Fiji
Fiji
IDPs tracked
Displacement Movements
Data collection round
About Fiji
Following the devastation brought about by Tropical Cyclone Winston, initial reports from the Fiji Government in early March indicated that more than 54,000 evacuees had taken refuge from TC Winston and in its aftermath in more than 700 evacuation centres, many of which were schools. By 26 March 2016, official government figures recorded 361 evacuees in 26 evacuation centres. As no comprehensive survey had been undertaken on the conditions within the officially listed evacuation centres and in other places besides their houses to which evacuees moved after leaving the official evacuation centres, IOM was requested by the Government of Fiji to conduct tracking and monitoring to capture that information.
Working in close collaboration with the National Disaster Management Office (NDMO) and the Fiji Islands Bureau of Statistics (FIBoS), 32 enumerators trained by IOM conducted Evacuation Tracking and Monitoring (ETM) on 9-23 March 2016. The ETM enumerators were deployed to Ba, Ra, Bua, Lomaiviti, Ra, Cakaudrove and Lau Provinces and were able to survey 309 evacuee sites interviewing key informants such as village leaders and private individuals seeing to the needs of the evacuees as well as knowledgeable evacuated persons themselves.
Contact
Mark Maulit
DTM Coordinator
[email protected]
ETM Cycle 2 assessed 535 villages in 8 affected provinces in all four divisions. Of the assessed villages, 374 villages in 39 districts and eight provinces were found to be affected.
ETM teams identified 309 evacuee sites. 167 sites were found to be occupied by 7,062 evacuees. Evacuees were concentrated in six provinces (Ba, Ra, Lomaiviti, Bua, Cakaudrove and Lau) with the highest concentrations in Ra, Lomaiviti and Cakaudrove.
DTM Global Survey 2023
The Displacement Tracking Matrix (DTM) Global Survey 2023 is an annual stocktaking exercise which aims to present IOM DTM's operations and activities transparently. The Global Survey focuses on operations active from January 1 to December 31, 2023, with data collection occurring from February to April 2024.