As of February 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usage Currently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events and friends. Global impact of social media Social media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased polarization in politics, and heightened everyday distractions.

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

How many people use social media?

              Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.

              Who uses social media?
              Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
              when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.

              How much time do people spend on social media?
              Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.

              What are the most popular social media platforms?
              Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

This dataset was originally collected for a data science and machine learning project that aimed at investigating the potential correlation between the amount of time an individual spends on social media and the impact it has on their mental health.

The project involves conducting a survey to collect data, organizing the data, and using machine learning techniques to create a predictive model that can determine whether a person should seek professional help based on their answers to the survey questions.

This project was completed as part of a Statistics course at a university, and the team is currently in the process of writing a report and completing a paper that summarizes and discusses the findings in relation to other research on the topic.

The following is the Google Colab link to the project, done on Jupyter Notebook -

https://colab.research.google.com/drive/1p7P6lL1QUw1TtyUD1odNR4M6TVJK7IYN

The following is the GitHub Repository of the project -

https://github.com/daerkns/social-media-and-mental-health

Libraries used for the Project -

Pandas
Numpy
Matplotlib
Seaborn
Sci-kit Learn

In February 2024, adults in the United States aged between 18 and 24, spent 186 minutes per day engaging with social media platforms. In comparison, respondents aged 65 and older dedicated approximately 102 minutes of their day to social media. TikTok was the most engaging social media platform for U.S. consumers aged between 18 and 24 years. The popular video was also the most engaging among users aged 35 and 54 years, commanding between 45 and 50 minutes of users' daily attention. Respondents aged between 55 and 65, reported to spending between 45 minutes daily on Facebook.

*****Documentation Process***** 1. Data Preparation: - Upload the data into Power Query to assess quality and identify duplicate values, if any. - Verify data quality and types for each column, addressing any miswriting or inconsistencies. 2. Data Management: - Duplicate the original data sheet for future reference and label the new sheet as the "Working File" to preserve the integrity of the original dataset. 3. Understanding Metrics: - Clarify the meaning of column headers, particularly distinguishing between Impressions and Reach, and comprehend how Engagement Rate is calculated. - Engagement Rate formula: Total likes, comments, and shares divided by Reach. 4. Data Integrity Assurance: - Recognize that Impressions should outnumber Reach, reflecting total views versus unique audience size. - Investigate discrepancies between Reach and Impressions to ensure data integrity, identifying and resolving root causes for accurate reporting and analysis. 5. Data Correction: - Collaborate with the relevant team to rectify data inaccuracies, specifically addressing the discrepancy between Impressions and Reach. - Engage with the concerned team to understand the root cause of discrepancies between Impressions and Reach. - Identify instances where Impressions surpass Reach, potentially attributable to data transformation errors. - Following the rectification process, meticulously adjust the dataset to reflect the corrected Impressions and Reach values accurately. - Ensure diligent implementation of the corrections to maintain the integrity and reliability of the data. - Conduct a thorough recalculation of the Engagement Rate post-correction, adhering to rigorous data integrity standards to uphold the credibility of the analysis. 6. Data Enhancement: - Categorize Audience Age into three groups: "Senior Adults" (45+ years), "Mature Adults" (31-45 years), and "Adolescent Adults" (<30 years) within a new column named "Age Group." - Split date and time into separate columns using the text-to-columns option for improved analysis. 7. Temporal Analysis: - Introduce a new column for "Weekend and Weekday," renamed as "Weekday Type," to discern patterns and trends in engagement. - Define time periods by categorizing into "Morning," "Afternoon," "Evening," and "Night" based on time intervals. 8. Sentiment Analysis: - Populate blank cells in the Sentiment column with "Mixed Sentiment," denoting content containing both positive and negative sentiments or ambiguity. 9. Geographical Analysis: - Group countries and obtain additional continent data from an online source (e.g., https://statisticstimes.com/geography/countries-by-continents.php). - Add a new column for "Audience Continent" and utilize XLOOKUP function to retrieve corresponding continent data.

*****Drawing Conclusions and Providing a Summary*****

• The data is equally distributed across different categories, platforms, and over the years.
• Most of our audience comprises senior adults (aged 45 and above).
• Most of our audience exhibit mixed sentiments about our posts. However, an equal portion expresses consistent sentiments.
• The majority of our posts were located in Africa.
• The number of posts increased from the first year to the second year and remained relatively consistent for the third year.
• The optimal time for posting is during the night on weekdays.
• The highest engagement rates were observed in Croatia then Malawi.
• The number of posts targeting senior adults is significantly higher than the other two categories. However, the engagement rates for mature and adolescent adults are also noteworthy, based on the number of targeted posts.

The report provides a snapshot of the social media usage trends amongst online Canadian adults based on an online survey of 1500 participants. Canada continues to be one of the most connected countries in the world. An overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. However, the 2022 survey results show that the COVID-19 pandemic has ushered in some changes in how and where Canadians are spending their time on social media. Dominant platforms such as Facebook, messaging apps and YouTube are still on top but are losing ground to newer platforms such as TikTok and more niche platforms such as Reddit and Twitch.

The global social media penetration rate in was forecast to continuously increase between 2024 and 2028 by in total 11.6 (+18.19 percent). After the ninth consecutive increasing year, the penetration rate is estimated to reach 75.31 and therefore a new peak in 2028. Notably, the social media penetration rate of was continuously increasing over the past years.

Digital Habits and Employment Status Survey

American Digital Usage and Employment Trends

By Joshua Shepherd [source]

About this dataset

This comprehensive dataset provides a rich and multi-faceted exploration into the intriguing world of digital habits, employment status, and demographics of Americans. Inspired by evolving modern lifestyle trends, this dataset meticulously draws information from varied topics such as gaming habits, job search techniques and broadband usage.

The first part of the dataset delves into the realm of video games and gaming culture. It explores various aspects related to individual's preferences towards different types of games across diverse platforms. It uncovers insights into how much time users spend on these games, their favoured genres and platforms (such as consoles or PC), along with their perspectives on important issues concerning violence in video games.

Next up is an insightful dataset that revolves around job seeking trends through digital channels. In a fast-paced business world where online resources have started playing an integral role in career progression and job hunt processes, this data provides valuable insights about Americans' reliance on internet services for finding potential jobs.

Hard-hitting questions revolving around workforce automation form yet another component of this extensive database. This section throws light upon the use of computers, robots or artificial intelligence to carry out tasks traditionally performed by human workers.

Probing further into modern relationship dynamics comes queries pertaining to online dating landscape. This segment explores Americans' attitudes towards online dating platforms - their usual go-to applications/web portals for seeking new relationships or love interests.

Lastly but importantly is an exhaustive set containing facts and figures regarding home broadband usage among Americans across all age groups & genders including their access to crucial cable TV services & smartphone possession rates & dependency levels over them in daily life activities ranging from shopping to banking & even learning new skills!

Collectively offering a well-rounded snapshot at contemporary American societies –this explorative data aims at providing stepping stones for researchers trying to understand these realms thereby serving larger cause making our society better

How to use the dataset

This dataset provides a rich collection of information about the digital habits, employment status, and secondary demographic data of respondents from the June-July 2015 Gaming, Job Search, and Broadband Usage Among Americans survey. With multiple sections regarding diverse topics such as gaming, online job searches, internet usage patterns and more fundamental demographics details - this dataset can be used for various kinds of exploratory data analysis (EDA), machine learning models or creating informative visualizations.

Here is how you can get started with this dataset:

1. Exploring Digital Habits:

The questions about video games ask if a respondent ever plays video games on a computer or console. This can be used to identify key trends in digital habits among different demographic groups - for instance correlation between age or gender and propensity towards gaming.

2. Analysing Job Searches:

The job seeking portion has information regarding use of internet in search processes and its effectiveness according to respondents’ opinion. You could perform an analysis on how working status (or even age group) affects the way individuals employ technology during their job searches.

3. Studying Broadband Usage:

Data about broadband usage at home would give insights into internet adoption rates among various demographic groups.

4.Predictive Modelling:

Potential predictive modeling could include predicting someone's employment status based on their digital habits or vice versa.

5.Cross-Referencing Data Points:

Using two or more datapoints can yield some interesting results as well - like finding out if gamers are more likely than non-gamers to frequently change jobs or seeing if there is any correlation with high speed broadband usage and employment type etc.

Before conducting any analysis do keep in mind that it would be beneficial to conduct some basic cleaning tasks such as checking for missing values, removing duplicates etc., suitable encoding discrete variables including education level into numerical ones based upon intuition behind categories ordinality could also provide better model performance.

This is just scratching the surface of p...

During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis.

              Social media: trust and consumption

              Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media.

              What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis.
              Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers.
              Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.

For this project, data from 24-hour time diaries probing several indicators of social capital and life quality were gathered to update prior time series on how Americans spend time. Data were collected to be consistent with time-diary collections prepared in 1965, 1975, and 1985 (see ICPSR 7254, 7580, and 9875) to allow cross-time comparisons. The survey was conducted by the Survey Research Center at the University of Maryland between March 1998 and December 1999 (effectively covering each season of the year and each day of the week) with a representative sample of 1,151 respondents aged 18 and older. Using established time-diary procedures with Computer Assisted Telephone Interviewing (CATI), respondents were asked to complete "yesterday" time diaries detailing their primary activities from midnight to midnight of the previous day, their secondary activities (e.g., activities that occurred simultaneously with the primary activities), and when, with whom, and where they engaged in the activities. The project focus included the following substantive and methodological areas: (1) time spent in social interaction, particularly parental time with children, (2) measurement problems in time estimates, (3) activity and social interaction patterns of elderly Americans, and (4) time spent on the Internet and effects on social isolation and other media usage. In addition to the estimates of time use obtained from the time diaries, the project elicited information on (1) marital and parental status, education and employment status of the respondent and spouse (if married), age, race/ethnicity, and family income, (2) weekly and previous-day recall estimates of time spent on paid employment, housework, religious activities, and television viewing, (3) feelings of time pressure, and (4) use of the Internet, e-mail, and home computers.

Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

A global survey conducted in the third quarter of 2024 found that the main reason for using social media was to keep in touch with friends and family, with over 50.8 percent of social media users saying this was their main reason for using online networks. Overall, 39 percent of social media users said that filling spare time was their main reason for using social media platforms, whilst 34.5 percent of respondents said they used it to read news stories. Less than one in five users were on social platforms for the reason of following celebrities and influencers.

              The most popular social network

              Facebook dominates the social media landscape. The world's most popular social media platform turned 20 in February 2024, and it continues to lead the way in terms of user numbers. As of February 2025, the social network had over three billion global users. YouTube, Instagram, and WhatsApp follow, but none of these well-known brands can surpass Facebook’s audience size.
              Moreover, as of the final quarter of 2023, there were almost four billion Meta product users.

              Ever-evolving social media usage

              The utilization of social media remains largely gratuitous; however, companies have been encouraging users to become paid subscribers to reduce dependence on advertising profits. Meta Verified entices users by offering a blue verification badge and proactive account protection, among other things. X (formerly Twitter), Snapchat, and Reddit also offer users the chance to upgrade their social media accounts for a monthly free.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Phase II of a three stage project to develop community-based HIV prevention interventions and form and maintain the necessary community collaborations to support ATN research activities. Phase II described specific locations or venues within high-risk areas where youth spent time. HIV risk behaviors, prevalence, and social networking patterns among youth at these venues were assessed. At a series of meetings, the researcher-community partners established in Phase I discussed Connect 2 Protect (C2P) findings and shared input on recruitment venues, strategies, and other relevant topics. Primary objectives of the study were to identify specific community venues where at-risk youth could be recruited for interventions within the high-risk areas identified in Phase I; describe HIV risk behaviors, social networks, and HIV seroprevalence of adolescents and young adults recruited from targeted venues; and assess the characteristics, quality, and outcomes of the community-researcher partnerships.

During a January 2024 global survey among marketers, nearly 60 percent reported plans to increase their organic use of YouTube for marketing purposes in the following 12 months. LinkedIn and Instagram followed, respectively mentioned by 57 and 56 percent of the respondents intending to use them more. According to the same survey, Facebook was the most important social media platform for marketers worldwide.

In the academic year 2008/2009 Pernilla Garmy initiated a longitudinal study regarding sleep, media habits, and lifestyle in school aged children (ages 6–16; n=3011 in collaboration with all the school nurses in the city of Lund in southern Sweden. The results showed that the questionnaire was reasonable (Garmy et al. 2012a), that short sleep periods were associated with fatigue and less enjoyment in school (Garmy et al. 2012b), and that excessive screen time (i.e. time spent at television and/or computer) was linked with overweight children (Garmy et al. 2014). In the academic years 2011–2012 and 2012–2013, a follow-up study was conducted. The baseline investigation consisted of children who were 6–7 years old and about 10 years old during the follow-up investigation. The study was then repeated in collaboration with all of the school nurses in the city, and the survey and height and length measurements were conducted for all 10-year old school children during individual health visits with the school nurse (n=1300) (Garmy et al. 2018). This study showed that short sleep periods and long screen time were linked with obesity (Garmy et al. 2018). In the academic years 2015–2017, the students were about 14 years old, and the school nurse again offered a health visit that included height and weight measurements, and the school nurses once again collaborated and distributed the survey to the students (n=1518). At this time, interest in the study had started to spread, and in addition to the city of Lund, another four municipalities were included in the study. At present, this material is being analyzed in three master level theses, and the results should be published in scientific journals in 2018. The cohort is about 16 years during the academic years 2017–2019 and who have entered the first year in the secondary upper school, in which the school nurse once again will offer individual health visits. At this follow-up investigation, questions in the survey regarding physical activity, body image, and use of alcohol, tobacco, and drugs have been added. We have also received ethical approval to compare the survey responses regarding sleep, media, and lifestyle with the school grades that measure academic success. Our hypothesis is that sleep and media habits affect academic success. The sleep length of the students in our studies is about 30 to 40 minutes shorter than in the earlier studies of Klackenberg (1982) involving children born in the 1950s. Our results are in line with other studies that show that the sleep length has decreased among adults and also among children. According to an extensive literature review by Matricciani et al. (2012), sleep period has decreased by an hour among children and adolescents during the last 100 years. Today we live in a 24-hour society in which work and spare time are distributed around the clock. Television, computer games, and social media can be used around the clock. This happens at the same time as the adult population on addition to children and adolescents are facing increased sleeping difficulties, shorter sleep length, and stress-related problems. It is therefore of utmost importance to investigate sleep, media habits, and lifestyle in a longitudinal perspective.

Research Questions The aim of the current study was to investigate longitudinal sleep, media habits, body image, physical activity, and body mass index (BMI) among adolescents. Specific research topics were expressed in terms of six questions: 1. Do sleep patterns change over time? 2. Are different media habits associated with irregular or shorter sleep? 3. Are media habits and sleep length associated with obesity? 4. What is the prevalence of sleeping difficulties among adolescents? 5. Is there a link between physical activity, media habits, body image, obesity, and sleep? 6. Are the screening instruments, Minimal Insomnia Symptom Scale (MISS) and Insomnia Severity Index (ISI), valid and reliable among adolescents?

Project Relevance Sleep, media habits, and lifestyle among children and adolescents are in a rapidly changing. School has an important role to play in this area, and in school health care, we get many questions from children and parents regarding these issues. There is a lack of knowledge regarding sleep and media habits, and the way in which these habits are related to other lifestyle factors such as physical activity and obesity. Foremost, there is a great need for longitudinal studies in this area.

Method The sample consists of all students in first year of upper secondary school in the academic years 2017–2018 and 2018–2019 in four southern Swedish municipalities. Both public and private schools are included. The students will respond to a web-based survey regarding sleep, media habits, physical activity, body image, use of alcohol, tobacco, drugs, and self-reported health during the school day. The responses will be compared with grades (measuring academic success) and BMI (height and weight measurements by the school nurse).
The students have participated in the survey three times earlier: 1) at the ages of 6–7, 10, and 14. The survey has now been supplemented with Minimal Insomnia Sleep Symptoms questionnaire (MISS) (Broman et al., 2008, Westergren et al., 2015). Information about height and weight are collected from the school health journal. Trained school nurses have conducted all of the measurements. The weight is measured at a digital scale, which is calibrated annually. Children’s height is measured without their shoes using a manual height measure. BMI (kg/m2) is used to calculate the relative weight. Since BMI varies with the gender and age among the children, the international age and gender specific BMI curve developed by Cole et al. (2000) is used to identify adolescents who are overweight or obesity. Students with a BMI value correlating to >25 in late adolescence is classified as overweight, whereas a value correlating >30 is considered obese. Qualitative data will also be collected via focus adolescent group interviews regarding healthy sleep and media habits in addition to the phenomena Fear of Missing Out, FoMo. Qualitative content analysis (Graneheim & Lundman, 2004) will be used.

Abstract

The National Income Dynamics Study (NIDS) is a face-to-face longitudinal survey of individuals living in South Africa as well as their households. The survey was designed to give effect to the dimensions of the well-being of South Africans, to be tracked over time. At the broadest level, these were: Wealth creation in terms of income and expenditure dynamics and asset endowments; Demographic dynamics as these relate to household composition and migration; Social heritage, including education and employment dynamics, the impact of life events (including positive and negative shocks), social capital and intergenerational developments;
Access to cash transfers and social services

Wave 1 of the survey, conducted in 2008, collected the detailed information for the national sample. In 2010/2011 Wave 2 of NIDS re-interviewed these people, gathering information on developments in their lives since they were interviewed first in 2008. As such, the comparison of Wave 1 and Wave 2 information provides a detailed picture of how South Africans have fared over two years of very difficult socio-economic circumstances.

Geographic coverage

The survey had national coverage. The lowest level of geographic aggregation for the NIDS data is district municipality.

Analysis unit

The units of analysis in the survey are individuals and households.

Universe

The target population for NIDS was private households in all nine provinces of South Africa, and residents in workers' hostels, convents and monasteries. The frame excludes other collective living quarters, such as student hostels, old age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

As in Wave 1 four types of questionnaires were administered in Wave 2:

Household questionnaire: One household questionnaire was completed per household by the oldest woman in the household or another person knowledgeable about household affairs and particularly household spending. Household questionnaires took approximately 45 minutes in non-agricultural households and 70 minutes in agricultural households to complete. Individual Adult questionnaire: The Adult questionnaire was applied to all present Continuing Sample Members and other household member's resident in their households that are aged 15 years or over. This questionnaire took an average of 45 minutes per adult to complete. Individual Proxy Questionnaire: Should an individual qualifying for an Adult questionnaire not be present then a Proxy Questionnaire (a much reduced Adult Questionnaire using third party referencing in the questioning) was taken on their behalf with a present resident adult. On average a Proxy questionnaire took 20 minutes. Proxy Questionnaires were also asked for CSMs who had moved out of scope (out of South Africa or to a non-accessible institution such as prison), except if the whole household moved out of scope, and could therefore not be tracked or interviewed directly. Child questionnaire: This questionnaire collected information about all Continuing Sample Members and residents in their household younger than 15. Information about the child was gathered from the care-giver of the child. The questionnaire focused on the child's educational history, education, anthropometrics and access to grants. This questionnaire took an average of 20 minutes per child to complete.

Phase Two of Wave 2: In June 2011 NIDS commissioned a Phase Two of Wave 2 as a Non-Response Follow-Up from Phase 1 of Wave 2. Household included in this subsample where those that refused and those that could not be located or tracked in Phase 1. Out of a total of 1064 households attempted, an additional 389 households were successfully interviewed in Phase Two.

Questionnaire Differences between W2 Phase 1 & W2 Phase2 There are two important methodological differences between Phase 1 and Phase 2: 1. Not all sections of the original Wave 2 questionnaires were asked. This reduced respondent burden and the time required for fieldworker training. Questions NOT asked in Phase 2 are indicated with the non-response code “-2”. Core modules such as household composition and income were still asked. Consult the Wave 2 Phase 2 questionnaires for more details of these differences. 2. Movers out of Phase 2 dwelling units were not tracked further. Address information was collected for this sub-sample and they will be tracked as part of the Wave 3 fieldwork exercise. These individuals are classified as “Not tracked” in the Wave 2 dataset.

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Alcohol has historically, and continues to, hold an important role in social engagement and bonding for many. Social drinking or moderate alcohol consumption for many is pleasurable.

However, alcohol consumption – especially in excess – is linked to a number of negative outcomes: as a risk factor for diseases and health impacts, crime, road incidents, and, for some, alcohol dependence.

This topic page looks at the data on global patterns of alcohol consumption, patterns of drinking, beverage types, the prevalence of alcoholism, and consequences, including crime, mortality, and road incidents.

Related topics:

Data on other drug use can be found on our full topic page here.

Drug use disorders are often classified within the same category as mental health disorders — research and data on mental health can be found on our topic page here.

Support for alcohol dependency

At the end of this topic page, you will find additional resources and guidance if you, or someone you know, needs support in dealing with alcohol dependency.

Alcohol consumption across the world today This interactive map shows the annual average alcohol consumption of alcohol, expressed per person aged 15 years or older. To account for the differences in alcohol content of different alcoholic drinks (e.g., beer, wine, spirits), this is reported in liters of pure alcohol per year.

To make this average more understandable, we can express it in bottles of wine. Wine contains around 12% pure alcohol per volume1 so that one liter of wine contains 0.12 liters of pure alcohol. So, a value of 6 liters of pure alcohol per person per year is equivalent to 50 bottles of wine per year.

As the map shows, the average per capita alcohol consumption varies widely globally.

We see large geographical differences: Alcohol consumption across North Africa and the Middle East is particularly low — in many countries, close to zero. At the upper end of the scale, alcohol intake across Europe is higher.

Share of adults who drink alcohol This interactive map shows the share of adults who drink alcohol. This is given as the share of adults aged 15 years and older who have drunk alcohol within the previous year.

In many countries, the majority of adults drink some alcohol. Across Europe, for example, more than two-thirds do in most countries.

Again, the prevalence of drinking across North Africa and the Middle East is notably lower than elsewhere. Typically, 5 to 10 percent of adults across these regions drank in the preceding year, and in a number of countries, this was below 5 percent.

Alcohol consumption by sex When we look at gender differences, we see that in all countries, men are more likely to drink than women.

Data on the share who drink alcohol by gender and age group in the UK is available here.

Heavy drinking sessions Alcohol consumption – whilst a risk factor for a number of health outcomes – typically has the greatest negative impacts when consumed within heavy sessions.

This pattern of drinking is often termed 'binging,' where individuals consume large amounts of alcohol within a single session versus small quantities more frequently.

Heavy episodic drinking is defined as the proportion of adult drinkers who have had at least 60 grams or more of pure alcohol on at least one occasion in the past 30 days. An intake of 60 grams of pure alcohol is approximately equal to 6 standard alcoholic drinks.

The map shows heavy drinkers – those who had an episode of heavy drinking in the previous 30 days – as a share of total drinkers (i.e., those who have drunk less than one alcoholic drink in the last 12 months are excluded).

The comparison of this map with the previous maps makes clear that heavy drinking is not necessarily most common in the same countries where alcohol consumption is most common.

Data on the prevalence of binge drinking by age and gender in the UK can be found here, and trends in heavy and binge drinking in the USA can be found here.

Share of adults who don't drink alcohol Global trends on alcohol abstinence show a mirror image of drinking prevalence data. This is shown in the charts as the share of adults who had not drunk in the prior year and those who have never drunk alcohol.

Here, we see particularly high levels of alcohol abstinence across North Africa and the Middle East. In most countries in this region, the majority of adults have never drunk alcohol.

Global beer co...

The number of Twitter users in the United States was forecast to continuously increase between 2024 and 2028 by in total 4.3 million users (+5.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 85.08 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Twitter users in countries like Canada and Mexico.