Audi Q2 2016: MOT failure rate for its age

9.2% of 4,077 MOT tests of the Audi Q2 first registered in 2016 failed at the first attempt (2019–2024; retests excluded). Against this model's own normal rate at the same ages the index is 92.0 (95% CI 82.7–101.3; 100 = normal for this model at that age): the 2016 build year is no different from other years of the same model at the same age.

Audi Q2 built in 2016 at a glance
Measure	Value	Unit	Compared with	Years	Tests
Failed first time	9.2	%	all ages tested	2019–2024	4077
Index against this model at the same age (95% CI 82.7–101.3)	92.0	index	100 = normal for this model at that age	2019–2024	4077
Rank among this model's 5 build years	1	of 5	1 = fails least for its age	2019–2024	4077
Tested in 2024	687	tests	median 57,118 miles	2024	687

Built 2016 against Audi Q2 normal for the age: first-time MOT failure share at each age, age 3: 6.5% vs 8.1%; age 4: 5.9% vs 8.5%; age 5: 7.3% vs 9.4%; age 6: 10% vs 10.9%; age 7: 13.5% vs 11.6%; age 8: 11.8% vs 11.4%. Axis from 0% to 20%. DVSA MOT bulk data, 2019–2024.

Check a 2016 Audi Q2 by registration · All Audi Q2 MOT statistics · Download the build-year table (CSV)

Data release dvsa-2024-v2 (24 Sep 2026) · page updated 30 Sep 2026 · full dataset (v5).

How does the 2016 Audi Q2 fail at each age?

Cars built in 2016 were tested at ages 3 to 8 between 2019 and 2024. Each row compares their first-time failure share with what this model normally shows at that age, after allowing for the overall failure level of each test year.

Audi Q2 built 2016: first-time MOT failure by age, against the model's normal rate at that age (2019–2024)
Age	Tests	Failed, %	95% interval	Normal for this model at that age, %	Index (100 = normal)
3	660	6.5	4.9–8.7	8.1	80.2
4	665	5.9	4.3–7.9	8.5	69.3
5	688	7.3	5.6–9.5	9.4	77.5
6	680	10	8–12.5	10.9	91.7
7	697	13.5	11.1–16.2	11.6	116.3
8	687	11.8	9.6–14.4	11.4	103.5

Source: DVSA MOT bulk data · Window: 2019–2024 · n = 4,077 (initial tests) · Method: normal rate = this model's first-time failure share at that age across its build years (cells of 400+ tests), adjusted for each test year's overall level; cells of 30+ tests, under 500 marked rough · Updated: 30 Sep 2026 · Release: dvsa-2024-v2 · CSV

What fails most on the 2016 Audi Q2?

The most common failure group on cars built in 2016 is tyres: 5.4 items per 100 first tests, against 5.8 across all build years of the Audi Q2. These counts are not age-adjusted: cars built in 2016 were tested at ages 3 to 8.

Failure items per 100 first tests, Audi Q2 built 2016 against the Audi Q2 in all build years (2019–2024, not age-adjusted)
Failure group	Built 2016, per 100	All build years, per 100	Items
Tyres	5.4	5.8	219
Brakes	3.4	2.3	139
Visibility	3	3.1	122
Lamps, reflectors and electrical equipment	1.1	1	45

Source: DVSA MOT bulk data · Window: 2019–2024 · n = 4,077 (initial tests of this build year) · Method: failure items grouped by DVSA's top-level defect groups, per 100 initial tests; groups with 30+ items · Updated: 30 Sep 2026 · Release: dvsa-2024-v2 · CSV

How does 2016 compare with the years around it?

Among the 5 published build years of the Audi Q2, 2016 ranks 1 (1 = fails least for its age). 2017: index 96.1.

Audi Q2 build years: index against the model at the same age (2019–2024)
Build year	Index (100 = normal)	95% interval	Verdict	Tests
2016	92.0	82.7–101.3	no different	4,077
2017	96.1	93.6–98.6	better	63,557
2018	102.5	99.8–105.3	no different	58,515
2019	106.4	103.2–109.6	worse	49,873
2020	115.6	111.2–120.1	worse	29,799

Source: DVSA MOT bulk data · Window: 2019–2024 · n = 205,821 (initial tests) · Method: observed failures against those expected for the same model at the same ages, test-year level adjusted; verdict follows the printed one-decimal bound · Updated: 30 Sep 2026 · Release: dvsa-2024-v2 · CSV

How to cite this page

MOT Risk Index (2026). Audi Q2 2016 MOT statistics (data release dvsa-2024-v2; full dataset motriskindex-families-2024-v5, DOI 10.5281/zenodo.22975051), updated 30 September 2026. motriskindex.co.uk/cars/audi-q2/2016/

How every figure is calculated: methodology. Age, test year and build year are tied together (age = test year − build year), so the test-year level is taken as observed, not estimated.

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