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  • 20+ Downloads
    Updated November 16, 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.
  • 2300+ Downloads
    Updated November 16, 2019 | Dataset date: Nov 16, 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.
  • 80+ Downloads
    Updated November 16, 2019 | Dataset date: Nov 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.
  • Updated November 15, 2019 | Dataset date: Nov 15, 2019
    This dataset updates: Live
    This dataset shows reports of attacks on education in Africa and the Middle East from the Armed Conflict Location & Event Data Project (ACLED) as well as social media posts from Twitter about education insecurity identified by the Artificial Intelligence for Digital Response (AIDR) platform.
  • 1300+ Downloads
    Updated November 14, 2019 | Dataset date: Nov 14, 2019
    This dataset updates: Every month
    This set includes data on fatalities in UN peacekeeping operations. It includes a unique casualty identifier, the incident date, the mission acronym, the type of casualty, the ISO code associated with the country of origin of the personnel, the relevant M49 DESA code, the type pf personnel involved, and the type of incident.
  • 400+ Downloads
    Updated November 13, 2019 | Dataset date: Jan 1, 2019-Oct 31, 2019
    This dataset updates: Every month
    The INFORM Global Crisis Severity Index (GCSI) 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
  • Updated November 12, 2019 | Dataset date: Sep 13, 2019
    This dataset updates: Live
    Incidents of insecurity events pulled from the ACLED data API. ACLED was not directly involved in filtering or selecting these events.
  • 1900+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2016-Oct 31, 2019
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 100+ Downloads
    Updated November 6, 2019 | Dataset date: Nov 15, 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.
  • 30+ Downloads
    Updated November 5, 2019 | Dataset date: Dec 5, 2018
    This dataset updates: Every year
    Per CAP Chapeaus and GHOs
  • 40+ Downloads
    Updated November 3, 2019 | Dataset date: Nov 14, 2019
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 10+ Downloads
    Updated October 31, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2019
    This dataset updates: Live
    A live list of all past and present Humanitarian Response Plans, with identifiers for use in International Aid Transparency Initiative (IATI) reporting and elsewhere. The UN and its partners prepare a Humanitarian Response Plan (HRP) plan for a protracted or sudden onset emergency that requires international humanitarian assistance. The plan articulates the shared vision of how to respond to the assessed and expressed needs of the affected population.
  • 50+ Downloads
    Updated October 31, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2018
    This dataset updates: As needed
    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. "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.
  • 80+ Downloads
    Updated October 31, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2018
    This dataset updates: As needed
    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. Contains data from IDMC's Global Internal Displacement Database.
  • 80+ Downloads
    Updated October 30, 2019 | Dataset date: Nov 30, 2017
    This dataset updates: As needed
    Master dataset for resolving HXL "+v" attributes, first introduced in release 1.1. To request new entries or changes to existing ones, please send a message to the public HXL mailing list.
  • 1200+ Downloads
    Updated October 30, 2019 | Dataset date: Jan 1, 2017-Sep 30, 2019
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
  • 100+ Downloads
    Updated October 25, 2019 | Dataset date: Sep 20, 2018
    This dataset updates: Never
    Human Development Indices and Indicators: 2018 Statistical update is being released to ensure consistency in reporting on key human development indices and statistics. With its comprehensive statistical annex, our data gives an overview of the state of development across the world, looking at long-term trends in human development indicators across multiple dimensions and for every nation, the 2018 Update highlights the considerable progress, but also the persistent deprivations and disparities.
  • 100+ Downloads
    Updated October 25, 2019 | Dataset date: Dec 31, 2017
    This dataset updates: Every year
    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.
  • 2700+ Downloads
    Updated October 21, 2019 | Dataset date: Oct 21, 2019
    This dataset updates: Every month
    Peacekeeping Uniformed Contributions by Rank of Troop- or Police-Contributing Country, as of end of last calendar month, associated with unique ID, Country ISO Code, M49 DESA code, Country Name of Troop or Police Contributing country, Rank for the Month, Number of male uniformed personnel, Number of female uniformed personnel, and Monthly report Date. This data set will be updated monthly.
  • 1300+ Downloads
    Updated October 21, 2019 | Dataset date: Oct 21, 2019
    This dataset updates: Every month
    Peacekeeping Uniformed Contributions by Gender, as of end of last calendar month, associated with unique OD, Country ISO Code, M49 DESA code, Country Name of Troop or Police Contributing country, Mission, Description of uniformed category, Gender, and Monthly report Date. This data set will be update monthly.
  • 200+ Downloads
    Updated October 11, 2019 | Dataset date: Sep 2, 2019
    This dataset updates: Live
    This dataset contains an active archive of flood event records from 1985 to present. Details such as the country affected, the number of people killed, the number of people displaced, the cost of damages, and a measure of the magnitude of the flood are included for each flood event. The archive is updated on an ongoing basis and new flood event are added immediately. The information presented in this Archive is derived from news, governmental, instrumental, and remote sensing sources.
  • 800+ 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 11, 2019 | Dataset date: Jan 1, 2017
    This data is by request only
    The UNHCR Livelihoods Monitoring Framework is designed to promote a standardized approach to tracking program performance and impact across countries. The data and the key analysis is available for UNHCR - and externally - financed programs across three primary focus areas – agriculture, self-employment and wage-employment – in terms of assets, employment, market access and more. For more data and analysis, visit at: Integrated Refugee and Forcibly Displaced Livelihoods Information System
  • Updated September 11, 2019 | Dataset date: Jan 1, 2017
    This data is by request only
    The UNHCR Energy Monitoring Framework is designed to promote a standardized approach to tracking program performance and impact across countries. The data and the key analysis is available for UNHCR - and externally - financed programs across 2 primary focus areas – sustainable fuel and cook stoves, and household and community lighting – in terms of distribution, utilization, maintenance and more. For more data and analysis, visit at: Integrated Refugee and Forcibly Displaced Energy Information System
  • Updated September 11, 2019 | Dataset date: Jan 1, 2019
    This data is by request only
    United Nations map (or UNmap, hereafter referred to as the “Data”) is a worldwide geospatial database consisting of country and geographic name information on a global scale. The data is designed for the production of cartographic documents and maps, including their dissemination via public electronic networks, for the Secretariat of the United Nations, as set forth in the Administrative Instruction of the Secretary-General of the United Nations concerning “Guidelines for the Publication of Maps” (ST/AI/189/Add.25/Rev.1).