Syria

Photo of Nazim Gashi presenting at the Syrian Planning and Statistics Commission workshop

Syria gains its first national digital sampling frame to strengthen official statistics

WorldPop News /

Syria now has its first nationally approved digital system for selecting households for surveys. Developed with WorldPop’s support, it will help produce more reliable population data for public services, recovery and future censuses.  Years of conflict and limited international engagement have made nationwide surveys difficult. This has left government, UN agencies and development partners without […]

Syria gains its first national digital sampling frame to strengthen official statistics Read More »

Photo of conference hall with delegates at a UNICEF–MICS–WorldPop Regional Workshop for the Arab States in Amman, Jordan

Advancing National Survey Data with Geospatial Innovation in the Arab States

WorldPop News /

Last week in Amman, experts from across the Arab States came together for a pioneering UNICEF–MICS/WorldPop workshop on using geospatial methods to build modern national sampling frames. Co-led by Senior Research Fellow Dr Sarchil Qader and GIS Technician Iyanuloluwa Olowe with UNICEF GIS consultant Nazim Gashi, the workshop brought together senior officials and technical staff

Advancing National Survey Data with Geospatial Innovation in the Arab States Read More »

About Us

The WorldPop research programme, based in the School of Geography and Environmental Sciences at the University of Southampton, is a multi-sectoral team of researchers, technicians and project specialists that produces data on population distributions and characteristics at high spatial resolution.

Initiated in October 2013 to combine The AfriPop Project, AsiaPop and AmeriPop projects, we have a diverse portfolio of projects, including large multi-million-pound collaborative projects with partner organisations, commercial data providers and international development organisations.

WorldPop develops and publishes open, high-resolution population datasets to support social, economic, and environmental development, humanitarian response, and the Sustainable Development Goals. This data is not intended, and should not be used, for purposes that discriminate against, exploit, surveil, or otherwise harm individuals or vulnerable populations; users are expected to apply it responsibly, assess the risks of their own analyses (particularly when combining it with other datasets) and are solely responsible for how they use it.

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