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United StatesYouTube, US
YouTube Viewers, by Race/Ethnicity
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Ad Revenue
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YouTube Ad Revenues
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YouTube Video Ad Revenues
Ad Revenue, per User
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YouTube Gross Ad Revenues, per YouTube Viewer
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YouTube Net Ad Revenues, per YouTube Viewer
Connected TV Ad Revenue
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YouTube Connected TV Ad Revenues
Subscription Revenue
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YouTube OTT Subscription Revenues
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YouTube Premium Subscription Revenues
Time Spent
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Time Spent with YouTube
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Time Spent with YouTube by Viewers
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Time Spent with YouTube, by Device
Users
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YouTube Viewers
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Adult YouTube Viewers
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YouTube CTV Viewers
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YouTube TV Viewers
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YouTube Premium Subscribers
by Age
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YouTube Viewers, by Age
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YouTube Viewer Penetration, by Age
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YouTube Viewer Share, by Age
by Sex
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YouTube Viewers, by Sex
by Generation
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YouTube Viewers, by Generation
by Race/Ethnicity
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YouTube Viewers, by Race/Ethnicity
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YouTube Viewer Penetration, by Race/Ethnicity
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YouTube Viewer Share, by Race/Ethnicity
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US YouTube Viewers, by Race/Ethnicity

Timeframe20232024202520262027
Millions
– AsianMaximum of two rows can be charted.
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– BlackMaximum of two rows can be charted.
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– Hispanic*Maximum of two rows can be charted.
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– WhiteMaximum of two rows can be charted.
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– Other**Maximum of two rows can be charted.
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– TotalMaximum of two rows can be charted.
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% Change
– AsianMaximum of two rows can be charted.
Deselect another chart icon to add this one.
– BlackMaximum of two rows can be charted.
Deselect another chart icon to add this one.
– Hispanic*Maximum of two rows can be charted.
Deselect another chart icon to add this one.
– WhiteMaximum of two rows can be charted.
Deselect another chart icon to add this one.
– Other**Maximum of two rows can be charted.
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– TotalMaximum of two rows can be charted.
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Source: eMarketer

Note: individuals who watch YouTube via app or website at least once per month; *can be of any race; **includes Native Americans, Alaska Natives, Hawaiian and Pacific Islanders, and bi- and multiracial individuals

Methodology: Estimates are based on the analysis of survey and web traffic data from research firms and regulatory agencies, sales projections, historical trends, company-specific data, and demographic and socioeconomic factors.

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