Trains is a LEGO category that had 207 sets released in 1966-1972, 1974-1978, 1980-1981, 1983, 1985-1986, 1991, 1993-1999 & 2001-2007. This page details statistics of this theme, derived from all of the reviews Brick Insights has gathered and interpreted. You'll find a breakdown of the following:
Let's get the best part done first. These are the highest rated Trains sets of all time.
Just for fun - these are the worst rated Trains sets.
82
is the average rating of all Trains sets.
This rating is the average of all 80 scored sets in Trains. Compared to other categories this is average. 127 unscored sets are not included. 39% of all sets in this category are scored. Here's the distribution of all categories and where Trains is in relation to the others.
To know what it takes for a set to get a score and thus be included in these calculations, check out the FAQ.
Years without scored sets are not included.
Alright, so that's the rating. But are the sets generally recommended? The data we've collected shows that the majority of Trains sets are considered recommendeded:
42%
Total: 198 / 207
Not all sets in our database are marked as recommended or not. We currently have 9 sets in Trains that are considered unknown. They are excluded from these calculations.
A set is considered recommended when the majority of reviews recommend it. If you're interested in knowing when a review is considered a recommendation, I keep that reasoning updated in Brick Insights FAQ. I've also written an article detailing the recommendation distribution of all reviews.
Since part prices vary a lot depending on part types, Brick Insights attempts to group similar categories together. We call these meta-categories comparable categories. Trains is bundled into Robotics & Electronics along with these:
The average price per part (PPP) of all Robotics & Electronics sets is 1.73. The average PPP for Trains is 3.11. Meanwhile, the average price per minifig (PPM) in Robotics & Electronics is 46.37 and the average PPM for Trains is 46.37.
All prices are adjusted for inflation.
