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Mg Zt: Insurance Risk & MOT Data

Gera Vehicle Risk Index (GVRI) 57/100 High Risk. MOT fail rate 40.2% from 6,562 DVSA MOT tests (2016, OGL v3.0).

What is the insurance and MOT risk for the Mg Zt?

The Mg Zt has a Gera Vehicle Risk Index (GVRI) of 57/100 (High Risk), with a MOT fail rate of 40.2% from 6,562 class-4 DVSA MOT tests in 2016 — above the UK fleet average of 37/100 by 20 index points. Source: DVSA MOT data, OGL v3.0.

Source:DVSA Anonymised MOT Test Results — DfT·as of 2016updated annually (last: )
Gera Vehicle Risk Index57 / 100Mg Zt — High Risk. UK fleet average: 37/100. Source: DVSA MOT 2016, 6,562 tests, OGL v3.0.How this index is calculated
Mg Zt MOT and risk data — DVSA 2016 (OGL v3.0)
MeasureValueContext
Gera Vehicle Risk Index (GVRI)57 / 100High Risk
MOT fail rate40.2%UK avg 25.0%
Total MOT tests6,5622016 dataset
Failed tests2,638= 40.2% of tests
Avg defect severity1.051=standard, 3=dangerous
vs UK fleet GVRI+20 ptsFleet avg 37/100
vs UK fleet fail rate+15.2 ppFleet avg 25.0%

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Mg Zt insurance risk: frequently asked questions

What is the GVRI for the Mg Zt?
The Mg Zt has a Gera Vehicle Risk Index (GVRI) of 57/100 (High Risk), computed from 6,562 DVSA Anonymised MOT class-4 (car) normal tests in 2016. The UK fleet average GVRI is 37/100. A GVRI of 0 = lowest risk; 100 = highest.
What is the MOT fail rate for the Mg Zt?
The Mg Zt MOT fail rate is 40.2% based on 6,562 class-4 normal MOT tests recorded by DVSA in 2016. This means 40.2% of tests resulted in a 'Fail' outcome. The UK class-4 normal test fail rate across the fleet is 25.0%.
Is the Mg Zt a high-risk car to insure?
The GVRI of 57/100 places the Mg Zt in the High Risk band, above the UK fleet average of 37/100. Higher GVRI means higher mechanical defect risk from real MOT data, which correlates with claim risk. However, insurance premiums also depend on driver profile, postcode, NCB, annual mileage, and policy type — the GVRI is one indicator, not a premium quote.
How is the Gera Vehicle Risk Index calculated?
GVRI = 0.6 × MOT_fail_rate + 0.4 × avg_defect_severity_norm, min-max scaled 0–100. MOT fail rate = failed tests ÷ total class-4 normal tests. Defect severity = mean severity of 'F' items per failed test (1 = standard failure, 3 = dangerous item). Full methodology on the GVRI methodology page. Source: DVSA 2016 data, OGL v3.0.

Methodology

The Gera Vehicle Risk Index (GVRI) for the Mg Zt is computed from 6,562 DVSA Anonymised MOT Tests (class-4 normal tests, 2016): GVRI = 0.6 × MOT_fail_rate + 0.4 × avg_defect_severity_norm, min-max scaled to 0–100. Full formula and verification steps are on the GVRI methodology page.

Contains public sector information published by Driver and Vehicle Standards Agency (DVSA) and licensed under the Open Government Licence v3.0. Source: DVSA Anonymised MOT Test Results — DfT (2016, published 2016).