This graph displays the screen time that French people spend in average on digital screens (smartphone, tablet or computer) per day, in a survey from 2019. It shows that French people aged between 18 and 34 years old spent the most time on screens: in average, screen time in this age group amounted to 5 hours and 48 minutes per day.

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.

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.

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. During the survey, ** percent of respondents stated that they allowed their child *********** hours of screen time per day.

Baseline Characteristics by Average Screen-Time.

This graph displays the screen time that French people spend in average on digital screens (smartphone, tablet or computer) per day in a survey from 2019. It shows that more than half of responding French people declared that they spend from 2 to 4 hours on digital screens daily.

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; ...).

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. 🚀

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.

Introduction

Digital Detox Statistics: Digital detox is a deliberate escape from all digital screens — be they phones, social apps, streaming, or even emails — to relax the mind and body. More people were aware of the hazards of screens in 2024 and were trying to cut back on them. At the same time, however, global screen time remained significantly higher, and businesses continued to develop new tools and services that promised to encourage people to unplug.

This article sorts through all the digital detox statistics from surveys, government, academic studies, as well as industry reports to figure out what happened with digital detox in 2024.

Background: Problematic smartphone use (PSU) has been associated with screen time in general, but little is known about the effect of different screen-based activities. We examined the associations of self-reported time spent on overall and specific screen-based activities with PSU and its addictive symptoms in Hong Kong Chinese adults.Methods: We analyzed data from 562 smartphone owners (56.5% female; 82.1% aged 25–64 years) in a population-based telephone survey in 2017. PSU was measured using Smartphone Addiction Scale-Short Version (range 10–60) which includes symptoms of daily-life disturbance, withdrawal, cyberspace-oriented relationship, overuse, and tolerance. Screen time was self-reported as average hours per day spent on the internet, online book/newspaper/magazine, online video, and social networking sites (SNS). Multivariable linear regression analyzed the associations of self-reported screen time with PSU severity and symptoms. Interaction effects of sex, age group, educational attainment, and monthly household income were examined.Results: Self-reported time spent on overall screen-based activities was associated with PSU severity (β = 1.35, 95% CI 0.15, 2.55) and withdrawal and overuse symptoms, after adjusting for sociodemographic and health-related variables. Independent association was observed for self-reported SNS time with PSU severity (β = 1.42, 95% CI 0.35, 2.49) and symptoms of withdrawal and cyberspace-oriented relationship, after mutually adjusting for time on other activities. The strongest association between self-reported SNS time and PSU severity was observed in younger than older adults (β = 4.36, 95% CI 2.58, 6.13; P for interaction = 0.004).Conclusions: The independent association of self-reported SNS time with PSU and core addictive symptoms highlighted the addiction potential of SNS use, particularly in younger users.

In 2023, users in Indonesia spent on average **** hours a day on their mobile phones, marking an increase from approximately *** hours in 2020. Mobile users in Thailand and India had the second and third highest daily screen times among the selected countries, averaging **** and **** hours, respectively. With the exception of Indonesia and South Korea, all the surveyed APAC countries saw an increase in mobile screen times over the previous year.

ObjectiveThis study aimed to assess smartphone use time and total screen time among students aged 10–19 in Shanghai, China, and examine their effects on academic stress.MethodsBaseline and follow-up surveys were conducted in December 2017 and December 2018, respectively, using a cohort study design with 1,771 participants. Questionnaire surveys and physical examinations of participants were conducted by trained investigators and professional school physicians, respectively. The self-administered questionnaire mainly covered demographic information, academic stress, smartphone use time, total screen time, and other lifestyle behaviors.ResultsThe average smartphone use time of primary, middle, and high school students was 0.76 ± 0.90, 1.34 ± 1.29, and 2.39 ± 1.66 h/day, respectively; total screen time was 2.60 ± 2.63, 2.65 ± 3.39, and 3.52 ± 2.7 h/day, respectively (P < 0.001). The academic stress scores of primary, middle, and high school students were 9.25 ± 3.96, 11.97 ± 4.58, and 15.06 ± 5.10 (out of 30), respectively. The smartphone use time and total screen time were positively associated with academic stress score, with β values of 0.307 (95% CI: 0.164–0.450) and 0.171 (95% CI: 0.088–0.255), respectively. The longer the smartphone use time and total screen time, the higher the risk of abnormal academic stress, with OR values of 1.199 (95% CI: 1.103–1.303) and 1.104 (95% CI: 1.056–1.154), respectively. After stratifying by grade group, positive associations between smartphone use time or total screen time and abnormal academic stress were observed in primary and middle school students; for high school students; however, only smartphone use time had a positive association.ConclusionsThis study confirmed that the academic stress is widespread among students aged 10–19 in Shanghai, China. From a public health perspective, smartphone use time and total screen time should therefore be restricted for reducing academic stress and preventing related problems among adolescents in Shanghai, China, in school, family, and other environments.

"Mobile phone usage is a global phenomenon, with billions of people worldwide using smartphones for communication, entertainment, and information. Average daily screen time varies across countries, with some nations spending over 5 hours per day on their devices."

Abstract The main objective of this study was to identify the association between combined effect of physical activity, reduction of screen time and overweight in adolescents. The sample of this cross-sectional study consisted of 613 adolescents, aged 15-18 years living in a municipality in northeastern Brazil. Physical activity was measured using the short-version IPAQ (International Physical Activity Questionnaire), and screen time was verified through two questions about the time that, on average, interviewees watched television, played video games, used the cell phone or computer on a normal weekday and one weekend day. The predictive power and cutoff points of screen time and physical activity for the outcome of interest were identified using the Receiver Operating Characteristic (ROC) curves. Different logistic regression models were proposed, with excess weight as dependent variable. In all models, the combination of little physical activity and long screen time was used as reference. A 95% confidence interval (CI) was used. In boys, the combination of physical activity and short screen time on a weekend day was inversely associated with overweight (OR = 0.31; 0.12-0.85). The combined effect of physical activity and reduced time spent watching TV, computer screen and similar devices on a weekend day is inversely associated with overweight in boys.

In 2020, the adult smartphone users in China spent an average of about two hours and ** minutes per day on their smartphones. Compared to the previous year, daily usage time increased by over ** percent. According to the forecast, smartphone users were projected to extend their screen time to almost four hours a day by 2023.

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.

Time spent playing outside and screen time of children at each time point and the average over all time points.

ObjectiveIn view of the current obesity epidemic, studies focusing on the interplay of playing outside (PO), screen time (ST) and anthropometric measures in preschool age are necessary to guide evidence-based public health planning. We therefore investigated the relationship between average time spent PO and ST from the ages 3 to 6 years and anthropometric measures at 6 years of age.MethodsPO and ST of 526 children of the European Childhood Obesity Project (CHOP) were annually assessed by questionnaire from 3 until 6 years of age. Body weight, waist circumference and height were measured at 3 and 6 years of age to calculate Body-Mass-Index z-Scores (zBMI) and waist-to-height ratio (WTH). Linear, logistic and quantile regressions were used to test whether average time spent PO and ST in the 4 year period had an effect on anthropometric measures at age 6 years.ResultsLonger daily ST was associated with a higher zBMI (P = 0.002) and WTH (P = 0.001) at 6 years of age. No significant associations were found for time spent PO. Each additional hour of average ST during the 4 year period resulted in a 66% higher risk of having a zBMI score over 1 (P < 0.001) and almost twice the risk (94% higher risk) of having an zBMI score over 2 (P < 0.001) at 6 years.ConclusionsExcessive ST during preschool age is a risk factor for increased zBMI at 6 years, regardless of time spent PO. Reducing high levels of ST during preschool age, for e.g. at least 1h per week, could help preventing childhood obesity.

As of May 2024, internet users in the United Kingdom (UK) spent over three hours daily on smartphones. Young consumers aged between 18 and 24 years reported spending over four and half hours of their online time on smartphones. The same audience spent around 40 minutes using tablets, and 46 minutes on computer devices each day while accessing the internet. The internet usage among individuals aged 65 and over was relatively lower, as they spent less than two hours daily using internet on smartphones, and even less than an hour on computer and tablet devices.