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#population

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WorldPop's Andy Tatem and Jessica Espey report on the growing global crisis in #population data in The Conversation. Please share across your networks 📨

"When people vanish from #data, they vanish from #policy. When certain groups are systematically undercounted – often #minorities, #rural communities or #poorer people – they become invisible to #policymakers. This translates directly into #political #underrepresentation and inadequate resource allocation."

theconversation.com/global-pop

The ConversationGlobal population data is in crisis – here’s why that matters
More from The Conversation UK

⏰ Hey #population #postgraduate students - only TWO WEEKS left to submit your abstracts on all things #demography, #migration, #health, #data and #population for #PopFest2025.

Head to the info page for more about the research strands and to submit:
cpc.ac.uk/activities/popfest_2

📑You can also apply for a bursary to attend #PopFest2025, designed to support accepted presenters facing barriers to participation.

📨 Submit your bursary application for consideration by 4 April at: southampton.qualtrics.com/jfe/

Saskatoon population growth sees increased collision risk
Year over year, the number of traffic tickets issued by the Saskatoon police are down while fatal and non-fatal collisions are up significantly.
#traffic #collision #population #risk #Saskatoon #Canada
globalnews.ca/news/11091451/sa

Global News · Saskatoon population growth sees increased collision riskBy Joshua Gwozdz

Saskatoon population growth sees increased collision risk
Year over year, the number of traffic tickets issued by the Saskatoon police are down while fatal and non-fatal collisions are up significantly.
#traffic #collision #population #risk #Saskatoon #Canada
globalnews.ca/news/11091451/sa

Global News · Saskatoon population growth sees increased collision riskBy Joshua Gwozdz

🔴 🌍 **Global gridded population datasets systematically underrepresent rural population**

_“We find large discrepancies between the examined datasets, and, without exception, significant negative biases of −53%, −65%, −67%, −68%, and −84% for WorldPop, GWP, GRUMP, LandScan, and GHS-POP, respectively. This implies that rural population is, even in the most accurate dataset, underestimated by half compared to reported figures.”_

Láng-Ritter, J., Keskinen, M. & Tenkanen, H. Global gridded population datasets systematically underrepresent rural population. Nat Commun 16, 2170 (2025). doi.org/10.1038/s41467-025-569.

#OpenAccess #OA #Article #DOI #Geography #Science #Data #Population #Environment #Academia #Academics @geography @science