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  • 5900+ Downloads
    Updated April 1, 2020 | Dataset date: Apr 1, 2020
    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.
  • 100+ Downloads
    Updated March 29, 2020 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 6200+ Downloads
    Updated March 29, 2020 | Dataset date: Jan 1, 1990-Mar 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 1000+ Downloads
    Updated March 29, 2020 | Dataset date: Jan 15, 2006-Feb 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for South Sudan. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 100+ Downloads
    Updated March 29, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2020
    This dataset updates: As needed
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
  • 100+ Downloads
    Updated March 28, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: As needed
    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
  • 200+ Downloads
    Updated March 28, 2020 | Dataset date: Jan 1, 2011-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. "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.
  • 600+ Downloads
    Updated March 27, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2018
    This dataset updates: As needed
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS Coordination, AMR GLASS Surveillance, AMR GLASS Quality assurance, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD For links to individual indicator metadata, see resource descriptions.
  • 10+ Downloads
    Updated March 24, 2020 | Dataset date: Jan 1, 2020-Jan 31, 2020
    This dataset updates: As needed
    IOM DTM’s Flow Monitoring Registry (FMR) surveys people’s movement through key transit points within South Sudan and at its borders.
  • 2200+ Downloads
    Updated March 23, 2020 | Dataset date: Jan 1, 2016-Feb 29, 2020
    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.
  • 1500+ Downloads
    Updated March 20, 2020 | Dataset date: Jan 1, 2017-Feb 29, 2020
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 1400+ Downloads
    Updated March 14, 2020 | Dataset date: Jan 1, 2019-Feb 29, 2020
    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 and with links to relevant Monthly News Brief.
  • 4600+ Downloads
    Updated March 12, 2020 | Dataset date: Jan 1, 2015-Feb 29, 2020
    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.
  • 90+ Downloads
    Updated March 10, 2020 | Dataset date: Aug 1, 2019-Jul 31, 2020
    This dataset updates: Every year
    In the analysis period of January 2020, 5.29 million people (45.2% of the population) are estimated to have faced Crisis (IPC Phase 3) or worse acute food insecurity, of which 1.11 million people faced Emergency (IPC Phase 4) acute food insecurity. About 40,000 people were classified in Catastrophe (IPC Phase 5) in the counties of Akobo , Duk and Ayod in Jonglei State. Compared with the same time last year, the January 2020 levels of food insecurity reflect a 9% reduction in the proportion of population facing Crisis (IPC Phase 3) or worse acute food insecurity. In the projection period of February to April 2020, 6.01 million people (51.4% of the population) will likely face Crisis (IPC Phase 3) or worse acute food insecurity, with 20,000 people in the counties of Akobo and Duk estimated to be in Catastrophe (IPC Phase 5). In the projection period of May to July 2020, 6.48 million people (55.4% of the population) will face Crisis (IPC Phase 3) or worse acute food insecurity, which is 5% lower than was projected for the 2019 lean season. Immediate scale-up of humanitarian food assistance is needed to save lives and avert total collapse of livelihoods in the affected counties particularly those with populations in Catastrophe (Phase 5) and Emergency (Phase 4). For more visit: http://www.ipcinfo.org/ipc-country-analysis/details-map/en/c/1152422/?iso3=SSD
  • 90+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 23, 2015
    This dataset updates: Never
    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.
  • 600+ Downloads
    Updated March 10, 2020 | Dataset date: Dec 5, 2016
    This dataset updates: Every year
    Global Humanitarian Overview 2017 Figures
  • 1000+ Downloads
    Updated March 6, 2020 | Dataset date: Mar 6, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 80+ Downloads
    Updated March 6, 2020 | Dataset date: Jan 1, 2020-Dec 31, 2020
    This dataset updates: Every year
    South Sudan Humanitarian Needs Overview HNO 2020
  • 2300+ Downloads
    Updated March 6, 2020 | Dataset date: Dec 12, 2016-Dec 31, 2020
    This dataset updates: Every year
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
  • 20+ Downloads
    Updated March 3, 2020 | Dataset date: Mar 6, 2020
    This dataset updates: Every year
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • Updated March 1, 2020 | Dataset date: Apr 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: aeroway building source addr:full addr:city operator:type capacity:persons emergency:helipad name emergency This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 70+ Downloads
    Updated March 1, 2020 | Dataset date: Apr 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: tourism beds opening_hours source man_made addr:housenumber addr:street addr:city shop amenity addr:full name rooms This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated March 1, 2020 | Dataset date: Apr 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: building source port addr:city amenity operator:type addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated March 1, 2020 | Dataset date: Apr 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: blockage width source natural waterway water tunnel covered depth layer name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated March 1, 2020 | Dataset date: Apr 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: healthcare healthcare:speciality building source addr:city amenity operator:type capacity:persons addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.