78 datasets found
  1. Facebook users in the United States 2019-2028

    • statista.com
    • ai-chatbox.pro
    Updated Dec 12, 2024
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    Statista (2024). Facebook users in the United States 2019-2028 [Dataset]. https://www.statista.com/statistics/408971/number-of-us-facebook-users/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of Facebook users in the United States was forecast to continuously increase between 2024 and 2028 by in total 12.6 million users (+5.04 percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach 262.8 million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, 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.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).

  2. s

    Facebook Deactivation Participants

    • socialmediaarchive.org
    pdf, xlsx
    Updated May 21, 2024
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    (2024). Facebook Deactivation Participants [Dataset]. https://socialmediaarchive.org/record/61?v=pdf
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    xlsx(16172), xlsx(33969), pdf(813810)Available download formats
    Dataset updated
    May 21, 2024
    Description

    This table includes platform data for Facebook participants in the Deactivation experiment. Each row of the dataset corresponds to data from a participant’s Facebook user account. Each column contains a value, or set of values, that aggregates log data for this specific participant over a certain period of time.

  3. a

    Facebook Names Dataset

    • academictorrents.com
    bittorrent
    Updated Nov 11, 2015
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    Ron Bowes (Skull Security) (2015). Facebook Names Dataset [Dataset]. https://academictorrents.com/details/e54c73099d291605e7579b90838c2cd86a8e9575
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    bittorrent(2991052604)Available download formats
    Dataset updated
    Nov 11, 2015
    Dataset authored and provided by
    Ron Bowes (Skull Security)
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    171 million names (100 million unique) This torrent contains: The URL of every searchable Facebook user s profile The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc) Processed lists, including first names with count, last names with count, potential usernames with count, etc The programs I used to generate everything So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? >:-) Limitations So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don t have those capabilities right now. I d like to tackle that in the future, though, so if anybody has any bandwidth they d like to donate, all I need is an ssh account and Nmap installed. An additional limitation is that these are on

  4. E

    Facebook metadata dataset LiLaH-HAG

    • live.european-language-grid.eu
    • repository.uantwerpen.be
    binary format
    Updated Aug 23, 2022
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    (2022). Facebook metadata dataset LiLaH-HAG [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/20476
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    binary formatAvailable download formats
    Dataset updated
    Aug 23, 2022
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    The LiLaH-HAG dataset (HAG is short for hate-age-gender) consists of metadata on Facebook comments to Facebook posts of mainstream media in Great Britain, Flanders, Slovenia and Croatia. The metadata available in the dataset are the hatefulness of the comment (0 is acceptable, 1 is hateful), age of the commenter (0-25, 26-30, 36-65, 65-), gender of the commenter (M or F), and the language in which the comment was written (EN, NL, SL, HR).

    The hatefulness of the comment was assigned by multiple well-trained annotators by reading comments in the order of appearance in a discussion thread, while the age and gender variables were estimated from the Facebook profile of a specific user by a single annotator.

  5. r

    Data from: Statistical dataset on active Facebook users living outside of...

    • researchdata.se
    • datacatalogue.cessda.eu
    Updated Jun 20, 2024
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    Johanna Carolina Jokinen (2024). Statistical dataset on active Facebook users living outside of their country of origin in the European Union [Dataset]. http://doi.org/10.57804/1az8-bg71
    Explore at:
    (1793), (11498658), (2854027)Available download formats
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Uppsala University
    Authors
    Johanna Carolina Jokinen
    Area covered
    European Union
    Description

    This statistical dataset contains estimates on the number of active online Facebook users living outside of their country of origin within the European Union. The dataset includes information on Facebook users' age, gender, country of residence, and country of previous residence. The data is divided in the number of Monthly Active Users and Daily Active Users. The data was collected through standard CSV format via an advertising API platform by using an R Studio code, and the data collection was conducted twice a month from January to November 2021.

    The dataset was originally published in DiVA and moved to SND in 2024.

  6. f

    DataSets - Identification and characterization of Facebook user profiles...

    • figshare.com
    xlsx
    Updated May 9, 2018
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    Cristiane Nobre (2018). DataSets - Identification and characterization of Facebook user profiles considering interaction aspects [Dataset]. http://doi.org/10.6084/m9.figshare.6236921.v1
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    xlsxAvailable download formats
    Dataset updated
    May 9, 2018
    Dataset provided by
    figshare
    Authors
    Cristiane Nobre
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Dataset used in Article "Identification and characterization of Facebook user profiles considering interaction aspects"

  7. s

    Facebook User Attributes

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
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    (2023). Facebook User Attributes [Dataset]. http://doi.org/10.3886/vecn-ze56
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    csv(1618), xlsx(33969), pdf(724746)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    This Monthly Active Population (MAP) dataset contains aggregated Facebook attributes for adult US monthly active users.

  8. Number of Facebook users in Malaysia 2019-2028

    • statista.com
    Updated Dec 12, 2024
    + more versions
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    Statista (2024). Number of Facebook users in Malaysia 2019-2028 [Dataset]. https://www.statista.com/statistics/490484/number-of-malaysia-facebook-users/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    The number of Facebook users in Malaysia was forecast to continuously decrease between 2024 and 2028 by in total 2.2 million users (-9.36 percent). According to this forecast, in 2028, the Facebook user base will have decreased for the sixth consecutive year to 21.33 million users. User figures, shown here regarding the platform facebook, 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.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 further information concerning Indonesia and Singapore.

  9. Potential Issues with FB Advertising Algorithms...

    • figshare.com
    png
    Updated Jun 2, 2023
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    OS BH-Labs (2023). Potential Issues with FB Advertising Algorithms... [Dataset]. http://doi.org/10.6084/m9.figshare.767331.v1
    Explore at:
    pngAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    OS BH-Labs
    License

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

    Description

    This fileset contains a series of screenshots taken from our facebook advertising account. A few days ago we noticed that some negative "SEO" tactics, for lack of a better term, were having a negative impact on the performance of ads and fan engagement on the facebook page that we've been building.

    I developed a custom software package, which utilizes nueural networks I've developed, to identify a target demographic, and suggest advertising content for said target demographic.

    After a short training period we were able to create advertisemsents on facebook that averaged a cost of 0.01 cents per like. We also had a fan page engagement of nearly 4 times that of major brands like Wal-Mart.

    Shortly after we began to obtain success we started noticing problems with our page. Since we have a stalker issue, we determined that the issues with our page were likely related to him.

    We assued this because we had a disproportinately high number of spammy, negative, and inapporpriate comments on our posts. Offline harassment of our staff by the stalker also increased significantly during this time.

    Curiously, we believe that the incident with the stalker allowed us to ascertain some interesting observations about Facebook's algorithims, which I've outlined below.

    We believe, after reseraching this issue, that Facebook's algorithims suffer from the following issues:

    1. They are easily gamed. We think that Facebook's algorithims are hypersensitive to negative comments being made on a post, and conversely likely positive ones as well. If a post is hidden, the comments are negative, or if a user interacts with the post negatively in some way, then Facebook's algorithims will "punish" your page.

    2. We think that a series of scripted fake bot accounts would easily cause the issues that we've been expriencing.

    As you can see from the data provided, over 90% of our likes come from paid facebook advertisement, therefore we do not have a significant number of fake accounts on our page brought in by third party advertising because we didn't do any of that.

    Moreover, we did not send any of our fans obtained via mailing lists, or offline contact to our facebook page, those fans participate with us via email and/or through our private Google+ community.

    So it is safe to say that our problems have not been caused by purchasing a large amount of fake likes from any third party vendor.

    In addition, because our likes were gained very quickly, at a rate of about 2.5k likes a day, we do not believe that we have suffered from changes in the general demographic of our Facebook fan base over time.

    Yet almost immediately after we started expericing trolling issues with our page, we also noticed a dip in the number of fans our posts were shown to by Facebook, and the performance of our ads began to go down, even though the content on our page had not changed.

    We attributed this to holes in Facebook's algorithims, and potentially to the excessive use of fake bot accounts by Facebook itself.

    We cannot prove the latter satement, but there have been similar reports before. Reference - http://www.forbes.com/sites/davidthier/2012/08/01/facebook-investigating-claims-that-80-of-ad-clicks-come-from-bots/

    This article from Forbes outlines how one startup company repoted that up to 80% of their Facebook likes were fake bot accounts even though they paid for advertising directly through Facebook.

    Our reserach suggests that Facebook's advertising platform functions as follows: - An advertiser pays for likes with Facebook, and the quality of the content on their page is initially assessed by those who are liking the page, but once the page obtains a following, we believe that the quality of the content is assessed by how many people like the posts on the page directly after they are posted.

    If a post gets hidden, marked as spammed, skipped over, whatever, then we beleive that Facebook kicks that post out of the newsfeeds. If this happens to a significant number of posts on the page, then we believe that Facebook places the page on an advertising black-list.

    Once on this black-list ads will begin to perform poorly, and content will drop out of newsfeeds causing even the most active page to go silent.

    We tested this by posting pictures of attractive blond women, which with our demographic would have normally obtained a large number of likes and we struggled to get even 10 likes at over 20k page likes when we would have previosuly obtained almost 100 likes without boosting at only 5k page likes.

    Why this probably isn't seen more often: In most cases this probably takes a while to occur as pages become old and fans grow bored, but in our case, because we have a stalker trolling our page with what appears to be hundres of scripted bot accounts, the effect was seen immediately.

    Our data suggests that it became a tug of war between our stalker's army of fake bot accounts (making spammy comments, hiding our posts from newsfeeds, etc) and the real fans that actually like our page (who were voting our conent up - i.e. liking it, etc).

    If you look at the graph of page likes in the figures provided - you can see that the darker purple are the fans we obtained via facebook advertising, well over 90%. We believe that the light purple (the "organic" fans) is mostly comprised of our stalker's fake drone accounts. We have less than 20 family members and friends liking our page, when we began this experiment we asked them not to interact with our page or the content.

    In conclusion: We still have a lot more work to do, but it is highly likely that many Facebook likes are either scripted bots, and/or that Facebook's "weighting" algorithims are very suceptible to gaming via negative "SEO" tactics. Conversely, they are likely sensitive to gaming via positive "SEO" tactics as well.

    Of course we cannot say for certain where the Facebook accounts that like a page come from without acess to their internal systems, but the evidence does strongly suggest that Facebook might be plagued with a large quantity of bot accounts, and that their algorithim has to be sensitive to actions from live users, so that the quality of the content can be easily ascertained. Otherwise it would be pretty easy for an advertiser to game Facebook's system by paying for, and getting, a large quantity of likes for content that is not appealing to any significant group of people.

    Again we have to reiterate that we have no solid proof of this, but our data strongly suggests that this is the case.

    We have reported the issues to Facebook, but interestingly, after we made it clear that we were going to analyze and investigate the issues with our page, we have been suddenly and incessently plagued with a never ending stream of "technical difficulties" related to our advertising account.

    If you'd like to collaborate on this project, please feel free to email me at Jamie@ITSmoleculardesign.com.

  10. Facebook users in Indonesia 2019-2028

    • statista.com
    Updated Mar 27, 2025
    + more versions
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    Statista Research Department (2025). Facebook users in Indonesia 2019-2028 [Dataset]. https://www.statista.com/topics/8306/social-media-in-indonesia/
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Indonesia
    Description

    The number of Facebook users in Indonesia was forecast to continuously decrease between 2024 and 2028 by in total 20 million users (-11.04 percent). According to this forecast, in 2028, the Facebook user base will have decreased for the fifth consecutive year to 161.16 million users. User figures, shown here regarding the platform facebook, 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.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 Facebook users in countries like Thailand and Vietnam.

  11. s

    Exposure to Facebook Posts with Civic News URLs

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
    + more versions
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    (2023). Exposure to Facebook Posts with Civic News URLs [Dataset]. http://doi.org/10.3886/rnr8-jj22
    Explore at:
    xlsx(33969), pdf(724746), csv(76863), xlsx(44149)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who viewed posts with links to civic news URLs. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

  12. Facebook users in India 2019-2028

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Facebook users in India 2019-2028 [Dataset]. https://www.statista.com/forecasts/1136430/facebook-users-in-india
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The number of Facebook users in India was forecast to continuously increase between 2024 and 2028 by in total 59.2 million users (+8.7 percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach 739.66 million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, 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.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 Facebook users in countries like Nepal and Pakistan.

  13. Data from: Facebook Data

    • kaggle.com
    Updated Jul 15, 2018
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    Sheena Batra (2018). Facebook Data [Dataset]. https://www.kaggle.com/datasets/sheenabatra/Facebook-data/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sheena Batra
    Description

    This exploratory data analysis gives insights from Facebook dataset which consists of identifying users that can be focused more to increase the business. These valuable insights should help Facebook to take intelligent decision to identify its useful users and provide correct recommendations to them.

  14. Social Media Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 7, 2022
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    Bright Data (2022). Social Media Datasets [Dataset]. https://brightdata.com/products/datasets/social-media
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

    Dataset Features

    User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

    Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

    Popular Use Cases

    Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

    Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  15. TechCorner Mobile Purchase & Engagement Data

    • kaggle.com
    Updated Mar 23, 2025
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    Shohinur Pervez Shohan (2025). TechCorner Mobile Purchase & Engagement Data [Dataset]. https://www.kaggle.com/datasets/shohinurpervezshohan/techcorner-mobile-purchase-and-engagement-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shohinur Pervez Shohan
    License

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

    Description

    TechCorner Mobile Purchase & Engagement Data (2024-2025)

    Context

    TechCorner Mobile Sales & Customer Insights is a real-world dataset capturing 10 months of mobile phone sales transactions from a retail shop in Bangladesh. This dataset was designed to analyze customer location, buying behavior, and the impact of Facebook marketing efforts.

    The primary goal was to identify whether customers are from the local area (Rangamati Sadar, Inside Rangamati) or completely outside Rangamati. Since TechCorner operates a Facebook page, the dataset also includes insights into whether Facebook marketing is effectively reaching potential buyers.

    Additionally, the dataset helps in determining: ✔ How many customers are new vs. returning buyers ✔ If customers are followers of the shop’s Facebook page ✔ Whether a customer was recommended by an existing buyer

    This dataset is valuable for:

    Retail sales analysis to understand product demand fluctuations.
    
    Marketing impact measurement (Facebook engagement vs. actual purchase behavior).
    
    Customer segmentation (local vs. non-local buyers, social media influence, word-of-mouth impact).
    
    Sales trend analysis based on preferred phone models and price ranges.
    

    With a realistic, non-uniform distribution of daily sales and some intentional missing values, this dataset reflects actual retail business conditions rather than artificially smooth AI-generated data.

    Marketing & Customer Queries

    Does he/she Come from Facebook Page? → Whether the customer came from a Facebook page (Yes/No). Used to analyze Facebook marketing reach.
    
    Does he/she Followed Our Page? → Whether the customer is already a follower of the shop’s Facebook page (Yes/No). Helps measure brand loyalty and organic engagement.
    
    Did he/she buy any mobile before? → Whether the customer is a repeat buyer (Yes/No). Determines the percentage of returning customers.
    
    Did he/she hear of our shop before? → Whether the customer knew about the shop before purchasing (Yes/No). Identifies the impact of referrals or previous marketing efforts.
    
    Was this customer recommended by an old customer? → Whether an existing customer referred them to the shop (Yes/No). Helps evaluate the effectiveness of word-of-mouth marketing.
    

    Acknowledgements

    This dataset is derived from real-world mobile sales transactions recorded at TechCorner, a retail shop in Bangladesh. It accurately reflects customer purchasing behavior, pricing trends, and the effectiveness of Facebook marketing in driving sales. Special appreciation to TechCorner for providing comprehensive insights into daily sales patterns, customer demographics, and market dynamics.

    This dataset can be used for:

    📊 Predictive modeling of sales trends based on customer demographics and marketing channels. 📈 Marketing effectiveness analysis (impact of Facebook promotions vs. organic sales). 🔍 Clustering customers based on purchasing habits (new vs. returning buyers, Facebook users vs. walk-ins). 📌 Understanding demand for different smartphone brands in a local retail market. 🚀 Analyzing how word-of-mouth recommendations influence new customer acquisition.

    💡 Can you build a model to predict if a customer is likely to return? 💬 How effective is Facebook in driving actual sales compared to walk-ins? 🔍 Can we cluster customers based on behavior and brand preferences?

  16. Facebook: distribution of global audiences 2024, by age and gender

    • statista.com
    Updated Jun 17, 2025
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    Stacy Jo Dixon (2025). Facebook: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

                  Facebook connects the world
    
                  Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
                  as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
    
  17. Ethiopia - Facebook Users

    • data.humdata.org
    xlsx
    Updated Mar 26, 2025
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    3iSolution (2025). Ethiopia - Facebook Users [Dataset]. https://data.humdata.org/dataset/ethiopia-facebook-users
    Explore at:
    xlsx(48620)Available download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    3iSolution
    License

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

    Area covered
    Ethiopia
    Description

    This database contains regional estimates of Facebook users based on data from the Facebook Marketing API. It includes information on the number of individuals aged 18 and older who have accessed Facebook in the past month, with data separated by region. These estimates are intended for trend identification and triangulation purposes and are not designed to match official census data or other government sources.

    This data can be used as a proxy of internet access.

    It should be noted that there could be duplicates across different regions, and the data is anonymized by Meta.

  18. s

    Potential Exposure to Facebook Posts with Civic News URLs

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
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    (2023). Potential Exposure to Facebook Posts with Civic News URLs [Dataset]. http://doi.org/10.3886/snmc-n870
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    xlsx(44149), csv(76863), pdf(724746), xlsx(33969)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who potentially viewed posts with links to civic news URLs that were shared by one of their connections. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes potential audience size, content attributes, user attributes, political interest.

  19. Faceboon for Facebook Meta | Social Media Dataset

    • kaggle.com
    Updated Jul 8, 2023
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    Aman Chauhan (2023). Faceboon for Facebook Meta | Social Media Dataset [Dataset]. https://www.kaggle.com/datasets/whenamancodes/faceboon-for-facebook
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman Chauhan
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Facebook Meta: Unveiling the Next Era of Social Media

    Facebook, the leading social media platform, has embarked on a transformative journey, rebranding itself as Meta. This bold move marks a significant shift in their vision and strategy, as they aim to redefine social media and explore the potential of the metaverse. In this dataset, we delve into the world of Facebook Meta, providing a comprehensive overview of its features, impact, and the implications for the future of social media.

    Data Dictionary

    ColumnsDescription
    Page NameThe name of the Facebook page being analyzed
    Beginning of IntervalThe starting point of the analyzed time period
    Page LikesThe total number of likes the page has received
    Page Like GrowthThe increase or decrease in the number of page likes during the analyzed time period
    FollowersThe total number of followers the page has
    Follower GrowthThe change in the number of followers during the analyzed time period
    Post CountThe total number of posts made on the page
    Total InteractionsThe overall number of interactions (such as likes, comments, and shares) on the page's posts
    Interaction GrowthThe change in the total interactions during the analyzed time period
    Interaction RateThe rate at which interactions occur on the page's posts, usually measured as a percentage
    Interactions Per PostThe average number of interactions per post
    CommentsThe number of comments received on the page's posts
    SharesThe number of times the page's posts were shared by users
    Total Reactions (including Likes)The total number of reactions (such as likes, angry, haha, wow, sad, love) received on the page's posts
    LikesThe number of likes received on the page's posts
    AngryThe number of angry reactions received on the page's posts
    HahaThe number of haha reactions received on the page's posts
    WowThe number of wow reactions received on the page's posts
    SadThe number of sad reactions received on the page's posts
    LoveThe number of love reactions received on the page's posts
    Photo PostsThe number of posts that include photos
    Photo InteractionsThe number of interactions on photo posts
    Photo Interaction RateThe rate at which interactions occur on photo posts
    Link PostsThe number of posts that include links
    Link InteractionsThe number of interactions on link posts
    Link Interaction RateThe rate at which interactions occur on link posts
    Status PostsThe number of text-based status posts
    Status InteractionsThe number of interactions on status posts
    Status Interaction RateThe rate at which interactions occur on status posts
    Facebook Video Posts (excluding Live)The number of posts that include recorded videos (excluding live videos)
    Facebook Video Interactions (excluding Live)The number of interactions on recorded
    Facebook Video Interaction Rate (excluding Live)The rate at which interactions occur on recorded video posts (excluding live videos)
    Facebook Live Video PostsThe number of posts that include live videos
    Facebook Live InteractionsThe number of interactions on live video posts
    Facebook Live Interaction RateThe rate at which interactions occur on live video posts

    Date Range : Last 12 Months Data from July 8, 2023

    The Metaverse: Facebook Meta introduces the concept of the metaverse, a virtual reality space where users can interact and engage in a variety of experiences. This immersive environment goes beyond the confines of traditional social media, offering a new level of connectivity, creativity, and shared experiences.

    Enhanced Virtual Reality (VR) Capabilities: One of the key elements of Facebook Meta is its focus on VR technology. By leveraging their Oculus virtual reality platform, Meta aims to bring people together in virtual spaces, transcending physical boundaries. Users can connect, play games, attend events, and explore new dimensions through virtual reality.

    Avatars and Digital Identity: With the metaverse, users can create personalized avatars that represent their digital identity. These avatars allow individuals to express themselves creatively and engage in virtual interactions with others. Meta is working towards enabling more realistic and customizable avatars to enhance the social experience within the metaverse.

    Social Connections and Communities: Facebook Meta emphasizes the importance of social connections and communities within the metaverse. Users can join interest-based groups, form communities, and connect with like-minded individuals. This promotes collaboration, knowledge sharing, and fosters a sense of belonging within the virtual space.

    New Content Formats: As part of Meta's expansion, the pl...

  20. s

    Engagement with Facebook Posts with Civic News URLs

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
    + more versions
    Share
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    (2023). Engagement with Facebook Posts with Civic News URLs [Dataset]. http://doi.org/10.3886/n3r7-br77
    Explore at:
    xlsx(44149), pdf(724746), xlsx(33969), csv(76863)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who engaged with posts with links to civic news URLs and the volume of their engagement. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

Share
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Statista (2024). Facebook users in the United States 2019-2028 [Dataset]. https://www.statista.com/statistics/408971/number-of-us-facebook-users/
Organization logo

Facebook users in the United States 2019-2028

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51 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The number of Facebook users in the United States was forecast to continuously increase between 2024 and 2028 by in total 12.6 million users (+5.04 percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach 262.8 million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, 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.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).

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