Peugeot Expert s l1 bluehdi
Reliability, running costs, and MOT data across 3 years from 2,349 real MOT tests.
Avg Pass Rate
96%
Total Tests
2,349
Best Year
2020 (97%)
Years Covered
3
About the Peugeot Expert s l1 bluehdi
The Peugeot Expert s l1 bluehdi has been tested 2,349 times in 2026 MOT data across 3 model years (2019 to 2021), with an average pass rate of 96%. That's comfortably above the national average of 82%, making it a reliable choice. Available as diesel.
Best and Worst Years
The 2020 model is the most reliable with a 97% pass rate from 1,378 tests. The 2019 model has the lowest at 95%. With just a 2 point spread, the Expert s l1 bluehdi is consistently reliable regardless of year.
Reliability Trend
The PEUGEOT EXPERT S L1 BLUEHDI has maintained consistent MOT pass rates across model years, varying by only 2 percentage points.
Mileage Across Years
The oldest model in our data (2019) averages 37,601 miles, while the newest (2021) averages 30,466 miles.
Compared to the Peugeot brand average of 83%, the Expert s l1 bluehdi performs 13 points better, making it one of the more reliable options in the Peugeot range.
Estimated Running Costs
Based on 7,400 miles/year, current fuel prices, and MOT pass rate data. Insurance not included.
Full 2021 detailsHow reliable is the Peugeot Expert s l1 bluehdi?
Peugeot Expert s l1 bluehdi by Year
Click any year to see detailed running costs, reliability data, and comparisons with similar cars.
Peugeot Expert s l1 bluehdi Guides & Articles
Petrol vs Diesel in 2026: Which Actually Costs Less to Own?
8 min read
Running CostsCheapest Cars to Run in 2026: Real Data from 19.8 Million MOT Tests
9 min read
Reliability20 Most Reliable Used Cars UK 2026: Real MOT Pass Rate Rankings
10 min read
Buying GuideFord Fiesta Common Problems (2026): What to Check Before Buying
13 min read
ReliabilityFord Puma Problems: 7 Issues Owners Report (2026)
13 min read
Checking a specific Peugeot Expert s l1 bluehdi?
Enter the reg plate to see its individual MOT history, mileage verification, and predicted costs.