In 2021, there were 1.21 billion monthly active users of Meta's Instagram, making up over 28 percent of the world's internet users. By 2025, it has been forecast that there will be 1.44 billion monthly active users of the social media platform, which would account for 31.2 percent of global internet users.

How popular is Instagram?

Instagram, as of January 2022, was the fourth most popular social media platform in the world in terms of user numbers. YouTube and WhatsApp ranked in second and third place, respectively, whilst Facebook remained the most popular, with almost three billion monthly active users worldwide.

India had the largest number of Instagram users as of January 2022, with a total of over 230 million users in the country. The second-largest Instagram audience could be found in the United States, with almost 160 million people subscribing to the photo and video sharing app.

Gen Z and Instagram

As of September 2021, Gen Z users in the United States spent an average of five hours per week on Instagram. Although Instagram ranked third in terms of hours per week spent on the platform, Gen Z users spent considerably more time on TikTok, amounting to a weekly average of over 10 hours being spent on the mobile-first video app.

Most followed accounts on Instagram

As of May 2022, Instagram’s own account had 504.37 million followers. In terms of celebrities, Portuguese footballer Cristiano Ronaldo (@chistiano) had over 440.41 million followers on the social network. Moreover, the average media value of an Instagram post by Ronaldo was over 985,000 U.S. dollars.

The most liked post on Instagram as of May 2022 was Photo of an Egg, which was posted in 2019 by the account @world_record_egg. Photo of an Egg has not only exceeded 55 million likes on the platform, but it also has nearly 3.5 million comments, and the account itself has over 4.5 million Instagram followers. After mysterious posts published by the account, World Record Egg revealed itself as part of a mental health campaign aimed at the difficulties and demands of using social media.

Back in 2010, few could have predicted that a simple photo-sharing app would evolve into one of the world’s most influential platforms. Fast forward to 2025, and Instagram has become a digital cornerstone for creators, businesses, and consumers alike. From driving brand awareness to creating viral trends overnight, followers are...

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Access detailed insights with our Instagram datasets, featuring follower counts, verified status, account types, and engagement scores. Explore post information including URLs, descriptions, hashtags, comments, likes, media, posting dates, locations, and reel URLs. Perfect for understanding user engagement and content trends to drive informed decisions and optimize your social media strategies. Over 750M 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:

Account Fbid Id Followers Posts Count Is Business Account Is Professional Account Is Verified Avg Engagement External Url Biography Business Category Name Category Name Post Hashtags Following Posts Profile Image Link Profile URL Profile Name Highlights Count Highlights Full Name Is Private Bio Hashtags URL Is Joined Recently And much more

A complete list of live websites using the Instagram Followers Shortcode technology, compiled through global website indexing conducted by WebTechSurvey.

As of June 7th 2021, U.S. President Joe Biden's Instagram account @joebiden had over 18 million followers. There was a steep jump in the number of followers after January 20th when Biden's inauguration took place.

Joe Biden is a member of the Democratic Party and the 46th and current president of the United States.

Data for the official Instagram account with follower count and details

Data Type: Instagram Account Posts Data

Fields: 1. owner_id: Integer (Unique identifier for the owner of the Instagram account) 2. owner_username: String (Username of the owner of the Instagram account) 3. shortcode: String (Unique identifier for the post) 4. is_video: Boolean (Indicator if the post is a video or not) 5. caption: String (Caption text accompanying the post) 6. comments: Integer (Number of comments on the post) 7. likes: Integer (Number of likes on the post) 8. created_at: Integer (Timestamp indicating the creation time of the post) 9. location: String (Location associated with the post, if any) 10. imageUrl: String (URL of the image associated with the post) 11. multiple_images: Boolean (Indicator if the post contains multiple images) 12. username: String (Username of the Instagram account) 13. followers: Integer (Number of followers of the Instagram account) 14. following: Integer (Number of accounts the Instagram account is following)

The data was last updated Feb 2024.

Instagram is an American photo and video sharing social networking service founded in 2010 by Kevin Systrom and Mike Krieger, and later acquired by American company Facebook Inc., now known as Meta Platforms. The app allows users to upload media that can be edited with filters and organized by hashtags and geographical tagging. Posts can be shared publicly or with preapproved followers. Users can browse other users' content by tag and location, view trending content, like photos, and follow other users to add their content to a personal feed.

Instagram network is very much used to influence people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

Data Dictionary

This horizontal bar chart displays Instagram followers (followers) by country using the aggregation sum in Japan. The data is about politicians.

This dataset contains 30,000 Instagram posts with detailed analytics generated to mimic real Instagram Insights behavior from the past 12 months. It includes media performance indicators such as likes, comments, shares, saves, reach, impressions, and engagement rate. The data reflects realistic patterns of Instagram’s algorithm and content performance trends, including Reels, Photos, Videos, and Carousels.

This dataset is ideal for: Social media analytics Trend prediction Engagement modeling Machine learning Influencer performance analysis Dashboard creation Growth forecasting Reels vs. Posts comparisons

All upload dates are within the previous 365 days, making the dataset time-relevant and aligned with current Instagram usage behavior.

COLUMN DESCRIPTIONS

Post_ID A unique ID for each Instagram post. Useful as a primary key.

Upload_Date The date the post was uploaded, within the last 1 year.

Media_Type Type of content: Photo, Video, Reel, or Carousel. Important for performance comparisons.

Likes Number of likes received by the post.

Comments Total comments the post received.

Shares How many times users shared the post.

Saves Number of users who saved the content. A major Instagram ranking factor.

Reach Unique accounts who saw the post.

Impressions Total views from all sources (may exceed reach).

Caption_Length Number of characters in the post caption.

Hashtags_Count Total hashtags used.

Followers_Gained How many followers were gained directly from this post.

Traffic_Source Where viewers discovered the post: Explore, Home Feed, Hashtags, Profile, Reels Feed, or External.

Engagement_Rate Percentage of engagement relative to impressions. Useful for performance scoring.

WHY THIS DATASET IS USEFUL

Instagram’s algorithm rewards: High saves Strong engagement rates Reels performance Discoverability through Explore Good content retention This dataset allows analysis of: High-performing media types Which traffic sources bring the most reach Ideal hashtag usage Relationship between caption length and engagement Factors influencing followers gained Predicting engagement rate trends

Instagram data serves as the perfect tool for finding your target audience and enhancing your marketing strategy. First, you are working with the wealth of data provided by social media platforms. Businesses can don a detective cap with insights into consumer trends by data analysis on Instagram. Measure the success of influencer marketing campaigns. It also helps businesses engage their audience, know what type of content people are engaging with, and understand which demographics respond well to their messages so they can be specific with their marketing messages. In addition, data from Instagram helps businesses keep an eye on the activities of their competitors, keep track of brand mentions, and measure the impact of their social media campaigns. Utilizing this rich resource allows businesses to enhance customer interaction, foster increased brand loyalty, and ultimately stimulate commercial success. It is available on List To Data. Instagram number databases are a game-changer for marketers aiming to reach their audience effectively. They offer essential insights such as user profiles and engagement metrics. With more than 2 billion active users on Instagram globally, there’s a treasure trove of data to tap into. By utilizing this information, you can craft focused campaigns that make an impact. An Instagram number database gives you access to a comprehensive list of active users, enabling you to tailor your messages and boost engagement. Plus, these databases are frequently updated, providing you with fresh contacts for your marketing initiatives. Dive into an Instagram number database today and take your marketing strategy from List To Data.

Kindly refer to my paper for more information. Please cite my work if you use my dataset in any work : K. R. Purba, D. Asirvatham and R. K. Murugesan, "Classification of instagram fake users using supervised machine learning algorithms," International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 3, pp. 2763-2772, 2020.

The dataset was collected using web scraping from third-party Instagram websites, to capture their metadata and up to 12 latest media posts from each user. The collection process was executed from September 1st, 2019, until September 20th, 2019. The dataset contains authentic users and fake users, which were filtered using human annotators. The authentic users were taken from followers of 24 private university pages (8 Indonesian, 8 Malaysian, 8 Australian) on Instagram. To reduce the number of users, they are picked using proportional random sampling based on their source university. All private users were removed, which is a total of 31,335 out of 63,795 users (49.11%). The final number of public users used in this research was 32,460 users.

Var name | Feature name | Description pos | Num posts | Number of total posts that the user has ever posted. flg | Num following | Number of following flr | Num followers | Number of followers bl | Biography length | Length (number of characters) of the user's biography pic | Picture availability | Value 0 if the user has no profile picture, or 1 if has lin | Link availability | Value 0 if the user has no external URL, or 1 if has cl | Average caption length | The average number of character of captions in media cz | Caption zero | Percentage (0.0 to 1.0) of captions that has almost zero (<=3) length ni | Non image percentage | Percentage (0.0 to 1.0) of non-image media. There are three types of media on an Instagram post, i.e. image, video, carousel erl | Engagement rate (Like) | Engagement rate (ER) is commonly defined as (num likes) divide by (num media) divide by (num followers) erc | Engagement rate (Comm.) | Similar to ER like, but it is for comments lt | Location tag percentage | Percentage (0.0 to 1.0) of posts tagged with location hc | Average hashtag count | Average number of hashtags used in a post pr | Promotional keywords | Average use of promotional keywords in hashtag, i.e. {regrann, contest, repost, giveaway, mention, share, give away, quiz} fo | Followers keywords | Average use of followers hunter keywords in hashtag, i.e. {follow, like, folback, follback, f4f} cs | Cosine similarity | Average cosine similarity of between all pair of two posts a user has pi | Post interval | Average interval between posts (in hours)

Output : 2-class User classes : r (real/authentic user), f (fake user / bought followers) 4-class User classes : r (authentic/real user), a (active fake user), i (inactive fake user), s (spammer fake user) Note that the 3 fake user classes (a, i, s) were judged by human annotators.

Fake Instagram Profile Detection Dataset This dataset is designed for training and evaluating machine learning models to detect fake Instagram profiles. It contains various features extracted from Instagram user profiles, such as username characteristics, profile descriptions, follower counts, and engagement metrics. The dataset can be used for classification tasks to identify whether a profile is real or fake.

Dataset Features Profile Picture Availability: Whether the user has a profile picture. Numerical Ratio in Username: The proportion of numbers in the username. Full Name Analysis: Number of words in the full name and its numerical ratio. Username and Name Matching: Whether the username and full name are identical. Description Length: Number of characters in the user’s bio/description. External URL Presence: Whether the profile contains an external link. Account Privacy: Indicates whether the profile is private or public. Post Count: Total number of posts uploaded by the user. Follower Count: Number of followers the user has. Following Count: Number of accounts the user follows. Label Information The dataset is labeled to classify profiles as either fake (1) or real (0) based on the given features. Probability scores are also provided for classification.

Use Cases Machine learning classification models for fake profile detection. Exploratory data analysis on Instagram profile patterns. Feature engineering and data preprocessing for social media fraud detection. This dataset can Only be used by students and researchers working on cybersecurity not for production, social media analysis, and artificial intelligence applications.

This dataset about Most Instagram Followers is extracted from Flourish visualisation. If you want to know more about Flourish click here.

As of October 2025, India had the largest Instagram audience worldwide, with 480.55 million users. The United States ranked second with 181.75 million users, followed by Brazil with 147 million. However, Turkey recorded the highest audience reach, with 92.1 percent of its population using the platform. It took Instagram 11.2 years to reach the milestone of 2 billion monthly active users worldwide. Instagram’s demographics in the United States As of March 2025, Instagram was the fourth most visited social media service in the United States, after Facebook, Pinterest and X. Out of TikTok, Instagram and Snapchat, TikTok was the most used of all three platforms by Generation Z. Overall, 57 percent of Gen Z social media users used Instagram in 2021, down from 61 percent in 2020 and 64 percent in 2019. Instagram finds most popularity with those in the 25 to 34 year age group, and as of January 2025, roughly 28.3 of all users in the United States belonged to this age group. The social media app was also more likely to be used by women. Most followed accounts on Instagram Instagram’s official account had the most followers as of April 2024 with over 672 million followers. Manchester United forward Cristiano Ronaldo (@cristiano) had over 628 million followers on the platform, while the Argentinian footballer Lionel Messi (@leomessi) had over 502 million followers. The Instagram accounts of the American singer and actress Selena Gomez (@selenagomez) and the media personality and makeup mogul Kylie Jenner (@kyliejenner) had over 400 million followers each.

Cristiano Ronaldo has *** of the most popular Instagram accounts as of June 2025. The Portuguese footballer is the most-followed person on the photo sharing app platform with *** million followers. Instagram's own account was ranked first with roughly *** million followers. How popular is Instagram? Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached *** billion monthly active users in mid-2018. In 2020, there were over *** million Instagram users in the United States and experts project this figure to surpass *** million users in 2023. Who uses Instagram? Instagram audiences are predominantly young – recent data states that almost ** percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States. Celebrity influencers on Instagram Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was ******* U.S. dollars.

This dataset is about politicians in Japan. It has 569 rows. It features 3 columns: Instagram followers, and X link.

This bar chart displays Instagram followers (followers) by Instagram link using the aggregation sum in Japan. The data is about politicians.