In NYC, the death rates per 1000 as of yesterday :
45-64 : 2.02
65-74 : 6.6
75+ : 16.6
New York: COVID-19 death rate by age group | Statista
A friend of mine in NYC was 44, ultra-marathon runner, great heath. He died in 10 days after symptoms started.
Stop. Saying. This. Is. An. Annoying. Flu.
I'm sorry for the loss of your friend.
Not trolling you, the remainder of the post is directed to all, but I'll use the term "you" referring to the data / post above.
That same site you cite (pun intended) has the age-binned mortality rates for the 2017-18 flu season, but for the total US, not just NYC.
Influenza mortality rate by age group U.S. 2017-2018 | Statista
Death rate per 100,000 from the site:
0-4yo 0.6
5-17yo 1
18-49 2
50-64 10.6
65+ 100.1
From other data on that site, the 2018 US death rate from influenza and pneumonia is given as 14.9 per 100,000.
Also, the age-binned influenza data has this asterisk/caveat:
Supplementary notes
* The CDC use a mathematical model to estimate the numbers of influenza illnesses, medical visits, hospitalizations and deaths to inform policy and communications related to influenza prevention and control. Current preliminary estimates for 2017-2018 are based on data from 2010 to 2017.
Taking the above as static, since the data - whether measured or modeled - is in the past, we then look to the present.
Reproducing your COVID-19 data, from that site, per 100,000 in NYC:
0-17 0.75
18-44 21.4
45-64 202.28
65-74 662.12
75+ 1662.78
NYC citywide total 221.68
The total population death rate for the NYS (not NYC) is 166 per 100,000. That value is from a separate table, showing death rate for the entire USA, DC, and Puerto Rico, by state per 100,000. At the state level, NYS at 166 trails only New Jersey at 172 per 100k. The vast remainder of the country is lower by significant factors.
From that same site, the USA is listed as 133,972 COVID-19 deaths to date, approximately 25% of the reported world total. Using an estimated USA population of 330 million, that's a mortality rate of 0.04% (0.0004), or a an average USA rate of ~40 per 100,000.
Even if there is a bias (high) in assignment of death to COVID-19 for the 2020 data set as being causal rather than contributory (as has been oft-reported, whether motivated by political or monetary reimbursement reasons, etc., in particular in certain states), we need to also remember the COVID-19 data is dynamic, and will rise. However, we should also grant that an already low mortality rate in many states has a nearly impossible likelihood of ballooning to the mortality rates of NY and NJ, given what is known now re: protective and treatment measures, and geographic differences in population density.
And we also have:
According to the CDC's best estimates now for Infection Fatality Rate your chance of dying from this if you are not in a nursing home is .1, or 1 in 1000. That is flu-like mortality for most. The excess mortality numbers from Europe indicate that Covid 19 is about 20% higher than the severe flu season of 2017-2018.
Given all the above, both points are valid, and supported by the data:
1. If you're elderly (especially in a nursing home), and a late adopter (the NYC cases) and/or refuser of safe practices, and live in a high-density area (the NYC-NJ and surrounding states data), your mortality risk is a multiple of the general population risk and/or typical flu season risk.
2. If you're not elderly, your mortality risk is likely not dramatically different from a bad flu season,
in particular with safe practices and living in a low-density area (my addition / emphasis).
IMO, These two scenarios are like the opposite poles of the same bar magnet. Too many individuals and/or biased media sources only see the world as having one polarity - their view - which can't connect to the other end of the magnet, and must always be repelled.