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  • 200+ Downloads
    Updated September 21, 2019 | Dataset date: Feb 1, 2019-Sep 20, 2019
    This dataset updates: Every month
    Es un ejercicio de la Cruz Roja Colombia para recoger información sobre asentamientos de migrantes y albergues en Bogotá cruzado con datos recolectados por IMMAP mediante el API de mercadeo de Facebook que representan valores estimados de usuarios que antes vivían en venezuela y ahora su lugar de residencia es Bogotá
  • 2200+ Downloads
    Updated September 20, 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.
  • 10+ Downloads
    Updated September 20, 2019 | Dataset date: May 29, 2019
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • Updated September 20, 2019 | Dataset date: Sep 19, 2019
    This dataset updates: Every six months
    These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.
  • UNOSAT code: FL20190905LAO This map illustrates satellite-detected surface water in Khammouan and Savannakhet Province of Lao PDR as observed from Sentinel-1 imagery acquired on 11 September 2019. Within the analysed extent of about 8,300 km2, a total about 332 km2 of land appear to be flooded as of 11 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 11 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
  • Updated September 20, 2019 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 900+ Downloads
    Updated September 20, 2019 | Dataset date: Sep 20, 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: Jan 1, 1960-Dec 31, 2016
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 10+ Downloads
    Updated September 19, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2017
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 100+ Downloads
    Updated September 19, 2019 | Dataset date: Sep 18, 2019
    This dataset updates: Every week
    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.
  • 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.
  • 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.
  • 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
  • 400+ Downloads
    Updated September 18, 2019 | Dataset date: May 31, 2019
    This dataset updates: Every month
    Topline figures for the Rohingya Displacement event 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.