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.

As of November 2025, South Korea had **** million Instagram users. By age group, those aged 25 to 34 made up the largest segment of the audience, totaling roughly *** million users, or around **** percent of the platform’s reach in the country. Instagram users and following Instagram’s popularity is growing, while the popularity of Facebook is declining, especially among younger users. The most popular South Korean Instagram profiles are those of celebrities. The most followed ones were all of K-Pop artists. Social media usage Social media is increasingly important for South Koreans and almost every South Korean aged between 18 and 34 years old is using social media. A different survey found that the most people followed accounts of people they know, even before celebrities. Accordingly, most respondents were using social media for its original purpose: socializing.

About Datasets: - Domain : Social Media Analytics (User Engagement) - Project: Instagram User Analysis Project - Dataset: insta user analysis dataset - Dataset Type: docx

KPI's: 1. Find the 5 oldest users of the Instagram from the database provided 2. Find the users who have never posted a single photo on instagram 3. Identify the winner of the contest and provide their details to the team 4. Identify and suggest the top 5 most commonly used hashtags on the platform 5. What day of the week do most users register on? Provide insights on when to schedule an ad campaign 6. Provide how many times does average user posts on Instagram. Also provide the total number of photos on Instagram/total number of users 7. Provide data on users (bots) who have liked every single photo on the site (since any normal user would not be able to do this)

Process: 1. Understanding the problem 2. Data Collection 3. Data Cleaning 4. Exploring and analyzing the data 5. Interpreting the results

This data contains create database, use, create table, int auto_increment unique primary key, varchar not null, timestamp default now, foreign key, references, insert into, select, count *, from group by, having, delete, where, and, describe, select distinct, left join, is null, order by, inner join, order by desc limit, date_format, sum, count.

These two data sets are gathered from Instagram users who were chosen randomly.

The Main data set encompasses data for 1K users including 500 men and 500 women. The Test data set encompasses data for 100 users including 50 men and 50 women.

Data gathered for each user includes :

1- number of posts

2- number of followers

3- number of followings

4- number of likes for the tenth previous post

5- number of likes for the eleventh previous post

6- number of likes for the twelfth previous post

7- number of self-presenting posts from nine previous posts

8- gender

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.

Instagram is a photo and short video sharing social network. It was founded in 2010 by software engineer Michel Krieger and computer programmer and former Google-employee Kevin Systrom. The iOS...

The number of Instagram users ranking is led by India with ****** million users, while the United States is following with ****** million users. In contrast, Seychelles is at the bottom of the ranking with **** million users, showing a difference of ****** million users to India. User figures, shown here with regards to the platform instagram, 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 *** 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).

Social Media User Behavior & Lifestyle – 1 Million Synthetic Users (Instagram 2025–2026 based)

This dataset contains 1,000,000+ fully synthetic user profiles that realistically simulate Instagram usage patterns combined with detailed demographic, lifestyle, health, and behavioral attributes.

All data is 100% synthetic — generated using statistical distributions and realistic correlations.
No real user data was used or collected. Perfectly safe for research, education, prototyping, and Kaggle competitions.

Dataset Overview

• Rows: 1,000,000 users
• Columns: 57
• File: instagram_usage_lifestyle_1million.csv (~250–350 MB uncompressed)
• License: CC0: Public Domain (use, modify, share freely)

Key Themes & Columns

Demographics & Background (19 columns)
age, gender, country, urban_rural, income_level, employment_status, education_level, relationship_status, has_children

Lifestyle & Health (10 columns)
exercise_hours_per_week, sleep_hours_per_night, diet_quality, smoking, alcohol_frequency, perceived_stress_score, self_reported_happiness, body_mass_index, blood_pressure_systolic, blood_pressure_diastolic, daily_steps_count

Daily/Weekly Habits (8 columns)
weekly_work_hours, hobbies_count, social_events_per_month, books_read_per_year, volunteer_hours_per_month, travel_frequency_per_year

Instagram Usage & Engagement (17 columns)
daily_active_minutes_instagram, sessions_per_day, posts_created_per_week, reels_watched_per_day, stories_viewed_per_day, likes_given_per_day, comments_written_per_day, dms_sent_per_week, dms_received_per_week, ads_viewed_per_day, ads_clicked_per_day, time_on_feed_per_day, time_on_explore_per_day, time_on_messages_per_day, time_on_reels_per_day, followers_count, following_count, notification_response_rate, average_session_length_minutes, content_type_preference, preferred_content_theme, privacy_setting_level, two_factor_auth_enabled, biometric_login_used, linked_accounts_count, subscription_status, user_engagement_score, account_creation_year, last_login_date, uses_premium_features

Built-in Realistic Correlations

• Higher perceived stress → increased daily active minutes & more reels/stories consumption
• Lower self-reported happiness → longer sessions & higher feed/reels time
• Younger age → significantly higher reels watched, posts created, follower growth
• More exercise & better sleep → slightly higher happiness & lower compulsive usage
• Higher income → increased likelihood of premium features & business accounts

Use Cases

• Exploratory Data Analysis (EDA) – discover links between screen time & well-being
• Predictive modeling – predict happiness/stress/sleep from usage patterns
• Clustering – identify user personas (doom-scroller, casual poster, aspiring influencer, etc.)
• A/B testing simulation – study behavioral effects
• Education & tutorials – great for teaching correlation, regression, feature engineering, large dataset handling
• Benchmarking – compare synthetic patterns vs real-world social media studies
• 100% synthetic – no real user data was accessed or used

Feedback, notebooks, or extensions welcome in the discussion tab.

These four datasets are gathered from Instagram users who were chosen randomly. The MainDataset encompasses data for 818 users. The TestDataset encompasses data for 78 users. Data gathered for each user includes : 1- number of posts 2- number of followers 3- number of followings 4- number of likes for the tenth previous post 5- number of likes for the eleventh previous post 6- number of likes for the twelfth previous post 7- number of self-presenting posts from nine previous posts 8- gender The MainDataset_after_150_days and TestDataset_after_150_days encompass data of the users of the Main data set and the Test data set, respectively, for after 150 days. For example, User_1 in the MainDataset has 486 posts and in the MainDataset_after_150_days has 562 posts, which means over the course of 150 days he had published 76 posts.

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.

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

There are approximatly 3 billion registered users on Instagram.

The Top Instagram Accounts Dataset is a collection of 200 rows of data that provides valuable insights into the most popular Instagram accounts across different categories. The dataset contains several columns that provide comprehensive information on each account's performance, engagement rate, and audience size.

1. The "rank": column lists the accounts in order of their popularity on Instagram, starting from the most followed account.

2. The "name": column displays the Instagram handle of the account, which can be used to locate and follow the account on Instagram.

3. The "channel_info": column provides a brief description of the account, such as the type of content it features or the products and services it offers.

4. The "Category": column categorizes the account based on its primary theme or subject matter, such as fashion, sports, entertainment, or food.

5. The "posts": column displays the total number of posts on the account. This column helps to understand the account's level of activity and the amount of content it has produced over time.

6. The "followers": column indicates the number of people who follow the account on Instagram.

7. The "avg likes": column displays the average number of likes that the account's posts receive per post.

8. The "eng rate": column calculates the account's engagement rate by dividing the total number of likes and comments received by the total number of followers, expressed as a percentage.

How you can use this Dataset?

The Top Instagram Accounts Dataset can be used in a variety of ways to gain insights into the performance and engagement levels of popular Instagram accounts. Here are a few examples of what you can do with this dataset:

1. Conduct category analysis: The dataset provides information on the category of each Instagram account. You can use this information to conduct a category analysis and identify the most popular categories on Instagram.

2. Identify top influencers: The dataset ranks Instagram accounts based on their follower count. You can use this information to identify the top influencers in different categories and use them for influencer marketing campaigns.

3. Analyze engagement levels: The dataset includes columns such as "avg likes" and "eng rate" that provide insights into the engagement levels of Instagram accounts. You can use this information to understand what type of content resonates with Instagram users and create more engaging content for your own account.

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.

As of July 2025, almost 33.3 percent of global Instagram audiences were aged between 25 and 34 years, and 29.7 percent of users were aged between 18 and 24 years. Overall, 17.4 percent of users belonged to the 35 to 44-year-old age group. Instagram users With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo-sharing app is especially popular in India and in the United States, which have about 480 million and 181 million Instagram users each. Instagram features One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream, and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo-sharing app that initially became famous due to its “vanishing photos” feature. As of the third quarter of 2025, Snapchat had 477 million daily active users.

59% of adults in the united states are using Instagram daily.

This dataset provides insights into the estimated number of Instagram users in various countries for the year 2024, along with their gender distribution. The data is sourced from a combination of public reports, industry analysis, and internal estimates.

As of June 2025, Instagram had approximately **** million users from Hong Kong. About *****percent of these users were female, with most being between the ages of ** and **.

Dataset

This dataset was created by Laxman

Contents

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.