The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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 population share with mobile internet access in countries like Caribbean and Europe.

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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 smartphone users in countries like Australia & Oceania and Asia.

Switzerland is leading the ranking by population share with mobile internet access, recording 95.06 percent. Following closely behind is Ukraine with 95.06 percent, while Moldova is trailing the ranking with 46.83 percent, resulting in a difference of 48.23 percentage points to the ranking leader, Switzerland. The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection. 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).

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There are a total of 17 questions in the survey, addressing the following categories:Internet useMobile phone use (smartphones & basic voice/SMS phones)Awareness and use of WikipediaGeneral demographicsThe survey collected 2500 total responses, representing populations in 5 geographical regions served by 3 mobile Iraqi operators. 3 language choices (Arabic, English, Kurdish) were provided.Here are the main questions this survey was designed to answer. However, analyzing the full data set allows you to conduct more in-depth data explorations and gain meaningful insights beyond the points presented here.What is the actual number of people who use the internet?(Real-world behavior makes this difficult to measure from industry reports, since people might have access to the internet through school, friends, internet cafés, public Wifi, etc.)For internet users: What do people mostly use the internet for?For non-internet users: Why not use the internet?How many people use smartphones?Do people with smartphones use the internet from just Wifi? Or just cellular service?How many people think that they don’t use the internet, but still use Facebook or WhatsApp?How many people have heard of Wikipedia? What do they use it for? How often?If they have heard of Wikipedia, but aren’t using it, why not?Compared to previous phone surveys in other countries, the 2017 Iraq phone survey presented new questions.What are people’s awareness of other major internet brands in comparison to Wikipedia?Can people find online content in their preferred language?How does data cost impact internet use?

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Guatemala call center mobile phone number list comes from our trusted source and opt-in source. Above all, this contact number list is very effective for business publicity through cold calls. Also, it is helpful to share your trade info by sending text messages to the buyers. They will know about this instantly and give you feedback. After buying this directory, we deliver it to you in a CSV or Excel format. You can use this in CRM software anytime.

Guatemala Call Center Database

Guatemala call center database is simple to use and great for your business. It comes with a full secure contact database that is 95% correct and safe. The number leads are made by following GDPR, so no worries. You can use it to send messages or grow your customer base. This directory is important for direct marketing. It benefits in multiple ways to run a business. So, you can add our Lead to Database website to your preferences to get verified contacts. Thus, it will give more profits than before if you utilize it properly. Therefore, take it now and create better opportunities in business.

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Buy Accurate Marketing Lead

Buy accurate marketing lead from our website. This call center dataset is a very significant element countrywide for telemarketing campaigns. Likewise, it is the most effective database that offers all B2C contacts. Moreover, Lead to Database is a very popular website for delivering 95% accurate contact numbers. As a vendor, you can promote organization details directly. This contact tool boosts productivity and brings a good return on investment (ROI).

Buy accurate marketing lead for your benefit. However, this valid phone data can be a potential tool for SMS marketing now. So, this contact package gives you many genuine sales leads at an affordable price. From this, the seller will get more profit than expenses from the business or marketing. The business development is increasing day by day through this database. Further, this data will play a vital role in your direct business method. So take it now.

Nepal Number Dataset is an index of Nepal contact numbers that are 100% accurate and valid. We always double-check to make sure that this record is correct. So, when you use this number library, you can trust that Nepal contact numbers work. And if you ever get an incorrect number, you get a replacement guarantee. This means that if a phone number doesn’t work, they will give you a new number at no extra cost. Moreover, the Nepal Number Dataset is very reliable. Use it with confidence, knowing that you are following the right steps for a smooth, successful outreach effort. The people on the list have agreed to share their mobile numbers. So, you are not breaking any rules when you use this database. And, getting the customer’s consent makes contacting them more welcoming and effective. Nepal phone data is detailed information about Nepal contact numbers. Trusted sources collect this phone data to ensure its reliability. The sources from which this library comes may include websites, government records, and phone service providers. We verify each source, and you can check the URLs where we got the data. This ensures that the mobile data is accurate and reliable. Also, Nepal phone data providers offer 24/7 support. Also, Nepal phone data follows an opt-in policy. This means that people can share their numbers. This is good because it ensures that people know they are using their information. You won’t get in trouble for using contact details without permission. List to Data helps you to find Nepal contact data for your business. Nepal phone number list is a collection of phone numbers of people living in Nepal. You can sort these contact numbers by gender, age, and relationship status. This means that you can only see the amount that matches your needs. For example, if you want to contact young and single people, you can do so. Also, this contact list follows GDPR rules. Also, the Nepal phone number list helps you remove invalid data. Sometimes, contact numbers may change or stop working. This list checks this and removes those numbers, so you don’t waste time calling people who don’t answer. Using the Nepal phone number list, you reach the right people. Therefore, you get accurate, current information.

Iceland number dataset is a list of phone numbers from Latvia that is 100% correct and valid. We always double-check this data to make sure it is accurate. So, when you use this data, you can trust that the phone numbers work. And if you ever get the wrong number, you get a replacement guarantee. If a number isn’t working, we’ll provide a new one. Thus, there’s no extra cost. List to Data makes it simple to search for numbers online. The people who are on the list have agreed to share their phone numbers. So, you’re not breaking any rules when you use this data. And, having customer permission makes your contact more welcome and effective. This is why the Iceland number dataset is very reliable. Iceland phone data is information about phone numbers in Iceland. We collect this data from trusted sources to ensure its reliability. The sources where this data comes from can include websites, government records, and phone service providers. We verify each source, and you can check the URLs where we got the data. This makes sure the phone data is accurate and reliable. Also, the companies that offer this data provide 24/7 support. Additionally, the Iceland phone data follows the opt-in rule. This means that people can share their numbers. It’s good because it ensures people know that their information is being used. You won’t get into trouble for using phone numbers without permission. The data from the List to Data is safe because it follows privacy rules. Iceland phone number list is a collection of phone numbers from people living in Iceland. You can filter these phone numbers by gender, age, and relationship status. This means you can choose to see only the numbers that match what you need. For example, if you want to reach people who are young and single, you can do that. Also, this list follows GDPR rules. This means we collect and use the data in a way that protects people’s privacy. Another great thing about this list is that it helps you remove invalid data. Sometimes, phone numbers can change or stop working. This list checks and removes inactive numbers. Therefore, you save time calling active people. Moreover, the Iceland phone number list ensures you reach the right people with accurate, current info.

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.

Attitudes towards the benefits of internet and mobile phone use. Topics: frequency of the following leisure activities: sport, cultural activities, watch TV, go out, pursue a hobby, keep oneself informed, meet friends; frequency of participating in activities of organisations; trust in other people; frequency of internet use; online activities: send or receive emails or instant messages, purchase goods or services, internet banking, download multimedia content or software, use electronic forms of public administration, learn, use social networks, look for information, read or watch news, upload content, do daily work, transfer content to other devices; assessment of the improvement in selected areas due to the internet: opportunity to meet new people, way to manage finances, way to deal with public authorities, way to get health-related information, way to perform job, way to shop, opportunity to learn, way to pursue hobbies, capability to be informed, personal relationships, opportunity to access culture; attitude towards the following statements on people that don’t use the internet: miss opportunity of greater contact to people, are at disadvantage in career prospects, are at risk of becoming old-fashioned, miss opportunity of finding good bargains, are less open to the world, are less informed, have more time, are not at risk of online fraud, are not at risk of others finding out personal information about them, are less reachable for professional purposes, avoid frustration of dealing with complicated technologies; asked other person in the last year to send email, get information from the internet or make online purchase for oneself; frequency of mobile phone use; assessment of the improvement in selected areas due to mobile phones: keep contact with people, capability to be informed, way to manage free time, share content, feel more secure, work; attitude towards the following statements on people that don’t use mobile phones: miss opportunity of greater contact to people, are less reachable, are saving money, have less stress. Demography: sex; age; age at end of education; occupation; professional position; region; type of community; household composition and household size. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; weighting factor. Aktivitäten in der Freizeit. Internet- und Mobiltelefonnutzung. Vor- und Nachteile der Internet- und Mobiltelefonnutzung. Themen: Häufigkeit von Freizeitaktivitäten (Sport, Kino, Fernsehen, Gaststättenbesuche, Hobby, Informationssuche, Freundeskontakte); Häufigkeit aktiver Teilnahme an Vereinsaktivitäten; Personenvertrauen; Häufigkeit der Internetnutzung zu privaten Zwecken; Art der Internetnutzung; Verbesserungen durch das Internet: Bekanntschaften machen, Verwaltung von Finanzen, Umgang mit Behörden, Erhalt gesundheitsbezogener Informationen, Ausführung der Arbeit, Tätigung von Einkäufen, Gelegenheit zum Lernen, Ausüben von Hobbies, Information über aktuelle Themen, Kontakte zu Familienmitgliedern und Freunden sowie Gelegenheit zum kulturellen Austausch; Nachteile und Vorteile durch eine Nicht-Nutzung des Internets: geringere Gelegenheit zur persönlichen Kontaktpflege, Nachteile in Bezug auf die beruflichen Perspektiven, Risiko, altmodisch zu werden, weniger Offenheit gegenüber der Außenwelt, geringere Informiertheit, mehr Zeit für Freunde und Familie, geringes Risiko Opfer von Online-Betrug zu werden, höherer Schutz der persönlichen Daten, schlechtere Erreichbarkeit zu beruflichen Zwecken, geringeres Risiko der Frustration durch komplizierte Technologien; Internetnutzung über Freunde oder Verwandte; Nutzung eines Mobiltelefons; Vorteile der Mobiltelefonnutzung: Kontaktpflege mit Familie und Freunden, bessere Informiertheit, Organisation der Freizeit, Austausch von Ideen und Materialien, gesteigertes Sicherheitsgefühl, zu Arbeitszwecken; Auswirkungen durch eine Nicht-Nutzung von Mobiltelefonen: verpasste Gelegenheiten der Kontaktpflege, schlechtere Erreichbarkeit, Kostenersparnis, weniger Stress. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Gewichtungsfaktor.

For questions about this data please contact ITOpenData@minneapolismn.gov2014 Minneapolis Community Technology Survey Data

Thanks to the 3,015 residents for their participation, the third year's results are in on a survey the City of Minneapolis conducted to understand how Minneapolis residents use computers, mobile devices and the Internet. Access to computers and the Internet, along with the skills to use these tools is critical as technology becomes more and more a part of our daily lives and is integrated in our economic, educational, health, and workforce systems. The results will inform priorities for the City’s digital inclusion initiatives, and help engage businesses, neighborhood and community groups, public sector partners, and funders to more effectively address community technology and economic development needs. In addition, the survey provides data to measure changes in the community over time.

The City of Minneapolis Information Technology Department contracted with National Research Center, Inc. (NRC) to conduct a survey of residents to inform the City’s efforts to overcome the digital equity gap between individuals and groups in their access to and use and knowledge of information and communication technologies. This is the third iteration of the Minneapolis Community Technology Survey; the first was conducted in 2012 and the second in 2013.Summary of Data Fields:Field 1 – Overall percentage of respondents who have lived in Minneapolis for 5 years or less by community and user levelField 2 – Overall percentage of foreign-born respondents by community and user levelField 3 – Overall percentage of respondents who rent their homes by community and user levelField 4 – Overall percentage of respondents who live in attached homes by community and user levelField 5 – Overall percentage of respondents living in households with three or more people by community and user levelField 6 – Overall percentage of respondents living in households with children under the age of 18 by community and user levelField 7 – Overall percentage of female respondents by community and user levelField 8 – Overall percentage of respondents aged 55 years or older by community and user levelField 9 – Overall percentage of respondents who are hispanic and/or any race other than white by community and user levelField 10 – Overall percentage of respondents who prefer to speak a language other than English at home by community and user levelField 11 – Overall percentage of respondents having annual household incomes of less than $50,000 by community and user levelField 12 – Overall percentage of respondents who do not work full- or part-time by community and user level

Field 13 – Overall percentage of respondents who do not have a 4-year degree by community and user level

Full data set (Raw data and data dictionary in Excel format)

The workbook has two tabs, the first is the data dictionary that is needed to translate the data; the second is the raw data.

See data summarized in a variety of formats at: http://www.minneapolismn.gov/it/inclusion/WCMS1P-118865

For additional details about the survey, the survey questionnaire, methodology and more, see: http://www.minneapolismn.gov/it/inclusion/WCMS1P-118865 or contact: Elise Ebhardt, 612-673-2026, City of Minneapolis IT Department

See also: 2012 and 2013 survey results

The City's IT Vision includes a component for addressing the digital divide in Minneapolis: All City residents, institutions and businesses will have the tools, skills and motivation to gain value from the digital society. Our residents and businesses need to be equipped to effectively compete with others around the world—to be smarter, more creative, more knowledgeable, and more innovative. Leveraging technology is a necessary ingredient of success.

Aktivitäten in der Freizeit. Internet- und Mobiltelefonnutzung. Vor- und Nachteile der Internet- und Mobiltelefonnutzung. Themen: Häufigkeit von Freizeitaktivitäten (Sport, Kino, Fernsehen, Gaststättenbesuche, Hobby, Informationssuche, Freundeskontakte); Häufigkeit aktiver Teilnahme an Vereinsaktivitäten; Personenvertrauen; Häufigkeit der Internetnutzung zu privaten Zwecken; Art der Internetnutzung; Verbesserungen durch das Internet: Bekanntschaften machen, Verwaltung von Finanzen, Umgang mit Behörden, Erhalt gesundheitsbezogener Informationen, Ausführung der Arbeit, Tätigung von Einkäufen, Gelegenheit zum Lernen, Ausüben von Hobbies, Information über aktuelle Themen, Kontakte zu Familienmitgliedern und Freunden sowie Gelegenheit zum kulturellen Austausch; Nachteile und Vorteile durch eine Nicht-Nutzung des Internets: geringere Gelegenheit zur persönlichen Kontaktpflege, Nachteile in Bezug auf die beruflichen Perspektiven, Risiko, altmodisch zu werden, weniger Offenheit gegenüber der Außenwelt, geringere Informiertheit, mehr Zeit für Freunde und Familie, geringes Risiko Opfer von Online-Betrug zu werden, höherer Schutz der persönlichen Daten, schlechtere Erreichbarkeit zu beruflichen Zwecken, geringeres Risiko der Frustration durch komplizierte Technologien; Internetnutzung über Freunde oder Verwandte; Nutzung eines Mobiltelefons; Vorteile der Mobiltelefonnutzung: Kontaktpflege mit Familie und Freunden, bessere Informiertheit, Organisation der Freizeit, Austausch von Ideen und Materialien, gesteigertes Sicherheitsgefühl, zu Arbeitszwecken; Auswirkungen durch eine Nicht-Nutzung von Mobiltelefonen: verpasste Gelegenheiten der Kontaktpflege, schlechtere Erreichbarkeit, Kostenersparnis, weniger Stress. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Gewichtungsfaktor. Attitudes towards the benefits of internet and mobile phone use. Topics: frequency of the following leisure activities: sport, cultural activities, watch TV, go out, pursue a hobby, keep oneself informed, meet friends; frequency of participating in activities of organisations; trust in other people; frequency of internet use; online activities: send or receive emails or instant messages, purchase goods or services, internet banking, download multimedia content or software, use electronic forms of public administration, learn, use social networks, look for information, read or watch news, upload content, do daily work, transfer content to other devices; assessment of the improvement in selected areas due to the internet: opportunity to meet new people, way to manage finances, way to deal with public authorities, way to get health-related information, way to perform job, way to shop, opportunity to learn, way to pursue hobbies, capability to be informed, personal relationships, opportunity to access culture; attitude towards the following statements on people that don’t use the internet: miss opportunity of greater contact to people, are at disadvantage in career prospects, are at risk of becoming old-fashioned, miss opportunity of finding good bargains, are less open to the world, are less informed, have more time, are not at risk of online fraud, are not at risk of others finding out personal information about them, are less reachable for professional purposes, avoid frustration of dealing with complicated technologies; asked other person in the last year to send email, get information from the internet or make online purchase for oneself; frequency of mobile phone use; assessment of the improvement in selected areas due to mobile phones: keep contact with people, capability to be informed, way to manage free time, share content, feel more secure, work; attitude towards the following statements on people that don’t use mobile phones: miss opportunity of greater contact to people, are less reachable, are saving money, have less stress. Demography: sex; age; age at end of education; occupation; professional position; region; type of community; household composition and household size. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; weighting factor.

Abstract copyright UK Data Service and data collection copyright owner. Advanced Technology in the Lives of Disabled People, 2007-2008 assesses the use, application and role of advanced technologies in the lives of disabled people. Although disabled people are excited by the potential benefits of using new advanced technological devices at home, research has shown that one third of assistive devices are abandoned early and lie unused. This study aimed to explore why this happens, what the users actually need and how technology can rise to the challenges of flexibility and user choice. This study comprises 45 semi-structured interviews with people with a variety of different disabilities. In the study, 'disabled people' are people between the ages of 18 and 65 who have impairments (physical/sensory/learning difficulties/ mental health issues). 'Advanced technologies' are devices (often electronic) that assist the disabled person or improve functioning. These take many different forms, for example an automatic door opener can be attached to a closed circuit TV system, mobile telephones can act as universal pagers to alert the user to a number of environmental hazards, (for example, fire, gas escape). Further information can be found on ESRC MATILDAH project web page and the IDRIS research centre website. Additional information and a range of publications are available from the ESRC Award web page. Main Topics: The interviews covered the following themes:technology currently usedlearning challenges faced from new technologychoice and flexibilityabandonment of technologydevelopment of new technology in the future Quota sample Continuous sampling and interviewing of individuals as available. Face-to-face interview 2007 2008 ACCESS TO INFORMATI... AIDS FOR THE DISABLED AIDS FOR THE HEARIN... AIDS FOR THE SPEECH... AIDS FOR THE VISUAL... ANSWERPHONES ASSISTANCE ALARM SY... CARE IN THE COMMUNITY CARE OF THE DISABLED CHARITABLE ORGANIZA... CHAT ROOMS COMMUNICATION DISAB... COMPUTER SOFTWARE COMPUTERS CONGENITAL DISORDERS DEBILITATIVE ILLNESS DEPRESSION DISABILITIES DISABILITY DISCRIMI... DISABILITY DISCRIMI... DISABLED ACCESSIBILITY DISABLED FACILITIES DISABLED PERSONS DOMESTIC EQUIPMENT ... DOMESTIC RESPONSIBI... DVD PLAYERS England FIRE PROTECTION EQU... HEALTH CARE COSTS HEALTH PROFESSIONALS HEARING AIDS HEARING IMPAIRED PE... HEARING IMPAIRMENTS HOME HELP Health care service... INFORMAL CARE INFORMATION AND COM... INNOVATION INTERNET ACCESS INTERNET USE MENTALLY DISABLED P... MOBILE PHONES MOBILITY AIDS MOBILITY SCOOTERS NERVOUS SYSTEM DISE... OCCUPATIONAL THERAPY ONLINE SHOPPING PHYSICAL DISABILITIES PHYSICAL MOBILITY PHYSICALLY DISABLED... QUALITY OF LIFE SCIENTIFIC INNOVATION SENSORY IMPAIRMENTS SHELTERED EMPLOYMENT SICKNESS AND DISABI... SOCIAL MEDIA SOCIAL WELFARE SERV... SPEECH IMPAIRED PER... SPINAL DISORDERS STATE HEALTH SERVICES Science and technology Scotland Specific diseases Specific social ser... TELEPHONE HELP LINES TELEPHONES TELEVISION RECEIVERS TELEVISION SUBTITLES TRAUMA PSYCHOLOGICAL VISION IMPAIRMENTS VISUALLY IMPAIRED P... WALKING AIDS WHEELCHAIRS Wounds and injuries disorders and medic...

Attitudes of parents towards safer internet use for children. Topics: number of children in household between the age of 6 and 17; sex of child whose birthday is closest to date of interview; age of the child; frequency of personal internet use; internet use of the child: from personal computer at home, from family’s computer at home, at school, in internet café, at friends’ homes, in public places, somewhere else; frequency of the following measures with regard to child’s internet use at home: stay nearby, sit with the child, ask child about online activities, check computer later, check child’s messages, check whether child has a profile on a social network; restrictions regarding the child’s internet use; allowed activities: spend a lot of time online, talk to people unknown in real life, use email and instant messaging tools, use chat rooms, create profile in online community, access certain websites, download content, buy online, give out personal information; child’s use of mobile phone with internet access; concern about the child’s internet use via mobile phone with regard to the following activities: give out personal information online, see sexually or violently explicit images on the internet, be bullied by other children online, see sexually or violently explicit images via mobile phone, be bullied by other children via mobile phone, get information about self-harm, become isolated if spending too much time online, be victim of online grooming; use of filtering or monitoring software at computer at home; reasons for not using filtering or monitoring software; child ever been in need of help concerning unclear situation on the internet; kind of situation; most effective measures with regard to safer and more effective internet use for the child; most important sources of information on safety tools and safe internet usage; first point to turn to in case of encountering illegal content. Demography: sex; age; age at end of education; occupation; professional position; type of community. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor. Internetnutzung durch Kinder. Sicherheitsmaßnahmen der Eltern. Themen: Anzahl der Kinder zwischen 6-17 Jahren im Haushalt; Auswahl des Kindes, über das die Eltern berichten durch die Geburtstagsmethode; Geschlecht; Alter des Kindes; Häufigkeit der Internetnutzung; Nutzung des Internets außerhalb der Wohnung; Orte des Internetzugangs des Kindes; Kontrollmaßnahme bei der Internetnutzung durch das Kind (Skala); Beschränkungen der Internetnutzung für das Kind; weitere Einschränkungen der Internetnutzung: viel Zeit online verbringen, Unterhaltungen mit Unbekannten (Chatten), Nutzung von Kontaktmedien (instant messaging), Nutzung von Chaträumen, Erstellen eines Online-Profils, Besuch bestimmter Web-Seiten, Download von Musik und Filmen, Onlineshopping, Herausgabe persönlicher Daten; Handy-Besitz des Kindes; Besorgnis über die Internetnutzung bzw. die Handy-Nutzung durch das Kind (Skala); installierte Filter- oder Kontrollsoftware; Gründe für eine Entscheidung gegen Kontrollsoftware; Hilfesuchen seitens des Kindes bei der Internetnutzung; Art der Hilfeleistung: bei technischen Problemen, bei Online-Belästigung, bei der Informationssuche, bei Online-Schikane, bei Online-Kontaktaufnahme durch Fremde, bei dem Fund von sexuellen oder gewalttätigen Bildern; Maßnahmen, die zu einer erhöhten Sicherheit des Internets für Kinder führen würden: Aufklärung in Schulen, Information der Eltern, Kurse für Eltern, bessere Kontrollsoftware, strengere Regulierungen bei Providern von Internetseiten, Kampagnen zur Aufklärung über Onlinerisiken, Kontaktstellen zur sicheren Internetnutzung; Informationsquelle über Sicherheitstools; Kontaktstelle bei einem Fund illegaler Inhalte: Polizei, Hotlines, gemeinnützige Organisationen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor.

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