III. How to identify forcibly displaced people in household surveys: theory, applications and findings from case studies

Jun 17, 2025 | 1:45 PM - 3:00 PM

Lecture Room: Niagara:A0307

Description

The parallel session will explore the rationale for developing a standardized approach to classifying forcibly displaced individuals in household surveys along the statistical categories identified in the EGRISS International Recommendations on Refugee and IDP Statistics. The theoretical discussion will be complemented by case studies from diverse displacement contexts where the approach was tested and adapted using cognitive testing, behavioural analysis, and AI technologies. Case studies are drawn from UNHCR Forced Displacement Survey (FDS) refugee datasets for Pakistan, South Sudan, Cameroon and Zambia, and national surveys by statistical offices that included questions on forcible displacement to provide insights into the reliability of the questions in identifying such population groups, as well as lessons learned in adapting the set to diverse displacement contexts. Moderator: Aissatou Maisha Dicko, Head, Joint Data Center Speakers: - Lorenza Rossi, Survey Specialist, UNHCR - Robert Bain, MICS Coordinator, UNICEF - Benjamin Avusevwa, Director, Statistical Coordination and Methods, Kenya National Bureau of Statistics - Horacio Lovo, Sub Director Ejecutivo, Instituto Nacional de Estadística, Honduras