35 datasets found
  1. Gen Z Money Spending Dataset

    • kaggle.com
    Updated Jan 31, 2025
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    Anand Kumar (2025). Gen Z Money Spending Dataset [Dataset]. https://www.kaggle.com/datasets/manandkumar/gen-z-money-spending-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Anand Kumar
    License

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

    Description

    This dataset provides insights into the spending habits of Gen Z (ages 18-27) across various categories such as rent, groceries, entertainment, education, savings, and more. It contains 1700 records and 15 financial attributes, making it a valuable resource for financial trend analysis, budgeting studies, and machine learning applications in personal finance.

  2. e

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

    • b2find.eudat.eu
    Updated Jul 15, 2021
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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 :

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

    • statista.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.

  4. Data from: Gen Z and Beyond: A Survey for Every Generation, 2021-2023

    • beta.ukdataservice.ac.uk
    Updated 2023
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    UK Data Service (2023). Gen Z and Beyond: A Survey for Every Generation, 2021-2023 [Dataset]. http://doi.org/10.5255/ukda-sn-856374
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    Dataset updated
    2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Description

    The Zoroastrian community today faces many challenges, some of which are deep-rooted and complex with no easy fix or resolution. It was proposed by members of the community that an independent research project should be conducted to help understand the community as it exists today. Gen Z and Beyond: A Survey for Every Generation was a completely anonymous survey for Iranian / Parsi / Irani Zoroastrians. It was conducted by researchers at the SOAS Shapoorji Pallonji Institute of Zoroastrian Studies (SSPIZS). SOAS was chosen as a neutral platform for research, so that the researchers would not support any particular outcome from the survey. The project was approved by the SOAS Research Ethics Panel. There has been no other survey of this nature undertaken on the global Zoroastrian community. The survey questionnaire was wide-ranging and included questions about domestic and family life, professional aspirations, religious observances and beliefs, philanthropy, entrepreneurship, immigration, community engagement and other issues of importance and relevance to the (Iranian / Parsi / Irani) Zoroastrian community. The purpose of conducting the survey was to produce a report and dataset that could be of use to community leaders and researchers in the present and future.

  5. 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
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    .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

  6. 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.

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

    • statista.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    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.
    
  8. A

    ‘🍒 Social Influence on Shopping’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘🍒 Social Influence on Shopping’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-social-influence-on-shopping-b26b/7b601dbe/?iid=003-288&v=presentation
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    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘🍒 Social Influence on Shopping’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/social-influence-on-shoppinge on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    This data was collected on our social survey mobile platform Whatsgoodly. We have 300,000 millennial and Gen Z members, and have collected 150,000,000 survey responses from this demographic to date.

    This dataset was created by Adam Halper and contains around 1000 samples along with Count, Segment Type, technical information and other features such as: - Segment Description - Percentage - and more.

    How to use this dataset

    • Analyze Answer in relation to Question
    • Study the influence of Count on Segment Type
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Adam Halper

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  9. 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.
  10. d

    AGE OF TRANSITION: COMPETITIVENESS OF GEN Z IN INDONESIA

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Fahadayna, Adhi Cahya; AGUNG SUGENG WIDODO, ST. MT., PHD; ISMA ADILA, S.I.KOM, M.A; Adam Hendra Brata, S.Kom., M.T., M.Sc.; MIKCHAELL ALFANOV PARDAMEAN P., S.PI., MP (2023). AGE OF TRANSITION: COMPETITIVENESS OF GEN Z IN INDONESIA [Dataset]. http://doi.org/10.7910/DVN/2ANOWQ
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Fahadayna, Adhi Cahya; AGUNG SUGENG WIDODO, ST. MT., PHD; ISMA ADILA, S.I.KOM, M.A; Adam Hendra Brata, S.Kom., M.T., M.Sc.; MIKCHAELL ALFANOV PARDAMEAN P., S.PI., MP
    Area covered
    Indonesia
    Description

    Globalization has made human mobility high and the employment sector in a tight competition. In this era of globalization, all workers from various countries can find the same point of competition, Indonesia is no exception. Indonesia has a high population surplus and Indonesia also has a population dominated by productive generations. However, the era of globalization also brings a quite worrying impact, namely in the age of free competition. With the implementation of free trade cooperation, many foreign workers must be allowed to work in Indonesia and compete freely with workers from Indonesia. Competitiveness is crucial to keep Indonesian workers have a sense of competitiveness with workers from other countries (Ernst & Haar, 2019). The purpose of this study is to determine the competitiveness of Generation Z in the face of a free work competition in the disruptive era by identifying some main ideas about preparing and equipping Generation Z in developing portfolios and skills needed by the world of work. This research will use two option methods. The first method is a quantitative paradigm by using a questionnaire as a tool to determine the respondent's perspective with some questions. The second method is a qualitative paradigm by using a focus group discussion to describe a detail of the phenomenon to be analyzed comprehensively.

  11. u

    Gen Z perceptions and behavioural responses to health crisis communication...

    • researchdata.up.ac.za
    docx
    Updated Nov 27, 2024
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    Bambolunye Dlamini (2024). Gen Z perceptions and behavioural responses to health crisis communication during COVID-19 in South Africa [Dataset]. http://doi.org/10.25403/UPresearchdata.27907722.v1
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    docxAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    University of Pretoria
    Authors
    Bambolunye Dlamini
    License

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

    Area covered
    South Africa
    Description

    This dataset aims to determine the views, perceptions and behaviours of Generation Z in South Africa towards health crisis communication during the COVID-19 pandemic. The data was collected through semi-structured face-to-face interviews, and the 12 participants were selected from across the gender among Gen Z at the University of Pretoria. These interviews dwelled on areas like trust in government messaging, adherence to health measures, using social and digital platforms to share information and attitudes towards contradictory or inconsistent health information.The semi-structured interview methodology combining some extent of formal questions and answers with detailed participants’ descriptions gave profound qualitative data. It was, therefore, essential to come up with questions that would bring out episodes, feelings and thought processes that people went through during the pandemic. This way of working was helpful in thoroughly investigating the topics of interest while respecting the participants’ priorities. The dataset is central to this part of the analysis because cognitive dissonance, communication strategies, and behavioural outcomes are presumably linked in this population.

  12. Mental health effects of social media for users in the U.S. 2024

    • statista.com
    Updated Nov 22, 2024
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    Statista (2024). Mental health effects of social media for users in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1369032/mental-health-social-media-effect-us-users/
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 13, 2024
    Description

    According to a March 2024 survey conducted in the United States, 32 percent of adults reported feeling that social media had neither a positive nor negative effect on their own mental health. Only seven percent of social media users said that online platforms had a very positive effect on their mental health, while 12 percent of users said it had a very negative impact. Furthermore, 22 percent of respondents said social media had a somewhat negative effect on their mental health. Is social media addictive? A 2023 survey of individuals between 11 and 59 years old in the United States found that over 73 percent of TikTok users agreed that the platform was addictive. Furthermore, nearly 27 percent of those surveyed reported experiencing negative psychological effects related to TikTok use. Users belonging to Generation Z were the most likely to say that TikTok is addictive, yet millennials felt the negative effects of using the app more so than Gen Z. In the U.S., it is also not uncommon for social media users to take breaks from using online platforms, and as of March 2024, over a third of adults in the country had done so. Following mental health-related content Although online users may be aware of the negative and addictive aspects of social media, it is also a useful tool for finding supportive content. In a global survey conducted in 2023, 32 percent of social media users followed therapists and mental health professionals on social media. Overall, 24 percent of respondents said that they followed people on social media if they had the same condition as they did. Between January 2020 and March 2023, British actress and model Cara Delevingne was the celebrity mental health activist with the highest growth in searches tying her name to the topic.

  13. 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.

  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. Instagram: distribution of global audiences 2024, by gender

    • statista.com
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    Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

                  Instagram’s Global Audience
    
                  As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
                  As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
    
                  Who is winning over the generations?
    
                  Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
    
  16. A

    ‘Birds Aren't Real on Twitter Either’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Birds Aren't Real on Twitter Either’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-birds-aren-t-real-on-twitter-either-061e/latest
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Birds Aren't Real on Twitter Either’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/gpreda/birds-arent-real-on-twitter-either on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    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. These drones perform, in this conspiracy theory, surveillance of the citizens.

    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://miro.medium.com/max/900/1*XZYUDhEZhkPijdfAuDOfrw.jpeg" alt="">

    Collection

    Tweets from @birdsarenotreal account on Twitter and using #birdsarenotreal hashtag

    Collected using tweepy.

    The data is not filtered.

    Inspiration

    Use the texts in this dataset to:

    • improve your skills on doing data analysis using this data;
    • perform sentiment analysis;
    • perform topic modelling on the text corpus.

    Note: you can combine this data (from Twitter) with data collected from Reddit, here: Birds Aren't Real.

    https://patch.com/img/cdn20/users/23306266/20200921/034432/styles/patch_image/public/birdsarentreal_21154403852.jpg" alt="">

    --- Original source retains full ownership of the source dataset ---

  17. Average daily time spent on social media worldwide 2012-2025

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

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

  18. 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.

  19. Data from: Young adults living with their parents

    • ons.gov.uk
    • cy.ons.gov.uk
    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
    Explore at:
    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.

  20. e

    Generation Z - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Jul 23, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Jul 23, 2025
    Description

    Lebensumstände und Familie. Werte und Einstellungen. Informations- und Kommunikationsverhalten. Politische Einstellungen und politische Partizipation. Themen: Lebensumstände und Familie: Lebenszufriedenheit; Einschätzung der persönlichen Zukunftsperspektiven; Einschätzung der Zukunftsperspektiven der eigenen Generation; Verhältnis zu den Eltern; höchster Schulabschluss der Eltern; Häufigkeit des Verzichts aufgrund der finanziellen Situation; Geldquellen zur persönlichen Verwendung; wichtigste Geldquelle. Werte und Einstellungen: Vorbild vorhanden; Vorbild genannt; Lebensziele; Wichtigkeit ausgewählter Lebensziele; Wichtigkeit verschiedener Berufsaspekte; persönliche Werte (Gegenüberstellung von Werten); Verbundenheit mit der Gemeinde, der Region, dem Bundesland, Deutschland und Europa. Informations- und Kommunikationsverhalten: Nutzungshäufigkeit von sozialen Netzwerken; präferierte Plattformen; Art der Nutzung sozialer Netzwerke; Politikinteresse; Berührungspunkte mit Politik im Alltag; Häufigkeit der Mediennutzung über Politik: präferierte Informationsquellen über Politik; Vertrauen in verschiedene Medien. Politische Einstellungen: Demokratiezufriedenheit; Demokratie als gute Regierungsform; Reformbedarf in der Politik; Zufriedenheit mit der Arbeit der Bundesregierung; Institutionenvertrauen; Parteisympathie; Einstellungen zu Politik und Gesellschaft; Präferenz hinsichtlich der zukünftigen Außenpolitik Deutschlands; Einstellung zur EU. Politische Partizipation: Art des politischen Engagements; Ehrenamt; ehrenamtliche Tätigkeit genannt; Interesse am Thema Klimaschutz bei Fridays for Future; Teilnahme an einer Fridays for Future Demonstration; Zustimmung zu Aussagen zu Reaktionen von Politik und Gesellschaft auf die Fridays for Future Demonstrationen. Demographie: Geschlecht; Alter; höchster bislang erreichter Bildungsabschluss; derzeitiger Schul-/Fachhochschul-/ Universitätsbesuch; Art der Schule bzw. Bildungseinrichtung; Erwerbstätigkeit; Wohnsituation; Migrationshintergrund; Bundesland; Ortsgröße. Zusätzlich vekodet wurde: Befragten-ID; Filtervariable; Ehrenamt und Vorbilder; Gewichtungsfaktoren. Living conditions and family. Values and attitudes. Information and communication behaviour. Political attitudes and political participation. Topics: Life circumstances and family: life satisfaction; assessment of personal future prospects; assessment of future prospects of own generation; relationship with parents; highest level of school-leaving qualifications of parents; frequency of renunciation due to financial situation; sources of money for personal use; most important source of money. Values and attitudes: role model available; role model named; life goals; importance of selected life goals; importance of various professional aspects; personal values (comparison of values); attachment to the community, the region, the state, Germany and Europe. Information and communication behaviour: frequency of use of social networks; preferred platforms; type of use of social networks; interest in politics; points of contact with politics in everyday life; frequency of media use about politics: preferred sources of information about politics; trust in different media. Political attitudes: satisfaction with democracy; democracy as a good form of government; need for reform in politics; satisfaction with the work of the federal government; trust in institutions; party sympathy; attitudes to politics and society; preference regarding Germany´s future foreign policy; attitude towards the EU. Political participation: type of political commitment; voluntary work; volunteer work mentioned; interest in the topic of climate protection at Fridays for Future; participation in a Fridays for Future demonstration; agreement to statements on reactions of politics and society to Fridays for Future demonstrations. Demography: sex; age; highest educational attainment to date; current level of education; type of school/college/university attended; type of school or educational institution; employment; housing situation; migration background; state; city size. Additionally coded was: respondent ID; filter variable; volunteering and role models; weighting factors. Self-administered questionnaire: Web-based Deutschsprachige Bevölkerung im Alter von 14 bis 24 Jahren in Privathaushalten German-speaking population aged 14 to 24 years in private households Nicht-Wahrscheinlichkeitsauswahl: Quotenstichprobe; Auswahlverfahren Kommentar: Quotenstichprobe aus offline rekrutiertem Online-Access-Panel

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Anand Kumar (2025). Gen Z Money Spending Dataset [Dataset]. https://www.kaggle.com/datasets/manandkumar/gen-z-money-spending-dataset
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Gen Z Money Spending Dataset

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 31, 2025
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Anand Kumar
License

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

Description

This dataset provides insights into the spending habits of Gen Z (ages 18-27) across various categories such as rent, groceries, entertainment, education, savings, and more. It contains 1700 records and 15 financial attributes, making it a valuable resource for financial trend analysis, budgeting studies, and machine learning applications in personal finance.

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