Assessment Report

In Round 47, a total of 2,271,987 Internally Displaced Persons (IDPs) were identified in 468,013 households. This signifies a slight decrease of one per cent (or 33,348 individuals) compared to Round 46 when 2,305,335 IDPs were recorded (December 2023). During Round 47, IDP assessments were conducted in 2,299 locations across the six states of north-east Nigeria. The assessed locations included 266 camps and camp-like settlements and 2,033 locations where internally displaced persons lived among host communities. Furthermore, 2,093,604 returnees were recorded in Borno, Adamawa and Yobe (BAY) states during the Round 47 assessment. This number represents an increase of 9,769 individuals or less than one per cent compared to Round 46 when 2,083,835 returnees were recorded in December 2023.

This report, based on a multi-method and multi-source approach, provides insights into the profiles, experiences, needs, routes travelled and intentions of migrants transiting through North Macedonia. Data was collected from 1 April to 30 June 2024. IOM Displacement Tracking Matrix (DTM) enumerators surveyed 270 migrants in TTC Vinojug and TTC Tabanovce.

Since 25 June 2024, DTM monitored numerous clashes across Sennar state that triggered widespread displacement. 

Reported clashes displaced an estimated 725,965 individuals (145,193 households) between 25 June and 29 July 2024.

The Focused Flash Alert provides a numeric breakdown of displacement due the recent escalations, including estimates on secondary displacement of IDPs. All figures should be understood as preliminary estimates, pending further verification. 

DTM Sudan releases Early Warning Flash Alerts to provide immediate updates on specific incidents or armed clashes that spurred displacement.  Early Warning Flash Alerts are distributed via the DTM Sudan mailing list. For more granular information on displacement and mobility, see Sudan Mobility Update (04).

This report, based on a questionnaire administered through a Kobo toolbox, provides insights into the profiles, experiences, needs, routes travelled and intentions of migrants transiting through Montenegro. Data was collected from 1 April to 30 June 2024. IOM surveyed 397 migrants in Reception Centers Božaj and Spuž, and active transit locations such as bus stops or at key entry and exit locations (Rožaje and Pljevlja) throughout the country.

This report provides insights into the profiles, experiences, needs, routes travelled and intentions of migrants transiting through the Western Balkans. IOM surveyed 822 migrants from 1 June to 30 June 2024 in Albania, Bosnia and Herzegovina, Montenegro, North Macedonia, Serbia and Kosovo*.

References to Kosovo* shall be understood in the context of UN Security Council Resolution 1244 (1999).

The General Population Needs and Vulnerability Assessment (GPS) is the quarterly representative survey assessing the situation of the local population of the Republic of Moldova and is conducted to identify changes and trends in their vulnerabilities, needs, and intentions over time. The study is a joint initiative of IOM and the World Food Programme (WFP) with inputs to the questionnaire from the Ministry of Labour and Social Protection (MoLSP). The key findings include:

• 19% of the households (HH) are food insecure, while 37% reported having used crisis and emergency coping strategies to respond to their food needs.
• 12% of HH had to borrow money or rely on friends to afford food while 22% had to reduce the number of meals per day.
• 32% per cent of the respondents reported having at least one chronically ill person in their household, 18% reported the presence of a person with disabilities.
• 85% of the respondents were employed. 54% of the HH had more than one adult member earning an income.
• 19% of HH received social assistance. Among them, 56% reported that the social assistance they received was not sufficient or barely sufficient to cover their households’ basic needs.

Mobility Tracking is a DTM methodology which aims to quantify the presence of population categories as well as the populations’ reasons for displacement, length of displacement and needs. Mobility tracking relies on key informant interviews (KIIs) to estimate the size, priorities and mobility dynamics of a given population. For more information on the DTM methodology, see the DTM Methodological Framework.

The second round of data collection was deployed in 2023 to understand changes in the mobility dynamics induced by prolonged drought and the recovery phase, as well as updates on mobility trends and the most urgent sectoral needs of the target mobile population groups and host communities, to assess changes since the 2022 data collection.

Key findings included:

• Displacement reportedly increased by an approximate 200% in the past 4 years:
  • 12 per cent of arrivals arrived in their location of displacement in 2020, 61 per cent arrived between 2020 and 2022 and 27 per cent arrived in 2023.
  • In nearly all the assessed sub-locations (99%) informants reported the presence of pastoralist dropouts. Across all the sub-locations, 88 per cent of pastoral dropouts happened before 2023, and dropout rates increased most drastically during the 2020-2022 drought period.
  • All arrival households (100% or 15,299 households) arrived at sub-locations that already struggled with the severe effects of drought, resource-based conflict, and ethnic clashes.[1]
• Between September 2022 and May 2023, the reported primary driver of forced displacement was drought. As of May 2024, the primary driver of displacement was floods with 23, 511 households displaced across Kenya.
• 81 per cent of returnees temporarily resided in Kenya, and 16 per cent temporarily resided in Somalia. Of those who temporarily resided in Kenya, 57 per cent were temporarily located in a location outside their immediate area of origin in Garissa County, suggesting prevalent internal migration within the county and cross-border movement dynamics.
• 10,158 child-headed households were identified in Garissa. Of these, 2,954 (29%) had no relatives or community members living near them and were separated from their legal or customary guardians and 8,181 children (81%) were reported as without permanent sources of support.
• In 33 per cent of Garissa sub-locations, shelters were reportedly not stable enough to withstand environmental hazards or security threats.
• Key informants reported 17,568 student dropouts (22% of the estimated number of students), despite concurrent reports that educational institutions were active in 96 per cent of sub-locations. The discrepancy between these figures’ warrants updated, additional investigation.
• Open defecation was reported in 66 sub-locations (44%).  [DI1] The most reported drivers for people to practice open defecation was the non-functionality of latrines (40%), difficulty in accessing the latrines (39%), lack of privacy as there was no reported partition for male and female cubicles (35%), and insecurity when accessing the latrines (11%).
  • Insecurity-related latrine issues were reported by key informants in Balambala (9 sub-locations), Dadaab (3 sub-locations), Lagdera (3 sub-locations) and Hulugho (1 sub-locations).
• Key informants reported that only 52% of the sublocations host a health facility. Furthermore, in 95% of the sub locations with a health facility, there was a reported absence of medicine and commodities
• Most respondents in sub-locations reported that the top three sources of drinking water were: motorized borehole (16%), rainwater (15%) and river water (10%).

 

 

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[1] Household reportedly arrived in their new sublocation at the following time periods: 12 per cent before 2020, 61 per cent between 2020 and 2022 and 27 per cent in 2023.

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 [DI1]Figures are correct, however in the dataset I can see Bush instead of open defecation, which has 0.

 

In the analysis shared I see that it is Bush (open defecation) under the WASH tab. However in the data table I cannot see such category.

 

When uploading the data to the website let’s make sure that categories have the same labels in the reporting and in the dataset

Ce tableau de bord présente les principaux résultats de suivi des mouvements de populations dans la province du Nord-Kivu à l’issue du onzième round d’évaluation conduit par l’unité de la Matrice de Suivi des Déplacements (Displacement Tracking Matrix, en anglais (DTM)) de l’Organisation Internationale pour les Migrations (OIM). Ces évaluations ont été réalisées à travers un exercice de collecte de données conduit du 26 mars au 15 mai 2024, en collaboration avec l’ONG locale, Promotion de Développement Humain et Protection de l’Environnement Social (PDHPES), et la Division Provinciale des Affaires Humanitaires (DIVAH) du Nord-Kivu. Lors de ce cycle, un total de 5 541 villages, couvrant 34 zones de santé (ZS), ont été évalués à travers des consultations avec 16 612 informateurs clé.

On the 7th of July 2024, IOM Displacement Tracking Matrix (DTM) conducted a rapid intention survey covering Renk TC 1, 2 and TC-Extension.
The objective of the assessment is to understand the population's return intentions, preferred destinations of return, as well as reasons for choosing to remain in the transit center.
As of the start of data collection, a total of 10,735 individuals (8,130 returnees and 2,605 refugees) were reported to be present at the Renk TC while 652 households were sampled to be interviewed with the vast majority of respondents being South Sudanese (99.8%)

Key Findings

• Nearly half of respondents experienced inclusion problems related to housing (42%), followed by lack of employment (33%), lack of access to services (13%) and problems related to access to school (5%).*
• Language barrier was the main inclusion challenge experienced by 54 per cent of respondents, followed by financial barrier (51%). Another 16 per cent experienced discrimination while in displacement.*
• The most important needs cited by respondents were financial support (77%) and food assistance (60%). This was followed by health-care services (39%) and the need for long-term housing (38%).
• Most respondents faced financial insecurity, as seven out of ten (71%) respondents would have been unable to cover an unexpected expense of 100 euros.
• Among unemployed respondents, 62 per cent were in need of labour market counseling.
• Among respondents, 23 per cent shared meals with locals at least once a month and communicated with locals at least 3 times a month.
• Among respondents, 33 per cent rarely or never felt like an outsider and had at least a moderately strong connection to the host country.
• Close connection to the host community increased from 56 per cent among those having stayed for 1 year or less in Hungary to 81 per cent among those having spent more than 2 years in the country.
• Among respondents, 72 per cent enrolled their infants (0-4 years old) in childcare facilities while 84 per cent enrolled their children (5-17 years old) in local schools.
• Two-thirds of respondents were registered with a general practitioner (66%) and 79 per cent registered their children with a paediatrician.
• Of all respondents, 56 per cent found visiting a doctor difficult. Among them, the main problems included language barrier (50%), long queues (31%) and the lack of documents (9%).*

*Multiple answers possible