25 September 2022
| Dataset date: August 03, 2021-August 10, 2022
The dataset contains number of people displaced and returnees at village level in Tanganyika province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
21 September 2022
| Dataset date: September 30, 2019-September 30, 2019
This dataset reflects the aggregation of the registration exercises conducted in Sudan since 2010, contains IDPs, households and Returnees by age and sex. All DTM registration and assessment exercises were jointly conducted in collaboration with Humanitarian Aid Commission (HAC).
20 September 2022
| Dataset date: March 02, 2018-July 30, 2022
The dataset contains number of people displaced and returnees at village level in South Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
19 September 2022
| Dataset date: January 01, 2016-August 31, 2022
Data collated by UNHCR - Protection and Return Monitoring Network (PRMN), contains internally displaced persons. The data includes regions (departure and arrival), districts (departure and arrival), reasons of displacements and the IDPs from January 2016 - August 2022.
16 September 2022
| Dataset date: June 01, 2020-September 28, 2022
This study includes information on the population of all cities and towns outside the control of the Regime in Syria. The study is updated monthly, in that IMU enumerators of ACU track the population in all areas outside the control of the regime, along with movements of displacement and return on a permanent basis. This study also presents the total population and gender ratio, the total number of IDPs and the types of shelters in which they are settled, the number of newly displaced people during the last month and the types of shelters in which they are settled, the number of those who left and the reasons that forced them to leave their home towns, the number of returnees during the last month with their most critical needs. The Study presents information on the situation of the local councils in areas to which the residents returned during the past month, availability of basic services in areas of return, evaluation of these services, decision-makers and primary service providers, and sources of income for returnees.
The study data can be shown at different levels through the filter bar at the top of the page; it is also possible to display the graphic figures at three levels (district - sub-district - community) through the buttons at the bottom of the figures. Maps can be shown at two levels (district - sub-district) through the two buttons at the bottom of the map.
Data can be downloaded from the last page of the study.
For more details, please contact us through IMU email address: firstname.lastname@example.org
This product is funded by the CDCS-MEAE
Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement.
Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any
kind is implied or possible where projections of future conditions are attempted.
15 September 2022
| Dataset date: January 01, 2019-August 31, 2022
The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally.
It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high.
ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results.
Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity
This data is also available on ACAPS API: http://api.acaps.org/api/v1
6 September 2022
| Dataset date: January 31, 2016-April 20, 2022
The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation.
The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
5 September 2022
| Dataset date: January 01, 2019-September 04, 2022
DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
5 September 2022
| Dataset date: December 01, 2015-April 30, 2022
This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment.
In the context of the political instability that has prevailed since the uprising in Libya (October 2011) and culminated in the collapse of a fragile central authority accompanied by fragmentation and infighting among myriads of militias, with continued fighting since the mid-2014 escalations, estimates indicate that the number of Internally Displaced Per-sons (IDPs) in Libya has exceeded 400,000 individuals, some eight percent of the total population (HNO, September 2015). While the country struggles to achieve and maintain stability, thousands of migrants are also taking journeys to and through Libya in a desperate bid to seek a better life in Europe. These migrants are exposed to risks of being trafficked and exploited while traveling through dangerous routes in deserts and territories controlled by different armed groups, as well as dying during attempts to cross the Mediterranean Sea.
However, there has been no standardized mechanism in place to verify and regularly update IDP and migrant numbers. Given that most humanitarian and international organizations operate remotely from Tunis since mid-July 2014 due to the deteriorating security situation, maintaining access to reliable and updated data on the humanitarian situation in Libya has been challenging.
30 August 2022
| Dataset date: March 09, 2022-August 23, 2022
IOM conducted rapid representative surveys of the general population in Ukraine to gather initial insights into internal displacement and mobility flows, and to assess local needs. While Displacement Tracking Matrix tools are being established, this general population survey will serve as a preliminary source to identify areas with high humanitarian needs and to inform the targeting of response aiming to assist the conflict-affected population. The geographical scope of the survey covers all five macro-regions (West, East, North, Center, South, and the city of Kyiv). The probabilistic sample, representative at macro-region level, was constructed through a random‐digit‐dial (RDD) approach, and 2,000 respondents aged 18 and over were interviewed using the computer assisted telephone interviewing (CATI) method. Those currently outside Ukraine were not interviewed. Population estimates assume that children travel together with their adult guardians. The estimates rely on the UNFPA population data for Ukraine, agreed upon as the common population baseline by the humanitarian community.