Goodreads VS AMAZON 的用户成分/分布

有时买书借书读书之前， 会看AMAZON和GOODREADS上的RATING和排在很前面的几个评语， 发现一个现象，我喜欢的读物经常在GOODREADS 上少见或评分不高。 但在AMAZON上很多评论，而且评分都不错。 突发奇想去比较一下用户情况， GROK了一下， 看来我的观察是对的：尤其对NONFICTION BOOKS，AMAZON上的读者性别和年龄分布相对正态分布一些。

Approximately 75% of Goodreads users with public profiles are female. Goodreads users are predominantly younger, with many books trending among females aged 18–25. 

By Grok： 

There is no direct data from the provided references that shows a detailed demographic map (e.g., a geographical visualization) of Goodreads readers who rate books. However, some insights into the demographics and geographic distribution of Goodreads users can be pieced together from available information, focusing on user characteristics and regional activity.

### Key Demographic Insights:
1. **Gender Distribution**:
   - Approximately 75% of Goodreads users with public profiles are female. This suggests that women are significantly more active in rating and reviewing books on the platform compared to men. Female users also tend to register more books but give slightly less positive ratings on average compared to male users.[](https://www.researchgate.net/publication/293768221_Goodreads_A_Social_Network_Site_for_Book_Readers)

 

2. **Geographic Distribution**:
   - As of January 2017, the United States accounts for the largest share of Goodreads users, with 20 million out of 45 million monthly active visitors originating from the U.S. 
   - Other significant user populations come from Asia, particularly India, Indonesia, and the Philippines, which together contribute 7 million users. Notably, Jakarta, Indonesia, was reported as the city with the highest number of Goodreads visitors, surpassing cities like New York (which ranked sixth). Other top cities include Makati (Philippines), Mumbai, Delhi, and Pune (India).[](https://www.goodreads.com/author_blog_posts/14538341-who-is-the-average-goodreads-user-you-ll-be-surprised)

   - This indicates a strong presence in both Western and Asian markets, with urban centers in Asia showing unexpectedly high engagement.

3. **Age and Other Characteristics**:
   - While exact age demographics are not fully detailed, a 2015 Reddit discussion suggested that Goodreads users are predominantly younger, with many books trending among females aged 18–25. However, this is anecdotal and not universally representative, as users outside this demographic also actively participate.[](https://www.reddit.com/r/books/comments/3gzaez/question_about_goodreads_demographics/)

   - Military personnel (e.g., sailors and airforce members) were noted as a surprisingly active group, indicating some niche demographic engagement.[](https://www.goodreads.com/author_blog_posts/14538341-who-is-the-average-goodreads-user-you-ll-be-surprised)

 

4. **Behavioral Patterns**:
   - Users who rate books are often engaged in other social activities on Goodreads, such as joining book clubs, participating in discussions, or following authors. However, there’s no strong correlation between social activity (e.g., number of friends or followers) and book-rating activity, suggesting diverse user behavior.[](https://www.researchgate.net/publication/293768221_Goodreads_A_Social_Network_Site_for_Book_Readers)

   - The platform’s recommendation algorithm, which relies on user ratings (at least 20 books rated on a five-star scale), influences how users discover and rate books, potentially skewing activity toward more active raters.[](https://en.wikipedia.org/wiki/Goodreads)

 

### Visualizing a Demographic Map:
While no explicit "map" is provided in the data, a hypothetical demographic map of Goodreads readers who rate books would likely show:
- **Heavy concentration in the United States**, particularly in urban areas like New York, but not as dominant as expected given the platform’s American origin.
- **Significant clusters in Asia**, especially in cities like Jakarta, Makati, Mumbai, Delhi, and Pune, reflecting high engagement from English-speaking populations in these regions.
- **Moderate activity in other English-speaking countries** like the UK and Canada, as seen in giveaway distributions.[](https://www.goodreads.com/author_blog_posts/14538341-who-is-the-average-goodreads-user-you-ll-be-surprised)

- **Sparse but notable activity globally**, as users from diverse regions (e.g., Australia, Israel, China) contribute to ratings, especially for popular genres like fantasy, sci-fi, and young adult fiction.[](https://www.goodreads.com/topic/show/19170318-map-your-books)

 

### Limitations:
- The data does not provide a comprehensive global map or precise breakdowns by country beyond the U.S., India, Indonesia, and the Philippines.
- Age demographics are not explicitly mapped, and gender data is limited to public profiles.
- No specific visualization tools or maps for Goodreads ratings are referenced, though users have created custom maps for book settings or author nationalities (e.g., via the Popsugar Reading Challenge).[](https://www.goodreads.com/topic/show/19170318-map-your-books)

 

### How to Explore Further:
To create a detailed demographic map, you could:
- Use Goodreads’ API (if available) to extract rating data by region, though access may be limited.[](https://ca.wikipedia.org/wiki/Goodreads)

- Leverage third-party tools like The StoryGraph, which imports Goodreads data and offers visualization features for reading stats.[](https://www.reddit.com/r/goodreads/comments/kos9fz/what_are_the_best_websites_to_analyze_or/)

- Manually track ratings by joining Goodreads groups or following reviewers with similar tastes, as suggested in Reddit discussions.[](https://www.reddit.com/r/books/comments/3gzaez/question_about_goodreads_demographics/)

 

If you’re looking for a specific type of map (e.g., a heatmap of ratings by country or city), let me know, and I can guide you on tools to visualize this data or suggest further research! Alternatively, if you want me to generate a chart based on available data (e.g., gender or regional distribution), I can do so with your confirmation.