Porsche

Porsche Boxster (2016)

1,275 real MOT outcomes analysed • 94.8% first-time pass rate

2016 Porsche Boxster

CarHunch analysed 1,275 real MOT records for the 2016 Porsche Boxster. Real test outcomes — pass rates, defect profiles, mileage data — from verified DVLA records. Updated as new MOTs are recorded.
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AI Analysis Reliability Overview Common Issues Check a Specific Reg Buyer's Checklist Mileage Distribution Still on the Road MOT Averages Colour Breakdown Compare Models

The 2016 Porsche Boxster is a genuinely reliable performer, with a first-time pass rate of 94.8% — well above the UK average of 80% — and only 15.8% of vehicles ever flagged with a dangerous defect, which is reassuring for a sports car. You're not buying a troublemaker here.

These cars are running low mileage for their age (median 22,633 miles), which explains why they rack up few actual failures (0.42 per vehicle) but accumulate advisories (3.4 per vehicle) — mostly routine maintenance items rather than broken bits. If you're considering one, get a pre-purchase inspection focused on the cooling system and suspension wear, since advisories cluster around those areas on older sports cars.

The 2016 Porsche Boxster passes its MOT first time at roughly the UK average rate (94.8%) — solid but worth checking this vehicle's history carefully.

⚠️ Around 1 in 8 of these vehicles have had a dangerous MOT failure at some point — usually tyres or brakes, and often a one-off issue rather than a persistent problem. The group stats won't tell you which one you're looking at.
First-time pass
94.8%
UK average ~80%
Better than average
Dangerous (ever)
15.8%
At least once in MOT history
Check this vehicle
Avg failures / car
0.42
Over 7.2 tests on record
Low
Typical mileage
23k
Middle half: 15k–32k
For context
Good baseline reliability. A 94.8% first-time pass rate puts this well above the UK average — it's a well-sorted vehicle in this age bracket.
🔧 Expect consumable spend. An average of 3.4 advisories per vehicle tells you wear items (tyres, brakes) get flagged regularly. Budget for them — they're not surprises.
🔍 The dangerous defect figure is real. Most are one-off tyre failures or brake issues — not structural problems. But it's exactly why checking the individual vehicle's history is essential, not optional.

These stats describe 1,275 vehicles as a group. The specific vehicle you're looking at could be the one good example or the one outlier. Run its registration to find out.

Average reliability — agree?

What tends to go wrong

Across 1,275 vehicles — figures show how many had each issue flagged at least once in their MOT history.

Tyre wear 25.5%
Nearside Rear Tyre worn close to legal limit/worn on edge · Offside Rear Tyre worn close to legal limit/worn on edge · Offside Front Tyre slightly damaged/cracking or perishing · …
Budget for a full set — on a vehicle this age, tyres are expected consumables. An inspection will confirm how much is left.
Other issues 16%
COVID-19 6 MONTH EXTENSION · Windscreen damaged but not adversely affecting driver's view
Brake wear 6%
Front Brake pad(s) wearing thin · Front Brake disc worn, pitted or scored, but not seriously weakened
Ask the seller when brakes were last serviced. If they don't know, factor in the cost.

Data covers a 3-year window centred on 2016.

See this vehicle's full MOT history & AI hunches

Spot recurring advisories, hidden issues, and how it compares to 1,275 Porsche Boxster cars.

UK

Before you buy a 2016 Porsche Boxster

Based on MOT data from 1,275 vehicles — here's what to check.

  • 📋 Check the full MOT history. 15.8% of these vehicles have had a dangerous defect recorded - recurring advisories often signal problems years before they become failures.
    Search the reg on CarHunch for the full MOT history, reliability stats and a free AI-powered analysis of that exact vehicle.
  • 🔍 Brake pipes, sills and subframes are the key areas on a vehicle this age — structural rust is hard to spot without getting underneath. A mechanic will check all of this before you commit, and give you a concrete basis to negotiate on price. Inspection ClickMechanic
  • 📄 Outstanding finance, insurance write-offs and clocking won't appear in the MOT records — a dedicated history check covers all of this. Our link gets you 20% off automatically. History carVertical Get 20% off via CarHunch

Colour Breakdown

Based on 45,845 Porsche Boxster vehicles registered in the UK — across all years. From DVLA registration records.

Silver 26.2%
12,019
Blue 21.1%
9,693
Black 18.7%
8,566
Grey 14.3%
6,559
Red 8.8%
4,031
White 6%
2,764
Yellow 2.6%
1,172
Green 1.2%
546
Orange 0.4%
201
Brown 0.3%
130
Turquoise 0.2%
100
Purple 0.1%
64

Mileage Distribution

Most 2016 Porsche Boxster vehicles sit in the blue band. If the vehicle you're looking at is outside it, it's either unusually low or high mileage for its age.

22,633
typical
14,961
low mileage
32,030
high mileage

Half of all 2016 Porsche Boxster vehicles fall between 14,961 and 32,030 miles.

Is the mileage you're seeing normal?
Under 14,961 miles — lower than most. Could be great, or could be a vehicle that rarely moved. Check test frequency and mileage progression in the MOT history.
14,961–32,030 miles — normal for age. This is where most 2016 Porsche Boxsters sit.
Over 43,240 miles — higher than typical. Not necessarily a problem, but check service history and look out for advisory build-up on tyres and brakes.

2016 Porsche Boxster — Still on the Road

Almost all 2016 Porsche Boxsters are still on the road.

Strong survival — 1,173 vehicles still getting MOTs in 2025, 97% of the peak.

1,205 1,173 2019 2025

Based on vehicles from this manufacture year that had at least one MOT test in each calendar year. Data from 2019–2025.
* The 2020 dip reflects the government's COVID-19 MOT exemption, which allowed certificates to be extended by six months — fewer tests were conducted that year.

MOT History Averages

7.2
Avg MOT tests per vehicle
0.42
Avg failures per vehicle
3.4
Avg advisories per vehicle
Other model years — Porsche Boxster: All Boxster years → Which year to buy? →
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Compare with another model

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Average reliability — agree?