Daten zu Sterblichkeitsraten und Lügenerwartung in den USA. Daten von HumanMortalityDatabase1933-2023. Die ursprünglichen Sterblichkeitsdaten sind in 1-Jahres-Altersklassen unterteilt. Laut der Human Mortality Database wurden Daten aus sehr frühen Jahren und höheren Lebensaltern leicht geglättet, um den geringen Stichprobengrößen Rechnung zu tragen. Die Lebenserwartung wird aus Sterbewahrscheinlichkeiten berechnet, die wiederum aus den rohen Sterblichkeitszahlen berechnet werden. Die Sterblichkeitsrate ist definiert als männliche Sterblichkeitsrate/weibliche Sterblichkeitsrate. Der Lebenserwartungsunterschied ist einfach der Unterschied in der Lebenserwartung von Frauen und Männern in Jahren. Wenn Sie an weiteren Grafiken interessiert sind, poste ich diese auf Instagram.
Von graphsarecool
11 Kommentare
Source: [mortality.org](http://mortality.org), Tools: Python with NumPy and matplotlib. Color maps are also from matplotlib.
How do you end up with what appears to be excess male mortality through the entire lifespan?
The spike in female – male life expectancy around COVID was the most surprising thing in here to me. Very cool graphs!
what happened to stop killing boys in the early 90s?
That blue diagonal of excess male mortality of baby boomers (looks like birth years in the 40s-50s) is very interesting that it keeps extending into their old ages
These are beautiful graphs, they pack a lot of data in, and they’re intriguing. Remarkable work. Thank you!
I was surprised that I couldn’t identify any impacts from WWII, the Vietnam War, or other conflicts. Do the graphs reflect the deaths of Americans, or only those deaths that occurred in the US?
I like how you can see one very old person who died in 1954
I think instead of a green-yellow-red colormap you should use one that uses more colors. That will make it easier to see more subtle details. For example, this one: [https://www.ncl.ucar.edu/Document/Graphics/ColorTables/MPL_gist_ncar.shtml](https://www.ncl.ucar.edu/Document/Graphics/ColorTables/MPL_gist_ncar.shtml)
interesting how as soon as men hit 18, they start dying faster. They are finally allowed to do stupid things and they do stupid things.
i find the excess male mortality with a really clear cut after 18 during WW2 interesting.
what i’m wondering is, what happened in 1950-1960 that would cause the people that were ~18 at that time to seemingly have a higher mortality rate till today?