I find myself reading pages 2-5 quite often, because page 1 just didn't give enough results, and I doubt I'm that much in a minority ?
(I'm talking about actual generalist searches, not people that use a global search engine as a replacement to bookmarks or directly searching, for instance, Wikipedia.)
If I'm looking for a specific issue I'll sometimes try out things as deep as 10 or more pages of search results if nothing on the first 100 ish hits selects the issue, but then only if I can't think of any keyword variations to use that might get me a better result match. I don't expect the average user to go even remotely that far.
And many queries that are solved with 0 visits, thanks to the information being pulled out from the wiki, or giving up and rephrasing the query.
After those, then yes, most queries will be answered by the first page. It's what retrieval is optimized for.
TLDR: on the second results page, each result gets <1% click through rate.
So it‘s not nobody, but statistically speaking not very many.
The question ought to be "conditional on not finding the result on the first page, how likely is the user to go to the second page versus balk, or re-try a different query?"
I'm fairly confident that number is higher than 1 %, but I don't have the data.