#demographics — Public Fediverse posts

Trump administration proposes excluding certain immigrants from US census | US Midterm Elections 2026 News

The administration of President Donald Trump is attempting a major overhaul of the United States census, submitting a…
#NewsBeep #News #Headlines #Civilrights #demographics #DonaldTrump #Government #Migration #Politics #UnitedStates #Us #US&Canada #USMidtermElections2026 #USA
https://www.newsbeep.com/725927/

The least free place on earth: Occupied Ukraine   – POLITICO

From passportization to deportation  Starting from 2014, Russia has occupied about 20 percent of Ukraine in the country’s…
#Ukraine #UA #Europe #Europa #EU #News #&Governance #Citizens'rights #demographics #education #humanrights #Kremlin #lawenforcement #Rights #Russia #surveillance #warinUkraine
https://www.europesays.com/ukraine/39763/

Western Balkans Are Ageing Before They Could Get Rich

Ageing demographics are now a binding constraint on growth, public finance and EU convergence for the region. Demographic…
#Economy #accession #ageing #centraleurope #demographics #EconomyofEU #EconomyoftheEU #enlargement #EUeconomy #Europe #Monténégro #resilience #WesternBalkans
https://www.europesays.com/3241780/

Rising Rates Push Young Japanese to Buy Homes

Soaring real estate prices and rising interest rates are pushing more young families to rush into buying homes.…
#EuropeSays #Japan #JP #demographics #Economy #housingmarket #mortgages #Nihon #personalfinance #realestate #tags:japaneconomy #Tokyo
https://www.europesays.com/japan/88829/

Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024
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https://doi.org/10.31223/X5MV3R <-- shared paper
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https://landscan.ornl.gov/ <-- shared webmap and data link (via download -> LandScan Mosaic Time Series)
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https://gee-community-catalog.org/projects/landcast/ <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’
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H/T @andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory
“LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”
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“LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”
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“Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”
#demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling
@OAK Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

Honolulu Civil Beat: Data For Dummies: Hawaiʻi Facts For Those Of Us Who Can’t Read Spreadsheets. “Now that another primary election has come and gone, I’ve been wondering: Is Hawaiʻi still the worst in the nation when it comes to voter turnout? Fortunately, the folks who built Hawaiʻi Dashboard, a cool new database of key Hawaiʻi facts, figures and trends, were reading my mind.”

Honolulu Civil Beat: Data For Dummies: Hawaiʻi Facts For Those Of Us Who Can’t Read Spreadsheets. “Now that another primary election has come and gone, I’ve been wondering: Is Hawaiʻi still the worst in the nation when it comes to voter turnout? Fortunately, the folks who built Hawaiʻi Dashboard, a cool new database of key Hawaiʻi facts, figures and trends, were reading my mind.”

Honolulu Civil Beat: Data For Dummies: Hawaiʻi Facts For Those Of Us Who Can’t Read Spreadsheets. “Now that another primary election has come and gone, I’ve been wondering: Is Hawaiʻi still the worst in the nation when it comes to voter turnout? Fortunately, the folks who built Hawaiʻi Dashboard, a cool new database of key Hawaiʻi facts, figures and trends, were reading my mind.”

Honolulu Civil Beat: Data For Dummies: Hawaiʻi Facts For Those Of Us Who Can’t Read Spreadsheets. “Now that another primary election has come and gone, I’ve been wondering: Is Hawaiʻi still the worst in the nation when it comes to voter turnout? Fortunately, the folks who built Hawaiʻi Dashboard, a cool new database of key Hawaiʻi facts, figures and trends, were reading my mind.”

Honolulu Civil Beat: Data For Dummies: Hawaiʻi Facts For Those Of Us Who Can’t Read Spreadsheets. “Now that another primary election has come and gone, I’ve been wondering: Is Hawaiʻi still the worst in the nation when it comes to voter turnout? Fortunately, the folks who built Hawaiʻi Dashboard, a cool new database of key Hawaiʻi facts, figures and trends, were reading my mind.”

StateScoop: Pennsylvania launches voter data dashboard. “Pennsylvania election officials on Monday launched a new data dashboard designed to make the state’s voter registration data easier for the public to access and track ahead of the November election.”

StateScoop: Pennsylvania launches voter data dashboard. “Pennsylvania election officials on Monday launched a new data dashboard designed to make the state’s voter registration data easier for the public to access and track ahead of the November election.”

StateScoop: Pennsylvania launches voter data dashboard. “Pennsylvania election officials on Monday launched a new data dashboard designed to make the state’s voter registration data easier for the public to access and track ahead of the November election.”

StateScoop: Pennsylvania launches voter data dashboard. “Pennsylvania election officials on Monday launched a new data dashboard designed to make the state’s voter registration data easier for the public to access and track ahead of the November election.”

StateScoop: Pennsylvania launches voter data dashboard. “Pennsylvania election officials on Monday launched a new data dashboard designed to make the state’s voter registration data easier for the public to access and track ahead of the November election.”

Socio-Hydrology Modeling Captures How Inequalities Impact Community Flood Resilience
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https://doi.org/10.1029/2025WR041393 <-- shared paper
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https://www.americanprogress.org/article/how-fema-can-build-rural-resilience-through-disaster-preparedness/ <-- shared technical/opinion article
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https://www.carbonbrief.org/us-flooding-increase-will-disproportionately-impact-black-and-low-income-groups <-- shared technical/opinion article
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https://headwaterseconomics.org/natural-hazards/unequal-impacts-of-flooding/ <-- shared technical/opinion article
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https://youtu.be/8jVRsD8wgMM?si=qBHchWZWkYRGbTdE <-- shared opinion video
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https://fedcommunities.org/lower-income-neighborhoods-face-greater-flood-risk-tougher-recovery/ <-- shared technical/opinion article
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H/T @matthew Preisser | PhD Civil Engineering, Natural Hazard Modeler and Socio-Hydrologists
“How can we better understand the dynamic feedbacks between the environment and society?
Socio-hydrology models are often built around the assumption that cities act as homogeneous entities, without capturing the variable capacity of communities with different underlying socioeconomic characteristics to respond to and recover from disasters.
In this study, [the authors] developed a disaggregated approach to model community-specific adaptive capacity, allowing [them] to examine how inequalities influence flood recovery and resilience. This framework provide[d] a basis for exploring hypotheses about the relationships between growth, inequality, and community resilience in the face of flood hazards.
[Their] results highlighted] the importance of considering community-level dynamics when developing flood mitigation and disaster response strategies that balance economic growth with equity. Many challenges remain in applying socio-hydrology models to real-world settings, but this work takes a step toward incorporating more realistic representations of socioeconomic inequality into human–water systems while preserving the generality and flexibility that make conceptual models useful…”
#risk #hazard #water #hydrology #flood #society #flooding #USA #SocioHydrology #naturalhazard #socioeconomic #population #demographics #infrastructure #damage #disaster #disaggregated #model #modeling #community #adaptiveresponse #growth #inequality #communityresilience #floodhazard #floodmitigation #disasterresponse #equity #city #town #rural #urban #economy #cost

Citizens Budget Commission: CBC Releases ‘Competitive NYS Dashboard: One-Stop Shop for Data on New York’s Ability to Attract and Retain Residents and Business’. “The dashboard provides a comprehensive look at New York’s population, economy, taxes, public spending, and education. By comparing New York over time, across regions and counties, and against peer states and the nation, Competitive […]

Citizens Budget Commission: CBC Releases ‘Competitive NYS Dashboard: One-Stop Shop for Data on New York’s Ability to Attract and Retain Residents and Business’. “The dashboard provides a comprehensive look at New York’s population, economy, taxes, public spending, and education. By comparing New York over time, across regions and counties, and against peer states and the nation, Competitive […]

Citizens Budget Commission: CBC Releases ‘Competitive NYS Dashboard: One-Stop Shop for Data on New York’s Ability to Attract and Retain Residents and Business’. “The dashboard provides a comprehensive look at New York’s population, economy, taxes, public spending, and education. By comparing New York over time, across regions and counties, and against peer states and the nation, Competitive […]

Citizens Budget Commission: CBC Releases ‘Competitive NYS Dashboard: One-Stop Shop for Data on New York’s Ability to Attract and Retain Residents and Business’. “The dashboard provides a comprehensive look at New York’s population, economy, taxes, public spending, and education. By comparing New York over time, across regions and counties, and against peer states and the nation, Competitive […]

Citizens Budget Commission: CBC Releases ‘Competitive NYS Dashboard: One-Stop Shop for Data on New York’s Ability to Attract and Retain Residents and Business’. “The dashboard provides a comprehensive look at New York’s population, economy, taxes, public spending, and education. By comparing New York over time, across regions and counties, and against peer states and the nation, Competitive […]

Long-form read: A community's elders made a promise over a millennium ago so the community can survive, but keeping that promise is dwindling the community's numbers.

https://us.cnn.com/2026/06/20/india/india-parsi-gender-court-case-intl-hnk-dst

#Parsi #Persia #India #demographics #dilemma #longform #essay

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

Vertical Land Motion And Human Exposure Across India's Coastal Regions
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https://doi.org/10.1029/2025GL120539 <-- shared paper 🔗
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https://www.indiaspend.com/climate-change/indias-coastal-cities-face-heavy-flooding-risk-due-to-sea-level-rise-970906 <-- shared media article 🔗
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#SeaLevelRise #Subsidence #India #InSAR #radar #Postdoc #GIS #spatial #mapping #inSAR #LandSubsidence #remotesensing #coast #coastal #coastline #India #earthobservation #subsidence #rise #urban #city #SLR #ClimateChange #spatialanalysis #spatiotemporal #marine #ocean #water #hydrology #risk #hazard #humanimpacts #flood #flooding #model #modeling #floodrisk #infrastructure #damage #costs #economics #verticallandmotion #VLM #ESA #Sentinel #Ahmedabad #Chennai #Amaravathi #Kochi #Kakinada #Kolkata #deltas #estuary #demographics #population #coastalsubsidence #landuse #planning #mitigation #farmland #agriculture #foodsecurity #groundwater #pumping #extraction

Growing Meltwater Reservoirs – Glacial Lakes Are Both A Resource And A Habitat Worthy Of Protection
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https://www.uni-potsdam.de/en/headlines-and-featured-stories/detail/2026-01-28-growing-meltwater-reservoirs-glacial-lakes-are-both-a-resource-and-a-habitat-worthy-of-protection <-- shared technical article
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https://doi.org/10.1038/s44221-025-00578-6 <-- shared paper
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https://github.com/geveh/LakeVolumes <-- shared GitHub ‘code base’
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#glaciallakes #GLOF #geomorphology #glaciers #hydrology #waterresources #glacier #melting #retreating #hydrogeomorphology #GIS #spatial #mapping #global #spatialanalysis #global #cryosphere #ice #water #hydrology #mountains #highaltitude #naturalresource #freshwater #reservoir #sediment #sedimentation #spatiotemporal #remotesensing #earthobservation #landcover #Arctic #coastal #meltwater #lake #longevity #watersecurity #risk #hazard #ecosystem #habitat #naturalhazard #planning #tourism #economy #usecase #watersupply #worldwide #population #demographics #glacial
@University of Potsdam | @University Of Leeds

“Whoever oppresses the poor shows contempt for their Maker, but whoever is kind to the needy honors God”*…

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

###

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.

source

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

‘A Beautiful Place That Has A Dragon’ - Where Hurricane Risk Meets Booming Growth
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https://www.nytimes.com/interactive/2023/11/19/upshot/carolina-hurricanes.html <-- shared media article
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“Hurricanes have always struck the shores of the United States.
But in recent decades, the combination of climate change and a growing coastal population has made them far more damaging — particularly in one corner of the Atlantic coast…"
#GIS #spatial #mapping #model #modeling #risk #hazard #Carolinas #northcarolina #usa #southcarolina #hurricanes #damage #climatechange #extremeweather #frequency #strength #stormsurge #coastal #population #demographics #atlanticcoast #sealevel #sealevelrise #SLR #flooding #flood #coastalflooding #hydrology #water #populationgrowth #harmsway #growth #economicimpact #cost

NEW: Over the past two decades, a big chunk of the country has transformed, as the West has gone from reliably red to a bastion of blue.

A look at the forces behind the change, starting in Colorado, which swung 18% from Bush's 2004 win to Biden's romp in 2020.

First of a series on "The New West."

https://www.latimes.com/politics/story/2023-03-21/how-democrats-won-the-west-colorado

#Politics #Colorado #ColoradoPolitics #West #WesternPolitics #demographics