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  • 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
  • 70+ Downloads
    Updated October 7, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: As needed
    Safety, security and access analysis for emergency response efforts.
  • 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.
  • 50+ Downloads
    Updated September 3, 2019 | Dataset date: Jun 1, 2019-Aug 1, 2019
    This dataset updates: Every three months
    These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during June and July 2019.
  • 300+ Downloads
    Updated July 18, 2019 | Dataset date: Sep 12, 2018
    This dataset updates: Every year
    The Index for Risk Management INFORM is a composite indicator developed by JRC as a tool for understanding the risk of humanitarian crisis and disasters.
  • 200+ Downloads
    Updated July 17, 2019 | Dataset date: Sep 12, 2018
    This dataset updates: Every year
    The regional INFORM Sahel model was initiated by Emergency Response and Preparedness Group of regional Inter-Agency Standing Committee (IASC) and is managed by OCHA. The INFORM model is being used to support the Humanitarian Programme Cycle and coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
  • 1100+ Downloads
    Updated April 21, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains verified submissions from our partner agencies and publicly-reported data for events in which an aid worker was assaulted or injured. Categorized by country.
  • 30+ Downloads
    Updated April 12, 2019 | Dataset date: Apr 12, 2019
    This dataset updates: Live
    Layer provides distribution of landslide hazard, describing by an index of very low to very high hazard. Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.
  • 100+ Downloads
    Updated March 30, 2019 | Dataset date: Mar 1, 2019
    This dataset updates: As needed
    The data is coming from Philippines Institute of Volcanology and Seismology (DOST-PHIVOLCS). It was also available in here: https://gisweb.phivolcs.dost.gov.ph/phivolcs_hazardmaps/?fbclid=IwAR1QpGFhkVl07XTCIEMtpBOG3v4jWV05v_1QhYPNyF2_1n0NsjY3do8TiZk by region.
  • 30+ Downloads
    Updated February 11, 2019 | Dataset date: Sep 28, 2015
    This dataset updates: Every year
    High exposure, High sensitivity and low adaptive capacity leads to high vulnerability. The severity of vulnerability determines the likely impacts to a system that changing climate can have. This data has been developed by RCMRD and Malawi Department of Disaster Management Affairs (DoDMA). SERVIR is a joint USAID-NASA project. For more information on SERVIR, visit http://www.servirglobal.net
  • 90+ Downloads
    Updated October 30, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2013
    This dataset updates: Every six months
    El IRSH está en capacidad de proporcionar a los analistas en el ámbito humanitario, una herramienta de uso general que muestre un resultado a nivel municipal entendido como la probabilidad de que exista una situación de crisis humanitaria enmarcado por las variables asociadas a los factores sociales, económicos, oferta institucional y el conflicto.
  • 70+ Downloads
    Updated September 13, 2018 | Dataset date: Mar 23, 2015
    This dataset updates: Every year
    The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.
  • 70+ Downloads
    Updated September 13, 2018 | Dataset date: May 19, 2017
    This dataset updates: Every year
    The sub national INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
  • 80+ Downloads
    Updated September 13, 2018 | Dataset date: Sep 15, 2015
    This dataset updates: Never
    INFORM Lebanon was developed by the Lebanon Joint Analysis Unit, which supports the Resident/Humanitarian Coordinator and is a collaboration of humanitarian, development and governmental partners that supports cross sectoral planning at the national level. INFORM Lebanon is being embedded in regional processes and coordination mechanisms to help all partners quantify and prioritise humanitarian and disaster risks in Lebanon in the context of the regional Syrian Crisis Response.
  • 60+ Downloads
    Updated September 12, 2018 | Dataset date: May 3, 2015
    This dataset updates: Every year
    The development of the INFORM Colombia model was initiated by OCHA and UNICEF. It is a municipallevel risk index, which identifis threats, vulnerabilities and response capacities throughout the country. The results have been used in the Humanitarian Needs Overview 2016 and by UNICEF planners and donors. The model includes specific components to evaluate risk levels for children and adolescents. Partners are now investigating if the model can be extended to cover additional countries in the region.
  • 90+ Downloads
    Updated September 12, 2018 | Dataset date: May 5, 2017
    This dataset updates: Every year
    INFORM Guatemala is a municipal risk index that identifies risks, threats, vulnerabilities and response capacities in the 340 municipalities of Guatemala. The municipal risk index simplifies information about crisis risk and is comprised of 29 indicators representing the three dimensions of risk: hazard and exposure, vulnerability, and lack of coping capacity. The results of the Guatemala INFORM index will be used by the National Coordination System for Disaster Risk Reduction (CONRED) for its analysis of risk of humanitarian crisis and disasters, municipal response capacities and potential humanitarian needs. Government institutions, civil society and international cooperation organizations can also use the results to focus the design and implementation of development programs and projects. The Guatemala INFORM initiative is supported by UNICEF, OCHA and WFP.
  • 60+ Downloads
    Updated September 12, 2018 | Dataset date: Mar 28, 2018
    This dataset updates: Every year
    The INFOM Honduras tool has been implemented and will be updated by the Permanent Contingency Commission (COPECO). COPECO and other government institutions will jointly implement the INFORM initiative in the context of the National Risk Management System (SINAGER). The national Humanitarian Network, Civil Society Organizations, Academic institutions, and the Association of Municipalities of Honduras (AMHON) will also collaborate with the initiative.
  • 70+ Downloads
    Updated July 21, 2018 | Dataset date: Jul 22, 2018
    This dataset updates: Every month
    Flood-affected populations by settlement type as of June 2018. The dataset presents the data to LGA level (Admin 2) in all the three crisis-affected states of north eastern Nigeria, thus Borno, Yobe and Adamawa. The affected populations include households and individuals. The settlement types include Households in IDP Camps, Households in Host Communities and provides a computation of affected people by settlement type; Camp flood risk mapping as of June 2018. The dataset presents the data to LGA level (Admin 2) in IDP camps across all the three crisis-affected states of north eastern Nigeria, thus Borno, Yobe and Adamawa; Host Community flood risk analysis and mapping as of June 2018. Also includes a CSV file on Flood-affected populations by settlement type as of June 2018.
  • 200+ Downloads
    Updated July 17, 2018 | Dataset date: Dec 31, 2016
    This dataset updates: Every year
    The subnational INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region. INFORM identifies areas 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 regional subnational INFORM model for Caucasus and Central Asia is developed at the first administrative level (corresponding to the provinces/oblasts/regions and few independent cities) of the eight countries in South Caucasus and Central Asia. 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.
  • 1900+ Downloads
    Updated July 11, 2018 | Dataset date: Apr 1, 2016-Jun 30, 2016
    This dataset updates: Never
    This database contains information about road accidents happening in Kenya
  • 100+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    El indicador estima el porcentaje de población adulta alfabetizada que es capaz de usar palabras escritas en la vida diaria y de continuar aprendiendo. Refleja el logro acumulado de la educación en la difusión de la alfabetización.
  • 60+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    La tasa de cobertura de la población en edad de estudiar en ese grado especifico.
  • 80+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    La tasa de cobertura de la población en edad de estudiar en ese grado especifico.
  • 70+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    La tasa de cobertura promedio de la población en edad de estudiar en ciclo I y II.
  • 70+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    Describe la proporción estudiante-maestro en el sistema de educativo pre básica, ciclo común y media.