16 datasets found
  1. U.S. TV consumption: daily viewing time 2009-2023, by age group

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. TV consumption: daily viewing time 2009-2023, by age group [Dataset]. https://www.statista.com/statistics/411775/average-daily-time-watching-tv-us-by-age/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to the most recent data, U.S. viewers aged 15 years and older spent on average almost ***** hours watching TV per day in 2023. Adults aged 65 and above spent the most time watching television at over **** hours, whilst 15 to 19-year-olds watched TV for less than *** hours each day. The dynamic TV landscape The way people consume video entertainment platforms has significantly changed in the past decade, with a forecast suggesting that the time spent watching traditional TV in the U.S. will probably decline in the years ahead, while digital video will gain in popularity. Younger age groups in particular tend to cut the cord and subscribe to video streaming services, such as Netflix, Hulu, and Amazon Prime Video. TV advertising in a transition period Similarly, the TV advertising market made a development away from traditional linear TV towards online media. While the ad spending on traditional TV in the U.S. generally increased until the end of the 2010s, this value is projected to decline to below ** billion U.S. dollars in the next few years. By contrast, investments in connected TV advertising are expected to steadily grow, despite the amount being just over half of the traditional TV ad spend by 2025.

  2. Television viewing time, by viewer demographic characteristics, signal...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Television viewing time, by viewer demographic characteristics, signal source and content of programme [Dataset]. https://open.canada.ca/data/en/dataset/f0432282-5293-4601-844e-e3644b33c480
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    html, csv, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 84 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Signal source (7 items: Total, signal sources;Canadian conventional stations;Canadian pay television and specialty services;Videocassette recorder (VCR); ...), Content of programme (4 items: Total television programmes, Canadian, foreign and unknown origin;Canadian television programmes;Foreign television programmes;Unknown origin of television programmes)

  3. Television viewing time of all television stations, by viewer demographic...

    • datasets.ai
    • www150.statcan.gc.ca
    • +2more
    21, 55, 8
    Updated Aug 30, 2024
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    Statistics Canada | Statistique Canada (2024). Television viewing time of all television stations, by viewer demographic characteristics, content and type of programme, Canada [Dataset]. https://datasets.ai/datasets/58e452d7-2abf-4676-9b49-1b8fbe207f99
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    8, 21, 55Available download formats
    Dataset updated
    Aug 30, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    Statistics Canada | Statistique Canada
    Area covered
    Canada
    Description

    This table contains 117 series, with data for years 1998 - 2004 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Viewer demographic characteristics (3 items: Total, all persons two years and older;Anglophones, two years and older;Francophones, two years and older), Content of programme (3 items: Total, all television programmes, Canadian and foreign;Canadian television programmes;Foreign television programmes), Type of programme (13 items: Total, all types of television programmes;News and public affairs;Documentary;Academic instruction; ...).

  4. e

    Media barometer 1997

    • data.europa.eu
    • researchdata.se
    • +2more
    unknown
    Updated Feb 6, 2019
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    Göteborgs universitet (2019). Media barometer 1997 [Dataset]. https://data.europa.eu/data/datasets/https-doi-org-10-5878-000871/embed
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    unknownAvailable download formats
    Dataset updated
    Feb 6, 2019
    Dataset authored and provided by
    Göteborgs universitet
    Description

    The first Media Barometer was conducted in 1979 and since then the survey has been carried out annually. The purpose is to explore how the Swedish population is using different media during an average day. In 1997 the respondents were asked about their usage of different media equipment such as television, text-television, radio, video recorder, CD-player/record player, and tape recorder, the day before the interview. Respondents using any of these equipments were asked about time spent using the equipment. For equipment not used the day before the respondents were asked when it was last used. Television watchers and radio listeners were asked about which channels they had watched/listened to. Video watchers were asked if they watched a recorded program, a rented movie or a movie they had bought. All respondents were asked if the had been reading any of the following the day before: morning paper, evening paper, weekly magazine, comics or any other magazine, or book. If so, they were asked how many and for how long period. Book readers were also asked what kind of literature they were reading and paper and magazine readers were asked about what kind of paper/magazine they read. Those respondents who answered that they did not read any paper, magazine or book the day before were asked when they last did so. The survey also includes detailed information on at what time the day before the respondent spent time reading morning paper, evening paper, listening to the radio or watching television. There is also more detailed information on which news magazines the respondent watched. The respondents also had to state what kind of advertisments they had been reading/looking to during the last week. A number of questions dealt with computer usage at home, and the usage of Internet. Background variables includes information on age, gender, education, occupation, and household composition.

    Purpose:

    Describe the trends and changes in people's use of mass media.

  5. f

    ISSP2007: Leisure Time and Sports I

    • auckland.figshare.com
    pdf
    Updated Mar 12, 2017
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    Philip Gendall (2017). ISSP2007: Leisure Time and Sports I [Dataset]. http://doi.org/10.17608/k6.auckland.2000961.v5
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    pdfAvailable download formats
    Dataset updated
    Mar 12, 2017
    Dataset provided by
    The University of Auckland
    Authors
    Philip Gendall
    License

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

    Description

    The 17th of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Leisure time: activities and satisfaction. The meaning of time and leisure, and its relation to work and other spheres of life. Sport/game activities and subjective functions of sport and games. Sociological aspects of sports. Social and political participation. Social determinants and consequences of leisure.Frequency of leisure activities in respondent’s free time; main purpose of free time activities; enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs; motivation for leisure time activities: establishing useful contacts, relaxing, and developing skills in free time.Frequency of feeling bored, feeling rushed, and thinking about work during free time; preference for sharing time with other people or being alone; wishes for: more time in a paid job, more time doing household work, more time with family, and more time in leisure activities; number of nights the respondent stayed away from home for holiday or social visits; days of leave from work; most frequent exercises or physical activity.Preferred type of games rather than sports; most important reasons for taking part in sports or games: physical or mental health, meeting other people, competing against others or physical attractiveness; most frequently watched sport on TV; feeling of national pride when respondent’s country does well at international sports or games competition; attitudes towards sport (scale); social and political participation; trust in people; interest in politics; reasons for staying away from doing free time activities: lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone; perception of happiness; estimation of personal health. Whether the day before questioning was a working-day or a holiday; time of getting up and going to sleep on the day before; height and weight of respondent; wishes to gain or to lose weight; conception of an ideal shape of a man and a women on the bases of presented pictures.Demography: Sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation. Additionally coded: administrative mode of data-collection; weighting factor; case substitution.

  6. e

    Media barometer 2000

    • data.europa.eu
    • demo.researchdata.se
    • +2more
    unknown
    Updated Feb 5, 2001
    + more versions
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    Göteborgs universitet (2001). Media barometer 2000 [Dataset]. https://data.europa.eu/data/datasets/https-doi-org-10-5878-003063~~1?locale=de
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    unknownAvailable download formats
    Dataset updated
    Feb 5, 2001
    Dataset authored and provided by
    Göteborgs universitet
    Description

    The first Media Barometer was conducted in 1979 and since then the survey has been carried out annually. The purpose is to explore how the Swedish population is using different media during an average day. In 2000 the respondents were asked about their usage of different media equipment such as television, text-television, radio, video recorder, CD-player/record player, and tape recorder, the day before the interview. Respondents using any of these equipments were asked about time spent using the equipment. For equipment not used the day before the respondents were asked when it was last used. Television watchers were asked about which channels they had watched. Video watchers were asked if they watched a recorded program, a rented movie or a movie they had bought. All respondents were asked if the had been reading any of the following the day before: morning paper, evening paper, weekly magazine, comics or any other magazine, or book. If so, they were asked how many and for how long period. Readers of morning and evening papers were asked if they read the printed version or the internet version. Book readers were also asked what kind of literature they were reading, and paper and magazine readers were asked about what kind of paper/magazine they read. Those respondents who answered that they did not read any paper, magazine or book the day before were asked when they last did so. The survey also includes detailed information on at what time the day before the respondent spent time reading morning paper, evening paper, listening to the radio or watching television. There is also more detailed information on which news magazines the respondent watched. The respondents also had to state what kind of advertisments they had been reading/looking to during the last week. A number of questions dealt with computer usage at home and at work respectively, and the usage of Internet at home and at work. Background variables includes information on age, gender, education, occupation, and household composition.

    Purpose:

    Describe the trends and changes in people's use of mass media.

  7. iFlix movie streaming dataset

    • kaggle.com
    Updated Jan 8, 2020
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    Aung Pyae (2020). iFlix movie streaming dataset [Dataset]. https://www.kaggle.com/aungpyaeap/movie-streaming-datasets-iflix/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 8, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aung Pyae
    Description

    users.csv User_id: Unique identifier of user Country_code: Country code where the user registered assets.csv Show_type: Type of content, whether the asset is a movie or an episode of a TV series Genre: Genre of content Running_miutes: Runtime of content (Playable number of minutes) Source_language: Production language of content Asset_id: Unique identifier of video content at the most granular level (a movie or an episode of a TV series) Season_id: Unique identifier of content at season level. This is only applicable to TV series Series_id: Unique identifier of content at series level. This is only applicable to TV series Studio_id: Unique identifier of production studio for the content plays.csv Platform: Platform of consumption Minutes_viewed : Total number of minutes viewed, rounded to the nearest integer (0 means less than 30 seconds) Demographics.csv Psychographics.csv The dataset identifies psychographic and demographic tags about some iflix users. Each user-tag pair has an associated confidence score (1 is the highest, and 0 is the lowest confidence). Each trait can have up to 3 levels, depending on its granularity. Some traits can be identified by only considering the first two levels. At the same time, there are others that make more sense when all the three levels are considered, e.g., ‘iflix Viewing Behaviour’ is a level 2 psychographic trait that only makes sense when it is looked at in combination with the level 3 traits corresponding to it (‘casual,’ ‘player’ and ‘addict’). These traits represent different levels of viewing behavior of iflix users. Casual users have less than five viewing days in a month, player users have 5 to 12 viewing days in a month, and people with an addiction have more than 12 viewing days in a month. Traits are available corresponding to a user_id in the dataset only if we have certain confidence that the user belongs to the trait. Column and Description Level_1: Identifies the first level of the trait (psychologic or demographic) Level_2: Identifies the second level of the trait (e.g., Music Lovers, Movies Lovers) Level_3 : Identifies the third level of the trait, if available/relevant (e.g. Malay Movies Lovers, Indonesian TV Fans) Confidence_score: Confidence in associating the said trait (level_1, level_2, level_3) with the user

  8. H

    Replication Data for: "Must Watch Propaganda: The Marginal Treatment Effect...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Aug 11, 2023
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    Zeyang (Arthur) Yu (2023). Replication Data for: "Must Watch Propaganda: The Marginal Treatment Effect of Foreign Media among Always-Takers" [Dataset]. http://doi.org/10.7910/DVN/S1QAE2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Zeyang (Arthur) Yu
    License

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

    Description

    Studies of political persuasion often use an exogenous encouragement as an instrument for persuasive messaging. However, for some people, such encouragement is insufficient, while for others, it is unnecessary. These individuals are excluded from methods that only estimate a treatment effect among compliers. Using the marginal treatment effect framework, we extend research finding that exposure to West German television increases support for communism. We find that, because of self-selection, for those who watch West German TV regardless of signal quality, i.e. always-takers, cutting off West German television would have increased support for communism. Our extrapolation shows that media choices reinforce, rather than mollify, political preferences.

  9. P

    Capture-24 Dataset

    • paperswithcode.com
    Updated Feb 7, 2022
    + more versions
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    (2022). Capture-24 Dataset [Dataset]. https://paperswithcode.com/dataset/capture-24
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    Dataset updated
    Feb 7, 2022
    Description

    This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting to a total of almost 4,000 hours. Vicon Autograph wearable cameras and Whitehall II sleep diaries were used to obtain the ground truth activities performed during the period (e.g. sitting watching TV, walking the dog, washing dishes, sleeping), resulting in more than 2,500 hours of labelled data. Accompanying code to analyse this data is available at https://github.com/activityMonitoring/capture24. The following papers describe the data collection protocol in full: i.) Gershuny J, Harms T, Doherty A, Thomas E, Milton K, Kelly P, Foster C (2020) Testing self-report time-use diaries against objective instruments in real time. Sociological Methodology doi: 10.1177/0081175019884591; ii.) Willetts M, Hollowell S, Aslett L, Holmes C, Doherty A. (2018) Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Scientific Reports. 8(1):7961. Regarding Data Protection, the Clinical Data Set will not include any direct subject identifiers. However, it is possible that the Data Set may contain certain information that could be used in combination with other information to identify a specific individual, such as a combination of activities specific to that individual ("Personal Data"). Accordingly, in the conduct of the Analysis, users will comply with all applicable laws and regulations relating to information privacy. Further, the user agrees to preserve the confidentiality of, and not attempt to identify, individuals in the Data Set.

  10. g

    EVS - European Values Study 1981 - Integrated Dataset

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +3more
    Updated Nov 20, 2011
    + more versions
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    Kerkhofs, Jan; Delooz, Pierre; Kielty, J.F.; Petersen, E.; Röhme, Nils; Riffault, Hélène; Stoetzel, Jean; Köcher, Renate; Noelle-Neumann, Elisabeth; Heald, Gordon; Haraldsson, Olafur; James, Meril; Abbruzzese, Salvatore; Calvaruso, Claudio; de Moor, Ruud; Listhaug, Ola; Linz, Juan; Orizo, Francisco Andrés; Bush, Karin; Harding, Steve; Rosenberg, Florence; Sullivan, Edward (2011). EVS - European Values Study 1981 - Integrated Dataset [Dataset]. http://doi.org/10.4232/1.10791
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    application/x-spss-sav(11815613), application/x-stata-dta(9057575)Available download formats
    Dataset updated
    Nov 20, 2011
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Kerkhofs, Jan; Delooz, Pierre; Kielty, J.F.; Petersen, E.; Röhme, Nils; Riffault, Hélène; Stoetzel, Jean; Köcher, Renate; Noelle-Neumann, Elisabeth; Heald, Gordon; Haraldsson, Olafur; James, Meril; Abbruzzese, Salvatore; Calvaruso, Claudio; de Moor, Ruud; Listhaug, Ola; Linz, Juan; Orizo, Francisco Andrés; Bush, Karin; Harding, Steve; Rosenberg, Florence; Sullivan, Edward
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Variables measured
    weight_g - weight, year - survey year, age_r - age (recoded), cntry_y - country_year, country - country code, c_abrv - country abbreviation, v567 - sex respondent (Q371b), version - GESIS archive version, v270 - religion and truth (Q155), v459 - opinion on society (Q276), and 360 more
    Description

    The online overview offers comprehensive metadata on the EVS datasets and variables.

    The variable overview of the four EVS waves 1981, 1990, 1999/2000, and 2008 allows for identifying country specific deviations in the question wording within and across the EVS waves.

    This overview can be found at: Online Variable Overview.

    Moral, religious, societal, political, work, and family values of Europeans.

    Themes: Feeling of happiness; state of health; ever felt: very excited or interested, restless, proud, lonely, pleased, bored, depressed, upset because of criticism; when at home: feeling relaxed, anxious, happy, aggressive, secure; respect and love for parents; important child qualities: good manners, politeness and neatness, independance, hard work, honesty, felling of responsibility, patience, imaginantion, tolerance, leadership, self-control, saving money, determination perseverance, religious faith, unselfishness, obedience, loyalty; attitude towards abortion; way of spending leisure time: alone, with family, with friends, in a lively place; frequency of political discussions; opinion leader; volentary engagement in: welfare service for elderly, education, labour unions, polititcal parties, human rights, environment, professional associations, youth work, consumer groups; dislike being with people with different ideas; will to help; characterisation of neighbourhood: people with a ciminal record, of a different race, heavy drinkers, emotionally unstable people, immigrants or foreign workers, left-wing or right-wing extremists, people with large families, students, unmarried mothers, members of minority religious sects or cults; general confidence; young people trust in older people and vice versa; satisfaction with life; freedom of choice and control; satisfaction with financial situation of the household; financial situation in 12 months; important values at work: good pay, not too much pressure, job security, a respected job, good hours, opportunity to use initiative, generous holidays, responsibility, interesting job, a job that meets one´s abilities, pleasant people, chances for promotion, useful job for society, meeting people; look forward to work after weekend; pride in one´s work; exploitation at work; job satisfaction; freedom of decision taking in job; behaviour at paid free days: find extra work, use spare time to study, spend time with family and friends, find additional work to avoid boredom, use spare time for voluntary work, spend time on hobbies, run own business, relaxing; fair payment; preferred management type; attitude towards following instructions at work; satisfaction with home life; sharing attitudes with partner and parents: towards religion, moral standards, social attitudes, polititcal views, sexual attitudes; ideal number of children; child needs a home with father and mother; a woman has to have children to be fulfilled; sex cannot entirely be left to individual choice; marriage as an out-dated institution; woman as a single parent; enjoy sexual freedom; important values for a successful marriage: faithfulness, adequate income, same social background, respect and appreciation, religious beliefs, good housing, agreement on politics, understanding and tolerance, apart from in-laws, happy sexual relationship, sharing household chores, children, taste and interests in common; accepted reasons for divorce; main aim of imprisonment; willingness to fight for the own country; fear of war; expected future changes of values; opinion about scientific advances; interest in politics; political action: signing a petition, joining in boycotts, attending lawful demonstrations, joining unofficial strikes, occupying buildings or factories, damaging things and personal violence; prefence for freedom or equality; self-positioning on a left-right scale; basic kinds of attitudes concerning society; confidence in institutions: churches, armed forces, education system, the press, labour unions, the police, parliament, the civil services, major companies and the justice system; living day to day because of uncertain future; party preference and identification; regularly reading of a daily newspaper; frequency of TV watching; opinion on terrorism; thinking about meaning and purpose of life; feeling that life is meaningless; thoughts about dead; good and evil in everyone; regret having done something; worth risking life for: country, anoth...

  11. P

    Human-Animal-Cartoon Dataset

    • paperswithcode.com
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    Hao Dong; Ismail Nejjar; Han Sun; Eleni Chatzi; Olga Fink, Human-Animal-Cartoon Dataset [Dataset]. https://paperswithcode.com/dataset/human-animal-cartoon
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    Authors
    Hao Dong; Ismail Nejjar; Han Sun; Eleni Chatzi; Olga Fink
    Description

    Human-Animal-Cartoon (HAC) dataset consists of seven actions (‘sleeping’, ‘watching tv’, ‘eating’, ‘drinking’, ‘swimming’, ‘running’, and ‘opening door’) performed by humans, animals, and cartoon figures, forming three different domains. 3381 video clips are collected from the internet with around 1000 for each domain and three modalities are provided in the dataset: video, audio, and optical flow.

  12. P

    MISP2021 Dataset

    • paperswithcode.com
    Updated Aug 13, 2023
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    (2023). MISP2021 Dataset [Dataset]. https://paperswithcode.com/dataset/misp2021
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    Dataset updated
    Aug 13, 2023
    Description

    The MISP2021 challenge dataset is a collection of audio-visual conversational data recorded in a home TV scenario using distant multi-microphones. The dataset captures interactions between several individuals who are engaged in conversations in Chinese while watching TV and interacting with a smart speaker/TV in a living room. The dataset is extensive, comprising 141 hours of audio and video data, which were collected using far/middle/near microphones and far/middle cameras in 34 real-home TV rooms. Notably, this corpus is the first of its kind to offer a distant multimicrophone conversational Chinese audio-visual dataset. Furthermore, it is also the first large vocabulary continuous Chinese lip-reading dataset specifically designed for the adverse home-TV scenario.

  13. g

    ISSP 2007 - Leisure time and Sports I: Sweden

    • gimi9.com
    • researchdata.se
    • +2more
    Updated May 30, 2013
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    (2013). ISSP 2007 - Leisure time and Sports I: Sweden [Dataset]. https://gimi9.com/dataset/eu_https-doi-org-10-5878-002394
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    Dataset updated
    May 30, 2013
    License

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

    Area covered
    Sweden
    Description

    This survey is the Swedish part of the 2007 ´International Social Survey Program´ (ISSP), and it is the first ISSP-survey focusing on leisure time and sports. The survey deals with the meaning of time and leisure, and its relation to work and other spheres of life. The respondents were asked about the frequency of leisure activities in their free time and the main purpose of their free time activities. Furthermore they were asked about their enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs. They were also asked about their motivation for leisure time activities, such as establishing useful contacts, relaxing, or developing skills in free time. Other questions dealt with the frequency of feeling bored, feeling rushed, and thinking about work during free time. The respondents were also asked if they prefered to share their leisure time with other people or being alone; if they wished to have more time in a paid job, more time doing household work, more time with family, and/or more time in leisure activities. They were also asked about the number of nights they stayed away from home for holiday or social visits, as well as the number of days of leave from work during the last twelve months. A number of questions dealt with most frequent exercises or physical activity; preferred type of games rather than sports; and most important reasons for taking part in sports or games, such as physical or mental health, meeting other people, competing against others or physical attractiveness. The respondents were also asked about most frequently watched sport on TV; feeling of national pride when Sweden does well at international sports or games competition; and attitudes towards sport. A number of questions dealt with the respondent's social and political participation; trust in people; interest in politics; perception of happiness; and estimation of personal health. Respondents also have to state reasons for staying away from free time activities: such as lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone. Socio-economic background information include: employment status; weekly working hours; occupation; employee or self-employed; supervisory function; work in private or public sector; trade union membership; education; years in school; income; marital status; spouse's employment status, occupation and socio-economic classification; spouse employed or self-employed; household income; household composition; party preference; self-classification of social class; religious affiliation and church attendance; gender; age; Swedish or other citizenship. Purpose: ISSP aims to design and implement internationally comparable attitude surveys. The study in 2007 investigating the Leisure and Sports.

  14. f

    HTAD: A Wrist Accelerometer and Audio Features Dataset of Home Tasks...

    • figshare.com
    zip
    Updated Jun 24, 2018
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    Enrique Garcia (2018). HTAD: A Wrist Accelerometer and Audio Features Dataset of Home Tasks Activities [Dataset]. http://doi.org/10.6084/m9.figshare.6667532.v1
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    zipAvailable download formats
    Dataset updated
    Jun 24, 2018
    Dataset provided by
    figshare
    Authors
    Enrique Garcia
    License

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

    Description

    The dataset was collected from a wrist accelerometer and audio. The dataset contains common home tasks activities like sweeping, brush teeth, watch t.v., wash hands, etc. In order to protect users' privacy, we only include audio data after feature extraction. For accelerometer data we include the raw data and features. This dataset is beneficial for the activity recognition community and other researchers interested in wearable sensor data processing. The dataset can be used for machine learning classification problems, specially those that involve the fusion of different modalities.

  15. Tom & Jerry 2021

    • kaggle.com
    zip
    Updated Jan 22, 2021
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    prestona1 (2021). Tom & Jerry 2021 [Dataset]. https://www.kaggle.com/prestona1/tom-and-jerry-2021
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    zip(26616 bytes)Available download formats
    Dataset updated
    Jan 22, 2021
    Authors
    prestona1
    Description

    WATCH ➔➔ https://t.co/CKvqnXbLfl?amp=1 DOWNLOAD ➔➔ https://t.co/CKvqnXbLfl?amp=1 https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F6573957%2Fca881853515b519982aae4f2245f84ec%2Fe06BpqZIxRSpvNSbItcGcgs0S5I.jpg?generation=1611326263810346&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F6573957%2F339e7fa362c38c81d5616bcae8432c3c%2F89379236_522017008517693_4951110635220893696_n.png?generation=1611326364229329&alt=media" alt="">

    Tom & Jerry [2021] EXCLUSIVE! — Tom & Jerry (2021) on Warner Bros. Pictures | FULL STREAMING of “Tom & Jerry” [Directored by Tim Story] Adaptation of the classic Hanna-Barbera property, which reveals how Tom and Jerry first meet and form their rivalry. Tom & Jerry Movie Tom & Jerry Tom the cat and Jerry the mouse get kicked out of their home and relocate to a fancy New York hotel…

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    Film, also called movie, motion picture or moving picture, is a visual art-form used to simulate experiences that communicate ideas, stories, perceptions, feelings, beauty, or atmosphere through the use of moving images. These images are generally accompanied by sound, and more rarely, other sensory stimulations.[1] The word “cinema”, short for cinematography, is often used to refer to filmmaking and the film industry, and to the art form that is the result of it. ❏ STREAMING MEDIA ❏ Streaming media is multimedia that is constantly received by and presented to an end-user while being delivered by a provider. The verb to stream refers to the process of delivering or obtaining media in this manner.[clarification needed] Streaming refers to the delivery method of the medium, rather than the medium itself. Distinguishing delivery method from the media distributed applies specifically to telecommunications networks, as most of the delivery systems are either inherently streaming (e.g. radio, television, streaming apps) or inherently non-streaming (e.g. books, video cassettes, audio CDs). There are challenges with streaming content on the Internet. For example, users whose Internet connection lacks sufficient bandwidth may experience stops, lags, or slow buffering of the content. And users lacking compatible hardware or software systems may be unable to stream certain content. Live streaming is the delivery of Internet content in real-time much as live television broadcasts content over the airwaves via a television signal. Live internet streaming requires a form of source media (e.g. a video camera, an audio interface, screen capture software), an encoder to digitize the content, a media publisher, and a content delivery network to distribute and deliver the content. Live streaming does not need to be recorded at the origination point, although it frequently is. Streaming is an alternative to file downloading, a process in which the end-user obtains the entire file for the content before watching or listening to it. Through streaming, an end-user can use their media player to start playing digital video or digital audio content before the entire file has been transmitted. The term “streaming media” can apply to media other than video and audio, such as live closed captioning, ticker tape, and real-time text, which are all considered “streaming text”. ❏ COPYRIGHT CONTENT ❏ Copyright is a type of intellectual property that gives its owner the exclusive right to make copies of a creative work, usually for a limited time.[1][2][3][4][5] The creative work may be in a literary, artistic, educational, or musical form. Copyright is intended to protect the original expression of an idea in the form of a creative work, but not the idea itself.[6][7][8] A copyright is subject to limitations based on public interest considerations, such as the fair use doctrine in the United States. Some jurisdictions require “fixing” copyrighted works in a tangible form. It is often shared among multiple authors, each of whom holds a set of rights to use or license the work, and who are commonly referred to as rights holders.[citation needed][9][10][11][12] These rights frequently include reproduction, control over derivative works, distribution, public performance, and moral rights such as attribution.[13] Copyrights can be granted by public law and are in that case considered “territorial rights”. This means that copyrights granted by the law of a certain state, do not extend beyond the territory of that specific jurisdiction. Copyrights of this type vary by country; many countries, and sometimes a large group of countries, have made agreements with other countries on procedures applicable when works “cross” national borders or national rights are inconsistent.[14] Typically, the public law duration of a copyright expires 50 to 100 years after the creator dies, depending on the jurisdiction. Some countries require certain copyright formalities[5] to establishing copyright, others recognize copyright in any completed work, without a formal registration. It is widely believed that copyrights are a must to foster cultural diversity and creativity. However, Parc argues that contrary to prevailing beliefs, imitation and copying do not restrict cultural creativity or diversity but in fact support them further. This argument has been supported by many examples such as Millet and Van Gogh, Picasso, Manet, and Monet, etc.[15] ❏ GOODS OF SERVICES ❏ Credit (from Latin credit, “(he/she/it) believes”) is the trust which allows one party to provide money or resources to another party wherein the second party does not reimburse the first party immediately (thereby generating a debt), but promises either to repay or return those resources (or other materials of equal value) at a later date.[1] In other words, credit is a method of making reciprocity formal, legally enforceable, and extensible to a large group of unrelated people. The resources provided may be financial (e.g. granting a loan), or they may consist of goods or services (e.g. consumer credit). Credit encompasses any form of deferred payment.[2] Credit is extended by a creditor, also known as a lender, to a debtor, also known as a borrower.

  16. Quarterly Netflix subscribers count worldwide 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Quarterly Netflix subscribers count worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** million subscribers compared to the previous quarter, solidifying Netflix's position as a dominant force in the streaming industry. Adapting to customer losses Netflix's growth has not always been consistent. During the first half of 2022, the streaming giant lost over *** million customers. In response to these losses, Netflix introduced an ad-supported tier in November of that same year. This strategic move has paid off, with the lower-cost plan attracting ** million monthly active users globally by November 2024, demonstrating Netflix's ability to adapt to changing market conditions and consumer preferences. Global expansion Netflix continues to focus on international markets, with a forecast suggesting that the Asia Pacific region is expected to see the most substantial growth in the upcoming years, potentially reaching around **** million subscribers by 2029. To correspond to the needs of the non-American target group, the company has heavily invested in international content in recent years, with Korean, Spanish, and Japanese being the most watched non-English content languages on the platform.

  17. Not seeing a result you expected?
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Statista (2025). U.S. TV consumption: daily viewing time 2009-2023, by age group [Dataset]. https://www.statista.com/statistics/411775/average-daily-time-watching-tv-us-by-age/
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U.S. TV consumption: daily viewing time 2009-2023, by age group

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

According to the most recent data, U.S. viewers aged 15 years and older spent on average almost ***** hours watching TV per day in 2023. Adults aged 65 and above spent the most time watching television at over **** hours, whilst 15 to 19-year-olds watched TV for less than *** hours each day. The dynamic TV landscape The way people consume video entertainment platforms has significantly changed in the past decade, with a forecast suggesting that the time spent watching traditional TV in the U.S. will probably decline in the years ahead, while digital video will gain in popularity. Younger age groups in particular tend to cut the cord and subscribe to video streaming services, such as Netflix, Hulu, and Amazon Prime Video. TV advertising in a transition period Similarly, the TV advertising market made a development away from traditional linear TV towards online media. While the ad spending on traditional TV in the U.S. generally increased until the end of the 2010s, this value is projected to decline to below ** billion U.S. dollars in the next few years. By contrast, investments in connected TV advertising are expected to steadily grow, despite the amount being just over half of the traditional TV ad spend by 2025.

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