![[OC] I turned data on luggage mishandling into a sticker for my suitcase](https://www.byteseu.com/wp-content/uploads/2026/01/1769662633_xgkyzrhsx5gg1-1536x864.png "[OC] I turned data on luggage mishandling into a sticker for my suitcase")
My suitcase was delayed on a long-haul flight, so I made this treemap in R using data from SITA (Global Baggage Report, 2024), printed it, and stuck it to my suitcase.
If this ever happens again, at least I won’t have to face judgement at the help desk when I describe my luggage as “black… with four wheels… and a handle".
Posted by anothersamwilson
13 Comments
That arrow pointing to the green area suggests that 99% of luggage is mishandeld. I hope the tossers don’t take that as a personal insult and accidentally drop your suitcase off the plane…
This is some very ugly data
This is why all of my luggage has a bright colour, currently one bag is red and the other a nice hue of teal. Also, the one time our luggage was delayed, the estimate to get it back to us was a week. Until I told them that they can choose between getting it to one location within two days or have one transported about 1000km and the other one to an offshore island. Well, I got a call the next day from a taxi driver asking for directions. 😀
Your bag misses your flight cause they’re too busy reading your sticker.
I’m curious about the underlying data, but also not willing to sign up to their spam list to download the report. I am highly suspicious of their “damaged” luggage number though — I cannot see a way they would be able to actually assess that for all luggage.
And that is why you take a picture of it each time before you drop it off. The helpdesks often have a book full of images, but nothing is better than making the description their issue when they know the differentiating factors.
Kind of a misleading graphic. The way it is displayed one would think there are equal parts green and not green. In reality 99% makes it to its destination, right. The graph on left should subsume the one on right. Like two pie graphs with the one on the right being a blow up of the 1% on the left that aren green. Make sense??
Why are the causes for mishandled luggage not sorted by %? Makes absolutely no sense. Very annoying to read.
Roughly 5.3 billion passengers in 2024, with the average person carrying 1.2 bags, bringing the total baggage to 6.4 billion.
@ 0.69% error rate, that’s 44.2 million bags affected.
An error rate below 1% sounds good on paper, but the impact to customers, and the airlines is huge.
Every bag that is mishandled results in tracing, handling, compensation, logistics, customer service etc..
In large throughput systems, a small % is a large number wearing a disguise.
It looks a little like a Fibonacci Sequence.
This is excellent. I love the layout and intelligent graphic design application generally.
I just put pink painters tape on the handle.
I couldn’t help but notice you left **THIEVERY** off the list.
Happens all the time.