1986 Porsche 944 — MOT failures & pass rate

The 1986 Porsche 944 passed 78.1% of its 1,698 recorded MOT tests. Coupes & convertibles of a similar age fail 16.1% of the time, so this is 5.7pp worse than the group it competes with. Failures cluster in lighting & signalling, visibility and suspension.

78%
Pass rate
1,698
MOT tests analysed
21.9%
Fail rate
worse than
vs coupes & convertibles of similar age
36.9
Avg age at test (yrs)

What the MOT record shows

Lighting & signalling dominates the failure mix at 12.2% of all tests — 3.9 points clear of visibility, so it is the first thing to check.

At component level the recurring items are washers, component mounting prescribed areas and service brake performance — washers alone was recorded 125 times.

A 150k+ example is materially riskier than a 0-30k one: 26.6% versus 21.7%.

Advisories point at the next bill rather than this one: brakes was flagged on 26.0% of tests without failing them.

The trend is improving — the fail rate fell from 22.7% in 2021 to 19.9% in 2025, as the worst-kept examples leave the fleet.

How it compares

Fail rate vs benchmarks (lower is better) 1986 944 21.9% coupes & convertibles avg 16.1% National avg 20.4%
Fail rate for this model-year against the segment and national averages for cars of a similar age.

Top failure categories

Most common MOT failure areas — 1986 Porsche 944
# Category % of tests affected Tests
1 Lighting & signalling 12.2% 207
2 Visibility 8.2% 140
3 Suspension 7.8% 133
4 Brakes 7.5% 127
5 Emissions & environmental 4.6% 78
6 Body, structure & corrosion 4.6% 78
Share of tests failing on each category Lighting & signalling 12.2% Visibility 8.2% Suspension 7.8% Brakes 7.5% Emissions & environmental 4.6% Body, structure & corrosion 4.6%
Percentage of tests with at least one failure recorded in each category.

Most common specific failures

The exact components most often recorded as failures — more specific than the categories above.

Most frequently recorded failure items — 1986 Porsche 944
#Failure itemTimes recorded
1Washers125
2Component mounting prescribed areas92
3Service brake performance83
4Headlamp aim76
5Rear fog lamp71
6Non catalyst emissions56

Top advisory categories

Advisories aren't failures, but they flag work likely needed soon — useful when budgeting.

Most common MOT advisories — 1986 Porsche 944
# Category % of tests with advisory Tests
1 Brakes 26.0% 442
2 Suspension 22.1% 375
3 Emissions & environmental 19.2% 326
4 Body, structure & corrosion 10.3% 174
5 Tyres 9.8% 167
6 Other defects 8.7% 148

Failure rate by mileage

Higher-mileage cars tend to fail more — often the most useful guide to real condition.

MOT fail rate by recorded mileage 0-30k 21.7% 30-60k 16.4% 60-90k 13.6% 90-120k 22.6% 120-150k 21.2% 150k+ 26.6%
MOT fail rate by recorded mileage band.
Fail rate by recorded mileage — 1986 944
Mileage band Tests Fail rate
0-30k 46 21.7%
30-60k 73 16.4%
60-90k 242 13.6%
90-120k 408 22.6%
120-150k 438 21.2%
150k+ 489 26.6%

Trend over time

Fail rate by dataset year — 1986 944
Dataset year Tests Fail rate
2021 365 22.7%
2022 358 22.9%
2023 341 23.5%
2024 313 19.8%
2025 321 19.9%

What to check before buying a 1986 944

On a 1986 944, lighting & signalling is what the MOT record says goes wrong most — it appeared in 12.2% of tests. Check these areas before you commit.

Repair costs are rough UK ballpark ranges to set expectations, not quotes — actual prices vary widely by car, parts and garage.

Frequently asked questions

How many 1986 Porsche 944s pass their MOT?

78.1% of the 1,698 1986 Porsche 944 MOT tests in this dataset passed — a 21.9% fail rate.

What is the most common MOT failure on a 1986 Porsche 944?

Lighting & signalling, recorded in 12.2% of tests, followed by visibility (8.2%).

Does the 1986 944 get worse with mileage?

Its MOT fail rate rises from 21.7% in the 0-30k band to 26.6% in the 150k+ band.

Methodology & source. Based on 1,698 MOT tests. Dataset: DVSA MOT testing data (2021,2022,2023,2024,2025). Data last updated 2026-07-27. Figures reflect MOT-testable defects only — read the methodology for how these are calculated and what they don't measure.

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