#worldpop — Public Fediverse posts

Better maps lead to better health decisions.

Learn how WorldPop population data integrated with DHIS2 is helping countries identify underserved communities, improve vaccination planning, and allocate health resources more effectively.

https://www.worldpop.org/blog/from-maps-to-impact-at-dac2026-how-worldpop-population-data-is-powering-smarter-health-decisions-in-dhis2/

#DHIS2 #WorldPop #DigitalHealth #GlobalHealth #GIS #PublicHealth #DataForGood

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
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https://doi.org/10.3390/geographies6020043 <-- shared paper
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H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

Mapping the Future: High-Resolution Population Open Data Meets Global Health

The new WorldPop Global 2 dataset is now integrated into DHIS2 - delivering 100m gridded population data for smarter vaccination planning, climate resilience & outbreak prediction.

From interactive maps to custom indicators, health teams can see exactly where people live.

Learn more: https://www.worldpop.org/blog/mapping-the-future-how-worldpop-global-2-is-revolutionizing-health-data-in-dhis2/

#GlobalHealth #DHIS2 #WorldPop #HealthData #GIS #ClimateHealth #PublicHealth #OpenData

📝 Three #vacancies with the #WorldPop project at the University of #Southampton - please share with networks/colleagues:

🔴 Senior #ResearchFellow https://jobs.soton.ac.uk/Vacancy.aspx?ref=3276325WR

🟠 Specialist #Technician https://jobs.soton.ac.uk/Vacancy.aspx?ref=3276825WR

🟡 #Engagement and #CommunicationsManager
https://jobs.soton.ac.uk/Vacancy.aspx?ref=3264725WR

#demography #population #populationestimates #humangeography #demographicdata #jobs #recruitment #researchjobs #commsjobs

A population estimation workshop was held in Beirut last week with Lebanon’s Central Administration of Statistics, ministries & UN partners.

With no census since 1932 geospatial modelling can fill major data gaps to guide Lebanon's recovery & planning.

#WorldPop #Lebanon #DataForDevelopment

Using #WorldPop data, UNOSAT estimates ~41,000 people remain exposed to floodwaters in KP as of Aug 20, despite receding levels. Pakistan’s monsoon floods since June have caused 785 deaths & widespread damage.

#PakistanFloods2025

https://reliefweb.int/report/pakistan/pakistan-monsoon-floods-2025-flash-update-2-22-august-2025

🌍 How can data save lives during disasters?

WorldPop co-produced high-resolution population data for a new UN study, helping map how vulnerable groups across Latin America & the Caribbean face risks from floods, earthquakes, and more.

Smarter data = smarter disaster planning. 💡📊

#DisasterRiskReduction #WorldPop #ClimateResilience #UNFPA #UNDRR #DataForGood

https://www.worldpop.org/blog/worldpop-co-produces-vital-population-data-for-un-disaster-risk-study/

Yay! Dragon Pony did another World Wide Cover compilation! I love it!

🇹🇭 🇮🇩 🇯🇵 전 세계 HOT MUSIC을 드래곤포니가 밴드 사운드로 가져옴!🥁🎸ㅣStray Kids, The Lantis, Lady Gaga, Little John, Xiao Bing ChihㅣDragon PonyㅣW.W.C
https://www.youtube.com/watch?v=8x2fS9qNISY

#DragonPony #WWC #WorldPop

One day late to start #30daymapchallenge but one of these was generated by accident today out of pgadmin @anyways so I decided to participate after all.

This is a map with randomly generated population samples. We generate one location per person across the planet. We use #worldpop and as always #openstreetmap as a mask to distribute the samples.

Three maps, one in Antwerp, Belgium (the city hosting @sotmeu next week), the other in Ha Noi, Viet Nam and the other Vancouver, Canada.

3a. For the first visualization:
- Apply a graduated symbology or "data-defined" symbology using the pop_sum field.

3b. For the second visualization:
- Use geometry generators and the "scale" expression with pop_sum and max(pop_sum) to create the bar/column graph.

🧵 4/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat #DataViz #DataVisualization

1. Used QGIS' "Create grid" algorithm to generate a grid of 30 second (or longitudes) covering the extent of the Philippines.

2. Used the "Zonal Statistics" algorithm to compute for the sum of population (pop_sum) for each latitude (or longitude) using the WorldPop population data.

🧵 3/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat

The data used are a population raster (30 second/1km grid) from WorldPop and Philippine admin boundary map from GADM.

The first map visualizes the population per 30 second of latitude (or longitude) using color while the second visualizes the population as a bar/column chart.

The process was once again fairly straightforward.

🧵 2/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat

Friday is map day! Were you waiting for new maps/visualizations of Philippine population? Well, you're in luck because here's #anotherone (or four really).

This time they are maps of population per latitude (and longitude) in the Philippines. As usual, all the processing and map-making was done in QGIS.

🧵 1/4

#GIS #QGIS #Geospatial #Philippines #Maps #Cartography #MakeBetterMaps #Population #WorldPop #gischat #DataViz #DataVisualization