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.

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...

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.

As of December 2025, the United Kingdom had **** million Instagram users. This figure marks a *** percent increase compared with the same month in the previous year. Influencers in the UK As of 2020, the most followed Instagram influencer in the UK was David Beckham. The former England international footballer and current president of Inter Miami FC had over ** million followers. DuaLipa was the top female influencer on Instagram in the UK.   Instagram demographics As of May 2025, Instagram's largest demographic in the UK is women between the ages of 25 and 34 years, which accounts for **** percent of the social platform's users in the country. In contrast, men and women belonging to the 65 years or older age group account for less than **** percent of the network's users in the UK. Instagram is most popular with the younger generation, much like another social media app which has recently been making waves; TikTok.  

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.

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.

The Instagram Reach Forecasting dataset contains data on the reach of Instagram posts for a period of 100 days. The data includes the following features:

Post ID: The unique identifier for each post. Date: The date the post was published. Reach: The number of people who saw the post. Engagement: The number of likes, comments, and shares the post received. Hashtags: The hashtags used in the post. User Count: The number of users who follow the account that published the post. Category: The category of the post (e.g., food, travel, fashion). This dataset can be used to train machine learning models to forecast the reach of Instagram posts. This information can be used by businesses and individuals to optimize their Instagram marketing campaigns.

Here are some of the ways this dataset can be used:

Businesses: Businesses can use this dataset to forecast the reach of their Instagram posts and optimize their marketing campaigns. For example, a business could use this data to determine which hashtags are most effective at reaching their target audience. Individuals: Individuals can use this dataset to track their own Instagram reach and improve their social media strategy. For example, an individual could use this data to determine which times of day they should post to get the most reach.

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.

Explore key Instagram followers statistics, including growth trends, engagement rates, demographic insights, and influencer metrics!

There are approximatly 3 billion registered users on Instagram.

2026

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

The most significant cohorts of users on Instagram are aged 18 – 24.

The overall number of posts by Indian influencers on Instagram amounted to nearly *** million in 2022. This was a slight decrease from the previous year by *** million. Despite the reduction in content, influencers belonging to the nano and micro levels exhibited some of the highest levels of engagement on Instagram in 2022. The social media platform was a driver of influencer marketing in the country with an average engagement rate of nearly **** percent that year.

Instagram generates a lot of data every day. When content creators post on Instagram, they do look at their engagement and reach to find the category of posts they should post more.

This dataset is collected from my Instagram account: amankharwal.official. It can be used to analyze the reach of posts on Instagram and understand how Instagram's algorithm works. Below are all the columns in this dataset:

1. Impressions: Number of impressions in a post (Reach)
2. From Home: Reach from home
3. From Hashtags: Reach from Hashtags
4. From Explore: Reach from Explore
5. From Other: Reach from other sources
6. Saves: Number of saves
7. Comments: Number of comments
8. Shares: Number of shares
9. Likes: Number of Likes
10. Profile Visits: Numer of profile visits from the post
11. Follows: Number of Follows from the post
12. Caption: Caption of the post
13. Hashtags: Hashtags used in the post

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.

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 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.

Data Type: Instagram Account Posts Data

Fields:

Post_id: Integer (Unique identifier for the owner of the Instagram account) Post_Type: Boolean (Indicator if the post is a video, image or carousel) comments: Integer (Number of comments on the post) likes: Integer (Number of likes on the post)