IOM COVID-19 Impact on Points of Entry Monthly Analysis is meant to serve IOM Member States, IOM, UN and voluntary partner agencies, the civil society (including media) as well as the general population in analysing the impact of COVID-19 pandemic on Points of Entry. It is particularly relevant when identifying and addressing specific needs faced by migrants and mobile populations, disproportionately affected by global mobility restrictions. The report is based on information provided by IOM field staff, using resources available at the IOM country office level and is accurate to the best of IOM’s knowledge at the time of compilation. All information is being constantly validated, including the geolocation and attributes, and through regular assessments and triangulation of information. The updates depend on the time frame within which the information becomes available and is processed by IOM. For this reason, the analysis is always dated and timestamped in order to reflect reality at a given time. However, as the situation continuously evolves and changes, despite IOM’s best efforts, the analysis may not always accurately reflect the multiple and simultaneous restrictive measures being imposed at a specific location.

The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel, and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional, and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.

IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points, and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied, and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at the location level.

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 2022 to 2 April 2022, IOM Yemen DTM tracked 4,960 households (HH) (29,760 Individuals) who experienced displacement at least once.

Between 27 March and 02 April 2022, IOM Yemen DTM tracked 130 households (780 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Ad Dali (40 HHs) – Ad Dali (18 HHs), Qatabah (15 HHs), Al Hasayn (6 HHs) districts. Most displacements in the governorate originated from Ad Dali and Ibb.
• Marib (40 HHs) – Marib City (30 HHs), Marib (10 HHs) districts. Most displacements in the governorate originated from Marib and Taiz.
• Taiz (17 HHs) – Mawza (14 HHs), Al Qahirah (3 HHs) districts. Most displacements in the governorate originated from Taiz and Al Hodeidah.

The majority of people moved from the following governorates and districts   

• Taiz  (29 HHs) – Maqbanah (12 HHs), Mawza (6 HHs), Sabir Al Mawadim (4 HHs) districts.
• Al Hodeidah   (18 HHs) –      Hays (6 HHs), Zabid (3 HHs), Al Jarrahi (2 HHs) districts.
• Ad Dali       (18 HHs) – Qatabah (14 HHs), Al Husha (4 HHs) districts.

This factsheet presents key findings from the period 16 November to 30 December 2021, this represents the results from the Round 9 of Displacement Tracking Matrix (DTM) assessments carried out by the International Organization for Migration (IOM) in North-central  & North-west Zone.

During Round 9, DTM identified 969,757 IDPs (157,519 households).

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders. It provides an insight into mobility trends, migration drivers and traveller profiles to inform programming by humanitarian and development partners and by the government, complementing DTM’s monitoring of COVID-19 mobility restrictions. In total, 27 Flow Monitoring Points (FMPs) were active in January 2022, surveying internal flows and cross-border travel with Uganda (UGA), the Democratic Republic of Congo (DRC), Sudan (SDN), Ethiopia (ETH), Kenya (KEN) and the Central African Republic (CAR). In January, the FMP in Raja Town was reopened. Activities at Rubkona Suksita were temporarily moved to Bentiu IDP Camp (Canoe Station) due to flooding. The FMP Malakal Bus Station continues to be suspended. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.

Please click here to access a summary dataset. 
 

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders. It provides an insight into mobility trends, migration drivers and traveller profiles to inform programming by humanitarian and development partners and by the government, complementing DTM’s monitoring of COVID-19 mobility restrictions. In total, 25 Flow Monitoring Points (FMPs) were active in December 2021, surveying internal flows and cross-border travel with Uganda (UGA), the Democratic Republic of Congo (DRC), Sudan (SDN), Ethiopia (ETH), Kenya (KEN) and the Central African Republic (CAR). A new FMP, Roriak, had been introduced. Activities at Rubkona Suksita were temporarily moved to Bentiu IDP Camp (Canoe Station) due to flooding. The FMP Malakal Bus Station continues to be suspended. Questions pertaining to physical and mental disabilities have been removed from the questionnaire and will not be reported on from this month onwards. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.

Please click here to access a summary dataset. 

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders. It provides an insight into mobility trends, migration drivers and traveller profiles to inform programming by humanitarian and development partners and by the government, complementing DTM’s monitoring of COVID-19 mobility restrictions. In total, 24 Flow Monitoring Points (FMPs) were active in November 2021, surveying internal flows and cross-border travel with Uganda (UGA), the Democratic Republic of Congo (DRC), Sudan (SDN), Ethiopia (ETH), Kenya (KEN) and the Central African Republic (CAR). The FMP Malakal Bus Station continues to be suspended. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.

Please click here to access a summary dataset. 

Війна в Україні, яка розпочалася 24 лютого 2022 року, спричинила безпрецедентну гуманітарну кризу, що охопила всі області країни. У період з 24 березня по 1 квітня Міжнародна організація з міграції (МОМ) провела другий раунд репрезентативного експрес-оцінювання загального населення України для збору інформації стосовно потоків внутрішнього переміщення та мобільності, а також для оцінювання місцевих потреб. Це оцінювання загального населення слугує первинним джерелом для виявлення сфер із високими гуманітарними потребами та визначення цільових заходів реагування для надання допомоги населенню, що постраждало від війни. Географічне охоплення цього оцінювання покриває всю територію України, усі п’ять макрорегіонів (захід, схід, північ, центр, південь та місто Київ), за винятком Кримського півострова. Опитування загального населення було проведено шляхом набору
випадкових телефонних номерів, завдяки чому було анонімно опитано 2 000 унікальних респондентів віком від 18 років із використанням методу автоматизованого телефонного опитування (CATI). Оцінка спирається на дані про населення ЮНФПА, якігуманітарна спільнота розглядає як базове значення для чисельності населення в Україні. Особи, які наразі перебувають за межами України, під опитування не потрапили. Докладніше про метод і обмеження, у тому числі про визначення МОМ терміна «внутрішньо переміщені особи» для цілей цього оцінювання, див. на с. 8. 

Цей звіт також доступний англійською мовою 

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders. It provides an insight into mobility trends, migration drivers and traveller profiles to inform programming by humanitarian and development partners and by the government, complementing DTM’s monitoring of COVID-19 mobility restrictions. In total, 24 Flow Monitoring Points (FMPs) were active in October 2021, surveying internal flows and cross-border travel with Uganda (UGA), the Democratic Republic of Congo (DRC), Sudan (SDN), Ethiopia (ETH), Kenya (KEN) and the Central African Republic (CAR). While activities at Malakal Bus Station continue to be suspended, data collection at North Renk Checkpoint resumed in early October. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.

Please click here to access a summary dataset.