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.

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; ...).

Raw Data Set for Screen Time cross-sectional study.

According to a survey of media users in the United States fielded in December 2024, TV took up ** percent of time spent with entertainment screens by respondents over the age of 35 years. The surveyed Gen Z consumers spent ** percent of their entertainment screen time with TV, while they devoted ** percent of that time to gaming.

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

Dataset

This dataset was created by Sophia MacQueen Pooler

Contents

Children aged 8 to 12 years spent an average of *** hours and ** minutes watching TV or videos daily in the United States in 2021. However, they spent an average of **** minutes reading books or articles online.

Title: Group Health (Sleep and Screen Time) Dataset

The statistic presents data on the average amount of screen time parents allow their child a day in the United States as of January 2018, by ethnicity. During the survey, ** percent of respondents of Hispanic respondents stated that they allowed their child *********** hours of screen time per day.

According to a survey of parents in the United States conducted in September 2022, besides time granted for homework and educational purposes, ** percent of respondents who work fully in-person allowed over ***** hours of screen time to their children daily. In comparison, approximately *** in ** percent of respondents who worked fully or partially in remote allowed over ***** hours of daily engagement with digital devices.

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.

.csv data file

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.

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. 🚀

This is an exploratory study which determines to associate the presence of spoken language disorder among pre-school schildren with increased screentime.

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.

Dataset used from the Mums, Dads and Kids study assessing the cross sectional associations of screen time and outdoor play with social skills in preschool children

According to a 2023 survey conducted in the United States, Gen Z respondents were spending the most time using their phones, over *** hours a day. By contrast, Baby Boomers recorded a daily screen time of roughly ***** hours and ** minutes.  Many users feel addicted to smartphones As technology’s role in our everyday life increases, consumers tend to spend more and more time using electronic devices, whether it is for working and studying on laptops and tablets, watching TV or scrolling social media on smartphones. As a consequence, many users across all generations feel somewhat addicted to smartphones. According to a 2023 survey conducted in the United States, Gen Z users felt addicted to such devices the most, followed by Millennials. Taking a step back and nostalgia for early 2000s How can we combat the overwhelming urge to stay connected and take a step back from our always-on reality? In an effort to reduce screen time, many users, especially those in Gen Z, are expressing a sense of nostalgia for early 2000s technology, particularly dumb phones and wired headphones. For instance, during a 2024 survey in the United States, ** percent of Gen Z respondents stated they would be interested in purchasing dumb phones, followed by ** percent of Millennials - a trend that might involve more users in the future.