As of October 2025, the United States had approximately 96.9 million Pinterest users, making it the platform’s largest market worldwide. Brazil ranked second, with around 42.2 million users. Pinterest’s audience In the first quarter of 2024, Pinterest had a total of 518 million monthly active users (MAUs) worldwide, an increase of 2 million users from the previous quarter. Throughout 2021, the social media site saw a steady decline in MAUs, after seeing a constant increase throughout 2020. The increase in usage of many social media platforms coincides with the COVID-19 pandemic and consequent lockdowns. As of April 2024, significantly more women than men used Pinterest, with women making up almost 3/4 of its user base. The platform’s largest audience, in terms of gender and age, was women between the ages of 25 to 34, who accounted for more than a fifth of all users, followed by women aged 18 to 24 years. User satisfaction According to the American Customer Satisfaction Index (ACSI), as of June 2021, Pinterest scored the highest level of customer satisfaction for selected social media sites, ranking ahead of platforms such as YouTube, Wikipedia, and TikTok. Overall, Pinterest received a total score of 78 out of 100 index points. Pinterest’s financials For the financial year 2023, Pinterest generated over 3 billion U.S. dollars in global annual revenue, a rise from the previous year’s result of 2.8 billion U.S. dollars. The majority of this revenue was generated in the United States. Additionally, in the last quarter of 2023, the social media platform reported a net loss of over 200 million U.S. dollars. As of June 2023, Pinterest was one of the biggest consumer internet and online service companies worldwide in terms of market capitalization. With a market cap of 19 billion U.S. dollars, Pinterest ranked in 16th place, ahead of Chewy, Delivery Hero, and Etsy.

It began with a corkboard and a few colorful pins. A place where users could dream visually, plan weddings, redecorate kitchens, or map out travel itineraries. Today, Pinterest has matured into a dynamic visual search engine, e-commerce guide, and discovery platform used by millions. In 2025, it's no longer just...

This statistic shows the share of adults in the United States who were using Pinterest as of February 2021, sorted by gender. During that period of time, 46 percent of female respondents stated that they used the visual blogging site.

This statistic shows the share of adults in the United States who were using Pinterest as of February 2021, sorted by age group. During that period of time, 32 percent of respondents aged between 18 and 29 years stated that they used the visual blogging site.

This statistic shows the share of adults in the United States who were using Pinterest as of February 2021, sorted by educational background. During that period of time, 37 percent of respondents who had attained a college degree stated that they used the visual blogging site.

Pinterest, founded in 2009 and headquartered in San Francisco, California, is an image-oriented social media platform. As of October 2025, 70 percent of Pinterest audiences were female. Around 40 percent of Pinterest users, or Pinners, as they are affectionately known, are women aged between 18 and 34 years. The stamp of approval from U.S. consumers Pinterest generally garners a largely favorable user response. July 2023 saw Pinterest score 73 out of a possible 100 points with the American Customer Satisfaction Index (ACSI), surpassing LinkedIn, X (formerly Twitter), Instagram, and Facebook in terms of user approval. Another achievement that puts the service ahead of Facebook, Snapchat, and X is the 23.2 percent year-on-year growth in users in January 2024. What are Pinners searching for? Pinterest is mostly about creative ideas, such as DIY projects, lifestyle ideas, home decor, and recipes. Beauty, travel, wellness, and dating-related terms are topics that users also like to search for. Imaginative hairstyles and hair colors were prominent search terms in 2022, with the term "lavender and pink hair" experiencing a significant year-on-year increase.  In the last few years, interest in train travel and travel photography has also risen on the platform.

As of February 2025, 71 percent of Pinterest's audience in the United Kingdom were female and 22.9 percent were male. Pinterest is one of the most popular social platforms in the United Kingdom and has more than 15 million users in the UK. Pinterest is an image oriented social media platform in which recipes, DIY, fashion, and lifestyle related content have always been popular.

In the United Kingdom (UK), those aged between 18 and 24 years of age are more likely than any other age group to be Pinterest users. Those are the findings of a survey conducted by We Are Flint of internet users aged 18 years and over.

Females more likely to be pinning

Females in the UK are more likely than males to use Pinterest, with 45 percent of respondents saying they were Pinterest users, compared with 27 percent of males. It is a similar situation in the United States, where there are 58.9 million female Pinterest users, compared with 32.6 million male users.

Pinterest growth leads to IPO   

Pinterest has enjoyed solid growth in previous years, reaching 291 million active monthly users in the first quarter of 2019. The company launched an IPO on the back of this success in February 2019, and started trading during the following April. Worldwide, Pinterest generated 755.93 million U.S. dollars in revenue, up from 472.85 million the year before.

This dataset was used for the experiments presented in the article "Reconstructive Classification for Age and Gender Identification in Social Networks" - IEEE Transactions on Computational Social Systems

The dataset contains text data from 548,761 pins corresponding to 264 users of Pinterest.

There are 7 files.

The first 5 files correspond to the extracted textual features from the pins that are aggregated per user: ats, emojis/emoticons, hashtags, links, and words.

There are 264 lines in each file (one per user), as the concatenation of the extracted features from all the pins corresponding to each user.

The last 2 files are the labels for the age and gender of the users. There are also 264 lines (one per user).

For age, there are 4 possible labels: 18-24, 25-34, 35-46, and 50+

For gender, there are 2 possible labels: F and M

Image-based platform Pinterest reached a record number of monthly active users (MAUs) in the most recently reported financial quarter. In the third quarter of 2025, Pinterest had 600 million monthly active users worldwide, up from 578 million users in the second quarter of 2025. The company Launched in March 2010, Pinterest was the fastest site in history to reach 10 million unique monthly visitors and high user engagement metrics, a significant feat, especially when considering that during much of its initial launch and growth, the site was invitation-only. Despite many social networks going public within a few years post-launch (Twitter: six years; Snap Inc.: six years), Pinterest only filed for an IPO in February 2019, almost nine years after launch, and started trading on April 18, 2019. Pinterest usage The social site’s strong user engagement with popular topics and themes such as fashion, home, garden, and DIY, and subsequently, relevant brands and influencers, forms the basis for its leading position in the area of social marketing and commerce. In 2018, 600 million searches were performed using Pinterest Lens, a camera search that recommends ideas to try inspired by things seen offline.

Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

The dataset used for the experiments on Twitter and Pinterest.

As of October 2025, Pinterest’s global audience is dominated by women, particularly those aged 25 to 34, who make up **** percent of its user base. Another **** percent of users are women between 18 and 24 years old.

This report provides a snapshot of the social media usage trends among online Canadians adults in 2017.

Context

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fb984828c354c4d8e72965aa78d5503ee%2Fpinterest2.png?generation=1700270897504206&alt=media" alt="">

Based on their wikipedia page

Pinterest is an American image-sharing and social media service designed to enable saving and discovery of information (specifically "ideas") like recipes, home, style, motivation, and inspiration on the internet using images and, on a smaller scale, animated GIFs and videos, in the form of pinboards. The site was created by Ben Silbermann, Paul Sciarra, and Evan Sharp and it is operated by now Pinterest, Inc., and headquartered in San Francisco.

These reviews were extracted from its Google Store page.

Usage

This dataset should paint a good picture on what is the public's perception of the app over the years. Using this dataset, we can do the following

1. Extract sentiments and trends
2. Identify which version of the app had the most positive feedback, the worst.
3. Use topic modeling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

Dataset with 72000 pins from 117 users in Pinterest. Each pin contains a short raw text and an image. The images are processed using a pretrained Convolutional Neural Network and transformed into a vector of 4096 features.

This dataset was used in the paper "User Identification in Pinterest Through the Refinement of a Cascade Fusion of Text and Images" to idenfity specific users given their comments. The dataset includes the splits used in the paper.

There are nine files. text_test, text_train and text_val, contain the raw text of each pin in the corresponding split of the data. imag_test, imag_train and imag_val contain the image features of each pin in the corresponding split of the data. train_user and val_test_users contain the index of the user of each pin (between 0 and 116). There is a correspondance one-to-one among the test, train and validation files for images, text and users. There are 400 pins per user in the train set, and 100 pins per user in the validation and test sets each one.

If you have questions regarding the data, write to: jc dot gomez at ugto dot mx

This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products.

Metadata includes

• product IDs

• bounding boxes

Basic Statistics:

• Scenes: 47,739

• Products: 38,111

• Scene-Product Pairs: 93,274

As of February 2021, 21 percent of respondents in the United States who were using Pinterest said that they earned 30,000 U.S. dollars or less. A further share of 40 percent stated that their household income was over 75 thousand U.S. dollars.

Smoke And Fire V3 Pinterest Content

## Overview

Smoke And Fire V3 Pinterest Content is a dataset for object detection tasks - it contains Smoke annotations for 423 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Data collected and used on the article "The Impact of Visual Attributes on Image Diffusion", published at the Web Science 2014 conference.