Sorry, this is more maths than data, but what I am saying is this.
2 people, A and B, 1 link.
3 people, AB, BC, AC 3 links (+2)
4 people, AB, AC, AD, BC, BD, CD 6 links (+3)
5 people 10 links (+4)
6 people 16 links (+5)
Maths teachers will recognise this as "The Handshake Investigation", which is when you get children to work out how many handshakes you will need for every person in the class to shake the hand of every other person in the class.
As you increase the size of the school, or the size of the bubble within the school, you don't just increase the risk proportionally to the size of the bubble, but to the size of the links within the bubble (which don't increase linearly. 1,2 3, but increase as triangular numbers, 1,3,6,10 T = n(n+1)/2 ).
If I'm correct, then it isn't age that is the determining factor of spread, but size of bubble. This would absolutely seem age related, as the size of the bubbles increases with age, meaning that the proportions are higher in older year groups with bigger bubbles.
Sorry, this isn't really data, but it's a fun theory and when I get struck by an idea, I have to vent it somewhere!