This statistic presents the share of internet users in the United States who agree with selected statements about online and data privacy as of May 2017. During the survey period, 27 percent of respondents agreed that every internet user should think about their personal data.

This statistic presents the concern of social users in the United States regarding the security of their personal data with social media companies such as Facebook. During the May 2017 survey period, 54 percent of respondents stated that they worried very much about the security of their personal social media data.

This statistic presents the U.S. online user confidence in the data security of American companies compared to foreign ones. During the May 2017 survey, 24 percent of respondents stated that they trusted American companies much more with their data than foreign companies.

This statistic presents the concern of social users in the United States regarding the security of their personal data with with online services from the federal government. During the May 2017 survey period, 47 percent of respondents stated that they worried very much about the security of their personal e-government service data.

This statistic shows the perception of internet users in the United States receding the security of their personal data online. During the August 2017 survey, it was found that five percent of respondents believed their personal data to be very insecure online.

Data measuring the intent to purchase Internet-of-Things home security devices, based on the Theory of Reasoned Action (intent, attitude, subjective norms), the Theory of Planned Behavior (perceived behavioral control), and Protection Motivation Theory (self-efficacy, fear, vulnerability, severity and response efficacy), along with related variables (threat to home safety, cost, personal innovativeness in IT, privacy concerns, perceived ease of use) and demographic variables.

Greece - Households without access to internet at home, because of privacy or security concerns was 3.16% in December of 2019, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Greece - Households without access to internet at home, because of privacy or security concerns - last updated from the EUROSTAT on June of 2025. Historically, Greece - Households without access to internet at home, because of privacy or security concerns reached a record high of 7.43% in December of 2005 and a record low of 1.68% in December of 2017.

Hungary - Households without access to internet at home, because of privacy or security concerns was 23.58% in December of 2019, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - Households without access to internet at home, because of privacy or security concerns - last updated from the EUROSTAT on June of 2025. Historically, Hungary - Households without access to internet at home, because of privacy or security concerns reached a record high of 24.61% in December of 2017 and a record low of 3.50% in December of 2005.

Czech Republic - Households without access to internet at home, because of privacy or security concerns was 4.52% in December of 2019, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Czech Republic - Households without access to internet at home, because of privacy or security concerns - last updated from the EUROSTAT on June of 2025. Historically, Czech Republic - Households without access to internet at home, because of privacy or security concerns reached a record high of 4.92% in December of 2017 and a record low of 0.09% in December of 2005.

This statistic presents the share of U.S. online users who take measures to prevent the recording of their online behavior. During the May 2017 survey, 14 percent of respondents stated that they always used privacy measures such as using an incognito browser window when browsing the internet.

The goal of this study is to measure willingness to participate in passive mobile data collection among German smartphone owners. The data come from a two-wave web survey among German smartphone users 18 years and older who were recruited from a German nonprobability online panel. In December 2016, 2,623 participants completed the Wave 1 questionnaire on smartphone use and skills, privacy and security concerns, and general attitudes towards survey research and research institutions. In January 2017, all respondents from Wave 1 were invited to participate in a second web survey which included vignettes that varied the levels of several dimensions of a hypothetical study using passive mobile data collection, and respondents were asked to rate their willingness to participate in such a study. A total of 1,957 respondents completed the Wave 2 questionnaire.

Wave 1

Topics: Ownership of smartphone, mobile phone, PC, tablet, and/or e-book reader; type of smartphone; frequency of smartphone use; smartphone activities (browsing, e-mails, taking photos, view/ post social media content, shopping, online banking, installing apps, using GPS-enabled apps, connecting via Bluethooth, play games, stream music/ videos); self-assessment of smartphone skills; attitude towards surveys and participaton at research studies (personal interest, waste of time, sales pitch, interesting experience, useful); trust in institutions regarding data privacy (market research companies, university researchers, statistical office, mobile service provider, app companies, credit card companies, online retailer, and social networks); concerns regarding the disclosure of personal data by the aforementioned institutions; general privacy concern; privacy violated by banks/ credit card companies, tax authorities, government agencies, market research companies, social networks, apps, internet browsers); concern regarding data security with smartphone activities for research (online survey, survey apps, research apps, SMS survey, camera, activity data, GPS location, Bluetooth); number of online surveys in which the respondent has participated in the last 30 days; Panel memberships other than that of mingle; previous participation in a study with downloading a research app to the smartphone (passive mobile data collection).

Wave 2

Topics: Willingness to participate in passive mobile data collection (using eight vignettes with different scenarios that varied the levels of several dimensions of a hypothetical study using passive mobile data collection. The research app collects the following data for research purposes: technical characteristics of the smartphone (e.g. phone brand, screen size), the currently used telephone network (e.g. signal strength), the current location (every 5 minutes), which apps are used and which websites are visited, number of incoming and outgoing calls and SMS messages on the smartphone); reason why the respondent wouldn´t (respectively would) participate in the research study used in the first scenario (open answer); recognition of differences between the eight scenarios; kind of recognized difference (open answer); remembered data the research app collects (recall); previous invitation for research app download; research app download.

Demography: sex; age; federal state; highest level of school education; highest level of vocational qualification.

Additionally coded was: running number; respondent ID; duration (response time in seconds); device type used to fill out the questionnaire; vignette text; vignette intro time; vignette time.

This statistic presents the concern of social users in the United States regarding the security of their personal data with online shopping platforms. During the May 2017 survey period, 40 percent of respondents stated that they worried very much about the security of their personal online shopping data.

Abstract: The aim of this study is to gain insights into the attitudes of the population towards big data practices and the factors influencing them. To this end, a nationwide survey (N = 1,331), representative of the population of Germany, addressed the attitudes about selected big data practices exemplified by four scenarios, which may have a direct impact on the personal lifestyle. The scenarios contained price discrimination in retail, credit scoring, differentiations in health insurance, and differentiations in employment. The attitudes about the scenarios were set into relation to demographic characteristics, personal value orientations, knowledge about computers and the internet, and general attitudes about privacy and data protection. Another focus of the study is on the institutional framework of privacy and data protection, because the realization of benefits or risks of big data practices for the population also depends on the knowledge about the rights the institutional framework provided to the population and the actual use of those rights. As results, several challenges for the framework by big data practices were confirmed, in particular for the elements of informed consent with privacy policies, purpose limitation, and the individuals’ rights to request information about the processing of personal data and to have these data corrected or erased. TechnicalRemarks: TYPE OF SURVEY AND METHODS The data set includes responses to a survey conducted by professionally trained interviewers of a social and market research company in the form of computer-aided telephone interviews (CATI) from 2017-02 to 2017-04. The target population was inhabitants of Germany aged 18 years and more, who were randomly selected by using the sampling approaches ADM eASYSAMPLe (based on the Gabler-Häder method) for landline connections and eASYMOBILe for mobile connections. The 1,331 completed questionnaires comprise 44.2 percent mobile and 55.8 percent landline phone respondents. Most questions had options to answer with a 5-point rating scale (Likert-like) anchored with ‘Fully agree’ to ‘Do not agree at all’, or ‘Very uncomfortable’ to ‘Very comfortable’, for instance. Responses by the interviewees were weighted to obtain a representation of the entire German population (variable ‘gewicht’ in the data sets). To this end, standard weighting procedures were applied to reduce differences between the sample and the entire population with regard to known rates of response and non-response depending on household size, age, gender, educational level, and place of residence. RELATED PUBLICATION AND FURTHER DETAILS The questionnaire, analysis and results will be published in the corresponding report (main text in English language, questionnaire in Appendix B in German language of the interviews and English translation). The report will be available as open access publication at KIT Scientific Publishing (https://www.ksp.kit.edu/). Reference: Orwat, Carsten; Schankin, Andrea (2018): Attitudes towards big data practices and the institutional framework of privacy and data protection - A population survey, KIT Scientific Report 7753, Karlsruhe: KIT Scientific Publishing. FILE FORMATS The data set of responses is saved for the repository KITopen at 2018-11 in the following file formats: comma-separated values (.csv), tapulator-separated values (.dat), Excel (.xlx), Excel 2007 or newer (.xlxs), and SPSS Statistics (.sav). The questionnaire is saved in the following file formats: comma-separated values (.csv), Excel (.xlx), Excel 2007 or newer (.xlxs), and Portable Document Format (.pdf). PROJECT AND FUNDING The survey is part of the project Assessing Big Data (ABIDA) (from 2015-03 to 2019-02), which receives funding from the Federal Ministry of Education and Research (BMBF), Germany (grant no. 01IS15016A-F). http://www.abida.de

This statistic ranks the most commonly used online privacy measures of U.S. users. During the May 2017 survey, 67 percent of respondents who took online privacy measures stated that they deleted cookies and 71 percent stated that they deleted their browser history.

This statistic shows the number of Internet of Things (IoT) security units in the European Union (EU) in 2017, 2020 and 2025 (in million). The number of IoT units in the security industry was expected to increase through the years. It was at 40.3 million units in 2017, and it was expected that it would reach 119.3 million units by 2025. Since the security industry relies on a lot of automation of processes, utilizing IoT devices would be a huge step forward.

The goal of this study was to experimentally measure the influence of different incentive schemes on the willingness to participate in passive mobile data collection among German smartphone owners. The data come from a web survey among German smartphone users 18 years and older who were recruited from a German nonprobability online panel. In December 2017, 1,214 respondents completed a questionnaire on smartphone use and skills, privacy and security concerns, general attitudes towards survey research and research institutions. In addition, the questionnaire included an experiment on the willingness to participate in mobile data collection under different incentive conditions.

Topics: Ownership of smartphone, cell phone, desktop or laptop computer, tablet computer, and/or e-book reader; type of smartphone; willingness to participate in mobile data collection under different incentive conditions; likelihood of downloading the app to particiapte in this research study; respondent would rather participate in the study if he could receive 100 euros; total amount to be earned for the respondent ot participate in the study (open answer); reason why the respondent wouldn´t participate in the research study; willlingness to participate in the study for an incentive of 60 euros in total; willingness to activate different functions when downloading the app (interaction history, smartphone usage, charateristics of the social network, network quality and location information, activity data); previous invitation for research app download; research app download; frequency of smartphone use; smartphone activities (browsing, e-mails, taking pictures, view/ post social media content, shopping, online banking, installing apps, using GPS-enabled apps, connecting via Bluethooth, playing games, stream music/ videos); self-assessment of smartphone skills; attitude towards surveys and participaton at research studies (personal interest, waste of time, sales pitch, interesting experience, useful); trust in institutions regarding data privacy (market research companies, university researchers, government authorities such as the Federal Statistical Office, mobile service provider, app companies, credit card companies, online retailer, and social media platforms); general privacy concern; feeling of privacy violation by banks and credit card companies, tax authorities, government agencies, market research, social networks, apps, and internet browsers; concern regarding data security with smartphone activities for research purposes (online survey, survey apps, research apps, SMS survey, camera, activity data, GPS location, Bluetooth).

Demography: sex, age; federal state; highest level of school education; highest level of vocational education.

Additionally coded was: running number; duration (response time in seconds); device type used to fill out the questionnaire.

The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.

Topics: satisfaction with the performance of the federal government; satisfaction with the performance of the parties CDU/CSU, SPD, Bündnis 90/Die Grünen and Die Linke in the Bundestag; unity of the federal government; unity of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD; role of Martin Schulz as party leader of the SPD; evaluation of Martin Schulz´s competence as SPD party leader; evaluation of the parties´ election statements as vague or precise (CDU/CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD); leisure activities in the last ten years (football club, home or allotment garden club, holidays in the USA, Canada, Australia or New Zealand (Split: on holiday on a city trip lasting several days, on holiday in Germany, Austria or Switzerland, in Africa, Asia or South America, in the USA or Canada, in a Japanese restaurant, in an Indian restaurant); sympathy scalometers for Angela Merkel, Alexander Gauland, Martin Schulz, Cem Özdemir and Horst Seehofer; expected deterioration or improvement of the overall economic situation in Germany; voting behaviour in the last Bundestag election in 2017 (second vote).

Owning a mobile phone; mobile phone is smartphone; frequency of use of the smartphone in addition to telephoning or sending SMS; willingness to participate in passive mobile data collection 2016: use of the smartphone for selected activities; self-assessment of smartphone skills; concerns about privacy in general; concerns about the security of own data during smartphone activities as part of a research study (filling out an online questionnaire, downloading an app that collects data about the use of the smartphone, camera use to photograph or scan receipts or barcodes of purchased products, measuring frequency and speed while walking, running and cycling, releasing GPS position).

Relationsship: relationship status; satisfaction with relationship; self-assessment of attractiveness; sex frequency in the last three months; satisfaction with sex life; change in satisfaction with sex life.

Demography (variables passed on): gender; year of birth (categorised); highest educational degree; highest professional qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment; german citizenship; private Internet use.

Additionally coded was: unique ID; household and person ID within the household; interview date; current online status; questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey.

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

Introduction: The rapidly expanding direct-to-consumer genetic testing (DTC GT) market is one area where narratives of underrepresented populations have not been explored extensively. This study describes African-American consumers’ personal experiences with and perceptions about DTC GT and explores similarities and differences between African-Americans and an earlier cohort of mostly European American consumers. Methods: Twenty semi-structured, qualitative interviews were held with individuals who self-identified as Black/African-American and completed DTC GT between February 2017 and February 2020. Interviews were transcribed and consensus-coded, using inductive content analysis. Results: Participants generally had positive regard for DTC GT. When considering secondary uses of their results or samples, most participants were aware this was a possibility but had little concrete knowledge about company practices. When prompted about potential uses, participants were generally comfortable with research uses but had mixed outlooks on other nonresearch uses such as law enforcement, cloning, and product development. Most participants expressed that consent should be required for any secondary use, with the option to opt out. The most common suggestion for companies was to improve transparency. Compared to European American participants, African-American participants expressed more trust in DTC GT companies compared to healthcare providers, more concerns about law enforcement uses of data, and a stronger expression of community considerations. Discussion/Conclusion: This study found that African-American consumers of DTC GT had a positive outlook about genetic testing and were open to research and some nonresearch uses, provided that they were able to give informed consent. Participants in this study had little knowledge of company practices regarding secondary uses. Compared to an earlier cohort of European American participants, African-American participants expressed more concerns about medical and law enforcement communities’ use of data and more reference to community engagement.