previous most viewed #census and #demography post from a #CensusSDC member or affiliate:
March: KY’s @UofLKSDC
Feb: @TexasDemography
Jan: NY’s @PADcornell
Dec: @OEOAZGOV @AZcommerce
Nov: @kemgardnerinst @UtahSDC
Oct: MN’s @minnpop @ipums
Sept: ‪@UNCpopcenter
Aug: @TexasDemography

RE: https://fosstodon.org/@haraldkliems/116296609719459825

I figured I should put these graphs into a blog post, with the #RStats code and a bit of text around it. haraldkliems.netlify.app/posts/2026-03-26-some-wi...

#blogging #demography #Wisconsin

Line chart titled "Population estimates for Wisconsin counties. Only counties over 150,000 population included. Each line represents a county. Year (2020-2025) on the x axis, population on the y axis.

Looking at the largest counties by populationn in Wisconsin, Milwaukee county population declined, Dane, Waukesha, Racine went up modestly, and the other counties appear relatively stable.

#Wisconsin #demography

Line chart titled "Census Bureau population estimates for Dane County." On the x axis is the year (2020 to 2025), on the y axis is the population. Except between 2020 and 2021, population grew between 4000 and 9000 people each year. Population in 2025 is 590375.

The latest US Census Bureau 2025 county-level population estimates are out. Some quick charts: In Wisconsin, Dane County continues its relatively steady growth, adding about 4000 people compared to the previous year […]

[Original post on fosstodon.org]

From ‘Two is Enough’ to ‘Please Have One’: How South Korea’s Fertility Crisis Was Decades in the Making · Slicing / Dicing South Korea’s fertility rate has plummeted from over 4 to below 1 in 50 years. The government helped drive the decline—now it’s desperate to undo it.

South Korea’s fertility crisis didn’t begin when births fell below 1.

The state spent decades teaching families to have fewer children, then couldn’t easily reverse course after housing, education and work had already changed the math.

#DataViz #Demography #SouthKorea

#demography #fertility

📢We updated #HFD fertility data series for 8 countries!

✔️Through 2023: France, Netherlands, and Poland
✔️Through 2024: Norway, Portugal, Switzerland, Taiwan, and USA
👉 humanfertility.org

📢Next @ESHD_EU Webminar!

European Society of Historical #Demography TODAY at 3 pm (CET)

Fabio Gatti (University of Bern and Bocconi University)

Religion and Post-Slavery: Church Competition in Colonial #Jamaica, 1828–1920.

All previous webinars here👉https://www.eshd.eu/eshd-webinar-series/

A webpage showing a newsletter promotion. On the left is a large image of a park scene in winter with many people walking along a wide path lined with trees. A white banner across the image reads ‘Changing Populations.’ To the right of the image is a subscription form with fields for name, discipline, profession, and organisation, alongside the heading ‘Subscribe’ and a brief description about signing up for the newsletter.

📨 If you’ve enjoyed this issue of #ChangingPopulations, don’t forget to subscribe to be the first to receive all things #population change and #demography in future newsletters -a new one will be published in the summer ⬇️

▶️ www.cpc.ac.uk/news/newslet... @bspsuk.bsky.social @populationeu.bsky.social

This is an excellent explanation of China’s bizarre short-sighted one child policy ….

Credit @mattbevan.bsky.social

#Demography
#FallingBirtRates

Applying machine learning to identify unrecognized COVID-19 deaths recorded as other causes of death in the United States A machine learning approach suggests that COVID-19 deaths were undercounted unevenly across sociodemographic groups in 2020–2021.

In a new study out in Science Advances, we estimated that 19% more COVID-19 deaths than those officially reported occurred in the United States between March 2020 and December 2021.
www.science.org/doi/10.1126/...
#demography #epidemiology #COVID-19

What Is "Replacement Fertility" Anyway? The fine line between population bomb and population extinction

Another #demography explainer of a commonly misunderstood metric. A fertility rate “below 2.1” is not a mathematical tipping point to extinction.

jenndowd.substack.com/p/what-is-re...

Does adolescence really last until age 32? Those “turning points” in brain aging aren’t quite what you think

4/ Age differences ≠ aging.
jenndowd.substack.com/p/does-adole... #demography

Show Me The Data! Highlights from One Year of Data for Health From immune amnesia to Ozempic to population collapse...thank you for being game for all of it.

1/ Hi Blue Sky friends- it's been one year since I starting writing Data for Health on Substack!

It's been a wonderful & humbling ride so far. If you haven't subscribed already, thanks for considering.

A "mixtape" of some highlights so far:

substack.com/home/post/p-... #demography #episky

Formal childcare and the next child in ten European countries - N-IUSSP Working parents with at least one child who use formal childcare services are not always more likely to have further children. As Jonas Wood shows, the European evidence is mixed, ... Read more

N-IUSSP: Formal childcare and the next child in ten European countries

www.niussp.org/family-and-h...

#demography
#populationstudies

Published: "Linking mental health disorders to childlessness: The roles of disorder type and partnership" by @kailaheimosanna.bsky.social, @jessicanisen.bsky.social, @niinametsasimola.bsky.social, P. Martikainen & M. Myrskylä (doi.org/10.20377/jfr...). #openaccess #openscience #sociology #demography

I have blogged at more length than usual on Pacific #demography issues, tying together with narrative the charts produced in six #rstats posts starting late last year. The theme is the obvious that people movement is critically important in the Pacific. freerangestats.info/blog/2026/03...

Franklin predicted America's population would explode. He was wrong about the birthrates. Wrong about infant mortality. Wrong about hard work guaranteeing success. But he told a story so good we believed it for 250 years. The myth outlived the math. #BenjaminFranklin #Demography #AmericanMyth

Here the infant death rates are compared. Native Americans bounce around a 50% higher death rater until COVID hits when the Native American death rate ends up being almost twice as high as the non-Hispanic whites. Can you think of any thing more painful than watching your baby die? Here is the raw data from wonder.cdc.gov Year NH White N Amer 1999 593.1 874.5 2000 596.5 755.7 2001 574.4 833 2002 597.3 786.5 2003 587.1 758.8 2004 579.1 858.5 2005 591.1 765.6 2006 588.8 825.8 2007 588 835.9 2008 573.3 812 2009 550.7 801.3 2010 529.3 720.6 2011 521.8 737.7 2012 514.8 784.4 2013 511.5 682.2 2014 501.6 773.7 2015 494.6 732.6 2016 485.9 775 2017 458.5 723.8 2018 467.6 726.4 2019 444.6 727.1 2020 437.7 696.2 2021 465.4 722.6 2022 472.8 833.5 2023 451.1 852.4 2024 465.6 890.5

Here is the same graph for ages 0 through 19. The relative position of Native Americans is consistently higher from 2003 through 2014 the gap gets smaller and from then it consistently increases until COVID immunization is available. The Native American rate is more than twice as high as others in 2018 and peaks at 2.67 times as high in 2022. The Indian Health Service budget is $4,078 per patient compared to $13,185 for the others. Wait until you see the last graph where Native Americans join the program for the elderly Medicaid and the capitalist parasitic clone, Medicare. Here is the two death rates by year: NHW 1-19 NA 1-19 32.7 50.3 32 51.8 31.9 56.6 31.9 55.8 31.2 58.4 31.3 54.1 30.4 55.2 29.4 54 29.3 51.1 27.7 50.2 25.5 52.1 24.9 50.5 25 47.6 23.9 44.5 23.5 41.9 23.1 41.7 24.2 45.3 24.9 46.2 24.6 49.1 24.3 49.1 23.1 54 24.6 55.1 25.7 57.5 26.2 70 25.1 58.7 23.6 54.4

Here we have the area where the health care for non-Native Americans is as purely capitalist as we get. Private health insurance. Native Americans are consistently higher and when COVID hits the Native American death rate is 85% higher. The fact that the middle aged whites death rate is increasing makes the percent higher look lower. Here is the data, obtained through wonder.cdc.gov Year NHW 20-64 NA cdr 1999 322.9 373.5 2000 328 363.2 2001 334 384.2 2002 340.4 399.3 2003 345.6 422.8 2004 343.9 414.1 2005 351.6 435.5 2006 354.6 429.4 2007 354.9 430.9 2008 360.4 443.2 2009 362.2 452.1 2010 361.6 457.1 2011 369.3 459.4 2012 369.1 470 2013 373.4 477.5 2014 380.5 500.4 2015 387.8 521.2 2016 398.2 533.4 2017 401.8 545 2018 401.6 567.7 2019 399.6 570.8 2020 449.9 803.3 2021 503.1 936.5 2022 450.6 799.9 2023 411.4 699.5 2024 384.5 642.5

This graph for the age 65+ is closest to what is happening in the rest of the economically developed part of the world. The first thing it shows is that the socialist Medicare with the capitalist clone, Medicaid, does a much better job. But, why would the Native American death rate be so much lower than the Non-Hispanic whites? In general I think this is not access to better health care, they have moved into the same system the whites have at age 65, but the survival of the fittest effect makes this difference. These Native Americans survived the death rates shown in the three earlier graphs. Here is the data, still available from wonder.cdc.gov. Year NHW Native Americans 1999 5257.7 4204.7 2000 5250.5 3901 2001 5215.5 3922.7 2002 5238.7 3949.3 2003 5181.2 3971 2004 5003.7 3828.8 2005 5046.6 3900.6 2006 4909.7 3774 2007 4823.5 3743.4 2008 4835.6 3675.5 2009 4636.1 3489.1 2010 4660.1 3639 2011 4642.6 3510.2 2012 4508 3422.4 2013 4465.5 3381.3 2014 4367.7 3362.7 2015 4390.4 3359 2016 4277.9 3284.9 2017 4285.5 3247.9 2018 4233.1 3156.3 2019 4147.8 3060.9 2020 4635.6 3947.1 2021 4664.2 3889 2022 4437.8 3316.1 2023 4160.6 2924.2

Our Native American, aka Indian, death rate is the highest in the United States. Here are Native American and non-Hispanic white death rates for four age groups from 1999 through 2024. 🧪💡☠️ #Indian #Sociology #Demography #Science

The call for papers is approaching! Submit to the @vypr.bsky.social by May 15! @demographyvienna.bsky.social #demography

The deadline for our call for papers for the next Special Issue is approaching! Submit until 15 May 2026! @demographyvienna.bsky.social #demography

What a perfect description of age, period, and cohort effects. #demography

In the category of least surprising correlations in the world

"Regression models show general pronatalism is predicted by religious commitment and insecure masculinity..." 🤔

If we repeat this enough, might the men who seemingly can't talk enough about low birth rates let up? #demography

Niños juegan en la costa de Mogadiscio, Somalia, el pasado noviembre durante uno de los episodios de hambruna más intensos que ha vivido el país. Scott Peterson (Getty Images)

[8/8] L’Afrique concentre 58% des décès mondiaux avant 5 ans, et trois pays dépassent encore 100 morts pour 1.000 naissances. Pourtant des progrès existent. La Sierra Leone a réduit cette mortalité de 65% depuis 1990, le Burkina Faso de 26% depuis 2015 malgré de fortes crises. #geography #demography

How long do Sunda clouded #leopards live? 🐆📷 By photo-tracking this elusive carnivore over many years, we gained new insights into #survival and #demography, and documented the oldest known individual to date: a 6.51-year-old female. @kathikasper.bsky.social. Read here: doi.org/10.1111/btp....

[8/8] Cette situation révèle une crise démographique complexe. L’amélioration de la natalité ne compense pas une mortalité élevée. Elle souligne l’importance des politiques de santé publique dans les dynamiques de peuplement et les équilibres territoriaux. #geography #demography #Bulgaria

En Bulgarie, la démographie plombée par un fort taux de mortalité Le pays connaît une embellie du nombre des naissances, par rapport aux autres pays de l’Union européenne. Mais il pâtit d’un fort taux de mortalité, tiré vers l...

[1/8] Courrier international synthétise des analyses démographiques d’Eurostat et de Petia Gueorguieva (Institut de l’économie de marché, Sofia). L’article décrit le "paradoxe bulgare". une natalité en hausse mais une population en déclin rapide. #geography #demography #Bulgaria

📢 The new issue (March 2026) of POPNET, the newsletter of the Wittgenstein Centre for Demography and Global Human Capital, highlights recent news, publications, events, and other activities of the population network.

🔗 Read now: mailchi.mp/updates.iias...
#demography

ICB
Sensory-Skeletal Integration Underlies Diverse Bone Fusion Patterns in a Complex #Demography of #Cavefish

Alyssa R Hamm et al
doi.org/10.1093/icb/...

This study showcases the integrated nature of sensory-skeletal development, a poorly understood phenomenon.

#scientists #fish #Biologists

Not just later: why marriage is disappearing in South Korea - N-IUSSP First marriage in South Korea has declined sharply over the past three decades. This is not simply a story of later marriage. Even after accounting for delayed timing, Sam Hyun ... Read more

N-IUSSP: Not just later: why marriage is disappearing in South Korea

www.niussp.org/family-and-h...

#demography
#populationstudies

Despite later childbearing and the spread of IVF, the share of women aged 40–44 giving birth in Hungary has remained essentially unchanged over the past decade.
#demography #population #fertility #Hungary