history.

AI insights are experimental and can be incorrect. All claims should be manually verified.

PASS

FAIL

ADVISORY