No

Since October 8 there has been an increase in cross-border incidents between Israel and Lebanon, resulting in the displacement of people both within the South and elsewhere within the country. Since October 10, the Displacement Tracking Matrix (DTM) has been conducting the daily monitoring of population movements. The objective of the exercise is to inform preparedness and response planning.

Ushbu hisobot O‘zbekistonda o‘tkazilgan Migratsiya ma’lumotlaridagi bo‘shliqlarni tahlil qilish tadqiqotidan olingan natijalarni umumlashtirib, tegishli milliy ma’lumot bazalari, BMT agentliklari va rivojlanish tashkilotlaridagi mavjud migratsiya ma’lumotlari manbalarini aniqlash va baholashni o‘z ichiga oladi. Ma’lumotlarni ko‘rib chiqish immigratsiya, emigratsiya, qaytgan migrantlar, noqonuniy migratsiya, ichki ko‘chishlar, O‘zbekiston ichidagi qochqinlar va o‘zbekistonlik chet eldagi qochqin maqomidagilar hamda pul o‘tkazmalari kabi asosiy migratsiya mavzularini qamrab oladi. Mazkur hisobot O‘zbekiston Respublikasi Prezidenti huzuridagi Statistika agentligi (O‘zStat), Ichki ishlar vazirligi, Tashqi mehnat migratsiyasi agentligi va Markaziy bank kabi asosiy davlat organlari ma’lumotlarini migrantlar jinsi, yoshi, kelib chiqish hududi yoki borish mamlakati kabi kategoriyalar bo‘yicha ajratilgan holda taqdim etib, har bir yo‘nalishdagi migratsiya jarayonlari bo‘yicha tushunchalar beradi. 

Shuningdek, ushbu hisobot O‘zbekistondagi joriy migratsiya boshqaruvi tizimi va qamrovi haqida ma’lumot beruvchi muhim milliy migratsiya dasturlariga e’tibor qaratadi. Ushbu tahliliy tadqiqot keng qamrovli manzarani taqdim etsa-da, mavjud ma’lumotlarda bo‘shliqlar saqlanib qoladi, xususan, yil bo‘yicha ichki migratsiya ko‘rsatkichlari, demografiya, bandlik, ta’lim va aholi soni bo‘yicha ma’lumotlar yetishmaydi. Qochqinlar va noqonuniy migrantlar, ularning harakat yo‘nalishlari, ijtimoiy xususiyatlari va qaytish holatlari to‘g‘risidagi ma’lumotlar ham yetarli emas. Ushbu ma’lumotlar bo‘shliqlarini bartaraf etish migratsiya sohasidagi tahliliy ishlarni yanada yaxshilaydi hamda migratsiya siyosatini aniqroq rivojlantirishga yordam beradi, jumladan, emigrantlarning ta’lim darajasi yoki vatanga qaytgan migrantlarning bandlik holati kabi nozik masalalarga e’tibor qaratishga imkon beradi. Katta ma’lumotlar (Big data) va yanada batafsil ma’lumotlar to‘plamlariga asoslangan kelgusidagi tadqiqotlar O‘zbekistonning milliy migratsiya siyosatini qo‘llab-quvvatlab, mamlakatning migratsiya landshaftini yaxshiroq tushunishga yordam beradi. 

This report summarizes findings from the Migration Data Mapping Exercise in Uzbekistan, which identifies and evaluates existing migration data sources within national government databases, UN agencies, and development organizations. The data review covers major migration topics, including immigration, emigration, return migration, undocumented migration, internal displacement, refugees hosted in and from Uzbekistan, and remittances. Key government bodies, such as the Statistics Agency under the President of Uzbekistan (UZSTAT), the Ministry of Internal Affairs, the Agency for External Labour Migration, and the Central Bank of Uzbekistan contribute data, often disaggregated by variables such as gender, age, and country of origin or destination, providing insights into migration patterns across sectors.

Additionally, this report highlights significant national migration policies, shedding light on both the structure and scope of current migration governance in Uzbekistan. While this mapping exercise offers a comprehensive view, notable gaps remain in the available data, particularly around stock figures, demographics, employment, education, and internal migration stocks by year. Information on refugee populations and undocumented migrants, as well as their movement routes, sociological profiles, and return migration specifics, is especially limited. Addressing these data gaps would enhance analysis and support the development of targeted migration policies, addressing nuances such as education levels among emigrants or employment status of returnees. Future research focused on big data and more granular datasets could further support national migration policies, fostering a clearer understanding of Uzbekistan's migration landscape.

Over the reporting period, a total of 1,175 cross-border movements were observed at the Flow Monitoring Points (FMPs). The average daily number of flows was 56. This represented a 22 per cent increase compared to August, during which 46 individual movements were observed on a daily basis. Malawi (68%), United Republic of Tanzania (32%), Burundi (<1%) and Democratic Republic of the Congo (<1%) were the main countries of departure, while Malawi (70%), United Republic of Tanzania (30%) and Mozambique (<1%) were the main countries of intended destination of individuals passing through the different FMPs. Out of 1,175 individuals observed, 52 per cent were males and 48 per cent were females. There was a number of women who were visibly pregnant. Boys and girls (males and females below 18) made up 24 per cent of the individuals observed. Of the 285 children observed, 31 were children travelling without an adult (14 boys and 17 girls). However, this information is based on direct observation and self-reporting, and therefore is likely under-reported.

Over the reporting period, a total of 2,174 cross-border movements were observed at the Flow Monitoring Points (FMPs). The average daily number of flows was 104. This represented a 17 per cent decrease compared to August, during which 124 individual movements were observed on a daily basis. Mozambique (59%), Malawi (40%), United Republic of Tanzania (<1%) and South Africa (<1%) were the main countries of departure, while Malawi (58%), Mozambique (41%), United Republic of Tanzania (<1%) and Zimbabwe (<1%) were the main countries of intended destination of individuals passing through the different FMPs. Out of 2,174 individuals observed, 58 per cent were males and 42 per cent were females. There was a number of women who were visibly pregnant. Boys and girls (males and females below 18) made up 17 per cent of individuals observed. Of the 345 children observed, 22 were children travelling without an adult (7 boys and 15 girls). However, this information is based on direct observation and self-reporting, and therefore is likely under-reported.

The Natural Hazard Overview provides a summary of reported incidents of displacement in Sudan due to natural hazards, including fires and floods. DTM Sudan reported on increased displacement due to fires between April and July 2024, and increased displacement due to floods between July and October 2024. 

Between 01 April and 31 October 2024, DTM Sudan reported 140 incidents of sudden displacement due to natural hazard incidents. Information on earlier reported incidents of fire and flood induced displacement is available in the weekly Natural Hazard Displacement Summary reports, available on the DTM Sudan website. 

Highlights   

• DTM reported on 12 incidents of displacement due to fires and 128 incidents of displacement due to heavy rain or floods in 16 different states across Sudan.
• The reported incidents displaced an estimated 192,030 individuals (38,406 households). 

Note:  DTM reports on incidents of sudden displacement due to natural hazards via Early Warning Flash Alerts, published within 24 to 48 hours of reported incidents and distributed via the DTM Sudan mailing list. Figures should be understood as preliminary estimates on displacement due to a specific reported event, and therefore may or may not reflect broader displacement dynamics in Sudan. 

For further information, see DTM Sudan Methodological Note. For more granular information on displacement and mobility across Sudan, see DTM Sudan Mobility Update (10).

As of October 2024, an estimated 3.6 million people remain internally displaced in Ukraine, while 4.3 million previously displaced people have returned to their primary place of residence (IOM GPS R18). The war continues to have a significant impact on the country’s economy and on people’s livelihoods and living standards.

The protracted nature of the conflict and the uncertainty about the future it creates, together with unfavorable economic conditions, are expected to have a significant and lasting impact on the mental health of the Ukrainian population. Against this backdrop, this brief provides an overview of the population groups most at risk of experiencing symptoms of depression, examining factors such as gender, age, and disability. It also explores the relationship between mental health and displacement status, as well as individual and household-level socioeconomic characteristics, and outlines support needs. Finally, the brief presents recommendations for mental health and psychosocial support (MHPSS) programming across Ukraine, aiming to inform targeted assistance to address the pressing mental health challenges facing vulnerable populations affected by conflict

IOM Yemen DTM’s Rapid Displacement Tracking (RDT) tool collects data on estimated numbers of households forced to flee on a daily basis from their locations of origin or displacement, allowing for regular reporting of new displacements in terms of estimated numbers, geography, and needs. It also tracks returnees who returned to their location of origin.

From 1 January to 9 November 2024, IOM Yemen DTM tracked 3,112 households (HH) (18,672 Individuals) who experienced displacement at least once.

Between 3 and 9 November 2024, IOM Yemen DTM tracked 30 households (180 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Ma’rib (21 HH) – Ma’rib City (10 HHs), Ma’rib (9 HHs), Harib (2 HHs) districts. Most displacements in the governorate originated from Al Jawf and Ibb.
• Al Hodeidah (5 HHs) – Al Khukhah (4 HHs), Hays (1 HH) districts. All displacements in the governorate were internal.
• Ta’iz (4 HHs) – Jabal Habashi (4 HHs) district. All displacements in the governorate were internal.

The majority of people moved from the following governorates and districts:

• Al Hodeidah (8 HHs) – At Tuhayta (3 HHs), Jabal Ras (2 HHs), Al Marawiah (1 HH) districts.
• Ta’iz (7 HHs) – Maqbanah (4 HHs), Ash Shamayatayn (1 HH), Al Makha (1 HH) districts.
• Ibb (5 HHs) – An Nadirah (2 HHs), Hobeish (1 HH), Hazm Al Odayn (1 HH) districts.

IOM identified 22 additional households displaced in the previous reporting period, which covered 27 October - 02 November 2024, in the governorates of Ta’iz (12 HHs), Ma’rib (8 HHs), and Al Hodeidah (2 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.