Very neat new article on birth and death trends in Alaska, by Eric Sandberg:
https://live.laborstats.alaska.gov/trends-magazine/2026/March/a-quiet-driver-of-population-change
#Alaska #Births #Deaths #Demography #PopMastodon
'A quiet driver of population change: Birth-death balance that powered growth is narrowing' - Alaska Economic Trends, March 2026
A Quiet Driver of Population Change

'Arriaga Meets Kitagawa. Life Expectancy Decomposition With Population Subgroups' - Geographic Analysis, February 2026 (via @timriffe1.bsky.social on Bluesky)
https://onlinelibrary.wiley.com/doi/10.1111/gean.70033
#Demography #PopMastodon
Seniors Are a Growing Slice of Alaska

'Inferring fine-grained migration patterns across the United States' - Nature Communications, December 2025
https://doi.org/10.1038/s41467-025-68019-2
#Demography #PopMastodon
'The Languages Spoken in Alaska' and 'Nonresident Workers on the Rise' - Alaska Economic Trends, February 2026
https://live.laborstats.alaska.gov/trends-magazine/2026/February/the-languages-spoken-in-alaska
#Alaska #Population #PopMastodon
The Languages Spoken in Alaska

'Sacramento is looking for over 600 volunteers to help survey the region's unhoused at the end of January' - Capital Public Radio, January 2026
https://www.capradio.org/articles/2026/01/06/sacramento-is-looking-for-over-600-volunteers-to-help-survey-the-regions-unhoused-at-the-end-of-january/
#California #Sacramento #Demography #PopMastodon
‘Zillow removed climate risk scores, because property-level modeling is not foolproof’ - Flowing Data, December 2025
https://flowingdata.com/2025/12/09/zillow-removed-climate-risk-scores-because-property-level-modeling-is-not-foolproof/
#Demography #PopMastodon
Zillow removed climate risk scores, because property-level modeling is not foolproof

When Zillow removed climate risk scores from property listings, many assumed the company acted out of political pressure. The main issue though was that the risk models behind the scores were not r…

FlowingData
'New Insights on Historic Causes of Maternal Deaths' - University of Michigan Population Studies Center, December 2025
https://psc.isr.umich.edu/news/new-insights-on-historic-causes-of-maternal-deaths/
via @um-psc.bsky.social on Bluesky.
#Demography #PopMastodon
'2019 Individual Life Insurance Mortality Experience Report' - Research Insights Podcast (SOA), November 2025
https://researchinsights.libsyn.com/2019-individual-life-insurance-mortality-experience-report
#Demography #PopMastodon
Research Insights, a Society of Actuaries Podcast: 2019 Individual Life Insurance Mortality Experience Report

In this episode of the Society of Actuaries Research Insights Podcast, Dale Hall, Managing Director of Research at the Society of Actuaries, explores the 2019 Individual Life Insurance Mortality Experience Report with two expert guests: Jim Toole, FSA, CERA, MAAA, Chief Luminary at Aurora Actuarial, and Philip Adams, FSA, CERA, MAAA, Senior Experience Studies Actuary at the SOA Research Institute. They discuss the significant shifts in mortality trends from 2012 through 2019, including the dominance of level premium term insurance, the introduction of expanded preferred underwriting classes, and the increase in older age issue ages. The conversation also highlights the transition of data collection from MIB to the NAIC, and how predictive analytics like boosted decision trees and vine copulas were leveraged for data validation and insights. Actuaries will find insights into how these findings can support pricing, reserving, and risk management efforts, along with resources such as Tableau dashboards and downloadable text files that make data analysis more accessible. With post-2019 data expected soon, this episode offers timely reflections on the evolving landscape of individual life insurance mortality. Access the report and related materials by visiting the SOA website at: 

From @timriffe1.bsky.social @timriffe1 on Bluesky:
"Over a dozen ways to decompose life expectancy, all in one (we hope) friendly interface. Please have a look at the LEdecomp R package https://cran.r-project.org/web/packages/LEdecomp/index.html See the function LEdecomp() for access to all of them. If we left something out, please shout! #rstats #demography #mortality "
https://bsky.app/profile/timriffe1.bsky.social/post/3m5gikepiys2n
#Demography #PopMastodon
LEdecomp: Decompose Life Expectancy by Age (and Cause)

A set of all-cause and cause-specific life expectancy sensitivity and decomposition methods, including Arriaga (1984) <<a href="https://doi.org/10.2307%2F2061029" target="_top">doi:10.2307/2061029</a>>, others documented by Ponnapalli (2005) <<a href="https://doi.org/10.4054%2FDemRes.2005.12.7" target="_top">doi:10.4054/DemRes.2005.12.7</a>>, lifetable, numerical, and other algorithmic approaches such as Horiuchi et al (2008) <<a href="https://doi.org/10.1353%2Fdem.0.0033" target="_top">doi:10.1353/dem.0.0033</a>>, or Andreev et al (2002) <<a href="https://doi.org/10.4054%2FDemRes.2002.7.14" target="_top">doi:10.4054/DemRes.2002.7.14</a>>.