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  • 700+ Downloads
    Updated September 19, 2019 | Dataset date: Jan 1, 2019-Sep 18, 2019
    This dataset updates: Every day
    Number of Refugees returning to Afghanistan for the period of 01 January 2019 - 18 September 2019 by district of destination and origin.
  • 700+ Downloads
    Updated September 19, 2019 | Dataset date: Jan 1, 2015-Sep 12, 2019
    This dataset updates: Every year
    The overall INFORM risk index identifies countries at risk from humanitarian crises and disasters that could overwhelm national response capacity. It is made up of three dimensions - hazards and exposure, vulnerability and lack of coping capacity. The INFORM initiative began in 2012 as a convergence of interests of UN agencies, donors, NGOs and research institutions to establish a common evidence-base for global humanitarian risk analysis. INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.
  • 4100+ Downloads
    Updated September 19, 2019 | Dataset date: Sep 19, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • Updated September 19, 2019 | Dataset date: Sep 1, 2018-Sep 15, 2019
    This data is by request only
    Valores estimados de expatriados venezolanos en países de América latina y el caribe a nivel departamental(adm1) y municipal(adm2), recolectados mediante el API de mercadeo de Facebook.
  • 2200+ Downloads
    Updated September 18, 2019 | Dataset date: Sep 17, 2019
    This dataset updates: Every day
    This dataset contains key figures (topline numbers) on the world's most pressing humanitarian crises. The data, curated by ReliefWeb's editorial team based on its relevance to the humanitarian community, is updated regularly. The description of the files and columns can be found in the additional metadata spreadsheet file.
  • 1900+ Downloads
    Updated September 18, 2019 | Dataset date: Aug 4, 2018-Sep 16, 2019
    This dataset updates: Every day
    This Ebola epidemic dataset contains figures on the Ebola cases, deaths and cures in the North Kivu Ebola outbreak of August 2018 in the Democratic Republic of the Congo (DRC).
  • 400+ Downloads
    Updated September 18, 2019 | Dataset date: May 31, 2019
    This dataset updates: Every month
    Topline figures for the Rohingya Displacement event page
  • 40+ Downloads
    Updated September 18, 2019 | Dataset date: Sep 19, 2019
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 100+ Downloads
    Updated September 18, 2019 | Dataset date: Jan 1, 2019-Jun 30, 2019
    This dataset updates: Every month
    This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera). The dataset includes a mix of quantitative and qualitative data. Qualitative data is collected by ACAPS through daily media monitoring, secondary data review, thematic products and discussions with experts in Yemen and the region. ACAPS tracks changes in these indicators and alerts the humanitarian community to emerging trends or risks that could overwhelm local coping mechanisms in Yemen, triggering a humanitarian emergency. This dataset forms the core of ACAPS Yemen Crisis Insight bi-monthly products such as the Yemen: Crisis Impact Overview and Yemen Risk Overview, and ad hoc risk alerts.
  • Updated September 18, 2019 | Dataset date: Jun 1, 2019-Aug 31, 2019
    This data is by request only
    Primary data will be collected by means of a household-level survey designed with the participation of the humanitarian clusters in Somalia. Cluster leads are asked to outline information gaps and the type of data required to inform their strategic plans. Key indicators are developed by REACH with the substantive input of participating partners, and subsequently validated by the clusters. REACH will draft the household survey tool through an iterative consultation process with cluster partners and OCHA and is aligned, as much as possible, with the Joint Inter-Sectoral Analysis Framework (JIAF) which will serve as a common and structured method for assessing the severity of needs across different clusters. The assessment will use stratified cluster sampling at the district level using settlements as the clusters and households as the unit of measurement. For some districts, 2-stage stratified random sampling will be used instead of stratified cluster sampling for large urban centres, if it proves to be more efficient and logistically feasible for data collection. The sample will be stratified by population group, disaggregated by non-displaced communities, and IDP settlements; the sample will be further stratified by district to ensure coverage and comparison across the entire country (with the exception of inaccessible areas). In the case of cluster sampling, the minimum cluster size will be set to 6 households. The sample size will be adjusted for the design effect and will enable generalisation of the results to each of the two population strata in each district, with a 90% confidence level and a 10% margin of error.
  • 10+ Downloads
    Updated September 18, 2019 | Dataset date: Jul 31, 2019
    This dataset updates: Every month
    Consolidated Mozambique 3W/4W (Response Tracking) for the Cyclone Idai and Cyclone Kenneth response until end of July 2019.
  • 100+ Downloads
    Updated September 17, 2019 | Dataset date: Jan 1, 2019-Sep 7, 2019
    This dataset updates: As needed
    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.
  • 2900+ Downloads
    Updated September 17, 2019 | Dataset date: Jan 1, 2017-Aug 31, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 700+ Downloads
    Updated September 17, 2019 | Dataset date: Sep 1, 2018-Aug 31, 2019
    This dataset updates: Every month
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
  • 1300+ Downloads
    Updated September 17, 2019 | Dataset date: Sep 13, 2019
    This dataset updates: As needed
    DTM is tracking in/out movement of displaced people in 4 Provinces hit by IDAI cyclone.
  • 90+ Downloads
    Updated September 17, 2019 | Dataset date: Aug 19, 2019-Sep 3, 2019
    This dataset updates: Every three months
    Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Sudan in 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data sources: UNEP/UNISDR, GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.
  • 20+ Downloads
    Updated September 16, 2019 | Dataset date: Sep 16, 2019
    This dataset updates: Every year
    Bulgaria administrative level 0 (country), 1 (province, capital), and 2 (municipality) boundaries
  • Updated September 16, 2019 | Dataset date: Jan 1, 1992-Dec 31, 2016
    This dataset updates: Every year
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2017
    This dataset updates: Every year
    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.
  • Updated September 16, 2019 | Dataset date: Apr 22, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Sudan in 2018.
  • 7100+ Downloads
    Updated September 16, 2019 | Dataset date: Feb 5, 2019
    This dataset updates: Every month
    Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
  • 200+ Downloads
    Updated September 16, 2019 | Dataset date: Apr 2, 2019
    This dataset updates: As needed
    Simultaneous law enforcement operations of the Armed Forces of the Philippines against non-state armed groups are reported in the provinces of Maguindanao, Lanao del Sur and Sulu since the first half of March 2019. The “Who What Where” or 3W, is vital for efficient coordination. It maintains updated information on WHO (which organizations) are doing WHAT (which activities), WHERE (in which locations) to help coordination of relief efforts to meet the immediate needs of those affected by the conflict. Such information can help to alleviate duplications, identify possible gaps, better inform decision makers, and allow everyone to ask better questions.
  • 70+ Downloads
    Updated September 15, 2019 | Dataset date: Sep 18, 2019
    This dataset updates: Every week
    This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.