43 datasets found
  1. h

    genz-slang-dataset

    • huggingface.co
    Updated Sep 16, 2025
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    GMLB trio 2024 (2025). genz-slang-dataset [Dataset]. https://huggingface.co/datasets/MLBtrio/genz-slang-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    GMLB trio 2024
    Description

    Dataset Details

    This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.

  2. Gen Z data tables – total sample; and Gen Z data tables – Gen Z sample -...

    • ckan.publishing.service.gov.uk
    Updated May 18, 2020
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    ckan.publishing.service.gov.uk (2020). Gen Z data tables – total sample; and Gen Z data tables – Gen Z sample - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/gen-z-data-tables-total-sample-and-gen-z-data-tables-gen-z-sample
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    Dataset updated
    May 18, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    These two datasets provide the responses to a survey on food including what influences decisions on what people choose to eat, and what is important to people when selecting food for example price, animal welfare, origin of food. Knowledge of the food system Use of technology when purchasing food and key concerns about food. The total sample includes all age groups 16+ and has a sample size of 2475. The Gen Z sample is of generation Z only 16- 25 year olds and has a sample size of 619.

  3. c

    20 Common Gen Z Workplace Challenges Dataset

    • culturemonkey.io
    Updated Jul 23, 2025
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    CultureMonkey (2025). 20 Common Gen Z Workplace Challenges Dataset [Dataset]. https://www.culturemonkey.io/employee-engagement/problems-with-gen-z-in-the-workplace/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    CultureMonkey
    License

    https://www.culturemonkey.io/termshttps://www.culturemonkey.io/terms

    Description

    This dataset includes 20 identified challenges employers face with Gen Z workers, categorized by behavioral trends, workplace expectations, and communication gaps.

  4. Life in Generation Z - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 9, 2025
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    ckan.publishing.service.gov.uk (2025). Life in Generation Z - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/life-in-generation-z
    Explore at:
    Dataset updated
    Jun 9, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This is a survey of over 3,000 young Londoners that was completed in June 2020 in partnership with the Museum of London. This focuses on the key issues and concerns affecting young people aged between 16-24 and reviews the challenges they face and what needs to happen to help young people thrive across the capital. This dataset is being reviewed. The data will be made available again soon.

  5. e

    Generation Z and and Corona (July 2021) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Jul 15, 2021
    + more versions
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    (2021). Generation Z and and Corona (July 2021) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/29cd01f3-5205-506d-95c9-e43aaf51d1ae
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    Dataset updated
    Jul 15, 2021
    Description

    On behalf of the Press and Information Office of the Federal Government, the opinion research institute Kantar conducted a target group survey of the ´Generation Z´. For this purpose, 1,022 people between the ages of 14 and 24 were surveyed online between 05 and 18 July 2021. The focus of the survey was on the values and orientation of the generation, their situation in the pandemic, political interest and information behaviour as well as political and social attitudes. In order to map the influence of the corona pandemic on the attitudes and social image of Generation Z, the results of this survey were compared with a survey from 2019. Current life circumstances: life satisfaction; highest school-leaving qualification of father and mother; material situation: frequency of renunciation for financial reasons; source of money (from own work, from parents, from state support, from elsewhere); primary source of money; negative effects of the Corona crisis on personal income; organisation of distance learning (communication via a digital learning platform, via video conference, via e-mail, via messenger/chats such as e.g. WhatsApp, via a cloud, by telephone, by post or by other means); agreement with statements on the situation in schools/colleges (I was able to concentrate well on my tasks at home, I missed direct contact with my classmates/ fellow students, my grades deteriorated during the pandemic, distance learning at my school/college worked well, I had insufficient equipment to follow lessons, the accessibility of teachers was very good even in times of distance learning, learning became more strenuous for me during the pandemic); opinion on the future recognition of school, university or professional degrees made during the Corona pandemic; leisure activities during the pandemic (less sport since the beginning of the pandemic than before, relationships with friends have deteriorated during the pandemic, significantly more time on the internet since the beginning of the pandemic than before, started a new hobby during the pandemic); vaccination status; likelihood of Corona vaccination. 2. Values and attitudes: personally most important life goals (e.g. self-discovery, independence, enjoying life, career, etc.); importance of various aspects for pursuing a profession (secure job, adequate income, interesting work that is fun, compatibility of private life and profession (work-life balance), career opportunities, responsibility, opportunities for further training and development); comparison of values : comparison of values Corona: extensive collection of data for infection protection vs. data protection, especially young vs. especially old people have suffered from the pandemic, pandemic as a chance for change vs. after the pandemic back to the usual normality, comparison of values State: debts in favour of education and infrastructure not a problem vs. always a burden for future generations, active role of the state for important future tasks such as climate protection and educational justice vs. leaving a passive role and shaping of the future to society and the economy, orienting politics towards future generations vs. protecting the interests of those who have already made a contribution to society, comparison of lifestyle values: conscious renunciation in favour of sustainability vs. doing what I feel like doing, doing without in favour of health vs. having fun in the foreground, self-realisation vs. putting aside one´s own needs in favour of one´s personal environment, today´s generation has completely different values than the generation before it vs. in principle very similar values as the generation before it). 3. Media and information: interest in politics; points of contact with politics in everyday life (e.g. media consumption, when using social networks, in personal conversations with friends and family, at work, at school or university, in public spaces, in leisure time/hobbies); being informed about politics; most frequently used sources of political information (media) (e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, etc.). e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, satire programmes on TV, etc.); change in political information behaviour in the Corona pandemic. 4. Politics and society: satisfaction with democracy; opinion on democracy as an idea; need for reform of politics in Germany; most important political problems in Germany (open); satisfaction with the work of the federal government; trust in institutions (judiciary, environmental and aid organisations such as Greenpeace or Amnesty International, public health authorities such as the Robert Koch Institute, federal government, Bundestag, police, churches, school/university); perception of social lines of conflict (between rich and poor, employers and employees, young and old, foreigners and Germans, East Germans and West Germans, women and men, people in the city and people in the countryside); attitudes towards Corona (politicians take young people´s concerns seriously, young people received sufficient financial support from the state during the pandemic, young people´s needs were not taken into account enough by politicians during the Corona pandemic, the Corona pandemic will affect my generation´s future opportunities in the long term, my generation will benefit significantly from the awakening after the Corona pandemic, the Corona crisis has changed my perspective on many things in life, young people´s career opportunities have deteriorated as a result of the pandemic); agreement with various statements on Corona vaccination (children and young people aged 12 and over should also be vaccinated against Corona, young people currently have to wait too long for a vaccination appointment, vaccination prioritisation should have been lifted earlier, vaccination of young people against Corona is not necessary, there should be compulsory vaccination for schoolchildren, I personally feel that Corona vaccinations in Germany are treated fairly); currently appropriate measures to support children and young people (open). 5. Future perspectives: assessment of personal future opportunities; assessment of the future opportunities of one´s own generation in Germany; future vision of politics: agreement with various statements (a council of randomly selected citizens should be created to draw up political recommendations for the federal government, voting in elections should be possible via app, the voting age in federal elections should be lowered to 16, the population should be represented in the Bundestag by means of quotas, the population should vote directly on important political issues by referendum). Demography: age; sex; federal state; current attendance at school, college or university; type of educational institution currently attended; highest level of education attained to date; employment; subjective class classification; housing situation; household size; party sympathies; migration background. Additionally coded was: serial number; city size; weighting factor. Im Auftrag des Presse- und Informationsamt der Bundesregierung hat das Meinungsforschungsinstitut Kantar eine Zielgruppenbefragung der „Generation Z“ durchgeführt. Dazu wurden im Zeitraum vom 05. – 18. Juli 2021 1.022 Personen zwischen 14 und 24 Jahren online befragt. Die Schwerpunkte der Befragung lagen auf den Werten und Orientierung der Generation, ihrer Situation in der Pandemie, dem politischen Interesse und Informationsverhalten sowie auf den politischen und gesellschaftlichen Einstellungen. Um den Einfluss der Coronapandemie auf die Einstellungen und das Gesellschaftsbild der Generation Z abzubilden, wurden die Ergebnisse dieser Befragung mit einer Befragung aus dem Jahr 2019 verglichen. Aktuelle Lebensumstände: Lebenszufriedenheit; höchster Schulabschluss von Vater und Mutter; materielle Situation: Häufigkeit des Verzichts aus finanziellen Gründen; Geldquelle (aus eigener Arbeit, von den Eltern, aus staatlicher Unterstützung, von woanders her); primäre Geldquelle; negative Auswirkungen der Corona-Krise auf das persönliche Einkommen; Organisation des Fernunterrichts (Kommunikation über eine digitale Lernplattform, per Videokonferenz, per E-Mail, per Messenger/Chats wie z.B. WhatsApp, über eine Cloud, per Telefon, per Post oder auf sonstige Weise); Zustimmung zu Aussagen zur Situation in Schulen/ an Hochschulen (ich konnte mich zu Hause gut auf meine Aufgaben konzentrieren, der direkte Kontakt zu meinen Mitschüler/innen/ Kommilitonen/innen hat mir gefehlt, meine Noten sind während der Pandemie schlechter geworden, der Fernunterricht an meiner Schule/ Hochschule hat gut funktioniert, ich hatte nur ungenügende Ausstattung zur Verfügung, um dem Unterricht folgen zu können, die Erreichbarkeit der Lehrkräfte war auch in Zeiten des Fernunterrichts sehr gut, das Lernen ist für mich während der Pandemie anstrengender geworden); Meinung zur künftigen Anerkennung von Schul-, Universitäts- oder Berufsabschlüssen, die während der Corona-Pandemie gemacht wurden; Freizeitgestaltung während der Pandemie (seit Beginn der Pandemie weniger Sport als davor, Beziehungen zu Freunden haben sich in der Pandemie verschlechtert, seit Beginn der Pandemie deutlich mehr Zeit im Internet als davor, in der Pandemie ein neues Hobby begonnen); Impfstatus; Wahrscheinlichkeit einer Corona-Impfung. 2. Werte und Einstellungen: persönlich wichtigste Lebensziele (z.B. Selbstfindung, Unabhängigkeit, Leben genießen, Karriere, etc.); Wichtigkeit verschiedener Aspekte für die Ausübung eines Berufs (sicherer Arbeitsplatz, angemessenes Einkommen, interessante Arbeit, die Spaß macht, Vereinbarkeit von Privatleben und Beruf (Work-Life-Balance), Karrieremöglichkeiten, Verantwortung, Weiterbildungs- und Entwicklungsmöglichkeiten); Gegenüberstellung von Werten :

  6. d

    Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data

    • datarade.ai
    .csv
    Updated Apr 27, 2023
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    BIGDBM (2023). Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data [Dataset]. https://datarade.ai/data-products/bigdbm-3rd-party-us-consumer-millennial-and-gen-z-package-bigdbm
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    Demographic and PII data (including emails, phone numbers, and addresses) for the US Millennial and Gen Z population segments. Fully opt-in and CCPA compliant (direct submission from the individuals). 30 million+ population.

    High success and conversion rates for direct marketing, targeted ads, identity verification, and demographic research.

    This data can be merged into the BIGDBM Consumer dataset or have specific data fields appended from the BIGDBM Consumer dataset.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  7. g

    Matthew Walsham - Life in Generation Z | gimi9.com

    • gimi9.com
    Updated Oct 27, 2020
    + more versions
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    (2020). Matthew Walsham - Life in Generation Z | gimi9.com [Dataset]. https://gimi9.com/dataset/london_life-in-generation-z-
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    Dataset updated
    Oct 27, 2020
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    This is a survey of over 3,000 young Londoners that was completed in June 2020 in partnership with the Museum of London. This focuses on the key issues and concerns affecting young people aged between 16-24 and reviews the challenges they face and what needs to happen to help young people thrive across the capital. This dataset is being reviewed. The data will be made available again soon.

  8. U.S. mean disposable household income 2023, by generation

    • statista.com
    • thefarmdosupply.com
    Updated May 15, 2025
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    Abigail Tierney (2025). U.S. mean disposable household income 2023, by generation [Dataset]. https://www.statista.com/topics/9997/generation-z-fashion-in-the-united-states/
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Description

    In 2023, the disposable income of a household led by a Millennial in the United States was 97,866 U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around 113,886 U.S. dollars in 2023.

  9. m

    Responses from the Clean Beauty Awareness Questionnaire (CBAQ) among...

    • data.mendeley.com
    Updated Sep 10, 2025
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    Kasina Venkata Naga Sangita (2025). Responses from the Clean Beauty Awareness Questionnaire (CBAQ) among Generation Z: Dataset from 195 Participants [Dataset]. http://doi.org/10.17632/gzgrn92nv4.1
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    Dataset updated
    Sep 10, 2025
    Authors
    Kasina Venkata Naga Sangita
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data set accompanies the study "Understanding Generation Z's Awareness of Clean Beauty: The Role of Sustainability, Ethicality, and Safety." The research investigated how three key attributes of the clean beauty movement, safety (non-toxic ingredients), ethicality (cruelty-free practices), and sustainability (eco-conscious packaging, influence the purchase intentions of Generation Z consumers. The dat set provides responses from 195 Gen Z individuals (145 women, 50 men) collected through the Clean Beauty Awareness Questionnaire (CBAQ), a measure specifically developed by the authors for this study. The CBAQ assesses respondents' perceptions, attitudes, and purchase intentions regarding clean beauty products. The data set contains 1. Raw data file (sheet 1 of .xlsx) containing participant responses 2. Codebook/documentation (sheet 2 of .xlsx) containing the codes of categorical variables 3. Questionnaire items (sheet 3 of .xlsx) (CBAQ) as used in the study.

  10. Data from: Birds Aren't Real

    • kaggle.com
    zip
    Updated Dec 17, 2021
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    Gabriel Preda (2021). Birds Aren't Real [Dataset]. https://www.kaggle.com/gpreda/birds-arent-real
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    zip(114903 bytes)Available download formats
    Dataset updated
    Dec 17, 2021
    Authors
    Gabriel Preda
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Birds Aren't Real (r/BirdsArentReal), is the official subreddit for the "most woke among us". It is described as "a safe haven for believers to gather, support one another in these times of adversity, and share images and stories that propel the cause forward. The birds work for the bourgeoisie".

    A bit of context here: a significant number of members of Generation Z actively propagate (as a joke or seriously) the myth that birds doesn't exist anymore, because were gradually replaced by Government with drones.

    The movement took a certain momentum recently, here is a selection of articles documenting this strange phenomena: * Birds Aren’t Real, or Are They? Inside a Gen Z Conspiracy Theory
    * ‘Birds Aren’t Real’: How A Parody Conspiracy Movement Fought ‘misinformation With Lunacy’

    https://img.republicworld.com/republic-prod/stories/promolarge/xhdpi/wizpfcbxdds0f9sm_1639621762.jpeg" alt="">

    The data is not filtered.

    Collection

    Reddit posts and commits from subreddit r/BirdsArentReal.

    Script used for collection can be found here: Reddit extract content

    Inspiration

    Use the texts in this dataset to:

    • train to do text data analysis;
    • perform sentiment analysis;
    • perform topic modelling on the text corpus.
  11. H

    Data from: Different leadership style choices, different generations

    • dataverse.harvard.edu
    • dataone.org
    Updated Sep 4, 2018
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    Merve Bako (2018). Different leadership style choices, different generations [Dataset]. http://doi.org/10.7910/DVN/GRRY4A
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 4, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Merve Bako
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In the past, a generation covered a larger span of time, having more members. However, today, thanks to the developments in technology and many other factors generations change frequently having less members and covering a few years. What matters now is the workforce itself and how these different generations work together. The current workforce has 3 generations working together while waiting for the fourth one. Soon, it is inevitable that 5 or 6 generations will be working at the same workplace. As a result, it is crucial to understand the type of leadership a generation prefers in business and academic life. The aim of this study was to find out how leadership style choice differs among four generations (Baby Boomers, Generations X, Generation Y, and Generation Z) of academics and prospective academics in Turkey. In the study, 265 participants from different generation rated the leadership attributes that contribute or impede effective leadership. The Global Leadership and Organizational Behavior Effectiveness (GLOBE) Project research survey by House et al. (2004) was used to find out the leadership style choice of different generations. The statistical relationships were determined between the generation variable and the 16 primary leadership subscales through MANOVAs and ANOVAs. The results of the tests showed that significant differences exist among the four different generations in 3 of the 16 leadership subscales. These subscales are Charismatic 3: Self-sacrifice, Conflict-inducer, and Face saver.

  12. Sindhi Handwritten Alphabets Dataset

    • kaggle.com
    Updated Mar 25, 2025
    + more versions
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    Mudasir Murtaza (2025). Sindhi Handwritten Alphabets Dataset [Dataset]. https://www.kaggle.com/datasets/mudasirmurtaza/sindhi-alphabets/versions/2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mudasir Murtaza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is a rich collection of handwritten Sindhi alphabet images, carefully curated to capture a diverse range of writing styles. The dataset includes samples from multiple generations, including Gen X, Millennials, Gen Z, and Gen Alpha, ensuring a broad representation of handwriting variations. Additionally, it encompasses contributions from individuals of different genders and varying levels of handwriting proficiency, making it highly valuable for research in handwriting recognition and computer vision.

    This dataset is ideal for training machine learning models on tasks such as:
    - Optical Character Recognition (OCR) for Sindhi script
    - Handwriting style analysis across generations
    - Character classification and dataset augmentation experiments
    - Computer vision research involving regional scripts

    Dataset Details:

    • Total Sindhi Letters: 52
    • Images per Letter: 58
    • Total Images: 3016
    • Format: JPG
    • Diversity Factors:
      • Generations Covered: Gen X, Millennials, Gen Z, Gen Alpha
      • Gender Representation: Male and Female contributors
      • Writing Styles: Includes cursive, bold, thin, and uneven strokes

    Dataset Structure:

    The dataset is structured into 52 folders, each representing a unique Sindhi letter. Each folder contains 31 handwritten samples of that letter, captured from various contributors.

    Usage & Applications:

    This dataset can be used by researchers, educators, and developers working on:
    - Handwriting Recognition Models
    - AI-powered OCR for Sindhi Language
    - Multi-generational Handwriting Studies
    - Sindhi Language Digitization & Preservation

    License & Attribution

    This dataset is publicly available under the CC BY 4.0 License, meaning you can use it freely with proper attribution.

    This dataset was created through the combined efforts of multiple contributors who provided handwritten samples.

    • Mudasir Murtaza
    • Farhad Ali

    This dataset is now open-source and we encourage researchers, developers, and students to use this dataset for AI projects and Sindhi handwriting recognition models!

  13. Instagram: distribution of global audiences 2024, by age and gender

    • statista.com
    • es.statista.com
    • +4more
    + more versions
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    Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  14. o

    THE IMPACT OF SOCIAL MEDIA IN THE CURRENT TECHNOLOGICAL ERA ON PEOPLE'S...

    • osf.io
    Updated Jun 13, 2024
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    Rachel Naja (2024). THE IMPACT OF SOCIAL MEDIA IN THE CURRENT TECHNOLOGICAL ERA ON PEOPLE'S CONSUMPTION PATTERNS ESPECIALLY GENERATION Z [Dataset]. http://doi.org/10.17605/OSF.IO/Y58DN
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    Dataset updated
    Jun 13, 2024
    Dataset provided by
    Center For Open Science
    Authors
    Rachel Naja
    Description

    No description was included in this Dataset collected from the OSF

  15. l

    Dataset: Public Perceptions of Saudi Arabia’s Nation Brand (Online...

    • repository.lboro.ac.uk
    Updated Jun 23, 2025
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    Salma Ghulman (2025). Dataset: Public Perceptions of Saudi Arabia’s Nation Brand (Online Questionnaire) [Dataset]. http://doi.org/10.17028/rd.lboro.29314136.v1
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    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Loughborough University
    Authors
    Salma Ghulman
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    This dataset was generated as part of Study 1 within a PhD research project exploring the effectiveness of communication formats in nation branding, using Saudi Arabia as a case study. The study employed a mixed-methods online questionnaire to explore public awareness, perceptions, and associations with Saudi Arabia’s brand image among a general audience.Data were collected between 21 May 2021 and 10 July 2021 via an online questionnaire hosted on www.onlinesurveys.ac.uk (Jisc Online Surveys). A total of 550 responses were obtained through non-probability snowball sampling. Participants included Saudis, non-Saudis, members of Generation Z, and older generations.The dataset includes:Excel Sheets: Raw Data, qualitative responses to open-ended questions, quantitative responses to closed-ended questions, and a coded version prepared for SPSS.SPSS File: Cleaned and labelled quantitative data (categorical and scaled responses).PDF: A copy of the original questionnaire used during data collection.Further methodological details and data interpretation are reported in Chapter 4 of the associated PhD thesis: “The Effectiveness of Communication Formats within Nation Branding: A Case Study of Saudi Arabia as a Global Tourism Destination”.

  16. Sexual orientation, UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 29, 2025
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    Office for National Statistics (2025). Sexual orientation, UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/culturalidentity/sexuality/datasets/sexualidentityuk
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    xlsxAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Sexual orientation in the UK by region, sex, age, legal partnership status, and ethnic group. These are official statistics in development.

  17. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  18. Data from: Young adults living with their parents

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 23, 2025
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    Office for National Statistics (2025). Young adults living with their parents [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/families/datasets/youngadultslivingwiththeirparents
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    xlsxAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Total number of young adults aged 15 to 34 years and total number of young adults aged 20 to 34 years in the UK living with their parents.

  19. f

    Data_Sheet_1_Beauty and Wellness in the Semantic Memory of the Beholder.ZIP

    • datasetcatalog.nlm.nih.gov
    Updated Aug 5, 2021
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    Kenett, Yoed N.; Chatterjee, Anjan; Ungar, Lyle (2021). Data_Sheet_1_Beauty and Wellness in the Semantic Memory of the Beholder.ZIP [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000834088
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    Dataset updated
    Aug 5, 2021
    Authors
    Kenett, Yoed N.; Chatterjee, Anjan; Ungar, Lyle
    Description

    Beauty and wellness are terms used often in common parlance, however their meaning and relation to each other is unclear. To probe their meaning, we applied network science methods to estimate and compare the semantic networks associated with beauty and wellness in different age generation cohorts (Generation Z, Millennials, Generation X, and Baby Boomers) and in women and men. These mappings were achieved by estimating group-based semantic networks from free association responses to a list of 47 words, either related to Beauty, Wellness, or Beauty + Wellness. Beauty was consistently related to Elegance, Feminine, Gorgeous, Lovely, Sexy, and Stylish. Wellness was consistently related Aerobics, Fitness, Health, Holistic, Lifestyle, Medical, Nutrition, and Thrive. In addition, older cohorts had semantic networks that were less connected and more segregated from each other. Finally, we found that women compared to men had more segregated and organized concepts of Beauty and Wellness. In contemporary societies that are pre-occupied by the pursuit of beauty and a healthy lifestyle, our findings shed novel light on how people think about beauty and wellness and how they are related across different age generations and by sex.

  20. Number of global social network users 2017-2028

    • statista.com
    • grusthub.com
    • +4more
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    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.
    
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GMLB trio 2024 (2025). genz-slang-dataset [Dataset]. https://huggingface.co/datasets/MLBtrio/genz-slang-dataset

genz-slang-dataset

MLBtrio/genz-slang-dataset

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 16, 2025
Dataset authored and provided by
GMLB trio 2024
Description

Dataset Details

This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.

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