U.S. Mortality Trends, Long-Term and 2020, and a Video Explainer

On the bigger picture

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Yesterday, I had a Twitter conversation with Dale Hall, Managing Director of Research at the Society of Actuaries, and Magali Barbieri, Associate Director of the Human Mortality Database, under the hashtag #SOATalksMortality.

There was a total of 12 questions that we addressed. The list of questions are below, with a link to each Twitter thread:

  1. In the early 1980s, the U.S. reached 2 million deaths. Tell us about the shifts & changes that have emerged from this number to approach 3 million deaths in 2020.

  2. How did the U.S. mortality rate change between the 1980s through 2000s?

  3. People are living longer, so why an increase in mortality over the past few decades?

  4. Why have we seen mitigated improvement in mortality, such as in 2014?

  5. What are the key factors in 2020 that contributed to the nearly 3 million deaths in the U.S.? How much is 2020 an anomaly?

  6. COVID-19 deaths contributed to this increase in mortality for 2020. Can you tell us about this impact?

  7. What other issues contributed to mortality in 2020, such as opioid addiction and neurological diseases?

  8. How does the U.S. compare to other high-income, developed countries with mortality?

  9. @HMDatabase can you tell us about your recent findings on mortality & mortality improvement?

  10. What long-term mortality trends are you seeing?

  11. In terms of socioeconomics, what type of differences are you seeing with mortality?

  12. Looking to next year & beyond, what considerations do you have for mortality & mortality improvement?

Highlights from the Conversation: Long-Term Trends

Some items from the SOA & HMD conversation which you might find interesting:

Twitter avatar for @RDaleHallR. Dale Hall @RDaleHall
@SOActuaries A11 #SOATalksMortality A visual of the change in diabetes mortality over time in the US population with comparisons for low and high income groups. From @SOActuaries research summary 1999-2018
Image

December 8th 2020

Twitter avatar for @HMDatabaseHuman Mortality Database @HMDatabase
@SOActuaries A11. #SOATalksMortality. The difference in length of life between the 10% Americans in the most socioeconomically under-priviledged counties and the 10% in the most affluent counties has increased since 1980 to reach 7.3 years for men and 5.9 for women in 2018.
Image

December 8th 2020

Lots more than that, of course — check out the 12 questions above and follow!

Feel free to tweet me @meepbobeep or email me: marypat.campbell@gmail.com if you have any follow-up questions.

Recent Mortality Research

The Society of Actuaries has a long tradition of mortality and longevity research (as well as other areas relating to actuarial work).

Here is the page on the most recent U.S. mortality experience: US Population Mortality Observations - Updated with 2018 Experience

You might find this opioid death trend interesting:

Interesting that it doesn’t seem to differ much by county income group. That has been my own experience in the fairly high-income/high-wealth Westchester County, in which people from fairly wealthy families have been dying from drug overdoses.

Magali Barbieri, who was a participant in the #SOATalksMortality twitter chat, authored a report with the SOA: Mortality by Socioeconomic Category in the United States - it comes with a spreadsheet you can manipulate yourself to see mortality patterns. Hmmm, I think that will be a future video.

COVID Tile Grid Map Explainer

In my last post, I made an animated gif:

Here is an explainer on how to use the underlying spreadsheet:

Things to Come?

Mortality issues are going to be persisting, even after vaccines are widespread.

As a result of the conversation yesterday, I learned about the Human Mortality Database’s Short-term mortality fluctuations shiny app. I’ve been trying it out, and it’s got multiple countries in it. I may be looking at that, as well as the U.S. demographic mortality differences files, in future blog posts and video explainers.

As for now: yes, we’re in the third wave of COVID cases and deaths, and it’s not just the U.S. I think this is really very weather-driven at this point: basically, when people are inside a lot (whether it’s too hot or too cold outside), in dry, climate-controlled rooms… that seems to be where COVID is spread.

Also, the flu season so far has been very quiet. That one should be interesting to watch as well. (No, I don’t think it’s because flu cases are being classified as COVID.)

Lots more material to be coming over the next several months!

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