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Super skewed by the cohort they cobbled together. Look at the COVIDNet data for the decile age bands of hospitalization at peak waves: [0]

>18-29: 5/100000 = 0.05%

>30-39: 10/100000 = 0.1%

>40-49: 14/100000 = 0.14%

I would ask why our agencies keep doing things like this and burning trust, but it's rhetorical.

[0] https://gis.cdc.gov/grasp/COVIDNet/COVID19_3.html

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You're comparing completely different statistics. The 3% is the infection hospitalization rate; in other words, the odds of being hospitalized once infected. The rates from your source are the total number of people per 100k who are hospitalized for covid in a given week; it does not mean they only have a .05% chance of being hospitalized once infected, it means .05% of the entire age cohort are hospitalized from covid that week.

edit2: actually, I see the denominator there is total population not cases but I still don't follow.

There have been 19,850,744 cases in 18-49 year olds [0] and 63,207 hospitalizations [1] which suggests at 0.3% infection hospitalization rate..

[0] https://covid.cdc.gov/covid-data-tracker/#demographics

[1] https://gis.cdc.gov/grasp/COVIDNet/COVID19_5.html#virusTypeD...

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