Nissan Elgrand — MOT statistics 2024
The Nissan Elgrand failed 31.96% of 13,301 first MOT attempts in 2024 ("first-time", excluding retests). Adjusted for the age of the fleet, its initial-failure ratio is 92.8 (100 = expected for its age profile). This car fails its MOT about 7% less often than expected for its age.
Age-adjusted peer: Toyota Corolla (index 92.7) — the two published results are 0.1 index points apart.
Nissan Elgrand common problems: what actually fails the MOT
Suspension stands out at 30.4 per 100 tests, against 22.6 per 100 tests across UK vehicles of the same ages.
higher bar = fails more oftenrate per 100 tests
family vs national — matched to UK vehicles of the same ages — top component groups, per 100 tests. Legend: This family · National avg. Combined labels: family / national average. A gap here reflects how these vehicles are driven, used and maintained as well as how they were built — an MOT defect is a test outcome, not a breakdown.
Component-group comparison table
Each ratio carries a 95% interval. With 6 groups compared here, roughly one apparent difference in twenty is chance alone, and 1 of these is already inside an interval that includes 1.00×.
| Group | This family | Cases behind it | UK, same ages | Family / national |
|---|---|---|---|---|
| Lamps & electrical | 30.9 | 19,134 | 27.3 | 1.13×1.12–1.15 |
| Suspension | 30.4 | 18,824 | 22.6 | 1.34×1.32–1.36 |
| Brakes | 14.8 | 9,159 | 16.9 | 0.87×0.86–0.89 |
| Tyres | 9.1 | 5,632 | 9.3 | 0.98×0.95–1.00 · not distinguishable |
| Body & structure | 8.0 | 4,958 | 9.5 | 0.84×0.82–0.86 |
| Visibility | 7.1 | 4,374 | 9.9 | 0.72×0.69–0.74 |
| What failed | per 100 tests (this family) | per 100 tests (UK average) | ratio family / UK | What to check |
|---|---|---|---|---|
| Suspension joint dust cover severely deterioratedA suspension joint dust cover severely deteriorated | 8.19 | 1.90 | 4.30× | Listen for knocks over bumps — worn joints show up on the test |
| Suspension joint dust cover missing or no longer…A suspension joint dust cover missing or no longer prevents the ingress of dirt etc | 6.51 | 1.78 | 3.65× | Listen for knocks over bumps — worn joints show up on the test |
| Obligatory rear fog lamp missing, or a front or…An obligatory rear fog lamp missing, or a front or rear fog lamp inoperative or in the case of a multiple light source more than 1/2 not functioning | 5.14 | 0.43 | 12.07× | Try every light and switch — lamps are a top failure |
| Suspension pin, bush or joint excessively wornA suspension pin, bush or joint excessively worn | 8.49 | 4.87 | 1.74× | Listen for knocks over bumps — worn joints show up on the test |
| Headlamp reflector or lens slightly defectiveHeadlamp reflector or lens slightly defective | 3.54 | 1.09 | 3.24× | Try every light and switch — lamps are a top failure |
| Brake lining or pad worn below 1.5mma brake lining or pad worn below 1.5mm | 4.00 | 2.15 | 1.86× | Feel for brake judder and pulling on the test drive |
| Transmission shaft constant velocity joint boot…A transmission shaft constant velocity joint boot missing or no longer prevents the ingress of dirt etc | 2.87 | 1.56 | 1.84× | Ask the seller about: A transmission shaft constant velocity joint boot missing or |
| 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 | 3.10 | 2.09 | 1.48× | Try every light and switch — lamps are a top failure |
| Aim of a headlamp is not within limits laid down…The aim of a headlamp is not within limits laid down in the requirements | 3.06 | 2.57 | 1.19× | Try every light and switch — lamps are a top failure |
| Tyre tread depth not in accordance with the…Tyre tread depth not in accordance with the requirements | 3.66 | 3.59 | 1.02× | 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 Elgrand MOT advisories: what gets flagged
Brakes are highest at 36.0 per 100 tests; Emissions & leaks are lowest at 3.5 per 100 tests — the gap is 32.5 per 100 tests.
higher bar = flagged more oftenadvisory items per 100 initial tests
Advisory rates table
| Group | Advisories per 100 |
|---|---|
| Brakes | 36 |
| Tyres | 35.3 |
| Suspension | 27.6 |
| Non-component advisories | 6.9 |
| Body & structure | 3.6 |
| Emissions & leaks | 3.5 |
Advisories are wear the tester noted but didn't fail — what will need money soon.
Tyres, brakes and suspension: Nissan Elgrand against cars of the same age
| Age | Part | Nissan Elgrand | Same age, petrol and diesel | Difference |
|---|---|---|---|---|
| 3 years | Tyres | 6.58 | 4.17 | 2.41 |
| 3 years | Brakes | 8.81 | 1.77 | 7.04 |
| 3 years | Suspension | 17.93 | 0.63 | 17.30 |
| 4 years | Tyres | 7.6 | 4.54 | 3.06 |
| 4 years | Brakes | 9.79 | 2.43 | 7.36 |
| 4 years | Suspension | 18.72 | 1.21 | 17.51 |
| 5 years | Tyres | 7.59 | 5.06 | 2.53 |
| 5 years | Brakes | 11.11 | 3.09 | 8.02 |
| 5 years | Suspension | 19.53 | 2.19 | 17.34 |
| 6 years | Tyres | 8.32 | 5.54 | 2.78 |
| 6 years | Brakes | 11.01 | 3.81 | 7.20 |
| 6 years | Suspension | 20.67 | 3.72 | 16.95 |
| 7 years | Tyres | 6.77 | 5.95 | 0.82 |
| 7 years | Brakes | 11.94 | 4.55 | 7.39 |
| 7 years | Suspension | 24.22 | 5.68 | 18.54 |
| 8 years | Tyres | 6.38 | 6.31 | 0.07 |
| 8 years | Brakes | 12.76 | 5.38 | 7.38 |
| 8 years | Suspension | 21.89 | 7.78 | 14.11 |
Failing items per 100 initial tests, 2019-2024. The comparison group is every petrol or diesel car tested at the same age, so weight and drivetrain show up rather than fleet age.
If a car like this fails, does it fail again?
A failure rate does not say whether a failure is a one-off or the start of something. This follows the same vehicles into their next ordinary MOT a year later — retests after a repair are excluded, because they follow a failure by definition. 2019-2024.
| After this year's test | Fails next year | Vehicles followed |
|---|---|---|
| It failed | 30.9% | 4,211 |
| It passed | 30.0% | 28,563 |
A failed test does not clearly change next year's odds here (30.9% against 30.0%): the difference is within the margin of error. The failure most likely to come back is road wheels — 32.7% of those vehicles fail again next year. Some of this is the vehicle and some is the owner: a car that was let go once tends to be let go again. One caveat: a car that fails may be sold or scrapped rather than tested again, so these figures describe the vehicles that came back.
Adjusted for how much these are actually driven
The headline index adjusts for the fleet's age. Wear, though, follows mileage: a three-year-old taxi and a three-year-old garage queen sit in the same age band. These two rows compare every car with vehicles of the same age, and then with vehicles of the same age and the same annual mileage, 2019-2024, on 60,390 tests. Both stand on the six-year corpus so they are measured on identical data — compare them with each other, not with the headline index above, which is measured on 2024 alone.
| Standardised for | Index | Reading |
|---|---|---|
| Age only | 88.8 | fails less often than expected |
| Age and annual mileage | 85.6 | fails less often than vehicles driven as much |
| Share doing under 3,000 miles a year | 6.6% | a normal spread of use |
Mileage changes little here (-3.2 points): this fleet is driven about as much as the vehicles it is compared with. One limit to keep in mind: mileage is partly a result of how often a car breaks down — one that spends weeks in the workshop covers fewer miles — so the mileage-matched figure can understate a real weakness. Tests with no usable odometer reading are left out of it.
How the Nissan Elgrand compares with cars of its own age and size
Not against the whole fleet — against cars of the same size class tested at the same age, 2019-2024.
| Age | Nissan Elgrand | Same class, same age | Difference | Tests |
|---|---|---|---|---|
| 3 years | 32.27% | 10.73% | +21.53 pp | 2,281 |
| 4 years | 35% | 12.3% | +22.7 pp | 2,420 |
| 5 years | 37.89% | 14.12% | +23.77 pp | 2,386 |
| 6 years | 39.99% | 16.04% | +23.95 pp | 2,308 |
| 7 years | 41.37% | 18.21% | +23.17 pp | 2,052 |
| 8 years | 38.42% | 20.51% | +17.9 pp | 1,489 |
| 9 years | 37.4% | 23.08% | +14.32 pp | 1,075 |
| 10 years | 31.89% | 25.59% | +6.31 pp | 1,066 |
| 11 years | 25.57% | 28.23% | -2.66 pp | 1,756 |
| 12 years | 24.02% | 30.58% | -6.55 pp | 2,406 |
| 13 years | 25.07% | 32.66% | -7.59 pp | 3,758 |
| 14 years | 26.53% | 34.63% | -8.1 pp | 4,980 |
| 15 years | 27.99% | 36.09% | -8.1 pp | 6,134 |
| 16 years | 29.42% | 37.15% | -7.72 pp | 6,339 |
| 17 years | 30.81% | 37.52% | -6.7 pp | 5,702 |
| 18 years | 31.97% | 37.88% | -5.91 pp | 4,051 |
| 19 years | 33.71% | 37.47% | -3.76 pp | 2,649 |
| 20 years | 41.44% | 36.94% | +4.5 pp | 1,793 |
Raw first-time failure rates within each age, so fleet age cannot flatter either side. A positive difference means this model fails more often than its own class at that age.
How does the Nissan Elgrand perform as it gets older?
The Elgrand at age 4 stands out at 36.1%, against 13.1% for all vehicles of the same age.
higher = larger sharecompare shares in percentage points
Chart axes: car age, years · failure-rate scale 0–47%.
Takeaway: solid line: this family; dashed: all cars.
Data table
| Age | Nissan Elgrand | All vehicles | Gap |
|---|---|---|---|
| 3 | 33.0% | 12.4% | +20.5 pp |
| 4 | 36.1% | 13.1% | +23.0 pp |
| 5 | 33.3% | 15.1% | +18.1 pp |
| 6 | 38.0% | 17.5% | +20.5 pp |
| 7 | 39.7% | 20.2% | +19.5 pp |
| 8 | 41.6% | 23.3% | +18.2 pp |
| 9 | 38.0% | 26.5% | +11.4 pp |
| 10 | 32.7% | 30.1% | +2.6 pp |
| 11 | 27.0% | 33.2% | -6.2 pp |
| 12 | 20.8% | 35.7% | -14.9 pp |
| 13 | 24.2% | 38.2% | -14.0 pp |
| 14 | 22.5% | 40.4% | -17.9 pp |
| 15 | 26.4% | 41.6% | -15.2 pp |
| 16 | 28.8% | 43.1% | -14.3 pp |
| 17 | 28.9% | 43.1% | -14.2 pp |
| 18 | 31.3% | 43.9% | -12.6 pp |
| 19 | 30.5% | 43.5% | -13.0 pp |
| 20 | 35.8% | 41.0% | -5.2 pp |
Is a Nissan Elgrand ULEZ compliant?
The share of classifiable 2024 Nissan Elgrand MOT tests likely ULEZ compliant by first-registration date is 78.7%.
Based on 12,541 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 = 15 |
| 3–5 years | 100.0% Check a registration with TfL | n = 1,629 |
| 6–7 years | 100.0% Check a registration with TfL | n = 1,098 |
| 8 years | 100.0% Check a registration with TfL | n = 516 |
| 9 years | Suppressed — sample below publication threshold Check a registration with TfL | n = 426 |
| 10–14 years | 91.5% Check a registration with TfL | n = 2,111 |
| 15–17 years | 95.1% Check a registration with TfL | n = 3,454 |
| 18 years | 99.0% Check a registration with TfL | n = 984 |
| 19 years | 0.0% Check a registration with TfL | n = 1,050 |
| 20+ years | 0.0% Check a registration with TfL | n = 1,258 |
How dangerous are Nissan Elgrand MOT failures?
Major defects stand out at 72.5 per 100 tests, against 52.8 per 100 tests nationally.
higher bar = fails more oftenrate per 100 tests
Severity table
| Severity | This family /100 | National /100 | Family / national |
|---|---|---|---|
| Minor | 24.93 | 14.22 | 1.75× |
| Major | 72.46 | 52.75 | 1.37× |
| Dangerous | 14.50 | 11.15 | 1.30× |
Chart values: Minor 24.9 · Major 72.5 · Dangerous 14.5.
Per 100 tests on this family. National average: Minor 14.2 · Major 52.8 · Dangerous 11.2 per 100.
Does the month of a Nissan Elgrand MOT matter?
Apr is highest at 34.5%; Jul is lowest at 30.8% — the gap is 3.7 percentage points.
higher = larger sharecompare shares in percentage points
Chart scale: 27%–36%.
bars: Nissan Elgrand · dashed: all class-4 cars
Month-by-month table
| Month | Nissan Elgrand | All vehicles | Gap |
|---|---|---|---|
| Jan | 31.7% | 31.12% | +0.6 pp |
| Feb | 32.11% | 29.99% | +2.1 pp |
| Mar | 31.78% | 28.26% | +3.5 pp |
| Apr | 34.54% | 29.78% | +4.8 pp |
| May | 31.8% | 28.79% | +3.0 pp |
| Jun | 31.21% | 28.15% | +3.1 pp |
| Jul | 30.84% | 29.33% | +1.5 pp |
| Aug | 31.42% | 29.2% | +2.2 pp |
| Sep | 31.2% | 28.19% | +3.0 pp |
| Oct | 30.95% | 30.34% | +0.6 pp |
| Nov | 33.22% | 30.58% | +2.6 pp |
| Dec | 32.94% | 29.33% | +3.6 pp |
Takeaway: the spread between best and worst month is 3.7 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 18.9% of these cars were first registered in March with another17.1% in September — 36% 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. That shapes how many cars are tested each month — not how often they fail: the busiest months here are not the worst ones, so read the failure line on its own and the volume behind it separately.
Nissan Elgrand average mileage by age
At age 8, the middle half of Elgrands runs from 85,300 miles to 130,780 miles, against 105,402 miles as the median.
further right = more milesmedian is the typical car; band is p25–p75
Chart axes: car age, years · odometer scale 0–145k mi.
Does high mileage mean more Nissan Elgrand MOT failures at the same age?
Within the same age group, split by odometer (2024 MOTs), so this separates wear from age: at ages 15+, 19.1% of those with under 40,000 miles failed first time versus 44.7% of those with over 140,000 miles.Inside this age group, higher mileage goes with more failures.
| Age | Odometer | % failing | 95% interval | Tests |
|---|---|---|---|---|
| 3–5 | 40-70k miles | 26.4% | 22.2–31% | 387 (rough estimate) |
| 3–5 | 70-100k miles | 35.2% | 31.7–38.9% | 679 |
| 3–5 | 100-140k miles | 37.9% | 33.3–42.7% | 409 (rough estimate) |
| 3–5 | 140k+ miles | 44.8% | 36.4–53.5% | 125 (rough estimate) |
| 6–9 | 40-70k miles | 35.2% | 29.7–41.2% | 264 (rough estimate) |
| 6–9 | 70-100k miles | 36.4% | 32.8–40.2% | 640 |
| 6–9 | 100-140k miles | 40.1% | 36.5–43.7% | 711 |
| 6–9 | 140k+ miles | 48.6% | 43.7–53.5% | 395 (rough estimate) |
| 10–14 | <40k miles | 5.6% | 2.6–11.6% | 108 (rough estimate) |
| 10–14 | 40-70k miles | 15.4% | 12.8–18.5% | 628 |
| 10–14 | 70-100k miles | 21.8% | 18.9–24.9% | 735 |
| 10–14 | 100-140k miles | 35.6% | 31.1–40.3% | 416 (rough estimate) |
| 10–14 | 140k+ miles | 46.7% | 40.4–53.2% | 229 (rough estimate) |
| 15+ | <40k miles | 19.1% | 15.5–23.3% | 387 (rough estimate) |
| 15+ | 40-70k miles | 23.2% | 21.5–25% | 2,169 |
| 15+ | 70-100k miles | 31.8% | 30–33.6% | 2,519 |
| 15+ | 100-140k miles | 38.6% | 35.9–41.4% | 1,201 |
| 15+ | 140k+ miles | 44.7% | 40.3–49.2% | 481 (rough estimate) |
line: median · band: middle half of the fleet (p25–p75)
Mileage by age (p25 / median / p75)
| Age | p25 | Median | p75 | Tests |
|---|---|---|---|---|
| 3 | 67,258 | 81,633 | 101,474 | 537 |
| 4 | 69,168 | 88,351 | 108,050 | 584 |
| 5 | 71,751 | 88,824 | 112,281 | 517 |
| 6 | 76,196 | 94,683 | 116,848 | 458 |
| 7 | 79,555 | 102,817 | 130,189 | 652 |
| 8 | 85,300 | 105,402 | 130,780 | 522 |
| 9 | 83,573 | 108,847 | 138,005 | 432 |
| 10 | 76,441 | 104,851 | 134,797 | 266 |
| 11 | 61,676 | 83,001 | 117,206 | 289 |
| 12 | 60,341 | 77,220 | 104,954 | 327 |
| 13 | 67,075 | 82,514 | 103,933 | 475 |
| 14 | 60,618 | 78,059 | 97,702 | 763 |
| 15 | 60,109 | 75,684 | 95,083 | 656 |
| 16 | 62,168 | 76,070 | 96,408 | 1,434 |
| 17 | 59,403 | 77,755 | 97,705 | 1,375 |
| 18 | 57,733 | 74,663 | 94,311 | 985 |
| 19 | 60,931 | 80,370 | 101,998 | 1,059 |
| 20+ | 64,543 | 85,143 | 113,021 | 1,267 |
A typical 8-year-old Elgrand has ~105,402 miles on the clock. Much more — ask why; much less — check for gaps in the MOT history.
Where in Britain the Nissan Elgrand fails its MOT most
Brighton area is highest at 52.0%; Bradford area is lowest at 10.2% — the gap is 41.9 percentage points.
higher = larger sharecompare shares in percentage points
| Toughest areas | % failing | vs model overall |
|---|---|---|
| Brighton (BN) | 52.04% | +20.1 pp |
| Torquay (TQ) | 50.22% | +18.3 pp |
| Truro (TR) | 49.21% | +17.3 pp |
| Bath (BA) | 48.85% | +17.0 pp |
| Bournemouth (BH) | 48.4% | +16.5 pp |
| Easiest areas | % failing | vs model overall |
|---|---|---|
| Bradford (BD) | 10.19% | -21.7 pp |
| Ilford (IG) | 14.98% | -16.9 pp |
| Wigan (WN) | 15.84% | -16.1 pp |
| Uxbridge (UB) | 16.94% | -14.9 pp |
| Dudley (DY) | 16.96% | -14.9 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 income deprivation this model fails 22.5 pp less often than in the lowest fifth (r=-0.60, n=17 areas with ≥800 tests).
In areas with the highest frost days this model fails 25.2 pp less often than in the lowest fifth (r=-0.53, n=21 areas with ≥800 tests).
In areas with the highest road-salt proxy this model fails 17.6 pp less often than in the lowest fifth (r=-0.50, n=21 areas with ≥800 tests).
| Factor | Low Q | High Q | Gap | Correlation |
|---|---|---|---|---|
| Income deprivation | 43.0% | 20.5% | -22.5 pp | r=-0.60 |
| Frost days | 45.4% | 20.2% | -25.2 pp | r=-0.53 |
| Road-salt proxy | 37.8% | 20.2% | -17.6 pp | r=-0.50 |
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 |
|---|---|---|---|---|---|---|---|
| Income deprivation (score) | -0.598 | 17 | 43.0 | 20.5 | -22.5 | 0.1 | 0.2 |
| Frost days (days/year) | -0.532 | 21 | 45.4 | 20.2 | -25.2 | 10.5 | 33.5 |
| Road-salt proxy (g/m²-yr) | -0.504 | 21 | 37.8 | 20.2 | -17.6 | 208.5 | 588 |
| Urban share (0–1) | -0.466 | 21 | 37.6 | 18.5 | -19.1 | 0.5 | 0.9 |
| Distance to coast (km) | -0.394 | 21 | 41.9 | 27.8 | -14.1 | 6.1 | 84.5 |
| MOT centre density (per 10k vehicles) | 0.232 | 21 | 25.9 | 34.9 | +9.0 | 5.7 | 8.1 |
| Terrain gradient (% grade) | 0.065 | 13 | 25.9 | 22.9 | -3.0 | 1 | 4 |
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: 17%–48% failing.
Nissan Elgrand survival: which cars are still on the road
By age 19 is close to the reference at 100.0%, against 100.0% 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 | 2,281 | 96.2% | 32.27% |
| 4 | 2,420 | 100% | 35% |
| 5 | 2,386 | 100% | 37.89% |
| 6 | 2,308 | 97.3% | 39.99% |
| 7 | 2,052 | 86.5% | 41.37% |
| 8 | 1,489 | 62.8% | 38.42% |
| 9 | 1,075 | 45.3% | 37.4% |
| 10 | 1,066 | 45% | 31.89% |
| 11 | 1,756 | 74.1% | 25.57% |
| 12 | 2,406 | 100% | 24.02% |
| 13 | 3,758 | 100% | 25.07% |
| 14 | 4,980 | 100% | 26.53% |
| 15 | 6,134 | 100% | 27.99% |
| 16 | 6,339 | 100% | 29.42% |
| 17 | 5,702 | 100% | 30.81% |
| 18 | 4,051 | 100% | 31.97% |
| 19 | 2,649 | 100% | 33.71% |
By age 19, at least as many cars of this family present for MOT as at ages 4–6 (reference n≈2,371): the older fleet has not thinned out here, so there is no survivor selection to allow for.
How many miles does a Nissan Elgrand last?
100,000+ miles is highest at 40.3%; 200,000+ miles is lowest at 2.0% — the gap is 38.3 percentage points.
higher = larger sharecompare shares in percentage points
| Odometer | Tests ≥ threshold | Share of sample |
|---|---|---|
| 100,000+ miles | 24,889 | 40.32% |
| 150,000+ miles | 6,611 | 10.71% |
| 200,000+ miles | 1,256 | 2.03% |
Of 61,732 tests of this family with a usable odometer in 2024, 40.3% had reached 100k miles, 10.7% had reached 150k miles, 2.0% 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 Elgrand likely to last?
Bought at age 10 is highest at 19.9 years; Bought at age 15 is lowest at 4.5 years — the gap is 15.4 years.
bigger number = longer remaining lifeyears on the observed survival curve
| Age now | Typical mileage (p50) | Expected years left |
|---|---|---|
| 5 | — | at least 12.6 |
| 8 | — | at least 15.9 |
| 10 | — | at least 19.9 |
| 12 | — | at least 7.5 |
| 15 | — | at least 4.5 |
estimateEstimate only — not a warranty: a typical 10-year-old example of this family has at least 19.9 expected years of further MOT-present life. The curve is observed only until age 19, so the true figure is likely higher.
Nissan Elgrand faults that come together
Emissions & leaks + Road Wheels stand out at 5.25×, against 1.00× if the faults were independent.
above 1.0× = more than expectedbelow 1.0× = less
| Group A | Group B | Together | Lift |
|---|---|---|---|
| Noise, emissions and leaks | Road Wheels | 40 | 5.25× (rough estimate) |
| Road Wheels | Tyres | 65 | 4.48× (rough estimate) |
| Brakes | Seat belts and supplementary restraint systems | 250 | 4.45× (rough estimate) |
| Noise, emissions and leaks | Seat belts and supplementary restraint systems | 87 | 4.42× (rough estimate) |
| Road Wheels | Visibility | 62 | 4.27× (rough estimate) |
| Body, chassis, structure | Road Wheels | 57 | 4.18× (rough estimate) |
| Body, chassis, structure | Seat belts and supplementary restraint systems | 147 | 4.17× (rough estimate) |
| Body, chassis, structure | Noise, emissions and leaks | 413 | 3.98× (rough estimate) |
| Brakes | Road Wheels | 86 | 3.96× (rough estimate) |
| Brakes | Noise, emissions and leaks | 627 | 3.79× |
| Seat belts and supplementary restraint systems | Steering | 84 | 3.66× (rough estimate) |
| Lamps, reflectors and electrical equipment | Seat belts and supplementary restraint systems | 410 | 3.59× (rough estimate) |
| Seat belts and supplementary restraint systems | Visibility | 132 | 3.52× (rough estimate) |
| Identification of the vehicle | Lamps, reflectors and electrical equipment | 93 | 3.42× (rough estimate) |
| Road Wheels | Steering | 30 | 3.38× (rough estimate) |
| Lamps, reflectors and electrical equipment | Road Wheels | 149 | 3.37× (rough estimate) |
| Identification of the vehicle | Visibility | 30 | 3.36× (rough estimate) |
| Steering | Suspension | 1,228 | 3.3× |
| Noise, emissions and leaks | Steering | 220 | 3.26× (rough estimate) |
| Brakes | Identification of the vehicle | 43 | 3.22× (rough estimate) |
| Seat belts and supplementary restraint systems | Suspension | 336 | 3.1× (rough estimate) |
| Body, chassis, structure | Identification of the vehicle | 26 | 3.1× (rough estimate) |
| Brakes | Tyres | 973 | 3.09× |
| Body, chassis, structure | Brakes | 912 | 3.08× |
| Body, chassis, structure | Steering | 371 | 3.07× (rough estimate) |
| Noise, emissions and leaks | Visibility | 338 | 3.06× (rough estimate) |
| Brakes | Steering | 584 | 3.03× |
| Road Wheels | Suspension | 127 | 3.03× (rough estimate) |
| Identification of the vehicle | Tyres | 27 | 3.03× (rough estimate) |
| Identification of the vehicle | Suspension | 77 | 2.99× (rough estimate) |
| Brakes | Visibility | 938 | 2.98× |
| Lamps, reflectors and electrical equipment | Noise, emissions and leaks | 986 | 2.93× |
| Lamps, reflectors and electrical equipment | Visibility | 1,871 | 2.92× |
| Brakes | Lamps, reflectors and electrical equipment | 2,722 | 2.84× |
| Tyres | Visibility | 587 | 2.79× |
| Body, chassis, structure | Visibility | 551 | 2.79× |
| Steering | Visibility | 353 | 2.74× (rough estimate) |
| Brakes | Suspension | 2,463 | 2.71× |
| Seat belts and supplementary restraint systems | Tyres | 100 | 2.67× (rough estimate) |
| Noise, emissions and leaks | Tyres | 290 | 2.63× (rough estimate) |
| Body, chassis, structure | Suspension | 1,479 | 2.59× |
| Lamps, reflectors and electrical equipment | Tyres | 1,653 | 2.58× |
| Body, chassis, structure | Lamps, reflectors and electrical equipment | 1,552 | 2.58× |
| Lamps, reflectors and electrical equipment | Steering | 1,010 | 2.57× |
| Noise, emissions and leaks | Suspension | 799 | 2.51× |
| Lamps, reflectors and electrical equipment | Suspension | 4,465 | 2.41× |
| Suspension | Visibility | 1,423 | 2.34× |
| Suspension | Tyres | 1,407 | 2.32× |
| Body, chassis, structure | Tyres | 459 | 2.32× (rough estimate) |
| Steering | Tyres | 285 | 2.22× (rough estimate) |
| Identification of the vehicle | Noise, emissions and leaks | 15 | too few (rough estimate) |
| Identification of the vehicle | Steering | 11 | too few (rough estimate) |
| Road Wheels | Seat belts and supplementary restraint systems | 10 | too few (rough estimate) |
| Speedometer and speed limiter | Suspension | 9 | too few (rough estimate) |
| Identification of the vehicle | Seat belts and supplementary restraint systems | 8 | too few (rough estimate) |
| Lamps, reflectors and electrical equipment | Speedometer and speed limiter | 7 | too few (rough estimate) |
| Brakes | Speedometer and speed limiter | 6 | too few (rough estimate) |
| Body, chassis, structure | Speedometer and speed limiter | 5 | too few (rough estimate) |
| Lamps, reflectors and electrical equipment | Seat belt installation check | 5 | too few (rough estimate) |
Defects in «Brakes» and «Noise, emissions and leaks» appear together 3.79× more often than chance (627 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. A pair is listed from 5 tests with both faults; the lift is shown from 20, and called above chance only when its 95% interval excludes 1 (see rough estimates).
Is low mileage better for a Nissan Elgrand?
Cars driven under 5,000 miles a year is well below the reference at 17.5%, against 33.6% for cars driven 8,000–12,000 miles a year.
higher = larger sharecompare shares in percentage points
| Band | Fail % | Tests |
|---|---|---|
| <5k miles/year | 17.47% | 2,271 |
| 8–12k miles/year | 33.59% | 2,189 |
| Gap (low − normal) | -16.13 pp | — |
By fuel and age
Petrol
| Age | Low-use fail % | n | Normal fail % | n | Gap pp |
|---|---|---|---|---|---|
| 9 | 22.86 | 35 | 32.66 | 349 | -9.81 pp |
| 10 | 11.94 | 67 | 27.66 | 329 | -15.72 pp |
| 11 | 14.07 | 199 | 23.38 | 479 | -9.31 pp |
| 12 | 11.65 | 352 | 25.76 | 629 | -14.11 pp |
| 13 | 17.2 | 814 | 28.54 | 890 | -11.34 pp |
| 14 | 17.45 | 1,438 | 32.58 | 979 | -15.13 pp |
At matched ages 5–14, cars averaging under 5k miles/year fail at 17.5% vs 33.6% for 8–12k miles/year — 16.1 pp lower (n_low=2,271, n_normal=2,189). 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 Elgrand engine is best?
diesel over 2.0 is highest at 135.4; petrol 1.8–2.0 is lowest at 86.3 — the gap is 49.1 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 | 1.8–2.0 litre | 86.3 | 26.32% | 171 (rough estimate) |
| petrol | over 2.0 litre | 96.9 | 30.34% | 55,372 |
| diesel | over 2.0 litre | 135.4 | 47.98% | 4,312 (rough estimate) |
Splitting this model by fuel alone hides the thing that actually differs. Within the same badge, the diesel over 2.0 runs at 135.4 against this model's own age norm while the petrol 1.8–2.0 runs at 86.3 — a spread of 49.1 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 100 tests are not shown; bands under 5,000 tests are rough estimates.
Best year for a Nissan Elgrand, and the years to avoid
Build year 2000 is highest at 135.9; Build year 2014 is lowest at 90.8 — the gap is 45.1 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 | 105.3 | 95.2–115.4 | 34.13% | 1,213 | no different |
| 2019 | 94.2 | 86.1–102.2 | 31.83% | 1,646 | no different |
| 2018 | 102.3 | 94.9–109.6 | 36.04% | 2,045 | no different |
| 2017 | 102.5 | 96.4–108.6 | 38.72% | 2,810 | no different |
| 2016 | 105 | 98.3–111.6 | 41.04% | 2,361 | no different |
| 2015 | 104.6 | 97.3–111.9 | 40.99% | 1,903 | no different |
| 2014 | 90.8 | 80.1–101.4 | 35.62% | 786 | no different |
| 2013 | 100.6 | 84.1–117.2 | 38.59% | 368 | no different |
| 2012 | 99.7 | 82.6–116.9 | 27.72% | 469 | no different |
| 2011 | 102.4 | 89–115.7 | 24.46% | 924 | no different |
| 2010 | 94.2 | 85.8–102.7 | 23.16% | 2,055 | no different |
| 2009 | 104.1 | 95.2–112.9 | 26.65% | 2,000 | no different |
| 2008 | 98.9 | 93.4–104.4 | 26.55% | 4,621 | no different |
| 2007 | 97.9 | 93–102.7 | 27.12% | 5,726 | no different |
| 2006 | 98.3 | 93–103.6 | 28.22% | 4,688 | no different |
| 2005 | 99.5 | 95–104 | 29.34% | 6,503 | no different |
| 2004 | 100.7 | 95.3–106 | 30.94% | 4,393 | no different |
| 2003 | 112.9 | 106.2–119.7 | 35.76% | 2,973 | worse |
| 2002 | 112.1 | 104.2–119.9 | 36.55% | 2,134 | worse |
| 2001 | 122.2 | 102.8–141.6 | 40.53% | 375 | worse |
| 2000 | 135.9 | 116.6–155.3 | 46.91% | 405 | worse |
The best build year here is 2002 and the weakest is 2000. 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 — 4 of 21 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 Elgrand MOT repair costs
The MOT-failure repair budget per test runs from £128.37 to £243.90, 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. 15.36) | Suspension coil spring (single corner) | £180 | £54.72 |
| Lamps, reflectors and electrical equipment | 30.9 (nat. 18.09) | Battery replacement (standard 12V lead-acid) | £140 | £43.26 |
| Brakes | 14.8 (nat. 11.25) | Front brake pads (parts + labour, typical hatchback) | £150 | £22.20 |
| Tyres | 9.1 (nat. 8.7) | Tyre (single mid-range 16" fitted) | £90 | £8.19 |
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 £128 to £244, 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 Elgrand running costs for a fleet
Vehicles failing at age 10 are close to the reference at 33.0%, against 33.0% at age 5, tested in the same year.
higher = larger sharecompare shares in percentage points
Failure rate and typical odometer by age
| Age | Fails | Median odometer | Tests | Gap vs age 5 |
|---|---|---|---|---|
| 3 | 32.96% | 81,633 | 537 | -0.3 pp |
| 4 | 36.13% | 88,351 | 584 | +2.9 pp |
| 5 | 33.27% | 88,824 | 517 | +0.0 pp |
| 6 | 37.99% | 94,683 | 458 | +4.7 pp |
| 7 | 39.72% | 102,817 | 652 | +6.4 pp |
| 8 | 41.57% | 105,402 | 522 | +8.3 pp |
| 9 | 37.96% | 108,847 | 432 | +4.7 pp |
| 10 | 32.71% | 104,851 | 266 | -0.6 pp |
| 11 | 26.99% | 83,001 | 289 | -6.3 pp |
| 12 | 20.8% | 77,220 | 327 | -12.5 pp |
| 13 | 24.21% | 82,514 | 475 | -9.1 pp |
| 14 | 22.54% | 78,059 | 763 | -10.7 pp |
| 15 | 26.37% | 75,684 | 656 | -6.9 pp |
| 16 | 28.8% | 76,070 | 1,434 | -4.5 pp |
| 17 | 28.95% | 77,755 | 1,375 | -4.3 pp |
| 18 | 31.27% | 74,663 | 985 | -2.0 pp |
| 19 | 30.5% | 80,370 | 1,059 | -2.8 pp |
No single year stands out as the point where this model starts costing more: the year-to-year steps in its failure rate are too small or rest on too few tests to name one (D1 rule: a step is named only with at least 2,000 tests on both sides and a jump above 3 percentage points).
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 Elgrand rust problems: where they corrode
Age-standardised corrosion susceptibility stands out at 1.82×, against 1.00× for the national age-standardised rate.
above 1.0× = rusts more than averagebelow 1.0× = rusts less
This Nissan Elgrand fails on corrosion far more often than average once age is held constant, and its owners live in areas that are saltier 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 Elgrand advisory become a failure?
Lamps, reflectors and electrical equipment are highest at 30.4%; Non-component advisories are lowest at 0.0% — the gap is 30.4 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 | 30.4% | 12 months | 5,598 | 970 |
| Suspension | 27.1% | 12.1 months | 5,075 | 7,036 |
| Body, chassis, structure | 17.8% | 12.1 months | 4,024 | 1,102 |
| Brakes | 14.5% | 12.1 months | 5,058 | 9,611 |
| Noise, emissions and leaks | 10.5% | 12.2 months | 4,125 | 1,348 |
| Tyres | 10.1% | 12.1 months | 5,854 | 8,683 |
| Steering | 10.0% | 12 months | 5,718 | 1,071 |
| Non-component advisories | 0.0% | — | — | 2,672 |
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 30 in 100 cars, and the median gap is 12 months and roughly 5,598 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 Elgrand?
Lamps, reflectors and electrical equipment after a failure at age 20+ are highest at 31.2%; Tyres after a passed at age unknown are lowest at 4.2% — the gap is 27.1 percentage points.
higher = more likelypercentage is the observed transition probability
| Age | Last test | Most likely next failures | Cars tracked |
|---|---|---|---|
| <3 | passed | Lamps, reflectors and electrical equipment 14.5% · Suspension 13.5% · Brakes 6.6% | 1,802 |
| <3 | advisory | Lamps, reflectors and electrical equipment 18.9% · Suspension 18.1% · Brakes 10.2% | 1,060 |
| <3 | failure | Lamps, reflectors and electrical equipment 22.1% · Suspension 20.6% · Brakes 10.4% | 1,232 |
| 3-5 | passed | Lamps, reflectors and electrical equipment 15.8% · Suspension 15.6% · Brakes 9.0% | 1,713 |
| 3-5 | advisory | Suspension 22.9% · Lamps, reflectors and electrical equipment 22.4% · Brakes 10.6% | 1,569 |
| 3-5 | failure | Lamps, reflectors and electrical equipment 27.2% · Suspension 24.6% · Brakes 12.1% | 1,903 |
| 6-8 | passed | Suspension 16.7% · Lamps, reflectors and electrical equipment 16.5% · Brakes 9.7% | 983 |
| 6-8 | advisory | Lamps, reflectors and electrical equipment 25.8% · Suspension 21.4% · Brakes 14.5% | 1,026 |
| 6-8 | failure | Lamps, reflectors and electrical equipment 28.7% · Suspension 27.2% · Brakes 14.6% | 1,451 |
| 9-11 | passed | Lamps, reflectors and electrical equipment 11.5% · Suspension 9.9% · Brakes 5.3% | 1,684 |
| 9-11 | advisory | Lamps, reflectors and electrical equipment 21.0% · Suspension 19.9% · Brakes 13.6% | 609 |
| 9-11 | failure | Suspension 23.1% · Lamps, reflectors and electrical equipment 21.4% · Brakes 13.4% | 888 |
| 12-14 | passed | Lamps, reflectors and electrical equipment 12.8% · Suspension 12.8% · Brakes 5.8% | 5,457 |
| 12-14 | advisory | Lamps, reflectors and electrical equipment 19.4% · Suspension 18.8% · Brakes 10.1% | 1,899 |
| 12-14 | failure | Lamps, reflectors and electrical equipment 22.5% · Suspension 20.1% · Brakes 11.4% | 2,706 |
| 15-19 | passed | Suspension 14.2% · Lamps, reflectors and electrical equipment 13.2% · Brakes 5.9% | 7,694 |
| 15-19 | advisory | Lamps, reflectors and electrical equipment 21.5% · Suspension 21.2% · Brakes 10.5% | 3,985 |
| 15-19 | failure | Lamps, reflectors and electrical equipment 24.4% · Suspension 22.2% · Brakes 11.4% | 5,460 |
| 20+ | passed | Suspension 20.7% · Lamps, reflectors and electrical equipment 18.2% · Brakes 13.8% | 658 |
| 20+ | advisory | Suspension 25.6% · Lamps, reflectors and electrical equipment 24.9% · Brakes 16.9% | 692 |
| 20+ | failure | Lamps, reflectors and electrical equipment 31.2% · Suspension 28.2% · Brakes 21.5% | 1,188 |
| unknown | passed | Suspension 14.4% · Lamps, reflectors and electrical equipment 14.1% · Tyres 4.2% | 312 (rough estimate) |
| unknown | advisory | Lamps, reflectors and electrical equipment 13.3% · Suspension 11.1% · Visibility 11.1% | 45 (rough estimate) |
| unknown | failure | Lamps, reflectors and electrical equipment 20.5% · Suspension 13.9% · Noise, emissions and leaks 9.0% | 122 (rough estimate) |
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 Elgrand ownership: what six years of MOTs show
The ten-day re-test pass rate is highest at 67.5%; The later re-test pass rate is lowest at 8.6% — the gap is 58.9 percentage points.
higher = larger sharecompare shares in percentage points
Failing is usually a same-week event, not a disaster. Of 14,139 failures followed through to their re-test, 23.98% were repaired and passed the same day and 67.46% within ten days; the median gap is 2 days. 41,837 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 0.473 failures per 10,000 miles, on a median of 4,662 miles a year across 13,378 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. 33.74% of these cars strung together three or more tests with nothing recorded at all, while 24.64% 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: 41.67% of 13,535 chains show a reading lower than the previous test, with a median drop of 38,472 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 Elgrand MOT: quick answers
Nissan Elgrand MOT Risk Index is well below the reference at 92.8, 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 Elgrand first-time MOT pass rate?
- 68.04% of first attempts passed in 2024 (13,301 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 31.96% figure is the first-time initial failure rate, using 13,301 primary tests as the denominator (first-time, excluding retests). The age-adjusted MOT initial-failure ratio 92.8 is shown separately because raw rates compare fleet age as well as cars.
Compare the Nissan Elgrand with other cars
Mitsubishi Shogun is highest at 93.1; Toyota Corolla is lowest at 92.7 — the gap is 0.4 points.
below 100 is betterabove 100 is worse100 = normal for this model at that age
Same brand
All Nissan MOT statisticsNissan Note MOT statsNissan Leaf MOT stats
Similar risk
Toyota Corolla (index 92.7)Audi A1 (index 93.1)Mitsubishi Shogun (index 93.1)
Same size class
how Audi e-tron compareshow BMW M4 compareshow Ford Mustang compares
By build year
Nissan Elgrand 2000Nissan Elgrand 2001Nissan Elgrand 2002Nissan Elgrand 2003Nissan Elgrand 2004Nissan Elgrand 2005Nissan Elgrand 2006Nissan Elgrand 2007Nissan Elgrand 2008Nissan Elgrand 2009Nissan Elgrand 2010Nissan Elgrand 2011Nissan Elgrand 2012Nissan Elgrand 2013Nissan Elgrand 2014Nissan Elgrand 2015Nissan Elgrand 2016Nissan Elgrand 2017Nissan Elgrand 2018Nissan Elgrand 2019Nissan Elgrand 2020
By area
Nissan Elgrand MOT failure rate by postcode area
By failure group
Nissan Elgrand body, chassis and structure failuresNissan Elgrand brakes failuresNissan Elgrand vehicle identification failuresNissan Elgrand lamps, reflectors and electrics failuresNissan Elgrand noise, emissions and leaks failuresNissan Elgrand road wheels failuresNissan Elgrand seat belts and airbags failuresNissan Elgrand steering failuresNissan Elgrand suspension failuresNissan Elgrand tyres failuresNissan Elgrand visibility failures
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-v2, frozen baseline; headline claim_id=family-stats:nissan-elgrand:dvsa-2024-v2. Full method: methodology.
Cite: MOT Risk Index (2026). Nissan Elgrand MOT statistics 2024 (data release dvsa-2024-v2; downloadable dataset motriskindex-families-2024-v5, doi:10.5281/zenodo.22975051). https://motriskindex.co.uk/cars/nissan-elgrand/ · Published 2026-07-30.