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  • 600+ Downloads
    Updated November 16, 2018 | Dataset date: May 14, 2015
    This dataset updates: Never
    The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.
  • 80+ Downloads
    Updated November 15, 2018 | Dataset date: Sep 1, 2018-Oct 31, 2018
    This dataset updates: Every month
    This dataset includes incidents affecting the provision of education. The data contains incidents identified in open sources. Categorized by country.
  • 1200+ Downloads
    Updated November 4, 2018 | Dataset date: Jan 1, 2015-Jul 25, 2018
    This dataset updates: Every month
    This collection of datasets is related to the Lake Chad Basin crisis visualization. The collection includes key crisis figures, Number of IDPs and refugees; number of incidents by location; Accessible territories; and data on funding.
  • Updated October 30, 2018 | Dataset date: Jan 1, 1970-Dec 31, 2018
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 10+ Downloads
    Updated October 30, 2018 | Dataset date: Dec 23, 2015
    This dataset updates: Never
    This dataset contains the daily summaries on base stations across Chad. The four indicators included are: TPCP: Total precipitation MXSD: Maximum snow depth TSNW: Total snow fall EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.
  • 300+ Downloads
    Updated October 29, 2018 | Dataset date: Dec 31, 2017
    This dataset updates: Every year
    This data is a snapshot of the humanitarian situation in Chad on December 2017. The data includes the targets that the humanitarian community will use in planning its response in 2018. It also contains the 2017 data.
  • 300+ Downloads
    Updated October 9, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
  • 900+ Downloads
    Updated September 25, 2018 | Dataset date: Jun 1, 2017
    This dataset updates: Every year
    This data enumerates the population of Chad.
  • 3700+ Downloads
    Updated September 20, 2018 | Dataset date: Sep 20, 2018
    This dataset updates: Every three months
    This dataset contains Lake Chad data for the Map Explorer that is derived from other data. WARNING: Derived data - go to original sources! Sources: Lake Chad Administrative Boundaries OCHA ROWCA Online Reporting System ACLED Conflict Data for Africa Realtime ACLED Conflict Data for Africa 1997-2017 OCHA Financial Tracking Service WFP VAM MarketMonitor
  • 400+ Downloads
    Updated September 14, 2018 | Dataset date: Sep 13, 2018
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 60+ Downloads
    Updated September 14, 2018 | Dataset date: Sep 6, 2018
    This dataset updates: Every year
    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.
  • 70+ Downloads
    Updated September 12, 2018 | Dataset date: Jun 7, 2017
    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.
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Jul 16, 2013
    This dataset updates: Never
    African Port Statistics, 2005-2009
  • 70+ Downloads
    Updated September 11, 2018 | Dataset date: Dec 8, 2011
    This dataset updates: Never
    African Development Bank, Food Security, Prices, Monthly, January 1980 - December 2011
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Apr 22, 2014
    This dataset updates: Never
    AfDB Country Policy and Institutional Assessment, 2013
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: May 23, 2016
    This dataset updates: Never
    African Economic Outlook, 1993-2050
  • 70+ Downloads
    Updated September 11, 2018 | Dataset date: Dec 8, 2011
    This dataset updates: Never
    African Development Bank, Food Security, January 1960 - December 2011
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Aug 22, 2013
    This dataset updates: Never
    Economic Community of Central African States Statistics, 2013
  • 200+ Downloads
    Updated September 11, 2018 | Dataset date: Jul 8, 2016
    This dataset updates: Never
    African Financial Survey Database, 2005-2014
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Oct 12, 2015
    This dataset updates: Never
    AFDB Market Trends, January 2011 - July 2015
  • 200+ Downloads
    Updated September 11, 2018 | Dataset date: Aug 20, 2016
    This dataset updates: Never
    AFDB Commodity Prices, Monthly January 1960 - July 2016
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Jan 20, 2016
    This dataset updates: Never
    The AFDB Statistical Data Portal has been developed in response to the increasing demand for statistical data and indicators relating to African Countries. The Portal provides multiple customized tools to gather indicators, analyze them, and export them into multiple formats. With the Data Portal, you can visualize Socio-Economic indicators over a period of time, gain access to presentation-ready graphics and perform comprehensive analysis on a Country and Regional level
  • 200+ Downloads
    Updated September 11, 2018 | Dataset date: Aug 6, 2015
    This dataset updates: Never
    African Development Bank, Bank Operations, 1967 January - 2012 December
  • 100+ Downloads
    Updated September 11, 2018 | Dataset date: Dec 8, 2011
    This dataset updates: Never
    Leadership, innovation and targeted investments in a number of social sectors have led to transformative interventions and in many cases revolutionized people’s lives, says an annual report produced jointly by the Economic Commission for Africa (ECA), the African Union (AU), the African Development Bank (AfDB) and the United Nations Development Programme (UNDP), called “Assessing Progress in Africa Toward the Millennium Development Goals”.
  • 30+ Downloads
    Updated September 10, 2018 | Dataset date: Sep 1, 2018
    This dataset updates: Every year
    Bulletin sur la Production de Biomasse et l’Eau de Surface sur le Sahel, mi-saison d’hivernage 2018. Les données satellitaires utilisées pour cette étude sont issues des mesures provenant depuis 1998 de la série des satellites SPOT-VEGETATION 4 & 5, remplacés en 2014 par PROBA-V. Ces satellites appartiennent au programme de l’agence spatiale européenne ESA. Les données brutes sont traitées et distribuées par l’Institut Flamande pour la recherche Technologique VITO (Belgique) et ensuite analysées à l’aide des outils développés par ACF : BioGenerator et HydroGenerator. BioGenerator permet de quantifier les productions totales annuelles de biomasse végétale, exprimées en kg de matière sèche à l’hectare kg/ha, ainsi que l’anomalie de production en comparaison avec la moyenne calculée sur l’ensemble des années disponibles depuis 1998 sans discontinuité. HydroGenerator permet de suivre statistiquement la présence des points d’eau de surface, et de calculer l’indice d’accessibilité à l’eau de surface et son anomalie par comparaison à la moyenne calculée sur la période 1998 à 2018. Les prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration), administration des Etats-Unis d’Amérique. Le CPC donne accessible publiquement au téléchargement une série de prévisions climatiques sur le globe. Les prévisions de précipitations utilisées sont issues d’une combinaison de plusieurs modèles climatiques. Ces prévisions de moyennes mensuelles des précipitations concernent une période de 4 mois suivant la période initiale, ici août 2018.