Nissan Micra — MOT statistics 2024
The Nissan Micra failed 36.12% of 342,234 first MOT attempts in 2024 ("first-time", excluding retests). Adjusted for the age of the fleet, its initial-failure ratio is 112.5 (100 = expected for its age profile). This car fails its MOT about 13% more often than expected for its age.
Age-adjusted peer: Vauxhall Insignia (index 111.3) — the two published results are 1.2 index points apart.
Nissan Micra common problems: what actually fails the MOT
Lamps, reflectors and electrical equipment stand out at 36 per 100 tests, against 23.5 per 100 tests nationally.
higher bar = fails more oftenrate per 100 tests
family vs national — top component groups, per 100 tests. Legend: This family · National avg.
Component-group comparison table
| Group | This family | National | Family / national |
|---|---|---|---|
| Lamps & electrical | 36.0 | 23.5 | 1.53× |
| Suspension | 30.4 | 19.9 | 1.53× |
| Visibility | 14.4 | 12.0 | 1.20× |
| Brakes | 14.3 | 14.3 | 1.00× |
| Body & structure | 10.7 | 8.4 | 1.28× |
| Tyres | 9.5 | 10.3 | 0.93× |
| What failed | per 100 tests (this family) | per 100 tests (UK average) | ratio family / UK | What to check |
|---|---|---|---|---|
| Suspension pin, bush or joint excessively wornA suspension pin, bush or joint excessively worn | 12.18 | 6.03 | 2.02× | Listen for knocks over bumps — worn suspension joints are common |
| Aim of a headlamp is not within limits laid down…The aim of a headlamp is not within limits laid down in the requirements | 6.48 | 2.99 | 2.17× | Try every light and switch — lamps are a top failure |
| Strength or continuity of the load bearing…The strength or continuity of the load bearing structure within 30cm of any sub-frame, spring or suspension component mounting (a 'prescribed area') is significantly reduced or inadequately repaired | 4.68 | 1.56 | 3.00× | Listen for knocks over bumps — worn suspension joints are common |
| Rear registration plate lamp or light source…A rear registration plate lamp or light source missing or inoperative in the case of a single lamp or all lamps | 3.57 | 1.00 | 3.57× | Try every light and switch — lamps are a top failure |
| Headlamp reflector or lens slightly defectiveHeadlamp reflector or lens slightly defective | 4.17 | 1.71 | 2.44× | Try every light and switch — lamps are a top failure |
| Wiper blade missing or obviously not clearing the…Wiper blade missing or obviously not clearing the windscreen | 4.31 | 2.18 | 1.98× | Check wipers, washers and windscreen chips in the driver's view |
| Lamp missing, inoperative or in the case of a…A lamp missing, inoperative or in the case of a multiple light source more than 1/2 not functioning | 4.42 | 2.56 | 1.72× | Try every light and switch — lamps are a top failure |
| Spring or spring component fractured or seriously…A spring or spring component fractured or seriously weakened | 3.93 | 2.72 | 1.45× | Ask the seller about: A spring or spring component fractured or seriously weakened |
| Tyre seriously damagedA tyre seriously damaged | 3.32 | 3.29 | 1.01× | Check tyre tread depth across the full width |
| Tyre tread depth not in accordance with the…Tyre tread depth not in accordance with the requirements | 3.72 | 3.82 | 0.97× | Check tyre tread depth across the full width |
Named defects ranked by how much more often they appear than the national average — not by raw rate.
Nissan Micra MOT advisories: what gets flagged
Suspension is highest at 68.6 per 100 tests; Body & structure are lowest at 8.8 per 100 tests — the gap is 59.8 per 100 tests.
higher bar = flagged more oftenadvisory items per 100 initial tests
Advisory rates table
| Group | Advisories per 100 |
|---|---|
| Suspension | 68.6 |
| Tyres | 55 |
| Brakes | 40.9 |
| Lamps & electrical | 12 |
| Emissions & leaks | 9.2 |
| Body & structure | 8.8 |
Advisories are wear the tester noted but didn't fail — what will need money soon.
How does the Nissan Micra perform as it gets older?
At age 20 stands out at 47.4%, against 37.5% for all cars of the same age.
higher = larger sharecompare shares in percentage points
Chart axes: car age, years · failure-rate scale 0–52%.
Takeaway: a 10-year-old Micra has roughly a 30% chance of failing its MOT; from about age 5 it stays above the national age curve.
Data table
| Age | Nissan Micra | All cars | Gap |
|---|---|---|---|
| 3 | 8.3% | 10.9% | -2.6 pp |
| 4 | 11.6% | 11.6% | -0.0 pp |
| 5 | 16.2% | 13.5% | +2.7 pp |
| 6 | 21.8% | 15.6% | +6.2 pp |
| 7 | 27.5% | 18.2% | +9.3 pp |
| 8 | 24.3% | 21.3% | +3.1 pp |
| 9 | 26.4% | 24.4% | +2.0 pp |
| 10 | 30.2% | 27.7% | +2.5 pp |
| 11 | 32.2% | 30.6% | +1.6 pp |
| 12 | 35.9% | 33.4% | +2.6 pp |
| 13 | 38.1% | 36.0% | +2.0 pp |
| 14 | 39.0% | 38.6% | +0.4 pp |
| 15 | 40.7% | 39.9% | +0.8 pp |
| 16 | 41.2% | 41.5% | -0.2 pp |
| 17 | 44.8% | 41.5% | +3.3 pp |
| 18 | 45.7% | 42.4% | +3.3 pp |
| 19 | 48.5% | 42.2% | +6.4 pp |
| 20 | 47.4% | 37.5% | +9.9 pp |
Is a Nissan Micra ULEZ compliant?
The share of classifiable 2024 Nissan Micra MOT tests likely ULEZ compliant by first-registration date is 74.9%.
Based on 342,218 classifiable initial MOT tests. This describes the tested fleet, not a specific car. MOT data do not record Euro class, so likely compliance is inferred from fuel and first-registration date. For the only authoritative answer, check the registration with TfL's official ULEZ checker.
higher = larger share likely compliantinferred from fuel and first-registration date; not a recorded Euro class
| Vehicle age at test | Likely ULEZ-compliant share | Tests |
|---|---|---|
| Under 3 years | Suppressed — sample below publication threshold Check a registration with TfL | n = 460 |
| 3–5 years | 100.0% Check a registration with TfL | n = 31,415 |
| 6–7 years | 100.0% Check a registration with TfL | n = 31,615 |
| 8 years | 100.0% Check a registration with TfL | n = 13,758 |
| 9 years | 100.0% Check a registration with TfL | n = 16,749 |
| 10–14 years | 98.7% Check a registration with TfL | n = 85,499 |
| 15–17 years | 95.7% Check a registration with TfL | n = 57,130 |
| 18 years | 99.0% Check a registration with TfL | n = 23,494 |
| 19 years | 0.0% Check a registration with TfL | n = 20,386 |
| 20+ years | 0.0% Check a registration with TfL | n = 61,712 |
How dangerous are Nissan Micra MOT failures?
Major defects stand out at 96.5 per 100 tests, against 63.3 per 100 tests nationally.
higher bar = fails more oftenrate per 100 tests
Severity table
| Severity | This family /100 | National /100 | Family / national |
|---|---|---|---|
| Minor | 19.67 | 24.38 | 0.81× |
| Major | 96.45 | 63.26 | 1.52× |
| Dangerous | 11.74 | 12.89 | 0.91× |
Chart values: Minor 19.7 · Major 96.5 · Dangerous 11.7.
Per 100 tests on this family. National average: Minor 24.4 · Major 63.3 · Dangerous 12.9 per 100.
Does the month of a Nissan Micra MOT matter?
Nov is highest at 37.6%; Mar is lowest at 34.4% — the gap is 3.2 percentage points.
higher = larger sharecompare shares in percentage points
Chart scale: 23%–39%.
bars: Nissan Micra · dashed: all class-4 cars
Month-by-month table
| Month | Nissan Micra | All cars | Gap |
|---|---|---|---|
| Jan | 37.02% | 27.37% | +9.7 pp |
| Feb | 36.53% | 26.14% | +10.4 pp |
| Mar | 34.42% | 24.75% | +9.7 pp |
| Apr | 37.59% | 26.01% | +11.6 pp |
| May | 35.98% | 25.01% | +11.0 pp |
| Jun | 35.16% | 25.01% | +10.1 pp |
| Jul | 36.57% | 26.04% | +10.5 pp |
| Aug | 35.16% | 25.79% | +9.4 pp |
| Sep | 34.79% | 25.19% | +9.6 pp |
| Oct | 36.74% | 27.13% | +9.6 pp |
| Nov | 37.59% | 27.2% | +10.4 pp |
| Dec | 36.57% | 26.29% | +10.3 pp |
Takeaway: the spread between best and worst month is 3.2 percentage points — noticeable seasonality. Seasonality partly reflects registration-date clustering, not weather.
Before reading the shape: most of it is not about cars. Britain changes its registration plates twice a year, and 19.5% of these cars were first registered in March with another17% in September — 37% in two months against the 17% an even spread would give. An MOT falls due three years after first registration, so the buying calendar becomes the testing calendar. Peaks here mark when cars are tested, not when they are worse.
Nissan Micra average mileage by age
At age 8, the middle half of Micras runs from 21,108 miles to 47,824 miles, against 32,618 miles as the median.
further right = more milesmedian is the typical car; band is p25–p75
Chart axes: car age, years · odometer scale 0–115k mi.
Does high mileage mean more Nissan Micra MOT failures?
Same age band (6–14 years), split by odometer — this separates wear from age: 19.8% of the lowest-mileage cars failed versus 56.5% of the highest.
| Odometer | % failing | Tests | Gap vs lowest-mileage band |
|---|---|---|---|
| <40k miles | 19.8% | 106,202 | +0.0 pp |
| 40-70k miles | 36.4% | 108,538 | +16.6 pp |
| 70-100k miles | 46.6% | 75,055 | +26.8 pp |
| 100-140k miles | 52.7% | 41,952 | +32.9 pp |
| 140k+ miles | 56.5% | 9,840 | +36.7 pp |
line: median · band: middle half of the fleet (p25–p75)
Mileage by age (p25 / median / p75)
| Age | p25 | Median | p75 | Tests |
|---|---|---|---|---|
| 3 | 10,007 | 15,499 | 22,182 | 10,073 |
| 4 | 13,448 | 20,134 | 28,252 | 9,122 |
| 5 | 17,401 | 26,255 | 35,643 | 12,220 |
| 6 | 24,478 | 34,461 | 46,306 | 14,110 |
| 7 | 25,895 | 37,924 | 51,626 | 17,505 |
| 8 | 21,108 | 32,618 | 47,824 | 13,759 |
| 9 | 26,611 | 40,143 | 57,250 | 16,750 |
| 10 | 29,715 | 44,145 | 63,351 | 18,356 |
| 11 | 33,742 | 49,547 | 68,677 | 15,315 |
| 12 | 38,483 | 55,841 | 76,453 | 14,974 |
| 13 | 42,939 | 61,189 | 82,495 | 16,390 |
| 14 | 48,071 | 70,022 | 94,487 | 20,472 |
| 15 | 48,999 | 72,132 | 98,034 | 20,561 |
| 16 | 54,665 | 77,134 | 102,359 | 18,954 |
| 17 | 55,973 | 77,818 | 102,858 | 17,615 |
| 18 | 61,455 | 84,468 | 109,294 | 23,494 |
| 19 | 61,631 | 83,917 | 107,412 | 20,387 |
| 20+ | 52,030 | 71,612 | 94,311 | 61,717 |
A typical 8-year-old Micra has ~32,618 miles on the clock. Much more — ask why; much less — check for gaps in the MOT history.
Where in Britain the Nissan Micra fails its MOT most
Truro area is highest at 44.6%; Chelmsford area is lowest at 27.2% — the gap is 17.4 percentage points.
higher = larger sharecompare shares in percentage points
| Toughest areas | % failing | vs model overall |
|---|---|---|
| Truro (TR) | 44.56% | +8.4 pp |
| Bristol (BS) | 44.25% | +8.1 pp |
| Bath (BA) | 44.19% | +8.1 pp |
| Brighton (BN) | 44.17% | +8.1 pp |
| Swindon (SN) | 42.99% | +6.9 pp |
| Easiest areas | % failing | vs model overall |
|---|---|---|
| Chelmsford (CM) | 27.21% | -8.9 pp |
| Dudley (DY) | 27.57% | -8.5 pp |
| Harrow (HA) | 28.02% | -8.1 pp |
| Romford (RM) | 28.41% | -7.7 pp |
| Twickenham (TW) | 29.19% | -6.9 pp |
Why do areas differ?
For each external factor we correlate the area fail rate with the factor across postcode areas that have ≥800 tests of this family, then compare the bottom vs top fifth (quintile) of the factor. Correlation, not causation — factors travel together (the north is colder and often poorer; urban areas are denser and less salted). Road surface condition is joined now, for the 91 English areas the DfT publishes, and it explains nothing: the correlation with suspension failures is −0.01 and with body and structure failures 0.07. Potholes wreck wheels and tyres between tests, but by the time a car reaches the bay the road it drives on leaves no measurable trace.
In areas with the highest urban share this model fails 6.3 pp less often than in the lowest fifth (r=-0.47, n=110 areas with ≥800 tests).
In areas with the highest mot centre density this model fails 5.6 pp more often than in the lowest fifth (r=0.41, n=110 areas with ≥800 tests).
In the most coastal fifth of areas this model fails 3.2 pp more often than in the most inland fifth (r=-0.22, n=110 areas with ≥800 tests).
| Factor | Low Q | High Q | Gap | Correlation |
|---|---|---|---|---|
| Urban share | 38.6% | 32.3% | -6.3 pp | r=-0.47 |
| MOT centre density | 33.0% | 38.6% | +5.6 pp | r=0.41 |
| Distance to coast | 38.8% | 35.6% | -3.2 pp | r=-0.22 |
Factors that only mean something combined
Some conditions are useless on their own and informative multiplied together. Frost days alone say little — Britain barely freezes. Salt tonnage alone says little — it tracks frost. Distance to the sea alone says little. Multiply the first two and divide by the third and you get an index of how hard an area attacks a car's underside, and it lines up with the corrosion defects we actually record. We built five such combinations and tested each against our own data. Three survived; two did not, and the failures are listed here on purpose — a proxy that was never checked is decoration. One survivor only survived on the second attempt: built from a crude stand-in for street parking it failed outright, and rebuilt from the census — terraced streets carrying more cars than they have driveways — it works, and carries information the salt index does not.
| Composite | Built from | Tested against | r | Verdict |
|---|---|---|---|---|
| Underbody corrosion | frost days × salt load ÷ (distance to coast + 1) | share of tests with a corrosion defect | +0.42 | holds (116 areas) |
| Tyre wear | rain days × annual miles ÷ age at first tyre advisory | share of tests failing on tyres | +0.45 | holds (116 areas) |
| Overnight corrosion | terraced housing × cars per household × frost days | share with a corrosion defect | +0.41 | holds (102 areas) — and adds signal beyond the first index |
| Deferred maintenance | deprivation × advisory-to-failure conversion ÷ labour rate | cars repeating the same advisory | −0.26 | fails (118 areas) |
| Powertrain stress | engine capacity ÷ kerb weight | suspension, brake and emissions failures | −0.16 | fails (22 models) |
The deprivation result is the one worth dwelling on. The intuition that poorer areas defer repairs is strong enough that most people treat it as established. We tested it twice — once on raw failure rates (r = 0.04) and again, more fairly, on whether an advisory turns into a failure — and it did not hold any of the three times we tried it — on raw failure rates, on advisory-to-failure conversion, and again with deprivation measured properly inside each nation rather than England alone. We are closing it. What does predict local failure rates is the density of test centres, which is a statement about testing, not about cars.
All external-factor correlations (machine-readable)
| Factor | r | n areas | Low-Q fail % | High-Q fail % | Gap pp | Low-Q factor | High-Q factor |
|---|---|---|---|---|---|---|---|
| Urban share (0–1) | -0.470 | 110 | 38.6 | 32.3 | -6.3 | 0.4 | 1 |
| MOT centre density (per 10k vehicles) | 0.409 | 110 | 33.0 | 38.6 | +5.6 | 5 | 8.3 |
| Distance to coast (km) | -0.220 | 110 | 38.8 | 35.6 | -3.2 | 6.2 | 79.2 |
| Income deprivation (score) | -0.188 | 96 | 36.8 | 34.6 | -2.2 | 0.1 | 0.2 |
| Terrain gradient (% grade) | 0.163 | 65 | 35.8 | 38.9 | +3.1 | 0.5 | 3.7 |
| Frost days (days/year) | 0.047 | 110 | 36.9 | 36.2 | -0.7 | 11.6 | 35.7 |
| Road-salt proxy (g/m²-yr) | 0.037 | 110 | 35.8 | 36.4 | +0.5 | 221.2 | 627.5 |
Deprivation uses England IMD 2019 income score only (Scotland SIMD is a different scale). Salt proxy is a simplified NWSRG-style dry-salt sum from air Tmin; coastalness is distance from the area centroid to the nearest coastline.
Every dot is a postcode area — size = how many were tested there, colour = share failing. These figures are not age-adjusted: coastal and rural areas often run older fleets and salted roads, so higher raw fail rates do not automatically mean a worse local stock of this model.
Map labels: Scotland · N. England · Wales · London · S. West. Colour scale: 29%–44% failing.
Nissan Micra survival: which cars are still on the road
By age 19 stands out at 100%, against 100% at the ages 4–6 reference level.
higher = larger sharecompare shares in percentage points
Chart axes: car age, years · survival vs ages 4–6 · scale 0–105%.
Survival vs fail rate by age
| Age | Tests | Survival vs ages 4–6 | Fail % |
|---|---|---|---|
| 3 | 10,073 | 85.2% | 8.29% |
| 4 | 9,122 | 77.2% | 11.55% |
| 5 | 12,220 | 100% | 16.18% |
| 6 | 14,110 | 100% | 21.79% |
| 7 | 17,505 | 100% | 27.51% |
| 8 | 13,759 | 100% | 24.33% |
| 9 | 16,750 | 100% | 26.42% |
| 10 | 18,356 | 100% | 30.2% |
| 11 | 15,315 | 100% | 32.2% |
| 12 | 14,974 | 100% | 35.95% |
| 13 | 16,390 | 100% | 38.09% |
| 14 | 20,472 | 100% | 39.03% |
| 15 | 20,561 | 100% | 40.69% |
| 16 | 18,954 | 100% | 41.22% |
| 17 | 17,615 | 100% | 44.84% |
| 18 | 23,494 | 100% | 45.68% |
| 19 | 20,387 | 100% | 48.55% |
By age 19, only about 100% as many cars of this family present for MOT as at ages 4–6 (reference n≈11,817); survivors still fail at 48.5% vs 11.6% at age 4. Older cars that still appear are a selected subset — weaker ones have already left.
How many miles does a Nissan Micra last?
100,000+ miles is highest at 15.2%; 200,000+ miles is lowest at 0.2% — the gap is 15 percentage points.
higher = larger sharecompare shares in percentage points
| Odometer | Tests ≥ threshold | Share of sample |
|---|---|---|
| 100,000+ miles | 51,792 | 15.16% |
| 150,000+ miles | 6,117 | 1.79% |
| 200,000+ miles | 544 | 0.16% |
Of 341,587 tests of this family with a usable odometer in 2024, 15.2% had reached 100k miles, 1.8% had reached 150k miles, 0.2% had reached 200k miles. This is a cross-section of cars still presenting for MOT, not a full birth cohort.
How many years is a Nissan Micra likely to last?
Bought at age 5 is highest at 14.5 years; Bought at age 15 is lowest at 4.5 years — the gap is 10 years.
bigger number = longer remaining lifeyears on the observed survival curve
| Age now | Typical mileage (p50) | Expected years left |
|---|---|---|
| 5 | 26,255 | 14.5 |
| 8 | 32,618 | 11.5 |
| 10 | 44,145 | 9.5 |
| 12 | 55,841 | 7.5 |
| 15 | 72,132 | 4.5 |
estimateEstimate only — not a warranty: a typical 10-year-old example of this family (~44,145 miles median) has about 9.5 expected years of further MOT-present life on the 2024 survival curve. Derived from how many cars of each age still appear for test, not from a longitudinal panel.
Nissan Micra faults that come together
Body & structure + Emissions & leaks stand out at 9.07×, against 1× if the faults were independent.
above 1.0× = more than expectedbelow 1.0× = less
| Group A | Group B | Together | Lift |
|---|---|---|---|
| Body, chassis, structure | Noise, emissions and leaks | 2,426 | 9.07× |
| Noise, emissions and leaks | Seat belts and supplementary restraint systems | 513 | 6.31× |
| Noise, emissions and leaks | Steering | 567 | 5.99× |
| Identification of the vehicle | Lamps, reflectors and electrical equipment | 603 | 5.89× |
| Lamps, reflectors and electrical equipment | Seat belts and supplementary restraint systems | 2,393 | 5.7× |
| Body, chassis, structure | Seat belts and supplementary restraint systems | 849 | 5.49× |
| Body, chassis, structure | Steering | 968 | 5.38× |
| Lamps, reflectors and electrical equipment | Steering | 2,466 | 5.05× |
Defects in «Body, chassis, structure» and «Noise, emissions and leaks» appear together 9.07× more often than chance (2,426 co-occurrences in the same test; lift≥1.3, n≥500).
Lift = how many times more often both groups appear on the same test than if independent. Thresholds: lift ≥ 1.3, co-occurrences ≥ 300.
Is low mileage better for a Nissan Micra?
Cars driven under 5,000 miles a year stands out at 23.2%, against 40.3% for cars driven 8,000–12,000 miles a year.
higher = larger sharecompare shares in percentage points
| Band | Fail % | Tests |
|---|---|---|
| <5k miles/year | 23.16% | 84,597 |
| 8–12k miles/year | 40.28% | 19,008 |
| Gap (low − normal) | -17.13 pp | — |
By fuel and age
Petrol
| Age | Low-use fail % | n | Normal fail % | n | Gap pp |
|---|---|---|---|---|---|
| 5 | 11.34 | 5,574 | 23.54 | 1,627 | -12.2 pp |
| 6 | 15.52 | 5,175 | 30.52 | 1,976 | -15 pp |
| 7 | 20.97 | 7,424 | 35.96 | 2,369 | -14.99 pp |
| 8 | 20.34 | 8,686 | 38.55 | 1,162 | -18.21 pp |
| 9 | 21.35 | 9,821 | 38.27 | 1,714 | -16.92 pp |
| 10 | 24.57 | 10,748 | 46.45 | 1,914 | -21.88 pp |
| 11 | 26.89 | 8,891 | 42.41 | 1,488 | -15.51 pp |
| 12 | 29.98 | 8,329 | 47.48 | 1,508 | -17.5 pp |
| 13 | 32.29 | 9,031 | 51.21 | 1,576 | -18.92 pp |
| 14 | 31.01 | 9,977 | 51.92 | 2,136 | -20.91 pp |
At matched ages 5–14, cars averaging under 5k miles/year fail at 23.2% vs 40.3% for 8–12k miles/year — 17.1 pp lower (n_low=84,597, n_normal=19,008). In this family low annual use is associated with fewer MOT fails, not more — the ‘garage queen’ penalty is not visible in overall fail rates.
Which Nissan Micra engine is best?
diesel 1.2–1.5 is highest at 115; petrol 1.2–1.5 is lowest at 97.7 — the gap is 17.3 points.
below 100 is betterabove 100 is worse100 = normal for this model at that age
| Fuel | Capacity | vs own age norm | Raw fail % | Tests |
|---|---|---|---|---|
| petrol | 1.2–1.5 litre | 97.7 | 44.39% | 26,671 |
| petrol | 1.0–1.2 litre | 99.8 | 37.96% | 214,911 |
| petrol | under 1.0 litre | 100 | 28.1% | 85,955 |
| petrol | 1.5–1.8 litre | 100.7 | 44.92% | 6,131 |
| diesel | 1.2–1.5 litre | 115 | 38.41% | 8,448 |
Splitting this model by fuel alone hides the thing that actually differs. Within the same badge, the diesel 1.2–1.5 runs at 115 against this model's own age norm while the petrol 1.2–1.5 runs at 97.7 — a spread of 17.3 points between two cars that share a name.
Read this one with more care than the rest of the page. Age is held constant, but who buys which engine is not: the largest capacity in a range is often a performance or executive variant that is garaged, cherished and lightly driven, while the smallest is frequently a fleet or entry car worked hard from new. The gap below is real in the test records; how much of it is the engine and how much is the owner, this data cannot separate. Bands under 5,000 tests are not shown.
Best year for a Nissan Micra, and the years to avoid
Build year 2017 is highest at 113.3; Build year 2020 is lowest at 82.4 — the gap is 30.9 points.
below 100 is betterabove 100 is worse100 = normal for this model at that age
build year vs the same model at the same age · 100 = as expected
Every build year with its confidence interval
| Build year | vs own age norm | 95% CI | Raw fail % | Tests | Verdict |
|---|---|---|---|---|---|
| 2020 | 82.4 | 78.3–86.4 | 10.31% | 15,483 | better |
| 2019 | 87.2 | 84.4–90 | 12.55% | 29,684 | better |
| 2018 | 100.5 | 98.1–102.8 | 16.3% | 44,676 | no different |
| 2017 | 113.3 | 111.4–115.1 | 20.17% | 70,112 | worse |
| 2016 | 100.7 | 98.9–102.4 | 19.61% | 67,620 | no different |
| 2015 | 91.5 | 90.1–92.8 | 20.76% | 81,860 | better |
| 2014 | 93.4 | 92.1–94.6 | 24.1% | 89,162 | better |
| 2013 | 99.7 | 98.3–101 | 28.49% | 72,995 | no different |
| 2012 | 106.6 | 105.3–107.9 | 33.23% | 72,991 | worse |
| 2011 | 100.2 | 99–101.4 | 33.69% | 80,856 | no different |
| 2010 | 101.9 | 100.9–102.9 | 36.82% | 103,435 | worse |
| 2009 | 98 | 97–99 | 37.76% | 104,923 | better |
| 2008 | 94 | 93–94.9 | 38.17% | 97,675 | better |
| 2007 | 98.4 | 97.4–99.3 | 41.88% | 93,520 | better |
| 2006 | 98.7 | 97.9–99.5 | 43.77% | 131,482 | better |
| 2005 | 105.9 | 105.1–106.7 | 48.52% | 126,851 | worse |
| 2004 | 104 | 103–104.9 | 48.84% | 97,959 | worse |
| 2003 | 101.8 | 100.9–102.7 | 48.69% | 95,821 | worse |
| 2002 | 97.1 | 96.1–98.2 | 46.86% | 71,770 | better |
| 2001 | 99.1 | 97.7–100.5 | 48.64% | 39,429 | no different |
| 2000 | 102.2 | 100.4–103.9 | 50.41% | 26,324 | worse |
| 1999 | 98.9 | 96.8–100.9 | 49.13% | 17,919 | no different |
| 1998 | 102 | 98.8–105.1 | 50.89% | 7,815 | no different |
The best build year here is 2020 and the weakest is 2017. Comparing build years sounds simple and is not: within a single year of testing, a car's build year and its age are the same number, so a naive comparison of years is a comparison of ages wearing a disguise. Each year below is measured against the same model at the same age in other cohorts, across six years of testing — 16 of 23 years come out distinguishable from their own model's age norm.
Two limits worth knowing before you act on this. Age, test year and build year are locked together by arithmetic, so the test-year effect is taken from the observed national failure level of each year rather than estimated — it is an adjustment, not a solution.
Nissan Micra MOT repair costs
The MOT-failure repair budget per test runs from £135.12 to £256.73, against £54.85 for the test itself.
bigger number = costs morepounds per test, MOT-failing faults only
| Component | Fails per 100 tests | Typical repair | Its price | Contribution |
|---|---|---|---|---|
| Suspension | 30.4 (nat. 19.9) | Suspension coil spring (single corner) | £180 | £54.72 |
| Lamps, reflectors and electrical equipment | 36.0 (nat. 23.52) | Battery replacement (standard 12V lead-acid) | £140 | £50.40 |
| Brakes | 14.3 (nat. 14.34) | Front brake pads (parts + labour, typical hatchback) | £150 | £21.45 |
| Tyres | 9.5 (nat. 10.27) | Tyre (single mid-range 16" fitted) | £90 | £8.55 |
Multiply how often each component fails on this model by what that repair usually costs, and you get the amount an owner should expect to budget per test for MOT-failing faults only — roughly £135 to £257, on top of the test fee itself. It is a budgeting figure, not a quote: the spread between a set of pads and a set of discs is most of the range.
Prices are modal quotes from a hand-kept catalogue of published UK garage guides — we do not scrape the booking sites, their terms forbid it, so this list is short and updated by hand with a source and date against each line. Each line prices one typical repair in that group, not a full remedy, and only groups our catalogue actually covers are counted. The contrast worth noticing is the second card: the legal maximum for the test has been £54.85 since 2010, while the repairs it uncovers have followed inflation the whole time.
For scale from a different direction: Warrantywise, which sees used-car warranty claims rather than test failures, puts the average claim at £2,052 across the ten highest-claim models it ranks and £539 for Honda, the lowest-claim make in its index (Warrantywise index 2026, 1.6 million claims, cars aged 3–15). Those sit an order of magnitude above the figures in this table, and the gap is the point: a warranty claim is a gearbox or an engine, which almost never fails an MOT, while the faults that do fail one are corrosion, lamps and tyres, which no warranty pays for. The two numbers answer different questions and neither replaces the other.
Nissan Micra running costs for a fleet
Vehicles failing at age 10 stand out at 30%, against 16% at age 5 in the same 100-vehicle fleet.
higher = larger sharecompare shares in percentage points
Failure rate and typical odometer by age
| Age | Fails | Median odometer | Tests | Gap vs age 5 |
|---|---|---|---|---|
| 3 | 8.29% | 15,499 | 10,073 | -7.9 pp |
| 4 | 11.55% | 20,134 | 9,122 | -4.6 pp |
| 5 | 16.18% | 26,255 | 12,220 | +0.0 pp |
| 6 | 21.79% | 34,461 | 14,110 | +5.6 pp |
| 7 | 27.51% | 37,924 | 17,505 | +11.3 pp |
| 8 | 24.33% | 32,618 | 13,759 | +8.1 pp |
| 9 | 26.42% | 40,143 | 16,750 | +10.2 pp |
| 10 | 30.2% | 44,145 | 18,356 | +14.0 pp |
| 11 | 32.2% | 49,547 | 15,315 | +16.0 pp |
| 12 | 35.95% | 55,841 | 14,974 | +19.8 pp |
| 13 | 38.09% | 61,189 | 16,390 | +21.9 pp |
| 14 | 39.03% | 70,022 | 20,472 | +22.9 pp |
| 15 | 40.69% | 72,132 | 20,561 | +24.5 pp |
| 16 | 41.22% | 77,134 | 18,954 | +25.0 pp |
| 17 | 44.84% | 77,818 | 17,615 | +28.7 pp |
| 18 | 45.68% | 84,468 | 23,494 | +29.5 pp |
| 19 | 48.55% | 83,917 | 20,387 | +32.4 pp |
The number a fleet manager needs is not the failure rate, it is the year the car starts costing more. Between age 6 and 7 the failure rate of this model jumps by 5.72 percentage points — the steepest single step in its life, and the natural planning point for replacement.
Repair spend uses the same modal prices as the section above, so it inherits the same limits: one typical repair per component group, not a full remedy. Downtime is the gap between the failed test and the passed re-test, which is the window a vehicle is legally off the road.
Nissan Micra rust problems: where they corrode
Age-standardised corrosion susceptibility stands out at 1×, against 1× for the national age-standardised rate.
above 1.0× = rusts more than averagebelow 1.0× = rusts less
This Nissan Micra fails on corrosion at about the average rate once age is held constant, and its owners live in areas that are gentler than most for the models we publish.
Corrosion is the one failure mode that is as much about geography as about the car. We keep the two apart on purpose: a model can look rusty simply because it is popular in Scotland, and a model can look clean simply because it is bought in Surrey. Blending them into a single score would hide which of the two is doing the work.
Exposure is this model's tests weighted by an area corrosion index built from frost days, salt load and distance to the coast — the composite validated at r = 0.42 against corrosion defects we actually record. It is published as a rank, not a raw score, because every mainstream model skews towards low-corrosion areas for the simple reason that most of Britain's cars are in the south. Susceptibility is standardised to the national age profile, so an old fleet does not get labelled a rusty model.
Does a Nissan Micra advisory become a failure?
Lamps, reflectors and electrical equipment are highest at 28.9%; Identification of the vehicle is lowest at 4.8% — the gap is 24.1 percentage points.
higher = more likelypercentage is the observed transition probability
chance the same component fails at the next MOT, given an advisory now
| Component | Fails next time | Typical lead time | Miles of warning | Advisories tracked |
|---|---|---|---|---|
| Lamps, reflectors and electrical equipment | 28.9% | 12 months | 4,155 | 70,422 |
| Suspension | 20.9% | 12 months | 4,319 | 266,008 |
| Steering | 17.7% | 12 months | 4,356 | 21,049 |
| Body, chassis, structure | 17.1% | 12.1 months | 3,364 | 45,575 |
| Visibility | 15.3% | 12.1 months | 4,528 | 1,362 |
| Brakes | 12.7% | 12 months | 3,676 | 211,152 |
| Seat belts and supplementary restraint systems | 11.6% | 12.1 months | 3,042 | 7,401 |
| Tyres | 9.0% | 12 months | 4,176 | 304,358 |
| Noise, emissions and leaks | 5.9% | 12 months | 4,330 | 67,760 |
| Identification of the vehicle | 4.8% | 12.1 months | 3,836 | 40,348 |
This is the question an advisory note actually raises, and it needs six years of test history to answer. We followed the same vehicles from one MOT to the next across 2019–2024 and measured how often a component that was merely advised came back as a genuine failure at the next test.
Read it as a budgeting horizon, not a prophecy: the most likely component above turns into a failure for about 29 in 100 cars, and the median gap is 12 months and roughly 4,155 miles. The rest were repaired, sold, scrapped, or simply held. Rows with fewer than 500 tracked advisories are not shown.
What will fail next on a Nissan Micra?
Lamps, reflectors and electrical equipment after a failure at age 15-19 are highest at 30.8%; Tyres after a passed at age <3 are lowest at 2.3% — the gap is 28.6 percentage points.
higher = more likelypercentage is the observed transition probability
| Age | Last test | Most likely next failures | Cars tracked |
|---|---|---|---|
| <3 | passed | Visibility 4.5% · Suspension 2.4% · Tyres 2.3% | 26,954 |
| <3 | advisory | Visibility 6.9% | 9,054 |
| 3-5 | passed | Suspension 5.1% · Visibility 4.9% · Brakes 2.6% | 90,974 |
| 3-5 | advisory | Suspension 8.5% · Visibility 7.0% · Tyres 4.7% | 49,449 |
| 3-5 | failure | Suspension 10.0% · Visibility 6.7% · Tyres 5.6% | 29,334 |
| 6-8 | passed | Suspension 6.3% · Brakes 5.3% · Visibility 5.0% | 76,567 |
| 6-8 | advisory | Suspension 9.8% · Brakes 8.3% · Visibility 7.3% | 61,005 |
| 6-8 | failure | Suspension 12.4% · Brakes 9.4% · Visibility 8.8% | 48,553 |
| 9-11 | passed | Suspension 11.2% · Lamps, reflectors and electrical equipment 7.2% · Visibility 5.7% | 78,050 |
| 9-11 | advisory | Suspension 16.0% · Lamps, reflectors and electrical equipment 10.2% · Visibility 8.7% | 61,340 |
| 9-11 | failure | Suspension 19.3% · Lamps, reflectors and electrical equipment 15.0% · Visibility 10.3% | 72,986 |
| 12-14 | passed | Suspension 13.0% · Lamps, reflectors and electrical equipment 12.5% · Visibility 6.1% | 80,817 |
| 12-14 | advisory | Suspension 19.0% · Lamps, reflectors and electrical equipment 18.5% · Visibility 9.7% | 70,871 |
| 12-14 | failure | Lamps, reflectors and electrical equipment 25.1% · Suspension 22.6% · Visibility 11.6% | 103,675 |
| 15-19 | passed | Lamps, reflectors and electrical equipment 16.6% · Suspension 13.3% · Body, chassis, structure 7.0% | 87,375 |
| 15-19 | advisory | Lamps, reflectors and electrical equipment 24.3% · Suspension 19.5% · Visibility 10.2% | 93,351 |
| 15-19 | failure | Lamps, reflectors and electrical equipment 30.8% · Suspension 23.1% · Visibility 12.8% | 150,421 |
| 20+ | passed | Body, chassis, structure 15.7% · Lamps, reflectors and electrical equipment 11.3% · Suspension 10.1% | 22,731 |
| 20+ | advisory | Body, chassis, structure 21.3% · Lamps, reflectors and electrical equipment 17.2% · Suspension 15.9% | 23,961 |
| 20+ | failure | Body, chassis, structure 23.1% · Lamps, reflectors and electrical equipment 22.8% · Suspension 19.2% | 38,601 |
The same chains, cut differently: given a car's age and how its last test went, which component most often causes trouble at the following one.
The pattern that repeats across every family: a failure at one test roughly doubles the chance of a failure on the same component at the next one, and an advisory sits about half-way between a clean pass and a failure. Age bands in years; probabilities are per car, not per defect item.
Nissan Micra ownership: what six years of MOTs show
The ten-day re-test pass rate is highest at 51.0%; The later re-test pass rate is lowest at 2.6% — the gap is 48.4 percentage points.
higher = larger sharecompare shares in percentage points
Failing is usually a same-week event, not a disaster. Of 406,954 failures followed through to their re-test, 46.36% were repaired and passed the same day and 51.04% within ten days; the median gap is 1 day. 1,134,224 defect items were cleared in the process.
Per mile driven, not per year. Dividing failures by the miles that actually went onto the odometers between consecutive tests gives 0.832 failures per 10,000 miles, on a median of 3,241 miles a year across 312,526 chains. This is the number to compare between models — an annual rate quietly rewards cars that barely leave the drive.
Two populations hide inside one model. 32.12% of these cars strung together three or more tests with nothing recorded at all, while 37.01% carried the same advisory three times or more — the same fault, noted, ignored, noted again. When you buy used you are buying one of those two histories, and the MOT record shows which.
Odometer anomalies: 1.231% of 312,782 chains show a reading lower than the previous test, with a median drop of 10,428 miles. We call this an anomaly and not fraud on purpose — instrument swaps, imports, unit mix-ups and keying errors all land in the same bucket. Obvious typos (drops under 100 miles or over 90% of the reading) are already excluded.
Nissan Micra MOT: quick answers
Nissan Micra MOT Risk Index stands out at 112.5, against 100 for a car with the same age profile.
below 100 is betterabove 100 is worse100 = normal for this model at that age
- What is the Nissan Micra first-time MOT pass rate?
- 63.88% of first attempts passed in 2024 (342,234 tests). This is the first-time figure: retests after repair are excluded. Basis: first-time, excluding retests.
- Why does this number differ from other sites?
- Other sites often report a pass rate that includes retests or counts all attempts. Our 36.12% figure is the first-time initial failure rate, using 342,234 primary tests as the denominator (first-time, excluding retests). The age-adjusted MOT initial-failure ratio 112.5 is shown separately because raw rates compare fleet age as well as cars.
Compare the Nissan Micra with other cars
Volkswagen Polo is highest at 114.8; Kia Picanto is lowest at 111 — the gap is 3.8 points.
below 100 is betterabove 100 is worse100 = normal for this model at that age
Same brand
All Nissan MOT statisticsNissan Leaf MOT statsNissan Qashqai MOT stats
Similar risk
Vauxhall Insignia (index 111.3)Kia Picanto (index 111)Volkswagen Polo (index 114.8)
Same size class
how Vauxhall Mokka compareshow Land Rover Range Rover Evoque compareshow Hyundai I10 compares
Data details & how to cite
Scope: class-4 vehicles (cars), initial tests only, outcomes pass / fail / fixed-on-the-spot at the station (PRS counts towards the failure rate — the defect was present at arrival). Index = observed initial failures ÷ failures expected for this fleet's exact age profile, ×100; margin of error is a 95% confidence interval. Covers ALL generations together — a 3-year-old and a 15-year-old are very different cars; a generation split is on the roadmap. Dataset release dataset_release_id=dvsa-2024-v1, frozen baseline; headline claim_id=family-stats:nissan-micra:dvsa-2024-v1. Full method: methodology.
Cite: MOT Risk Index (2026). Nissan Micra MOT statistics 2024 (dvsa-2024-v1). https://motriskindex.co.uk/cars/nissan-micra/ · Published 2026-07-30.