• Updated 18 September 2021 | Dataset date: November 16, 2020-September 19, 2021
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users that were identified to have moved in the past year and aims to capture principal motivations for the relocation. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
    200+ Downloads
    This dataset updates: Every day
  • Updated 17 September 2021 | Dataset date: May 01, 2015-August 31, 2021
    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.
    8300+ Downloads
    This dataset updates: Every month
  • The dataset contains IDPs, returnees at sub national level. The dataset also has reason of displacement, origin and dates of multiple displacements. The context of displacement in Mali remains complex and fluid. Movements of IDPs currently residing in the southern regions to the northern regions continue to be reported. While some have indicated that they have returned definitively, other IDPs say they travel back and forth between the place of travel and the place of origin.
    7400+ Downloads
    This dataset updates: Every three months
  • Updated 15 September 2021 | Dataset date: June 01, 2021-June 30, 2021
    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.
    100+ Downloads
    This dataset updates: Every month
  • Updated 15 September 2021 | Dataset date: January 29, 2020-January 29, 2020
    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.
    500+ Downloads
    This dataset updates: Every month
  • Updated 9 September 2021 | Dataset date: January 01, 2019-August 31, 2021
    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
    4400+ Downloads
    This dataset updates: Every month
  • Updated 8 September 2021 | Dataset date: January 20, 2020-August 31, 2021
    The dataset contains households and individual number of returnees at village level. The dataset is gender and age dis-aggregated with category of returnees i.e. IDPs or Refugees.
    700+ Downloads
    This dataset updates: Every year
  • Updated 8 September 2021 | Dataset date: January 20, 2020-August 31, 2021
    The dataset contains IDPs by state and year
    500+ Downloads
    This dataset updates: Every year
  • Updated 7 September 2021 | Dataset date: June 01, 2020-September 19, 2021
    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
    600+ Downloads
    This dataset updates: Every month
  • Updated 5 September 2021 | Dataset date: July 14, 2020-September 23, 2020
    The eighth round of Iraq's Multi-Cluster Needs Assessment (MCNA) conducted by REACH Initiative in close coordination with the Assessment Working Group (AWG), UN OCHA, and the Inter-Cluster Coordination Group (ICCG), seeks to understand multi-sectoral priority needs of conflict-affected populations living across the whole of Iraq. Between July 14 and September 23, 2020, a total of 9,634 in-camp IDP, out of camp IDP, and returnee households were assessed in a total of 61 districts in Iraq (including 40 formal camps).
    This data is by request only
  • Updated 5 September 2021 | Dataset date: June 09, 2021-August 16, 2021
    The ninth round of Iraq's Multi-Cluster Needs Assessment (MCNA) conducted by REACH Initiative in close coordination with the Assessment Working Group (AWG), UN OCHA, Inter-Cluster Coordination Group (ICCG) and partners for data collection, seeks to understand multi-sectoral priority needs of conflict-affected populations living across the whole of Iraq. Between June 09 and August 16, 2021, a total of 11645 in-camp IDP, out of camp IDP, and returnee households were assessed in a total of 64 districts in Iraq (including 27 formal camps). with thanks to Action Against Hunger, Al Khiamiat for Agricultural Development and Guidance, Ankawa Humanitarian Committee, Arbeiter-Samariter-Bund Deutschland e.V. , Caritas, Human Imprint Organisation, Humanity & Inclusion, International Rescue Committee, International Organization for Migration, Iraq Health Access Organisation, Jesuit Refugee Service, Kurdistan Save the Children, Mercy Corps, Mission East, Norwegian Refugee Council, Pekawa Organisation, Save the Children, Terre des Hommes, World Vision, and Youth Save Organisation for supporting REACH in household data collection.
    This data is by request only
  • Updated 16 August 2021 | Dataset date: May 05, 2019-June 30, 2021
    The dataset contains IDPs at site level.
    100+ Downloads
    This dataset updates: As needed
  • Updated 16 August 2021 | Dataset date: November 15, 2020-April 30, 2021
    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.
    3500+ Downloads
    This dataset updates: Every six months
  • Updated 5 August 2021 | Dataset date: July 14, 2021-July 31, 2021
    This dataset contains the household-level survey on IDP intentions for the Northern Ethiopia Crisis. The survey was completed for Mekelle, Shire, Adwa, Axum, Sheraro, Adigrat and Abi Adi. It covers IDPs in both collective centres and host community and contains sections on: - demographics and needs, - durable solutions (origin, preferred solution, return needs), - specific needs and - participation and accountability. The survey was a collaboration between the CCCM Cluster, other clusters and the following agencies: OSSHD; CRS; Samaritan's Purse, GOAL; RADO; UNHCR; IOM; IHS; FAO; ACF and others. Technical support provided by IOM's DTM.
    This data is by request only
  • Updated 19 July 2021 | Dataset date: July 19, 2021-September 19, 2021
    la valeur pour les personnes déplacées est calculé pour une période de 24 mois sur la date d'évaluation
    40+ Downloads
    This dataset updates: Every month
  • Updated 19 July 2021 | Dataset date: December 15, 2020-December 15, 2020
    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/
    100+ Downloads
    This dataset updates: Every six months
  • At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.
    10+ Downloads
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: November 08, 2015-December 04, 2015
    Kakuma Refugee Camp is one of the longest-standing humanitarian settlements in sub-Saharan Africa and one of the largest refugee camps in the world. In response to recent reductions in funding for the Kenyan refugee operation, increased global competition for funds, and a common belief that not all refugees in such protracted situations have the same humanitarian assistance needs, UNHCR and WFP decided to undertake a study among refugees in Kakuma Camp. The main aims were to fill knowledge gaps regarding refugee livelihoods and the level and differences of vulnerability in refugee households, as well as to explore the feasibility of delivering more differentiated assistance and to identify the mechanisms that would need to be put in place to do so. Specifically, the study was meant to determine whether a permanent targeting mechanism could be put in place or whether other ways of prioritising assistance exist when resources are tight. The survey covered 2,000 households and was implemented in November/December 2015.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: June 17, 2017-August 04, 2017
    The long-term presence of refugees in Chad and the reduction in funding to provide assistance in recent years have led the humanitarian community to reconsider the approach to assistance of these populations. WFP and UNHCR, the Government's main partners in providing assistance to refugees, had conducted a "socio-economic categorization" in 2014 and 2015 in some refugee camps, and an update was decided for 2017. This update was designed to go beyond a simple categorization and focuses on identifying profiles of refugee households that can be empowered in the short to medium term and the factors that can foster this empowerment. The assessment covers 87,724 refugee households in Chad and was carried out during June-August 2017.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: October 01, 2014-February 28, 2015
    In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.
    This dataset updates: Never
  • Updated 30 June 2021 | Dataset date: June 01, 2021-June 01, 2021
    Pakistan district wise Total IDPs from areas of origin and by host location
    50+ Downloads
    This dataset updates: Every six months
  • Updated 23 June 2021 | Dataset date: June 18, 2020-June 18, 2020
    This dataset contains 22 data tables on global trends in forced displacement in 2019. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
    100+ Downloads
    This dataset updates: As needed
  • Updated 22 June 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset contains 22 data tables on global trends in forced displacement in 2020. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
    30+ Downloads
    This dataset updates: As needed
  • The dataset contains IDPs, Returnees and host community at sub-national level.
    300+ Downloads
    This dataset updates: Every six months
  • Updated 30 May 2021 | Dataset date: January 01, 2009-December 31, 2020
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
    500+ Downloads
    This dataset updates: Every year