As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominateIn an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdownAs most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

Female teens aged 13 to 18 years had an average daily entertainment screen time of ***** hours and *** minutes in the United States in 2021. In comparison, male tweens had an average screen time of *** hours and ** minutes.

The total daily entertainment screen time of teens, 13 to 18 year olds, amounted to ***** hours and ** minutes in the United States in 2021. Nevertheless, this figure for teens show an increase from the figure recorded in 2015, when it amounted to *** hours and ** minutes.

This dataset simulates screen time patterns of 9712 Indian children aged 8 to 18 years, built using real-world trends and scientific studies conducted in India between 2023–2024. It combines urban and rural demographics, reflecting differences in device access, screen habits, and health outcomes.

Screen time is broken down by:

Age and gender

Primary screen device (e.g., smartphone, TV)

Time split between educational and recreational use

Whether screen time exceeds Indian Academy of Pediatrics (IAP) guidelines

Likely health impacts (e.g., poor sleep, eye strain, anxiety)

📊 Background & Motivation In recent years, screen exposure among Indian children has surged, particularly post-COVID. Studies show:

Adolescents average 4–5 hours/day on screens.

Over 70% exceed the healthy recommended screen time.

83% of rural teens report excessive usage.

High screen time correlates with sleep problems, obesity risk, and anxiety.

According to a study on media usage in U.S. children and teenagers ages 8 to 18 years, tweens living in households with an annual income of less than ****** USD spent **** hours per day on screen media, whereas tweens in households with an annual income of above 100,000 USD spent **** hours per day on-screen media. Teens living in households with an annual income of less than ****** USD spent **** hours per day on screen media, while teens in households with an annual income of above 100,000 USD spent **** hours per day.

This table contains 2376 series, with data for years 2015 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Age group (3 items: Total, 6 to 17 years; 6 to 11 years; 12 to 17 years); Sex (3 items: Both sexes; Males; Females); Children's screen time (3 items: Total population for the variable children's screen time; 2 hours or less of screen time per day; More than 2 hours of screen time per day); Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).

From July 2021 to December 2023, over ** percent of the teenagers aged 15 to 17 surveyed in the United States had a screen time of four hours or more on a daily basis. Meanwhile, only **** percent of the teenagers aged 12 to 14 reported to have the same amount of daily screen time.

We surveyed 1,257 12- to 18-year-old adolescents attending 52 schools in urban or suburban areas of Argentina. We recorded the daily exposure to various screen-based activities, including video- and online-gaming, social media, TV or streaming. Screen time and device type in the hour before bedtime, sleep patterns during weekdays and weekends, somnolence (Pediatric Daytime Sleepiness Scale score), and grades in language and mathematics were also assessed.

From July 2021 to December 2023, over ** percent of the non-Hispanic Black teenagers aged 12 to 17 surveyed in the United States had a screen time of four hours or more on a daily basis. Meanwhile, only **** percent of the Asian teenagers in the same age group reported to have the same amount of daily screen time.

The data set presents the sociodemographic data of school children and correlation with variables

Title: Group Health (Sleep and Screen Time) Dataset

This datas real-world trends in children's screen time usage. It includes data on educational, recreational, and total screen time for children aged 5 to 15 years, with breakdowns by gender (Male, Female, Other/Prefer not to say) and day type (Weekday, Weekend). The dataset follows expected behavioral patterns:

Screen time increases with age (~1.5 hours/day at age 5 to 6+ hours/day at age 15).

Recreational screen time dominates, making up 65–80% of total screen time.

Weekend screen time is 20–30% higher than weekdays, with a larger increase for teenagers.

Slight gender-based variations in recreational screen time.

The dataset contains natural variability, ensuring realism, and the sample size decreases slightly with age (e.g., 500 respondents at age 5, 300 at age 15).

This dataset is ideal for data analysis, visualization, and machine learning experiments related to children's digital habits. 🚀

Introduction

Social Media Mental Health Statistics: Social media has many uses, but it often causes the most harm to younger users. Teens face significant mental health issues due to social media, and the COVID-19 pandemic made things worse by increasing screen time and social media use. This created more opportunities for teens to encounter online problems, worsening the situation.

Teens also use social media to find communities and interest groups, watch live streams, and support good causes. It’s important to US teens that they feel welcome and safe online. Despite some problems, social media offers many chances for connection and entertainment. We shall shed more light on the Social Media Mental Health Statistics through this article.

Raw Data Set for Screen Time cross-sectional study.

Dataset

This dataset was created by Sophia MacQueen Pooler

Contents

From July 2021 to December 2023, over ********* of the teenagers aged 12 to 17 surveyed in the United States who had a screen time of four hours or more on a daily basis experienced symptoms of anxiety or depression. In contrast, only **** and *** percent of the teenagers who reported to have daily screen time of less than **** hours experienced symptoms of anxiety and depression, respectively.

Dataset

This dataset was created by Ansh vajpai

Released under CC0: Public Domain

Contents

Introduction: Screentime is ubiquitous with children and parents concerned and anxious about its effect on the well-being of their children. This project uses the 2020 data from the National Survey of Children’s Health (NSCH) to determine if there is a correlation between the amount of weekday screentime in children ages 17 and younger and reported instances of mental health treatment and mental health treatment needed. Objectives: The primary objective of this project is to determine if there is a correlation between screentime and the mental health of children, ages 17 and younger. Methods: This project utilizes 2020 data from the NSCH, specifically the survey information collected about children ages 17 and younger on screentime, mental health professional treatment, and age of the child. Screentime refers to weekday time spent in front of a TV, computer, cellphone, or other electronic device watching programs, playing games, accessing the internet or using social media. After analyzing the three aforementioned variables, the percentage of mental health treatment occurrences by age group per screen time category indicates whether there is a correlation between children’s screentime and their mental health. Results: Preschool-aged (0-5 years old) children who spent 2 hours per weekday in front of a screen had the highest occurrence of mental health treatment, doubling the other categories of screentime. In school-aged (6-13 years old) children, there is a rise in mental health treatment needed as screentime increases. In adolescent (14-17 years old) children, there is a significant increase in the occurrence of mental health treatment as screentime increases, where 60% of adolescents who require mental health treatment spent four or more hours in front of a screen. Conclusions: There is a correlation between increased screentime and the occurrence of mental health treatment in children, particularly with the Adolescent (14-17 years old) age group.

In 2022, French children aged *** and younger spent on average *** hours watching television or on the internet per week, while the gaming screen time slightly surpassed **** hours. Teenagers spent a total screen time of ** hours and ** minutes online every week in France that same year.

.csv data file