In 2024, TV consumption in the United States was highest among African Americans and Black people, who watched an average of **** hours of TV each day. At the same time, the viewing time dropped among Asian Americans to under *** hours TV and streaming engagement among racial groups As of mid 2022, The U.S. population still spent most of their time watching TV and streaming content on traditional media, such as cable and broadcast. Roughly ** percent of their viewing time was allocated to streaming. It was also observed that Hispanics were more likely to use online video platforms than any other ethnic group, with a viewing time share of over ** percent. By contrast, using streaming services accounted for around ****third of the total viewing time among white and Asian consumers. Traditional TV vs. digital video The way consumers watch TV shows and movies has changed significantly. A forecast showed that traditional TV consumption among Americans will continue to steadily decline in the upcoming years. Meanwhile, with an increasing number of consumers adopting streaming and social videos, digital video soars, outpacing TV viewing time by the end of 2023.

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)

A survey conducted in the United States in 2023 revealed that most CTV viewers were between the ages of 18 and 34 years, with nearly ********** of respondents using these devices on a daily basis. Meanwhile, ** percent of people aged over 55 years watched videos via connected TVs every day.

Although ** percent of the U.S. population in 2019 was Hispanic or Latino, only **** percent of regular talent performing in debut TV shows were from this demographic. Comparing the size of racial and ethnic minorities in the United States population to the casts of television series, talent from American Indian, Alaskan Native, Native Hawaiian and Pacific Islander were all underrepresented.

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; ...).

According to data gathered in late 2024, ** percent of adults aged 65 years or over watched news on TV at least sometimes, more than double the share of adults under ** who did the same. Older news consumers were more likely to turn to print and TV than their younger counterparts, although also increased their news consumption via podcasts.

This table contains 56 series, with data for years 2006 - 2011 (not all combinations necessarily have data for all years), and was last released on 2015-07-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), North American Industry Classification System (NAICS) (1 items: Motion picture and video production ...), Summary statistics (4 items: Operating revenue; Operating profit margin; Salaries; wages and benefits; Operating expenses ...).

According to the most recent data, U.S. viewers aged 15 years and older spent on average *** hours and ** minutes watching TV per day in 2024. Adults aged 75 and above spent the most time watching television at over **** hours, whilst 20 to 24-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.

Dataset

This dataset was created by Jinjoo Park

Contents

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of post-production and other motion picture and video industries (NAICS 512190), annual, for five years of data.

a. P values were generated from one-way ANOVA.b. There were no significant differences in TV viewing time between ex-smokers and non-smokers, or between ex-smokers and current smokers. The ex-smokers and non-smokers were categorized to “not currently smoking”.c. During the last 7 days, did you have at least 10 minutes of vigorous physical activities?d. During the last 7 days, did you have at least 10 minutes of moderate physical activities?post hoc comparisons were used, all group differences are significant (P<0.01).

According to a survey conducted in mid-2023, ** percent of American adults preferred subtitles on while watching TV in a language they know. Hispanic Americans and ** to-29-year-olds showed a higher tendency to use subtitles than other demographic groups, with over half of respondents having subtitles on when watching TV in a known language.

The US Smart TV Market Report is Segmented by Screen Size (Up To 45", 45-54", 55-64", 65-74", 75" & Above), Resolution Type (HDTV, Full HD, 4K UHD, 8K UHD), Panel Technology (LCD/LED, QLED, OLED, Mini-LED), Price Band (less Than USD 500, USD 500-999, and More), Operating System (Roku OS, Google/Android TV, and More), and Geography. The Market Forecasts are Provided in Terms of Volume (Units).

Tuvalu TV: Population: Growth data was reported at 0.852 % in 2017. This records a decrease from the previous number of 0.869 % for 2016. Tuvalu TV: Population: Growth data is updated yearly, averaging 0.972 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.305 % in 1963 and a record low of 0.227 % in 1997. Tuvalu TV: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tuvalu – Table TV.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Comprehensive YouTube channel statistics for VANHELSINX TV, featuring 116,000 subscribers and 21,943,680 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in ID. Track 283 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Each spreadsheet in the Excel file corresponds to one of the tested episodes and contains minute-by-minute values Twitter volume (raw), TV viewership (raw), and EEG metrics (pre-processed) associated with Attention, Motivation, and Memory, as well as the composite EEG metric (the average of the other three metrics). Ad breaks and missing values are indicated in the Notes field on each spreadsheet. (XLSX)

Tuvalu TV: Population: Total data was reported at 11,192.000 Person in 2017. This records an increase from the previous number of 11,097.000 Person for 2016. Tuvalu TV: Population: Total data is updated yearly, averaging 8,915.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 11,192.000 Person in 2017 and a record low of 6,104.000 Person in 1960. Tuvalu TV: Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tuvalu – Table TV.World Bank.WDI: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

This statistic illustrates the share of Americans who watched reality tv shows online or on TV. As of **************, ** percent of ******* year old consumers do so in the U.S. This is according to exclusive results from the Consumer Insights Global survey which shows that ** percent of ******* year old customers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

See "01_ASDN_readme.txt" (under "Download Data" tab) for data author and contact information. Field data on shorebird ecology and environmental conditions were collected from 1993-2014 at 16 field sites in Alaska, Canada, and Russia. Data were not collected in every year at all sites. Studies of the population ecology of these birds included nest-monitoring to determine timing of reproduction and reproductive success; live capture of birds to collect blood samples, feathers, and fecal samples for investigations of population structure and pathogens; banding of birds to determine annual survival rates; resighting of color-banded birds to determine space use and site fidelity; and use of light-sensitive geolocators to investigate migratory movements. Data on climatic conditions, prey abundance, and predators were also collected. Environmental data included weather stations that recorded daily climatic conditions, surveys of seasonal snowmelt, weekly sampling of terrestrial and aquatic invertebrates that are prey of shorebirds, live trapping of small mammals (alternate prey for shorebird predators), and daily counts of potential predators (jaegers, falcons, foxes). Detailed field methods for each year are available in the ASDN_protocol_201X.pdf files. All research was conducted under permits from relevant federal, state and university authorities.

Potential users of these data should first contact the relevant data author(s), listed below. This will enable coordination in terms of updates/corrections to the data and ongoing analyses. Key analyses of the data are in progress and will be included in the theses and dissertations of graduate students who collected these field data.

Please acknowledge this dataset and the authors in any analysis, publication, presentation, or other output that uses these data. If you use the full dataset, we suggest you cite it as:
Lanctot, RB, SC Brown, and BK Sandercock. 2017. Arctic Shorebird Demographics Network. NSF Arctic Data Center. doi: INSERT HERE. If you use data from only one or a few sites, we suggest you cite data for each site as per this example:
Lanctot, RB and ST Saalfeld. 2017. Barrow, 2014. Arctic Shorebird Demographics Network. NSF Arctic Data Center. doi: INSERT HERE. Note that each updated version of the dataset has its own unique DOI.

Disclaimers: The dataset is distributed “as is” and with absolutely no warranty. The data providers have invested considerable effort to ensure that the data are of highest quality, but it is possible that undetected errors remain. Data have been processed with several steps for quality assurance, but the data providers accept no liability or guarantee that the data are up-to-date, correct, or complete. Access to data is provided on the understanding that the data providers are not responsible for any damages from inaccuracies in the data.