In recent blog posts, we’ve shared insights from the results of our quarterly survey of Canadians and Canadian book consumers. We’ve talked about book buying and book borrowing behaviours, and how browsing for books is making a comeback. Today, we’re happy to present the complete study featuring even more data about the book-related behaviours of adult Canadians — The Canadian Book Consumer Study 2022.
In 2022, we conducted our surveys during the months of March, June, September, and December among 10,840 adult, English-speaking Canadians — 18% were book buyers.
In this study you’ll find:
data on book buying, including insights into spending habits, reasons to buy at specific places, and changes in spending over time;
data on borrowing, including motivations behind borrowing vs. buying, discoverability, and browsing activity;
an analysis of the change in the buying and borrowing of print books, ebooks, and audiobooks through recent years; and
information related to the interest of book buyers in books by Canadian contributors, Canadian regions, Indigenous peoples, and more.
Sales and library circulation data of Satire titles during the the first quarter of 2026.
Whether you’re all in on AI, all out, or somewhere in between, we want to hear from you.
This year, some major industry players have announced their intent to end their support of the ONIX 2.1 version leaving everyone asking the same question.
This blog post outlines strategies for streamlining ONIX creation, maintenance, and distribution.
Annie Gibson talks to us about an unexpected entanglement between Heated Rivalry breakout star Hudson Williams and Playwrights Canada Press’ Yaga.
How much are Canadian book buyers willing to pay for books, how Canadian book buyers are spending their money, and the value they attribute to books.
This new Application Note tackles what Executive Director Graham Bell calls "one of the trickier aspects of ONIX".


Users can now narrow down their results further and use them to directly build other reports in SalesData & LibraryData.