#demographics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #demographics, aggregated by home.social.
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Young Australians' home ownership rate at an 80-year low, report shows
By Aoife HiltonA new report shows generational inequality is pushing young Australians out of the housing market.
https://www.abc.net.au/news/2026-08-25/first-generation-in-australia-to-fall-behind/107077612
#HousingPolicy #YoungPeople #Demographics #BusinessEconomicsandFinance #PopulationGroups #AoifeHilton
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💁🏻♀️ TIL: A new paper links the 2007 #iPhone launch to declining #US birth rates, finding 4.5-8% drops among 15-19 year olds in areas with early iPhone access.
The researchers suggest #smartphones may reduce in-person socializing while increasing access to #porn and birth control #information. Skeptics note that teen birth rates were already falling since the #1990s.
#birthrate #demographics #teens #technology #research #economics #middlebury #fertility #screentime #science #nber #statistics
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India is now the world’s most populous country, but this episode of #KERAThink says falling birth rates will soon slow growth and may lead to population contraction within a couple of decades. It argues this could still limit economic progress and discusses migration as a way to offset workforce decline. #india #population #demography #demographics #aging #kerala #tamilNadu #TomSasse 🎧️ https://think.kera.org/2026/06/23/indias-population-boom-goes-bust/
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Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
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https://phys.org/news/2026-05-sea-areas-due-subsidence.html <-- shared technical article
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https://doi.org/10.1038/s41467-026-72293-z <-- shared paper
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[#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, https://doi.org/10.1038/s41561-023-01357-2, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
#GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry -
Hanging Glaciers In Himalaya Reveal Rising Avalanche Risk
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https://www.nature.com/articles/d44151-026-00072-2 <-- shared technical article
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https://doi.org/10.1038/s44304-026-00205-8 <-- shared paper
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#GIS #spatial #mapping #risk #hazard #monitoring #engineeringgeology #naturalhazard #Himalaya #Himalayas #Alaknanda #basin #Garhwal #India #ice #cryosphere #massmovement #avalanche #glacier #hangingglacier #cryosphere #remotesensing #spatialanalysis #spatiotemporal #sentinel2 #DEM #elevation #model #modeling #GlabTop2 #unstable #hanging #BadrinathMana #impact #infrastructure #damage #HEP #urbanisation #development #population #publicsafety #demographics #glacialretreat #melting #Chamoli #disaster #earlywarningsystems #Himalayan #glaciers #instability #warming #climatechange #riskassessment #riskclassification #framework #avaflow #runout #downstream #downslope #water #hydrology #planning #policy #mitigation #geomorphology #geomorphometry -
“Whoever oppresses the poor shows contempt for their Maker, but whoever is kind to the needy honors God”*…
From the piece featured below: “GDP per capita in Madagascar is about the same today as it was in 1950. As a consequence, the number of people in extreme poverty increased in line with the country’s population growth” (image source)It’s easy to feel hope in the advances that the world has made in eraditcating extreme poverty over the last several decades. But as Max Roser writes, unless the poorest economies start growing, this period of progress against the worst form of poverty is over…
In the last decades, the world has made fantastic progress against extreme poverty. In 1990, 2.3 billion people lived in extreme poverty. Since then, the number of extremely poor people has declined by 1.5 billion people.
This means on any average day in the last 35 years, about 115,000 people left extreme poverty behind.1 Leaving the very worst poverty behind doesn’t mean a life free of want, but it does mean a big change. Additional income matters most for those who have the least. It means having the chance to leave hunger behind, to gain access to clean water, to access better healthcare, and to have at least some electricity — for light at night and perhaps even to cook and heat.
Can we expect this rapid progress to continue?
Unfortunately, we cannot. Based on current trends, progress against extreme poverty will come to a halt. As we’ll see, the number of people in extreme poverty is projected to decline, from 831 million people in 2025 to 793 million people in 2030. After 2030, the number of extremely poor people is expected to increase.
To understand why the rapid progress against deep poverty will not continue into the future, we need to know why the world made progress in the past.
Extreme poverty declined in the last three decades because, back in the 1990s, the majority of the poorest people on the planet lived in countries that subsequently achieved very fast economic growth. In Indonesia and China, more than two-thirds of the population lived in extreme poverty. But these economies then grew rapidly, so that by today, the share has declined to less than 10%. Other large Asian countries — including India, Pakistan, Bangladesh, and the Philippines — also achieved strong growth, and as a consequence, the share living in extreme poverty declined rapidly. Much of the progress happened in Asia, but conditions in other regions improved too: the share living in extreme poverty also declined in Ghana, Cape Verde, Cameroon, Panama, Bolivia, Mexico, Brazil, and many other countries.
This chart shows the economic change in these countries over the past decades. As incomes increased, the share of people in extreme poverty declined.
Share of population living in extreme poverty vs. GDP per capita, 1990 to 2024 (World Bank, Eurostat, OECD, IMF)What is different today is that the majority of the world’s poorest people are stuck in economies that have been stagnating for a long time.Consider the case of Madagascar. In the long run, the country has not seen any growth at all: GDP per capita in Madagascar is about the same today as it was in 1950. As a consequence, the number of people in extreme poverty increased in line with the country’s population growth. In richer countries, it is possible to reduce poverty by reducing inequality through redistribution, but a country like Madagascar cannot reduce its share of people in extreme poverty through redistribution. This is because the mean income is lower than the poverty line; if everyone had the same income, everyone would be living in extreme poverty.
The situation is similar in other countries, as the chart below shows: in the Democratic Republic of Congo, Mozambique, Malawi, Burundi, and the Central African Republic, more than half of the population lives in extreme poverty. As their economies have stagnated, the deep poverty that most people live in has remained largely unchanged for decades.
This is why we have to expect the end of progress against extreme poverty based on current trends. If the poorest economies remain stagnant, hundreds of millions of people will continue to live in extreme poverty.
Share of population living in extreme poverty, 1992-2022 (World Bank)I’m always skeptical when people say that we are at a juncture in history where the future looks much different than the past. But when it comes to the fight against extreme poverty, I fear it is true. Today, the majority of the world’s poorest people are living in economies that have not achieved economic growth in the recent past… Based on current trends, we have to expect the end of progress against extreme poverty…
… It’s no news that we should expect an end to progress against extreme poverty. This article is an update of an article I published in 2019, in which I wrote the same: the fact that the poorest economies are not growing means that the rapid progress against extreme poverty seen in the last decades will end.
Although this prospect has been known for years, it has hardly received the attention it deserves. Progress against extreme poverty was one of humanity’s most outstanding achievements of the past decades — the end of it would be one of the very worst realities of the coming ones.
Importantly, however, these projections are not predictions; their purpose is not to describe what the world in 2030 or 2040 will certainly look like. These projections describe what we have to expect based on current trends; they tell us about our present world rather than the reality of tomorrow. Current trends don’t have to become future facts: many countries left extreme poverty behind in the past, because they had a moment at which they broke out of stagnation.
What these projections tell us, however, is that if the poorest countries do not start to grow, a very bleak future is ahead of us: a future in which extreme poverty remains the reality for hundreds of millions for many years to come…
Eminently worth reading in full– and acting on: “The end of progress against extreme poverty?” from @maxroser.bsky.social and @ourworldindata.org.
* Proverbs 14:31, NIV
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As we put our shoulders to the wheel, we might spare a thought for a man who contributed mightily to our capacity to feed humanity, Kenneth V. Thimann; he died on this date in 1997. A microbiologist, he was a pioneer in plant physiology (especially the hormones that control the development of plants). Building on the thinking of Frits Went, he identified the first plant hormone to be discovered– the first auxin, a class of growth hormones, and revealed its chemical structure– which proved very important to agriculture and its yields.
#agriculture #auxin #culture #demographics #growthHormones #history #KennethThimann #KennethVThimann #microbiology #OurWorldInData #plantPhysiology #plants #politics #poverty -
9.3% Of Earth’s Land Flagged In New Outbreak Risk Map
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https://www.earth.com/news/93-of-earths-land-flagged-in-new-outbreak-risk-map-pr25/ <-- shared technical article
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https://doi.org/10.1126/sciadv.adw6363 <-- shared paper
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#GIS #spatial #mapping #global #outbreak #risk #hazard #publichealth #publicsafety #death #AI #machinelearning #remotesensing #earthobservation #epidemic #pandemic #disease #environment #cost #highrisk #mediumrisk #zoonotic #zoonoticdisease #climate #climatechange #temperature #extremeweather #pluvial #rainfall #precipitation #water #hydrology #drought #landuse #changes #deforestation #population #demographics #livestock #biodiversity #mitigation #planning #response #monitoring
@EUCommission | @WHO -
The “Giant Chair Squad” Post
Preamble Individuals in society should be warned about the “Giant Chair Squad” post because of potential tensions that could result from viewing. While tensions resulting from opening the post up to public view may not be perfectly guaranteed, novaTopFlex worries about specific localities having access to the post. However, numerous other locales would not actually loathe the post in any way. The most significant places of interest for viewers of the “Giant Chair Squad” post are as […]https://novatopflex.wordpress.com/2025/10/01/the-giant-chair-squad-post/
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What Caused the 'Baby Boom'? What Would It Take to Have Another?
https://www.derekthompson.org/p/what-caused-the-baby-boom-what-would
#HackerNews #BabyBoom #EconomicHistory #Demographics #SocialTrends #FutureGenerations
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Groundwater Pumping Is Contributing To The Subsidence Of Major U.S. Cities
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https://www.nytimes.com/interactive/2025/05/08/climate/sinking-cities-us-causes-groundwater.html <-- shared media article
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https://doi.org/10.1038/s44284-025-00240-y <-- shared paper
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#water #groundwater #subsidence #city #cities #spatialanalysis #spatiotemporal #engineeringgeology #engineering #risk #hazard #pumping #overpumping #waterresources #USA #America #sinking #infrastructure #damage #cost #economics #repais #mitigation #sealevelrise #flood #flooding #foundations #urban #remotesensing #earthobservation #satellite #elevation #measurement #change #vertical #movement #geology #soils #model #modeling #prediction #waterresources #farming #agriculture #watersupply #industry #well #riskassessment #landuse #monitoring #management #utilities #growth #population #demographics #construction #sprawl -
Weird Maps Win Elections – [USA] Gerrymandering Explained [Map Men]
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https://youtu.be/cwBslntC3xg?si=cNufts2Aa42QL6ZY <-- shared video
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[an excellent description of gerrymandering of political districts in the USA]
“Why does the USA draw district maps with absolutely bonkers shapes? And how do squiggly districts help the wrong politicians win elections? And have we been pronouncing "Gerrymandering" wrong for 200 years?...”
#GIS #spatial #mapping #MapMen #gischat #politics #USA #political #gerrymandering #elections #districts #packing #cracking #voting #voters #democracy #selfsorting #demographics #minorities #VotingRightsAct #diversity #redistricting #AI #swingvoters #elections #MapMen -
Satellite Imagery May Provide Missing Puzzle Piece In Easter Island Saga
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https://www.cnn.com/2024/06/21/science/easter-island-what-happened-civilization-collapse-scn/index.html <-- shared media article
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https://doi.org/10.1126/sciadv.ado1459 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #drone #drones #imagery #foodsecurity #archaeology #EasterIsland #RapaNui #sustainability #resources #rockgardens #rockgardening #spatialanalysis #spatiotemporal #demographics #subsistence #satellite #infrared #SWIR #AI #machinelearning #model #modeling #agriculture #farming #infrastructure #ancientcivilisation #Pacific -
This is an interesting map to ponder, and a few surprises. North Carolina? REALLY? Would not have thought it.
#maps #demographics #USStates #states #cities #population
https://www.visualcapitalist.com/mapped-u-s-states-by-number-of-cities-over-250000-residents/
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A National-Scale Assessment Of Land Subsidence In China’s Major Cities
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https://doi.org/10.1126/science.adl4366 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #radar #satellite #insar #ifsar #monitoring #change #delta #subsidence #landsubsidence #city #cities #China #risk #hazard #flood #flooding #planning #urban #urbanplanning #construction #engineering #urbanisation #interferometry #geomorphometry #urbanlands #population #demographics #groundwater #pumping #overpumping #water #waterresources #elevation #vertical #coast #coastal #sealevelrise #SLR #climatechange #mitigation #model #modeling #spatialanalysis #3dmodeling -
Sea Level Rise Drowned A Vast Habitable Area Of North-Western Australia Driving Long-Term Cultural Change
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https://doi.org/10.1016/j.quascirev.2023.108418 <-- shared paper
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[By modelling these geographic features, the team estimates that the region could have supported a population of between 50,000 and 500,000 people.]
#GIS #spatial #mapping #sealevelrise #demographics #remotesensing #climatechange #Pleistocene #Sahu #human #occupation #dispersal #archaeology #rockart #indigeneous #aborgines #firstnation #ancientpeoples #paleogeography #drownedlandscapes #Continentalshelf #Sealevelchange #bathymetry #topobathy #SLR #sealevel #sealevelrise #NewGuinea #PapuaNewGuinea #kimberley #arnhemland #NorthernAustralia #WesternAustralia #marine #ocean #innundation #model #modeling #archipelago
#australia #Wallacea #habitation #settlement #civilisation #maritime #economics #ancienthistory #sediment #sampling #geology #holocene