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  • 90+ Downloads
    Updated 16 May 2022 | Dataset date: April 05, 2022-April 15, 2022
    This dataset updates: Every month
    The dataset contains number of IDPs, Returnees (households and individuals) at sub national levels.
  • 20+ Downloads
    Updated 16 May 2022 | Dataset date: March 15, 2022-May 20, 2022
    This dataset updates: Every month
    The Risk List enumerates the risks ACAPS analysts have identified. ACAPS analysts conduct daily monitoring and independent analysis of more than 150 countries to support evidence-based decision-making in the humanitarian sector. The information comes from publicly available sources and expert opinions. http://crisisinsight.acaps.org/risklist Need help navigating the platform? Click here for a 2-minute video tutorial https://www.youtube.com/watch?v=f161tOOC_Yk&feature=youtu.be
  • 1500+ Downloads
    Updated 15 May 2022 | Dataset date: June 01, 2020-May 20, 2022
    This dataset updates: Every month
    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 number of 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: imu@acu-sy.org
  • 6100+ Downloads
    Updated 13 May 2022 | Dataset date: January 01, 2019-April 30, 2022
    This dataset updates: Every month
    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
  • 1000+ Downloads
    Updated 11 May 2022 | Dataset date: March 09, 2022-May 03, 2022
    This dataset updates: Every two weeks
    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.
  • 1100+ Downloads
    Updated 10 May 2022 | Dataset date: January 07, 2020-May 10, 2022
    This dataset updates: Every month
    La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.
  • 800+ Downloads
    Updated 10 May 2022 | Dataset date: June 01, 2021-May 10, 2022
    This dataset updates: Every month
    La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.
  • 1900+ Downloads
    Updated 9 May 2022 | Dataset date: December 01, 2021-February 15, 2022
    This dataset updates: Every six months
    A village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and reintegration.
  • 11000+ Downloads
    Updated 5 May 2022 | Dataset date: December 01, 2021-January 07, 2022
    This dataset updates: Every six months
    The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level.
  • 300+ Downloads
    Updated 28 April 2022 | Dataset date: February 01, 2022-February 28, 2022
    This dataset updates: Every three months
    The increase of security incidents in northern Mozambique since 2017 resulted in population displacement as well as subsequent humanitarian needs in virtually every humanitarian sector. To better understand the scope of displacement and needs of displaced populations, and in light of the intensification of the situation, the International Organization for Migration (IOM) activated its Displacement Tracking Matrix (DTM) in the Cabo Delgado province in February 2019.
  • 10+ Downloads
    Updated 22 April 2022 | Dataset date: May 04, 2020-May 28, 2020
    This dataset updates: Never
    The dataset contains number of IDPs, Returnees (households and individuals) at sub national levels.
  • 1200+ Downloads
    Updated 20 April 2022 | Dataset date: October 01, 2020-February 28, 2022
    This dataset updates: Every three months
    Ce jeu de données, validé par la commission des mouvements de population, donne l'historique des PDIs (Personnes Déplacées Internes) et Réfugiés par sous-préfecture.
  • 7000+ Downloads
    Updated 19 April 2022 | Dataset date: January 01, 2019-October 31, 2021
    This dataset updates: Every month
    This dataset provides information on IDP movements and spontaneous IDP returns estimations on a monthly basis. In each resource, there is a summary table for IDP arrival estimations at the governorate level since January 2016. Each resource also includes a summary table for spontaneous IDP returns estimations at the governorate level since August 2018.
  • 70+ Downloads
    Updated 18 April 2022 | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: As needed
    Esta base de datos, extraída del portal de datos abiertos de la Unidad para la Atención Integral y Reparación a las Víctimas, contiene el número de víctimas por hechos del conflicto armado en Colombia entre 2017-2021 desagregado por hecho victimizante, departamento de ocurrencia, sexo, etnia y condición de discapacidad
  • Updated 18 April 2022 | Dataset date: August 04, 2021-September 30, 2021
    This data is by request only
    Whole of Afghanistan Multi-Sectorial Needs Assessment Conducted on Yearly Basis.
  • 10000+ Downloads
    Updated 13 April 2022 | Dataset date: January 31, 2016-February 18, 2022
    This dataset updates: Every three months
    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.
  • 1700+ Downloads
    Updated 30 March 2022 | Dataset date: November 12, 2021-December 01, 2021
    This dataset updates: Every year
    The dataset contains number of IDPs, Returnees and host communities and their needs at sub national level.
  • 200+ Downloads
    Updated 30 March 2022 | Dataset date: November 12, 2021-November 30, 2021
    This dataset updates: Never
    The data contains number of IDPs dis-aggregated by gender, age at village level.
  • 400+ Downloads
    Updated 28 March 2022 | Dataset date: August 03, 2021-September 01, 2021
    This dataset updates: As needed
    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.
  • 100+ Downloads
    Updated 21 March 2022 | Dataset date: March 11, 2022-March 11, 2022
    This dataset updates: As needed
    Estimates of the number of internally displaced persons (IDPs) in Ukraine. The estimates are based on data received from authorities, partners, and colleagues present in the field. It considers a clusterized approach (applying various estimation methodology based on geographic location and context), on top of the historical data from the past, and the refugee flows. For any queries, please contact: ukraineinfomanagement@unhcr.org or protectionclusterukraine@unhcr.org
  • 500+ Downloads
    Updated 21 March 2022 | Dataset date: July 26, 2021-August 29, 2021
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated 18 March 2022 | Dataset date: November 08, 2019-November 08, 2019
    This dataset updates: Never
    The dataset contains IDPs at sub national level displaced by Cyclone Kenneth
  • 100+ Downloads
    Updated 18 March 2022 | Dataset date: July 15, 2020-July 24, 2020
    This dataset updates: Never
    Large-scale flooding and landslides have been triggered in several districts across Nepal following heavy rainfalls in July 2020. From the onset of monsoon on 12 June until 25 July, 130 people lost their lives, 115 were injured and 51 went missing due to floods and landslides according to the National Disaster Risk Reduction and Management Authority.
  • 200+ Downloads
    Updated 16 March 2022 | Dataset date: December 15, 2020-December 15, 2020
    This dataset updates: Every six months
    ACAPS' Humanitarian Access Dataset puts together all the pieces of information on Humanitarian Access Constraints of the first half of 2021. The report resulting from this dataset is the Humanitarian Access Overview, which outlines how access to humanitarian assistance continues to be restricted for crisis-affected populations in more than 60 countries. Data from the dataset is coded according to access dimensions, indicators and sub-indicators, then scored on a 0 to 5 severity scale. The dataset displays: data collected, coded in "log" tab with its "data dictionary" aggregation of data by country, scored per "indicator" country scores (pillars, overall access score and information gaps) in "Scores" tab gis compatible clean tab with ISO codes According to this data, we identified the following: Extreme access constraints (Level 5) for: Eritrea, Libya, Syria, Yemen. Very high access constraints (Level 4) for: Afghanistan, Bangladesh, Cameroon, Democratic Republic of Congo (DRC), Ethiopia, Iraq, Mali, Myanmar, Nigeria, Palestine, Somalia, South Sudan, Venezuela. High access constraints (Level 3) for: Azerbaijan, Burkina Faso, Central African Republic (CAR), Chad, Colombia, Democratic People’s Republic of Korea (DPRK), Honduras, India, Iran, Lebanon, Mozambique, Nicaragua, Niger, Pakistan, Sudan, Turkey, Ukraine. For more information, download the dataset. To access ACAPS' Humanitarian Access Overview, please visit: http://humanitarianaccess.acaps.org/
  • 40+ Downloads
    Updated 11 March 2022 | Dataset date: February 01, 2020-May 20, 2022
    This dataset updates: Every year
    List of urban and rural settlements in Somalia collected through DTM Baseline 2 (B2) exercise. B2 is a component of the Mobility Tracking which aims to quantify presence of population categories, reasons for displacement, length of displacement and needs within defined locations at a given time. The settlement location is collected through GPS devices. Disclaimer: information on settlement type is still being verified. Settlements in Galmudug and Banadir regions may be revised in the coming months due to final data checks.