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by cool_dude85 2039 days ago
Conceptually, age adjustment is something like population adjustment with consideration for age or age bins. As a simple example, suppose you find that the death rate for people 0-64 is X% and 65+ is Y% in 2019.

These rates change in 2020, but the proportion of the population in these age groups changes, too. So you set a baseline proportion (maybe equal to 2019), compute the per-age-group death rates in 2020, and rescale the total death rate so that the age proportions are the same as the 2019 baseline.

The ultimate goal is to correct for the effects of changing age demographics in computing the death rate. You'd use it if want to look at changes that are corrected for, for example, the population as a whole aging.