42 datasets found
  1. Average number of books read yearly by U.S. consumers 2018, by income

    • statista.com
    Updated Aug 27, 2018
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    Statista (2018). Average number of books read yearly by U.S. consumers 2018, by income [Dataset]. https://www.statista.com/statistics/896534/number-of-books-consumers-read-per-year-by-income/
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    Dataset updated
    Aug 27, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 10, 2018
    Area covered
    United States
    Description

    The statistic shows the average number of books read per year by consumers in the United States as of August 2018, broken down by income. The data shows that Americans earning more than ******* a year were more likely to have read more books than those on lower salaries, with ** percent of respondents in this category saying that they read between ** and ** books per year compared to ** percent of Americans with a salary below *******.

  2. w

    Dataset of books called Reading like a writer : a guide for people who love...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Reading like a writer : a guide for people who love books and for those who want to write them [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Reading+like+a+writer+%3A+a+guide+for+people+who+love+books+and+for+those+who+want+to+write+them
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Reading like a writer : a guide for people who love books and for those who want to write them. It features 7 columns including author, publication date, language, and book publisher.

  3. Google Books Dataset

    • kaggle.com
    Updated Nov 25, 2019
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    Bilal Yussef (2019). Google Books Dataset [Dataset]. https://www.kaggle.com/datasets/bilalyussef/google-books-dataset/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 25, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bilal Yussef
    Description

    Context

    This data was gathered as part of the data mining project for General Assembly Data Science Immersive course.

    Content

    This data was acquired from Google Books store. Google API was used to acquire the data. Nine features were gathered for each book in the data set. the column names mostly are self explanatory nevertheless, it will be explained below.

    1. title : the title of the book.
    2. authors : name of the authors of the books (might include more than one author.
    3. language : the language of the book
    4. generes\categories : the categories associated with the book (by Google store)
    5. rating\averageRating : the average rating of each book out of 5.
    6. maturityRating : wheather the content of the book is for mature or NOT MATURE audience.
    7. publisher : the name of the publisher.
    8. publishedDate : when the book was published.
    9. pageCount : number of pages of the books.
    10. voters : the number of voters to the book.
    11. ISBN : the unique identifier for each book.
    12. description : brief introductory description of the book.
    13. price : price of the book on the google books store
    14. currency : the currency of the price in the google books store.

    Acknowledgements

    I like to thank google for making a free available API for their services and websites. I also would love to acknowledge the effort of the web scraper extension developer, it is really nice and powerful tool for web scraping.

    Licenses

    ©2019 Google

    Inspiration

    Here is a story. you love reading books, and recently, you bought a book that you thought you liked. However, after reading half the book you still don't feel the enthusiasm and joy you expected. I think that machine learning algorithms might help solve such a problems.

  4. Coronavirus and reading habits in the U.S. 2020, by generation

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Coronavirus and reading habits in the U.S. 2020, by generation [Dataset]. https://www.statista.com/statistics/1107853/book-readers-coronavirus-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 24, 2020 - Mar 26, 2020
    Area covered
    United States
    Description

    Recent data revealed that ** percent of Boomers who responded to a survey held in the United States in March 2020 were more likely to read books as a result of the coronavirus outbreak, compared to ** percent of Gen X respondents.Millennials were the most likely to read more books to keep themselves entertained whilst self-isolating, with ** percent saying that they were more inclined to read books, ***** percent higher than all adults in total.

  5. Goodreads-books

    • kaggle.com
    Updated Mar 9, 2020
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    Soumik (2020). Goodreads-books [Dataset]. https://www.kaggle.com/jealousleopard/goodreadsbooks/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 9, 2020
    Dataset provided by
    Kaggle
    Authors
    Soumik
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The primary reason for creating this dataset is the requirement of a good clean dataset of books. Being a bookie myself (see what I did there?) I had searched for datasets on books in kaggle itself - and I found out that while most of the datasets had a good amount of books listed, there were either a) major columns missing or b) grossly unclean data. I mean, you can't determine how good a book is just from a few text reviews, come on! What I needed were numbers, solid integers and floats that say how many people liked the book or hated it, how much did they like it, and stuff like that. Even the good dataset that I found was well-cleaned, it had a number of interlinked files, which increased the hassle. This prompted me to use the Goodreads API to get a well-cleaned dataset, with the promising features only ( minus the redundant ones ), and the result is the dataset you're at now.

    Acknowledgements

    This data was entirely scraped via the Goodreads API, so kudos to them for providing such a simple interface to scrape their database.

    Inspiration

    The reason behind creating this dataset is pretty straightforward, I'm listing the books for all book-lovers out there, irrespective of the language and publication and all of that. So go ahead and use it to your liking, find out what book you should be reading next ( there are very few free content recommendation systems that suggest books last I checked ), what are the details of every book you have read, create a word cloud from the books you want to read - all possible approaches to exploring this dataset are welcome. I started creating this dataset on May 25, 2019, and intend to update it frequently. P.S. If you like this, please don't forget to give an upvote!

    V2 notes :

    You have the information about the publisher and the publication date now! Also, multiple authors are now delimited by '/'. Enjoy!

    Author's note:

    Please read the Goodreads API terms and conditions before you decide to use this dataset anywhere.
    All I can say is, this dataset was created in good faith to help bibliophiles like me. I will not be maintaining this dataset anymore because as of December 8th, 2020, Goodreads no longer issues new developer keys for their public developer API and plans to retire the current version of these tools.

  6. A

    ‘People according to the habit of reading books. (%)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 5, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘People according to the habit of reading books. (%)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-people-according-to-the-habit-of-reading-books-9c23/aa2f26c2/?iid=004-104&v=presentation
    Explore at:
    Dataset updated
    Aug 5, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘People according to the habit of reading books. (%)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-estadistica-territorio-zona-geografica-y-dimension-municipal-lectura-y-bibliotecas-personas-segun-el-habito-de-lectura-de-libros- on 17 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Basque Observatory of Culture was created to place culture as a central element of social and economic development, with the mission of rigorously filling the information gap in the cultural field, in line with the Basque Culture Plan of which it forms part. The Observatory’s scope of action focuses on traditional areas of culture: cultural heritage, artistic creation and expression, industries and cross-cutting areas.The Basque Observatory of Culture publishes and updates more than 200 statistical indicators that can be consulted in euskadi.eus along with other research and reports.

    --- Original source retains full ownership of the source dataset ---

  7. w

    Dataset of books called How to analyze people : a complete guide to learn...

    • workwithdata.com
    Updated Apr 17, 2025
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    Dataset of books called How to analyze people : a complete guide to learn body language through speed-reading techniques, explore human behavior and personality types, manipulation, persuasion and dark psychology [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=How+to+analyze+people+%3A+a+complete+guide+to+learn+body+language+through+speed-reading+techniques%2C+explore+human+behavior+and+personality+types%2C+manipulation%2C+persuasion+and+dark+psychology
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is How to analyze people : a complete guide to learn body language through speed-reading techniques, explore human behavior and personality types, manipulation, persuasion and dark psychology. It features 7 columns including author, publication date, language, and book publisher.

  8. Book readers in the U.S. 2019-2021, by gender

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Book readers in the U.S. 2019-2021, by gender [Dataset]. https://www.statista.com/statistics/249781/book-reading-population-in-the-us-by-gender/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, survey data on book readers in the United States revealed that ** percent of female respondents stated they had read or listened to at least one book in the previous 12 months. The share of men who had read a book in that time frame was slightly lower at ** percent, but marked an increase from the ** percent recorded two years earlier. Book readers in the U.S. Whilst digital formats have overtaken print in terms of popularity and consumption, many U.S. media consumers still enjoy a good book – though women tend to read more books than men. A 2018 survey showed that 11 percent of U.S. women read ** or more books that year, compared to **** percent of male respondents. Women were also more likely to prefer reading books in paperback format, and much less likely to be fans of comic books. Regardless of adults’ preferences, something which many U.S. readers agree on is the importance of reading to children. According to a report on family reading habits, 58 percent of parents with a child aged between three and five years old said that they read aloud to their child **** to ***** times per week. The frequency of read-aloud time diminished as children grew older, usually because the child could then read independently, though some children eventually swap reading for other activities such as playing video games, watching television, or using social media.

  9. A

    ‘Goodreads-books’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jun 15, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘Goodreads-books’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-goodreads-books-a906/latest
    Explore at:
    Dataset updated
    Jun 15, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Goodreads-books’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jealousleopard/goodreadsbooks on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    The primary reason for creating this dataset is the requirement of a good clean dataset of books. Being a bookie myself (see what I did there?) I had searched for datasets on books in kaggle itself - and I found out that while most of the datasets had a good amount of books listed, there were either a) major columns missing or b) grossly unclean data. I mean, you can't determine how good a book is just from a few text reviews, come on! What I needed were numbers, solid integers and floats that say how many people liked the book or hated it, how much did they like it, and stuff like that. Even the good dataset that I found was well-cleaned, it had a number of interlinked files, which increased the hassle. This prompted me to use the Goodreads API to get a well-cleaned dataset, with the promising features only ( minus the redundant ones ), and the result is the dataset you're at now.

    Acknowledgements

    This data was entirely scraped via the Goodreads API, so kudos to them for providing such a simple interface to scrape their database.

    Inspiration

    The reason behind creating this dataset is pretty straightforward, I'm listing the books for all book-lovers out there, irrespective of the language and publication and all of that. So go ahead and use it to your liking, find out what book you should be reading next ( there are very few free content recommendation systems that suggest books last I checked ), what are the details of every book you have read, create a word cloud from the books you want to read - all possible approaches to exploring this dataset are welcome. I started creating this dataset on May 25, 2019, and intend to update it frequently. P.S. If you like this, please don't forget to give an upvote!

    V2 notes :

    You have the information about the publisher and the publication date now! Also, multiple authors are now delimited by '/'. Enjoy!

    --- Original source retains full ownership of the source dataset ---

  10. w

    Dataset of book subjects that contain Building a TypePad blog people want to...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Building a TypePad blog people want to read [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Building+a+TypePad+blog+people+want+to+read&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about book subjects. It has 4 rows and is filtered where the books is Building a TypePad blog people want to read. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  11. Goodreads Books Everyone Should Read 23,000 Books

    • kaggle.com
    Updated Mar 18, 2021
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    Val Aj (2021). Goodreads Books Everyone Should Read 23,000 Books [Dataset]. https://www.kaggle.com/mm16va/goodreads-books-everyone-should-read-23000-books
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 18, 2021
    Dataset provided by
    Kaggle
    Authors
    Val Aj
    Description

    Context

    I wanted to have a go at webscraping so made a list of the books everyone must read at least once from Goodreads, over 23,000.

    Content

    The columns include a unique Book ID, Book Name, Book Author, Book Rating and Number of Ratings.

  12. w

    Dataset of author, BNB id, book publisher, and publication date of The...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of author, BNB id, book publisher, and publication date of The illustrated A to Z guide to Bible people : 180 easy-reading entries, from Aaron to Zipporah [Dataset]. https://www.workwithdata.com/datasets/books?col=author%2Cbnb_id%2Cbook%2Cbook_publisher&f=1&fcol0=book&fop0=%3D&fval0=The+illustrated+A+to+Z+guide+to+Bible+people+%3A+180+easy-reading+entries%2C+from+Aaron+to+Zipporah
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The illustrated A to Z guide to Bible people : 180 easy-reading entries, from Aaron to Zipporah. It features 4 columns: author, book publisher, and BNB id.

  13. Book consumption in the U.S. 2011-2021, by format

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Book consumption in the U.S. 2011-2021, by format [Dataset]. https://www.statista.com/statistics/222754/book-format-used-by-readers-in-the-us/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Reading books remains a popular pastime for U.S. adults, with ** percent of respondents to a 2021 survey saying that they had read a book in any format within the last year. Despite online media formats now being the preferred option for many consumers when it comes to television, music, and gaming, print books are by far the most popular format among readers in the United States. Whilst almost double the share of adults now read audiobooks compared to 2011, only ** percent claimed to have read an audiobook in the last year compared to ** percent who said that they had read a print book. Book sales in the United States In 2020, bookstore sales in the United States amounted to **** billion U.S. dollars. Sales in 2019 and 2020 were the lowest recorded since the early *****, and the combined effect of the coronavirus outbreak, along with the growing appeal of online purchasing, will likely mean that bookstore sales will continue to drop. Bookstores tend to see most success in August, December, and January, and sales revenue often surpasses *********** U.S. dollars in those months each year. That said, monthly retail sales of bookstores in the U.S. are notably lower overall than in previous years and were particularly poor in spring 2020 as a result of national shutdowns to stem the spread of COVID-19. Influence of COVID-19 on reading habits The coronavirus pandemic led to increased media consumption in general, but not only among avid video and music streaming fans. Data from a survey in March 2020 revealed that ** percent of Millennials read more books due to the COVID-19 outbreak, making consumers in this group the most likely to have done so compared to ** percent of the total survey sample. Meanwhile, ** percent of Boomers said that their reading habits had not changed.

  14. A

    ‘Bilingual people according to reading books in Basque. (%)’ analyzed by...

    • analyst-2.ai
    Updated Jan 17, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Bilingual people according to reading books in Basque. (%)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-bilingual-people-according-to-reading-books-in-basque-880b/3c9368b0/?iid=002-306&v=presentation
    Explore at:
    Dataset updated
    Jan 17, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Bilingual people according to reading books in Basque. (%)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-estadistica-territorio-zona-geografica-y-dimension-municipal-lectura-y-bibliotecas-personas-bilingues-segun-la-lectura-de-libros-en-euskera- on 17 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Basque Observatory of Culture was created to place culture as a central element of social and economic development, with the mission of rigorously filling the information gap in the cultural field, in line with the Basque Culture Plan of which it forms part. The Observatory’s scope of action focuses on traditional areas of culture: cultural heritage, artistic creation and expression, industries and cross-cutting areas.The Basque Observatory of Culture publishes and updates more than 200 statistical indicators that can be consulted in euskadi.eus along with other research and reports.

    --- Original source retains full ownership of the source dataset ---

  15. c

    Global Online Novels Reading Platform Market Report 2025 Edition, Market...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 5, 2025
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    Cognitive Market Research (2025). Global Online Novels Reading Platform Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/online-novels-reading-platform-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    The online novel reading market was valued at USD 3.88 billion in 2022 and will reach USD 6.91 billion by 2030, registering a CAGR of 7.5% for the forecast period 2023-2030. Driving factor:

    Increasing demand for online books is driving the market of the online novel reading market.
    

    Online books are easily available and have the advantage of dictionaries, summaries, and appendices. We can get a variety of books on online websites. They have easy access by only clicking on the unknown word so we can grab more information which will make reading easier. As more information will be provided, the reader will be more interested in reading the book. For example, Walmart has released a new version of Onn tablets which have unexpected features for Android tablets. Therefore, an increase in the availability of a variety of books results in increasing demand for the online novel reading market.

    Restraining factor:

    Rising piracy issues tend to hinder the growth of the online novel reading market.
    

    There are some crucial parts included in the E-books. This data should be managed and operated in a very precise manner. The lack of books, ignorance of copyright rules, and poverty are some of the factors affecting piracy issues. Therefore, technological and cultural change also have a negative impact due to the adoption of learning and reading experiences.

    Impact of the COVID-19 Pandemic on the Online Novel Reading Market: There was a positive impact on the market of online reading as it is easily available on online websites. The online novel reading has many advantages such as being cheaper as compared to hardcover, and also having huge discounts on e-books. This is very attractive for the customers who are buying it for the first time. The online reading market has also decreased the consumption of paper which is used for printing paper books so e-books are eco-friendly in nature. Therefore, downloading online books is a simple process and can be stored on the device. Thus, all these factors increase the market of the online novel reading market. What do you mean by the online novel reading platform? Online reading is advantageous for people who are passionate about reading books or novels. Online books are also called e-books and are used by individuals in order to increase their knowledge. The e-books are available in the format of texts and pictures which makes readers more interested in reading books. They are easily available on electronic devices such as computers, laptops, and smartphones. The availability of reading books on online websites is useful for the environment in order to reduce the use of paper. Elderly people who are retired and are interested in reading books can take advantage of reading books online.

  16. BraCID: Brazilian Cultural Identity Information Through Reading Preferences

    • zenodo.org
    • data.niaid.nih.gov
    csv, zip
    Updated Jun 4, 2021
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    Mariana O. Silva; Mariana O. Silva; Clarisse Scofield; Gabriel P. Oliveira; Gabriel P. Oliveira; Danilo B. Seufitelli; Danilo B. Seufitelli; Mirella M. Moro; Mirella M. Moro; Clarisse Scofield (2021). BraCID: Brazilian Cultural Identity Information Through Reading Preferences [Dataset]. http://doi.org/10.5281/zenodo.4890048
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    zip, csvAvailable download formats
    Dataset updated
    Jun 4, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Mariana O. Silva; Mariana O. Silva; Clarisse Scofield; Gabriel P. Oliveira; Gabriel P. Oliveira; Danilo B. Seufitelli; Danilo B. Seufitelli; Mirella M. Moro; Mirella M. Moro; Clarisse Scofield
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    In Brazil, each region has its own cultural identity regarding accent, gastronomy, traditions, all of which may reflect its literature. Specially, we believe that country's background and contextual features are directly related to what people read. Hence, we present an enhanced dataset that comprises cultural, geographic, and socioeconomic information to explore Brazilian cultural identity through reading preference.

    As our main data source, we chose the Goodreads website due to the sheer volume of data available and its organized and easily accessible API. We collect data from Brazilian readers through the goodreads library, which provides a Python interface to the Goodreads API. Specifically, we collect members of two of the largest Brazilian reading groups: the "Clube de Leitores em Português" (4,229 members) and the "Goodreads Brasil" (3,222 members). For all members of both groups, we also collect data from their friends. Then, we filter only those containing Brazil as location information from the final users' set. Finally, with the same library, we gather users' bookshelves to assess their reading preferences.

    To investigate the Brazilian reading identity, we consider a medley of demographic and socioeconomic data from the Brazilian Institute of Geography and Statistics (IBGE): including territorial area, population estimate, demographic density, Human Development Index (HDI), Gross Domestic Product (GDP), and monthly household income per capita. All indicators refer to the year 2020, except the HDI that refers to the year 2017. The data collection was carried out from February 23 to March 04, 2021.

    Our final dataset, named as BraCID, comprises:

    • 38,231 Brazilian Goodreads users
    • 75,093 Distinct books
    • 80 Literary genres
    • 6 IBGE indicators regarding the 27 federative units of Brazil
  17. s

    Data from: Normal People: A Novel

    • books.supportingcast.fm
    Updated Jun 30, 2021
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    Supporting Cast (2021). Normal People: A Novel [Dataset]. https://books.supportingcast.fm/products/normal-people
    Explore at:
    Dataset updated
    Jun 30, 2021
    Dataset authored and provided by
    Supporting Cast
    License

    https://slate.com/termshttps://slate.com/terms

    Description

    List price: $17.50

    NOW AN EMMY-NOMINATED HULU ORIGINAL SERIES • NEW YORK TIMES BESTSELLER • “A stunning novel about the transformative power of relationships” (People) from the author of Conversations with Friends, “a master of the literary page-turner” (J. Courtney Sullivan).

    ONE OF THE TEN BEST NOVELS OF THE DECADE—Entertainment Weekly

    TEN BEST BOOKS OF THE YEAR—People, Slate, The New York Public Library, Harvard Crimson

    AND BEST BOOKS OF THE YEAR—The New York Times, The New York Times Book Review, O: The Oprah Magazine, Time, NPR, The Washington Post, Vogue, Esquire, Glamour, Elle, Marie Claire, Vox, The Paris Review, Good Housekeeping, Town & Country

    Connell and Marianne grew up in the same small town, but the similarities end there. At school, Connell is popular and well liked, while Marianne is a loner. But when the two strike up a conversation—awkward but electrifying—something life changing begins.

    A year later, they’re both studying at Trinity College in Dublin. Marianne has found her feet in a new social world while Connell hangs at the sidelines, shy and uncertain. Throughout their years at university, Marianne and Connell circle one another, straying toward other people and possibilities but always magnetically, irresistibly drawn back together. And as she veers into self-destruction and he begins to search for meaning elsewhere, each must confront how far they are willing to go to save the other.

    Normal People is the story of mutual fascination, friendship and love. It takes us from that first conversation to the years beyond, in the company of two people who try to stay apart but find that they can’t.

    Praise for Normal People

    “[A] novel that demands to be read compulsively, in one sitting.”—The Washington Post

    “Arguably the buzziest novel of the season, Sally Rooney’s elegant sophomore effort . . . is a worthy successor to Conversations with Friends. Here, again, she unflinchingly explores class dynamics and young love with wit and nuance.”—The Wall Street Journal

    “[Rooney] has been hailed as the first great millennial novelist for her stories of love and late capitalism. . . . [She writes] some of the best dialogue I’ve read.”—The New Yorker

    ISBN: 9781984843333 Published: April 16, 2019 By: Sally Rooney Read by: Aoife McMahon

  18. Preferred book formats in the U.S. 2020

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Preferred book formats in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/299074/book-consumption-per-capita-print-ebook-usa/
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 28, 2020 - Apr 27, 2020
    Area covered
    United States
    Description

    According to a survey held in the United States between March and April 2020, 70 percent of respondents said that they read print books the most, with 39 percent of those consumers preferring their books to be new.

    The study was conducted as the U.S. went into lockdown to prevent the spread of the coronavirus, however although the virus certainly affected media consumption in the United States, what did not change was consumers' book preferences. Print has always been the most popular book format in the U.S. and figures on increased media consumption during the pandemic showed that even Gen Z, a generation famed for loving digital, were the most likely to be reading books more than usual during the outbreak.

    Book consumption in the U.S.

    Whilst printed newspapers and magazines have struggled to survive as digital formats grow ever more prevalent and appealing, when it comes to books U.S. consumers still have a clear preference for print. Annual survey data consistently shows that U.S. adults are far more likely to have read a print book in the last year than a digital version thereof, and whilst the popularity of digital books has increased, print remains the favorite.

    As far as book buying goes, whilst the number of print books sold in the U.S. fluctuates each year, the figures remain relatively stable. Although unit sales have not surpassed 700 million since 2010, the number came close in 2018 and yearly sales from 2015 to 2019 were higher than the amount recorded in 2004.

  19. D

    Data from: Jeugdliteratuur op de basisschool 1990

    • ssh.datastations.nl
    pdf, tsv, xml, zip
    Updated Jun 22, 2025
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    Blok, H., Stichting centrum voor onderwijsonderzoek, SCO * Amsterdam (primary investigator); Blok, H., Stichting centrum voor onderwijsonderzoek, SCO * Amsterdam (primary investigator) (2025). Jeugdliteratuur op de basisschool 1990 [Dataset]. http://doi.org/10.17026/DANS-XHM-PBYW
    Explore at:
    tsv(5842), zip(18254), tsv(114638), xml(2392), pdf(802138)Available download formats
    Dataset updated
    Jun 22, 2025
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    Blok, H., Stichting centrum voor onderwijsonderzoek, SCO * Amsterdam (primary investigator); Blok, H., Stichting centrum voor onderwijsonderzoek, SCO * Amsterdam (primary investigator)
    License

    https://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58

    Description

    Do pupils of the primary schools enjoy reading. pupils questionnaire ( P1133a ) : group, age, language used at home / statements about reading and books: enjoy reading, reading is boring ( after one hour ) , useless to read books, reading at school, educational value of books / aim of reading: to be at yourself, to get known something, to relax, nothing else to do / number of books and comic books / sources for books / heard of whom or where which book is nice to read / talk about read books with other people / read from a book chosen by respondent for someone / what and how often does respondent read for pleasure / time spend on reading at school and at home yesterday / facilities at school for reading for pleasure / which types of books does respondent like / if respondent likes a book: read read one more time, tell about it at school, make notes for him-her self or for other people, read from that book / preferred spending of leisure time / nicest book to read / like to read for pleasure. teachers questionnaire ( P1133b ) : school belongs to municipality of Amsterdam / number of years experience with group 7 or 8 and actual group / number of pupils in group / number of juvenile books and types of juvenile have been studied by respondent / sources to get actual information about juvenile books / documentation centre or library present at school / categorization of juvenile books at school / money spend for new books in school library / use of changing collections of the "Onderwijsmediatheekdienst" / aims for working with juvenile books / use of study method for reading juvenile books / time spend in school scheme for reading / activities to stimulate children to read / attention given to a book read by a pupil / use of juvenile books in several fields of education / structuring situation at school for working with juvenile books / assistance of institutions to stimulate children to read / activities for special for special week of juvenile books, the "Kinderboekenweek" / problems in working with juvenile literature. Background variables: basic characteristics/ readership, mass media, and 'cultural' exposure

  20. e

    People according to the habit of reading books. (%)

    • data.europa.eu
    unknown
    Updated Feb 1, 2023
    + more versions
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    (2023). People according to the habit of reading books. (%) [Dataset]. https://data.europa.eu/data/datasets/https-opendata-euskadi-eus-catalogo-estadistica-territorio-zona-geografica-y-dimension-municipal-lectura-y-bibliotecas-personas-segun-el-habito-de-lectura-de-libros-
    Explore at:
    unknown(2109), unknown(11264)Available download formats
    Dataset updated
    Feb 1, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Basque Observatory of Culture was born to place culture as a central element of social and economic development, with the mission of rigorously filling the information gap in the cultural field, in line with the Basque Plan of Culture of which it is part. The Observatory's scope of action focuses on the traditional areas of culture: cultural heritage, artistic creation and expression, industries and cross-cutting areas.The Basque Observatory of Culture publishes and updates more than 200 statistical indicators that can be consulted on euskadi.eus along with other research and reports.

Share
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Click to copy link
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Statista (2018). Average number of books read yearly by U.S. consumers 2018, by income [Dataset]. https://www.statista.com/statistics/896534/number-of-books-consumers-read-per-year-by-income/
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Average number of books read yearly by U.S. consumers 2018, by income

Explore at:
Dataset updated
Aug 27, 2018
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Aug 10, 2018
Area covered
United States
Description

The statistic shows the average number of books read per year by consumers in the United States as of August 2018, broken down by income. The data shows that Americans earning more than ******* a year were more likely to have read more books than those on lower salaries, with ** percent of respondents in this category saying that they read between ** and ** books per year compared to ** percent of Americans with a salary below *******.

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