This statistic shows the number of logged-in Reddit users in the United States from 2017 to 2025. In 2020, it was reported that ** million users accessed their account on the social news aggregation website. This figure is projected to rise to ** million users in 2025.

Comparing the *** selected regions regarding the number of Reddit users , the United States is leading the ranking (****** million users) and is followed by the United Kingdom with ***** million users. At the other end of the spectrum is Gabon with **** million users, indicating a difference of ****** million users to the United States. User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

During the first quarter of 2025, online forum and news aggregator Reddit saw approximately 108.1 million daily active users (DAU) engaging with its platform. Of these, over 59.4 million users were not logged in and accessed the platform's content without proving they registered to Reddit. This represents an increase of approximately 6.8 percent compared to the previous quarter, when Reddit saw 55.6 million logged-off DAU.

In 2023, it was estimated that social aggregator and discussion forum Reddit had a volume of approximately ************* user interactions on its platform. Users on Reddit, commonly called "Redditors" can comment on posts, upvote content of their liking, and even downvote content they do not like. It is estimated that the number of comments and votes on the platform has been experiencing a growth trend. By 2026, the number of comments and interactions on Reddit is estimated to reach *** billions.

reddit.com is ranked #5 in US with 4.66B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

During the first quarter of 2025, Reddit saw approximately 50 million daily active users (DAU) in the United States. In comparison, 58 million online users in the rest of the global market engaged with Reddit content daily in the last examined quarter. Between the beginning of 2021 and the end of 2024, the number of global daily active users engaging with Reddit experienced a moderate but constant increase.

It started in a Harvard dorm room in 2005. What began as a simple idea for "the front page of the internet" has now transformed into one of the most active and uniquely engaging platforms on the web. Reddit has evolved far beyond its early roots as a niche forum...

In 2023, it was estimated that social networking and news aggregator Reddit had approximately *** thousand paying Reddit users enjoying a premium subscription. While the number of Reddit premium subscribers experienced a constant increase between 2018 and 2023, the number of paying users on the platform remains limited. Reddit premium subscriptions are priced at 5.99 U.S. dollars per month, or ***** U.S. dollars per year, and include access to premium subreddits such as r/lounge, as well as an ad-free experience.

Access our extensive Reddit datasets that provide detailed information on posts, communities (subreddits), and user engagement. Gain insights into post performance, user comments, community statistics, and content trends with our ethically sourced data. Free samples are available for evaluation. 3M+ records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Post ID, Title & URL Post Description & Date Username of Poster Upvotes & Comment Count Community Name, URL & Description Community Member Count Attached Photos & Videos Full Post Comments Related Posts Post Karma Post Tags And more

The number of Reddit users in France was forecast to continuously increase between 2024 and 2028 by in total *** million users (+**** percent). After the eighth consecutive increasing year, the Reddit user base is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like Netherlands and Luxembourg.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F949630%2F1a380791014d44ae3581e006f4540b9a%2F898dc7.png?generation=1580627804062875&alt=media" alt="Reddit Banner">

Content

This data is an extract from a bigger reddit dataset (All reddit comments from May 2019, 157Gb or data uncompressed) that contains both more comments and more associated informations (timestamps, author, flairs etc...).

For ease of use, I picked the first 25 000 comments for each of the 40 most frequented subreddits (May 2019), this was if anyone wants to us the subreddit as categorical data, the volumes are balanced.

I also excluded any removed comments / comments whose author got deleted and comments deemed too short (less than 4 tokens) and changed the format (json -> csv).

This is primarily a NLP dataset, but in addition to the comments I added the 3 features I deemed the most important, I also aimed for feature type variety.

The information kept here is:

• subreddit (categorical): on which subreddit the comment was posted
• body (str): comment content
• controversiality (binary): a reddit aggregated metric
• score (scalar): upvotes minus downvotes

Acknowledgements

The data is but a small extract of what is being collected by pushshift.io on a monthly basis. You easily find the full information if you want to work with more features and more data.

What can I do with that?

Have fun! The variety of feature types should allow you to gain a few interesting insights or build some simple models.

Note

If you think the License (CC0: Public Domain) should be different, contact me

The dataset contains responses provided by Reddit users to a set of 70 questions posted on the subreddit r/AskAnAustralian

Reddit is a social news, content rating and discussion website. It's one of the most popular sites on the internet. Reddit has 52 million daily active users and approximately 430 million users who use it once a month. Reddit has different subreddits and here We'll use the r/AskScience Subreddit.

The dataset is extracted from the subreddit /r/AskScience from Reddit. The data was collected between 01-01-2016 and 20-05-2022. It contains 612,668 Datapoints and 25 Columns. The database contains a number of information about the questions asked on the subreddit, the description of the submission, the flair of the question, NSFW or SFW status, the year of the submission, and more. The data is extracted using python and Pushshift's API. A little bit of cleaning is done using NumPy and pandas as well. (see the descriptions of individual columns below).

The dataset contains the following columns and descriptions: author - Redditor Name author_fullname - Redditor Full name contest_mode - Contest mode [implement obscured scores and randomized sorting]. created_utc - Time the submission was created, represented in Unix Time. domain - Domain of submission. edited - If the post is edited or not. full_link - Link of the post on the subreddit. id - ID of the submission. is_self - Whether or not the submission is a self post (text-only). link_flair_css_class - CSS Class used to identify the flair. link_flair_text - Flair on the post or The link flair’s text content. locked - Whether or not the submission has been locked. num_comments - The number of comments on the submission. over_18 - Whether or not the submission has been marked as NSFW. permalink - A permalink for the submission. retrieved_on - time ingested. score - The number of upvotes for the submission. description - Description of the Submission. spoiler - Whether or not the submission has been marked as a spoiler. stickied - Whether or not the submission is stickied. thumbnail - Thumbnail of Submission. question - Question Asked in the Submission. url - The URL the submission links to, or the permalink if a self post. year - Year of the Submission. banned - Banned by the moderator or not.

This dataset can be used for Flair Prediction, NSFW Classification, and different Text Mining/NLP tasks. Exploratory Data Analysis can also be done to get the insights and see the trend and patterns over the years.

Context

The dataset is a csv file compiled using a python scrapper developed using Reddit's PRAW API. The raw data is a list of 3-tuples of [username,subreddit,utc timestamp]. Each row represents a single comment made by the user, representing about 5 days worth of Reddit data. Note that the actual comment text is not included, only the user, subreddit and comment timestamp of the users comment. The goal of the dataset is to provide a lens in discovering user patterns from reddit meta-data alone. The original use case was to compile a dataset suitable for training a neural network in developing a subreddit recommender system. That final system can be found here

A very unpolished EDA for the dataset can be found here. Note the published dataset is only half of the one used in the EDA and recommender system, to meet kaggle's 500MB size limitation.

Content

user - The username of the person submitting the comment
subreddit - The title of the subreddit the user made the comment in
utc_stamp - the utc timestamp of when the user made the comment

Acknowledgements

The dataset was compiled as part of a school project. The final project report, with my collaborators, can be found here

Inspiration

We were able to build a pretty cool subreddit recommender with the dataset. A blog post for it can be found here, and the stand alone jupyter notebook for it here. Our final model is very undertuned, so there's definitely improvements to be made there, but I think there are many other cool data projects and visualizations that could be built from this dataset. One example would be to analyze the spread of users through the Reddit ecosystem, whether the average user clusters in close communities, or traverses wide and far to different corners. If you do end up building something on this, please share! And have fun!

Released under Reddit's API licence

This file contains the posting preferences for over 850,000 active reddit users. This sample was taken in mid-2013. This data was used to generate the interactive visualization, "redditviz," and will be analyzed in detail in an upcoming research article. Please cite our paper "Navigating the massive world of reddit" if you use this data in your work. URL: http://arxiv.org/abs/1312.3387 The file is organized as follows: Each line is an entry for an anonymous user. Each user was randomly assigned a unique ID, which is what shows in the first entry of each line. Following the user ID, separated by commas, are the subreddits (i.e., interests) that the user regularly posts in. In order for a user to be considered "active" in that subreddit, they had to post or comment there at least 10 times in their last 1,000 posts and comments.

Preprint

Abstract

The World Wide Web is a complex interconnected digital ecosystem, where information and attention flow between platforms and communities throughout the globe. These interactions co-construct how we understand the world, reflecting and shaping public discourse. Unfortunately, researchers often struggle to understand how information circulates and evolves across the web because platform-specific data is often siloed and restricted by linguistic barriers. To address this gap, we present a comprehensive, multilingual dataset capturing all Wikipedia links shared in posts and comments on Reddit from 2020 to 2023, excluding those from private and NSFW subreddits. Each linked Wikipedia article is enriched with revision history, page view data, article ID, redirects, and Wikidata identifiers. Through a research agreement with Reddit, our dataset ensures user privacy while providing a query and ID mechanism that integrates with the Reddit and Wikipedia APIs. This enables extended analyses for researchers studying how information flows across platforms. For example, Reddit discussions use Wikipedia for deliberation and fact-checking which subsequently influences Wikipedia content, by driving traffic to articles or inspiring edits. By analyzing the relationship between information shared and discussed on these platforms, our dataset provides a foundation for examining the interplay between social media discourse and collaborative knowledge consumption and production.

Datasheet

Motivation

The motivations for this dataset stem from the challenges researchers face in studying the flow of information across the web. While the World Wide Web enables global communication and collaboration, data silos, linguistic barriers, and platform-specific restrictions hinder our ability to understand how information circulates, evolves, and impacts public discourse. Wikipedia and Reddit, as major hubs of knowledge sharing and discussion, offer an invaluable lens into these processes. However, without comprehensive data capturing their interactions, researchers are unable to fully examine how platforms co-construct knowledge. This dataset bridges this gap, providing the tools needed to study the interconnectedness of social media and collaborative knowledge systems.

Composition

WikiReddit, a comprehensive dataset capturing all Wikipedia mentions (including links) shared in posts and comments on Reddit from 2020 to 2023, excluding those from private and NSFW (not safe for work) subreddits. The SQL database comprises 336K total posts, 10.2M comments, 1.95M unique links, and 1.26M unique articles spanning 59 languages on Reddit and 276 Wikipedia language subdomains. Each linked Wikipedia article is enriched with its revision history and page view data within a ±10-day window of its posting, as well as article ID, redirects, and Wikidata identifiers. Supplementary anonymous metadata from Reddit posts and comments further contextualizes the links, offering a robust resource for analysing cross-platform information flows, collective attention dynamics, and the role of Wikipedia in online discourse.

Collection Process

Data was collected from the Reddit4Researchers and Wikipedia APIs. No personally identifiable information is published in the dataset. Data from Reddit to Wikipedia is linked via the hyperlink and article titles appearing in Reddit posts.

Preprocessing/cleaning/labeling

Extensive processing with tools such as regex was applied to the Reddit post/comment text to extract the Wikipedia URLs. Redirects for Wikipedia URLs and article titles were found through the API and mapped to the collected data. Reddit IDs are hashed with SHA-256 for post/comment/user/subreddit anonymity.

Uses

We foresee several applications of this dataset and preview four here. First, Reddit linking data can be used to understand how attention is driven from one platform to another. Second, Reddit linking data can shed light on how Wikipedia's archive of knowledge is used in the larger social web. Third, our dataset could provide insights into how external attention is topically distributed across Wikipedia. Our dataset can help extend that analysis into the disparities in what types of external communities Wikipedia is used in, and how it is used. Fourth, relatedly, a topic analysis of our dataset could reveal how Wikipedia usage on Reddit contributes to societal benefits and harms. Our dataset could help examine if homogeneity within the Reddit and Wikipedia audiences shapes topic patterns and assess whether these relationships mitigate or amplify problematic engagement online.

Distribution

The dataset is publicly shared with a Creative Commons Attribution 4.0 International license. The article describing this dataset should be cited: https://doi.org/10.48550/arXiv.2502.04942

Maintenance

Patrick Gildersleve will maintain this dataset, and add further years of content as and when available.

SQL Database Schema

Table: posts

Table: comments

Table: postlinks

Table: commentlinks

The number of Reddit users in Romania was forecast to increase between 2024 and 2028 by in total *** million users (+**** percent). This overall increase does not happen continuously, notably not in 2027 and 2028. The Reddit user base is estimated to amount to **** million users in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like Bulgaria and Serbia.

This dataset contains posts from 28 subreddits (15 mental health support groups) from 2018-2020. We used this dataset to understand the impact of COVID-19 on mental health support groups from January to April, 2020 and included older timeframes to obtain baseline posts before COVID-19.

Please cite if you use this dataset:

Low, D. M., Rumker, L., Torous, J., Cecchi, G., Ghosh, S. S., & Talkar, T. (2020). Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. Journal of medical Internet research, 22(10), e22635.

@article{low2020natural,
 title={Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study},
 author={Low, Daniel M and Rumker, Laurie and Torous, John and Cecchi, Guillermo and Ghosh, Satrajit S and Talkar, Tanya},
 journal={Journal of medical Internet research},
 volume={22},
 number={10},
 pages={e22635},
 year={2020},
 publisher={JMIR Publications Inc., Toronto, Canada}
}

License

This dataset is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/

It was downloaded using pushshift API. Re-use of this data is subject to Reddit API terms.

Reddit Mental Health Dataset

Contains posts and text features for the following timeframes from 28 mental health and non-mental health subreddits:

• 15 specific mental health support groups (r/EDAnonymous, r/addiction, r/alcoholism, r/adhd, r/anxiety, r/autism, r/bipolarreddit, r/bpd, r/depression, r/healthanxiety, r/lonely, r/ptsd, r/schizophrenia, r/socialanxiety, and r/suicidewatch)
• 2 broad mental health subreddits (r/mentalhealth, r/COVID19_support)
• 11 non-mental health subreddits (r/conspiracy, r/divorce, r/fitness, r/guns, r/jokes, r/legaladvice, r/meditation, r/parenting, r/personalfinance, r/relationships, r/teaching).

filenames and corresponding timeframes:

• post: Jan 1 to April 20, 2020 (called "mid-pandemic" in manuscript; r/COVID19_support appears). Unique users: 320,364.
• pre: Dec 2018 to Dec 2019. A full year which provides more data for a baseline of Reddit posts. Unique users: 327,289.
• 2019: Jan 1 to April 20, 2019 (r/EDAnonymous appears). A control for seasonal fluctuations to match post data. Unique users: 282,560.
• 2018: Jan 1 to April 20, 2018. A control for seasonal fluctuations to match post data. Unique users: 177,089

Unique users across all time windows (pre and 2019 overlap): 826,961.

See manuscript Supplementary Materials (https://doi.org/10.31234/osf.io/xvwcy) for more information.

Note: if subsampling (e.g., to balance subreddits), we recommend bootstrapping analyses for unbiased results.

The global number of Reddit users in was forecast to continuously increase between 2024 and 2028 by in total 52.1 million users (+10.33 percent). After the ninth consecutive increasing year, the Reddit user base is estimated to reach 556.59 million users and therefore a new peak in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like Asia and Europe.

Context

Analyse the popularity of public subreddits

Content

The CSV contains a long list of every subreddit on Reddit. There are a total of 1067472 subreddits and the columns in the dataset are:

• base10 id,
• base36 reddit id,
• creation epoch,
• subreddit name,
• number of subscribers

Acknowledgements

This dataset was originally published on /r/datasets by /u/Stuck_In_the_Matrix

Inspiration

• What's on Reddit?
• Find your subreddit