Internal displacement

This factsheet aims to provide a snapshot of multi-sectoral conditions, needs, and challenges among Myanmar migrants in Surat Thani as captured between May and June 2023 by IOM Thailand’s multi-sectoral assessment of needs. The purpose of this assessment is to provide insights regarding the severity of needs among migrant populations, identify vulnerable population groups and geographic areas with the most acute needs, inform assistance planning and relevant Sustainable Development Goals (SDGs) targets, and provide sectoral and inter-sectoral baselines for future assessments.

This factsheet aims to provide a snapshot of multi-sectoral conditions, needs, and challenges among Myanmar migrants in Rayong as captured between May and June 2024 by IOM Thailand’s multi-sectoral assessment of needs. The purpose of this assessment is to provide insights regarding the severity of needs among migrant populations, identify vulnerable population groups and geographic areas with the most acute needs, inform assistance planning and relevant Sustainable Development Goals (SDGs) targets, and provide sectoral and inter-sectoral baselines for future assessments.

This factsheet aims to provide a snapshot of multi-sectoral conditions, needs, and challenges among Myanmar migrants in Phuket as captured between May and June 2024 by IOM Thailand’s multi-sectoral assessment of needs. The purpose of this assessment is to provide insights regarding the severity of needs among migrant populations, identify vulnerable population groups and geographic areas with the most acute needs, inform assistance planning and relevant Sustainable Development Goals (SDGs) targets, and provide sectoral and inter-sectoral baselines for future assessments.

This factsheet aims to provide a snapshot of multi-sectoral conditions, needs, and challenges among Myanmar migrants in Chon Buri as captured between May and June 2024 by IOM Thailand’s multi-sectoral assessment of needs. The purpose of this assessment is to provide insights regarding the severity of needs among migrant populations, identify vulnerable population groups and geographic areas with the most acute needs, inform assistance planning and relevant Sustainable Development Goals (SDGs) targets, and provide sectoral and inter-sectoral baselines for future assessments.

This report presents results from the early warning tool for the month of May 2024 in Kaduna and Katsina states. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGAs) - based team leads, were employed for data collection.
In May 2024, the TTT early warning tool captured 99 alerts in Faskari and Kaita LGAs of the Katsina State, Kachia and Kaura LGAs of Kaduna State. The triangulated alerts recorded events (27%) and sudden movements (73%) during the period. Bondog Ward located in Kaura LGA and Gidan Tagwai Ward located in Kachia LGA shared the highest number of recorded event alerts in these locations.

This report presents data from the early warning tool for the month of May 2024 in Katsina State. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGA) based team leads were used for data collection.
In May 2024, the TTT early warning tool captured 95 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts recorded events (93%) and movements (7%) were recorded during the period. The event alerts were spread across 83 per cent of the wards in the four operational LGAs. Batsari, Dan Alhaji Yangayya and Dan Musa A wards in Batsari and Dan Musa LGAs, shared the highest number of recorded event alerts. 

This report presents results from the early warning tool for the month of April 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGAs) - based team leads, were employed for data collection.
In April 2024, the TTT early warning tool captured 58 alerts in Faskari and Kaita LGAs of Katsina State, Kachia and Kaura LGAs of Kaduna State. The triangulated alerts included events (21%) and sudden movements (79%) during the period. Bondog Ward located in Kaura LGA and Gidan Tagwai Ward located in Kachia LGA shared the highest number of recorded event alerts in these locations.

This report presents data from the early warning tool for the month of April 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area-based team leads were used for data collection.
In April 2024, the TTT Early Warning tool captured 29 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts included events (97%) and movements (3%) were recorded during the period. The event alerts spread across 83 per cent of the wards in the four operational LGAs. Batsari , Gurbi and Mazanya wards in Jibia and Batsari LGAs, shared the highest number of recorded event alerts. 

This report presents results from the early warning tool for the month of March 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGAs) - based team leads, were employed for data collection.
In March 2024, the TTT early warning tool captured 112 alerts in Faskari and Kaita LGAs of Katsina State, Kachia and Kaura LGAs of Kaduna State. The triangulated alerts included events (42%) and  sudden movements (58%) during the period. Bondog ward located in Kaura LGA and Gidan Tagwai ward located in Kachia LGA shared the highest number of recorded event alerts in these locations.

This report presents data from the early warning tool for the month of March 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area-based team leads were used for data collection.
In March 2024, the TTT Early Warning tool captured 91 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts included events (8%) and massive/sudden movements (92%) were recorded during the period. The event alerts spread across 74 per cent of the wards in the four operational LGAs. Batsari, Rumah and Dan Alhaji Yangaiya wards in Kankara and Batsari LGAs, shared the highest number of recorded event alerts.