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Actuarial Life Table

ssa.gov

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Re: Actuarial Life Table

#41

Post by kqr »

Teknoman117 wrote: post #31
morepork wrote: post #22

Based on this, by the time you're 30, around 2% of your male high school peers have passed away, but only 1% of your female ones. Puts an interesting perspective on things.

I don't keep in regular contact with people from high school these days, but from what I've heard, I wouldn't be surprised if 1 to 2% of my graduating class has already died from suicide or accidents alone.

I hadn't thought about that but yeah, of the 100-ish people I've known a bit closer in childhood and adolescence, I know two are dead now.

Both were female, though.

Re: Actuarial Life Table

#42

Post by ikr678 »

kristopolous wrote: post #15
21723 wrote: post #13

Earlier quoted context omitted.

Toxic masculinity starts in utero. I was going to reply but then decided, no, nevermind.

The internet can be extremely hostile to empirical evidence. I actually just expect to be brigaded whenever I reference things like The Lancet. People are aggressively anti-intellectual. People don't logon to learn, they're here to be tribal and do social cues

Hoping for a truly open minded forum, like some kind of nirvana

Re: Actuarial Life Table

#45

Post by aidenn0 »

spookylettuce wrote: post #4
chomp wrote: post #3

I graphed the difference in years amongst men and women using good ol' fashioned awk and free graphing software: https://imgur.com/a/3b1KrD7 It looks like at around age 18 - 30ish, the numbers start catching up, with a sharper reduction in expectancy differences happening around age 35. From the PRB: "Men are three times as likely as women to die from injuries (unintentional injuries, suicide, or homicide), and progr…

I'm very interested in this workflow of data -> awk -> graph. What graphing software did you use?

I used a data -> awk -> graph with the NYT covid numbers, which had both state and county granularity. I used gnuplot to graph.

Re: Actuarial Life Table

#46

Post by fludlight »

rrjjww wrote: post #40

Shameless self plug - I'm an Actuary, and as a way to learn React I put together a website that teaches you the basic concepts and math behind these actuarial table. https://www.lifecontingencies.com

Is there a site where one can add more data points like BMI, smoking, booze & other drugs, family history of horrible diseases, current medical conditions, etc?

Re: Actuarial Life Table

#47

Post by gaudat »

rrjjww wrote: post #40

Shameless self plug - I'm an Actuary, and as a way to learn React I put together a website that teaches you the basic concepts and math behind these actuarial table. https://www.lifecontingencies.com

Damn this looks good. Going to check it out in depth.

I know a guy back in college who majored in actuarial science but he's also doing computer science. These 2 subjects have good synergy.

Re: Actuarial Life Table

#48

Post by vharuck »

amyjess wrote: post #24

I wish I was good enough at math to use these tables to figure out what percentage of the population is within a particular age range in any given year. In particular, I'm curious to see what years the population of particular generations peaked. Edit: Actually what I'm really looking to do is to correlate certain marketing demographics with generations. For example, "in what years did Generation X comprise the major…

Why not just go to the Census Bureau for annual tables of populations by age?

Re: Actuarial Life Table

#49

Post by kqr »

npsimons wrote: post #36
treespace8 wrote: post #28

Wow, as a guy I have a 1/5 chance of not even making it to retirement. (65) 1/3 chance of not living past 75. These are not good odds.

This is why I "soft retired" early. People haven't said it to my face, but I get the definite impression many think I'm crazy for "abandoning" work. I'm through hiking the PCT this year, something I never thought I would do until much older. I'm not really a brave guy, I fear change, but you got to take your chances while you're still alive.

What does soft retire mean? I've always liked the idea of interspersing retirement years with active work, and increasing the relative frequency of retirement years as I get older.

However, I understand the job market might not always be appreciative of gaps in employment.

Re: Actuarial Life Table

#50

Post by sudosysgen »

layer8 wrote: post #30
zeroonetwothree wrote: post #26

Earlier quoted context omitted.

Hard to say in which direction the causation lies.

That’s actually a good point: People who die earlier due to genetics accumulate less wealth in their lifetime, and their children therefore inherit less. With that causality, people are poorer literally because they die earlier, rather than the other way around. ;)

Isn't it the reverse for the vast majorit that live to see retirement?
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