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  • 100+ Downloads
    Updated 11 August 2022 | Dataset date: February 24, 2022-August 05, 2022
    This data is by request only
    Between 25 July and 5 August the International Organization for Migration (IOM) conducted an Area Baseline assessment of 914 hromadas* hosting IDPs in 19 oblasts and Kyiv city in order to gather initial trends on the number and precise geographic location of officially recorded internally displaced persons. This routine assessment supports the targeting and provision of humanitarian assistance to the affected population and serves as a key source to identifying oblasts and hromadas hosting high numbers of IDPs. IOM compiled information on more than 2,500,000 IDPs in the 19 oblasts Kyiv city covered by Round 9 of DTM Area Baseline.
  • 600+ Downloads
    Updated 9 August 2022 | Dataset date: May 16, 2022-August 05, 2022
    This dataset updates: Every month
    A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.
  • 1300+ Downloads
    Updated 5 August 2022 | Dataset date: March 09, 2022-July 23, 2022
    This dataset updates: Every month
    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.
  • 1300+ Downloads
    Updated 5 August 2022 | Dataset date: January 07, 2020-June 30, 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.
  • 1000+ Downloads
    Updated 5 August 2022 | Dataset date: June 01, 2021-June 30, 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.
  • 6400+ Downloads
    Updated 5 August 2022 | Dataset date: January 01, 2019-July 31, 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
  • 2200+ Downloads
    Updated 5 August 2022 | Dataset date: December 01, 2021-April 09, 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.
  • 12000+ Downloads
    Updated 5 August 2022 | Dataset date: May 09, 2017-April 16, 2022
    This dataset updates: Every six months
    The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level.
  • 7400+ Downloads
    Updated 5 August 2022 | Dataset date: January 01, 2019-March 31, 2022
    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.
  • 500+ Downloads
    Updated 3 August 2022 | Dataset date: February 01, 2022-May 29, 2022
    This dataset updates: Every six 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.
  • 8700+ Downloads
    Updated 3 August 2022 | Dataset date: February 01, 2017-May 07, 2022
    This dataset updates: Every year
    The Dataset contains IDPs, returnees at sub national level.
  • 600+ Downloads
    Updated 3 August 2022 | Dataset date: March 02, 2018-April 18, 2022
    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.
  • 600+ Downloads
    Updated 3 August 2022 | Dataset date: October 01, 2018-April 25, 2022
    This dataset updates: Every year
    The data collection exercise conducted in the villages of Aru, Djugu, Irumu, Mahagi and Mambasa territories. It contains number of IDPs, returnees and theri needs.
  • 700+ Downloads
    Updated 1 August 2022 | Dataset date: September 30, 2019-November 26, 2021
    This dataset updates: Every six months
    Ce jeu de données donne le total des PDIs, retournés et réfugiés, désagrégé par age et par sexe au niveau admin 2.
  • 200+ Downloads
    Updated 28 July 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/
  • 3500+ Downloads
    Updated 21 July 2022 | Dataset date: April 30, 2018-December 31, 2021
    This dataset updates: Every six months
    This dataset contains IDPs, Returnees at sub admin level.
  • 30+ Downloads
    Updated 19 July 2022 | Dataset date: March 15, 2022-August 13, 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
  • 17000+ Downloads
    Updated 15 July 2022 | Dataset date: January 01, 2015-March 30, 2022
    This dataset updates: Every six months
    Data set has IDPs, Households, geographic locations and reasons of displacement etc. In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • Updated 15 July 2022 | Dataset date: June 13, 2022-June 17, 2022
    This dataset updates: Every six months
    Dataset has IDPs, Households, challenges faced by IDPs etc. On 11-13 April, severe flooding and landslides caused by heavy rainfall affected southern and south-eastern South Africa. In response to the need for accurate information on internally displaced persons (IDPs) in South Africa, the International Organization for Migration (IOM) in partnership with the South Africa Red Cross Society and in coordination with provincial and local authorities, deployed teams from June 2022 to conduct baseline assessments at ward level. The project is supporting the Government of South Africa and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 100+ Downloads
    Updated 13 July 2022 | Dataset date: December 04, 2019-May 31, 2022
    This dataset updates: Every six months
    This datasets has IDPs, Household & Returnees data at Admin3 level gathered through DTM Mobility Tracking Assessment.
  • 4900+ Downloads
    Updated 11 July 2022 | Dataset date: November 30, 2017-May 31, 2022
    This dataset updates: Every six months
    This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment. Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
  • 1600+ Downloads
    Updated 6 July 2022 | Dataset date: June 01, 2020-August 13, 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
  • 1200+ Downloads
    Updated 30 June 2022 | Dataset date: January 01, 2019-December 31, 2022
    This dataset updates: Every year
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 1000+ Downloads
    Updated 29 June 2022 | Dataset date: September 01, 2017-September 30, 2021
    This dataset updates: Never
    The dataset contains number of IDPs, Returnees (households and individuals) at sub national levels. Their place of origin and date. The dataset also has sectoral needs information e.g. Shelter, Education etc.
  • 200+ Downloads
    Updated 27 June 2022 | Dataset date: September 04, 2019-December 30, 2021
    This dataset updates: As needed
    The datasets cover the period of 4 September 2019 - 30 December 2021 and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.