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  • 2200+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-March 16, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 16 April 2023
    This dataset updates: Every month
    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.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-March 08, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Zimbabwe. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 8 February 2024
    This dataset updates: Every year
    Historical and twenty-first century crop production in tons. Global gridded (4km resolution) crop yield simulations for maize, rice, soybean, and wheat, encompassing an ensemble of transient yield simulation output from eight global gridded crop models driven by bias-corrected output from five global climate models, as facilitated by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP, isimip.org)
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-March 08, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Belgium. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • COD+ 12000+ Downloads
    Time Period of the Dataset [?]: November 17, 2020-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 17 August 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Nepal administrative level 0-3 boundaries and gazetteer LAYERS UPDATED MARCH 2024. Live services will be updated shortly to correspond Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These administrative level 0-2 layers are suitable for database or GIS linkage to the Nepal - Subnational Population Statistics tables using the ADM0, ADM1, and ADM2_PCODE fields. Official site for Nepali boundary information: Ministry of Land Management, Cooperatives and Poverty Alleviation, Survey Department [http://dos.gov.np/downloads/nepal-map] (Unsecure link.)
  • 2800+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-March 11, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 20 May 2020
    This dataset updates: Every week
    Aggregated figures for Natural Disasters in EM-DAT Documentation on the Country Profiles available here More on the EM-DAT database : website / data portal Each line corresponds to a given combination of year, country, disaster subtype and reports figures for : number of disasters total number of people affected total number of deaths economic losses (original value and adjusted)
  • 80+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 28 April 2020
    This dataset updates: Live
    This dataset is part of the data series [?]: OCHA FTS - Humanitarian Response Plan Projects
    Projects proposed, in progress, or completed as part of the annual Madagascar Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Important: some projects in Madagascar might be missing, and others might not apply specifically to Madagascar. See Caveats under the Metadata tab.
  • Time Period of the Dataset [?]: February 01, 2017-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    Malawi Most Likely in 6 months FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2021.
  • 50+ Downloads
    Time Period of the Dataset [?]: June 11, 2021-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 18 May 2022
    This dataset updates: Every week
    This dataset is part of the data series [?]: FEWS NET - Staple Food Price Data
    South Sudan Weekly staple food price data collected by FEWS NET since 2021.
  • 300+ Downloads
    Time Period of the Dataset [?]: November 01, 2012-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 15 November 2022
    This dataset updates: Live
    The Aid Worker Security Database (AWSD) records major incidents of violence against aid workers, with incident reports from 1997 through the present. Initiated in 2005, to date the AWSD remains the sole comprehensive global source of these data, providing the evidence base for analysis of the changing security environment for civilian aid operations.
  • 3800+ Downloads
    Time Period of the Dataset [?]: January 15, 1990-March 15, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 27 August 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 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.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2024-March 17, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 23 January 2024
    This dataset updates: Every week
    Number of Refugees returning to Afghanistan for the period of 01 January 2024 to 17 March 2024 by province of destination and origin.
  • 1800+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-February 28, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 28 February 2021
    This dataset updates: As needed
    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).
  • Time Period of the Dataset [?]: October 01, 2022-March 19, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: Every day
    A list of Government-Provided Justice and Corrections Personnel across peacekeeping operations and special political missions by gender and contributing country.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 31, 2017-March 19, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 18 May 2022
    This dataset updates: Every week
    This dataset is part of the data series [?]: FEWS NET - Staple Food Price Data
    Congo, The Democratic Republic of the Weekly staple food price data collected by FEWS NET since 2017.
  • 50+ Downloads
    Time Period of the Dataset [?]: December 14, 2021-December 14, 2021 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 3 January 2017
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 200+ Downloads
    Time Period of the Dataset [?]: June 19, 2022-June 19, 2022 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 21 October 2016
    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.
  • 23000+ Downloads
    Time Period of the Dataset [?]: January 08, 2020-December 31, 2023 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 15 April 2020
    This dataset updates: Every week
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 90+ Downloads
    Time Period of the Dataset [?]: January 06, 2007-March 19, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 2 August 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: Water Point Data Exchange - Country Data
    WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the WPdx Data Standard to create a robust analysis-ready dataset. There are two primary datasets available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the WPdx Decision Support tools and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below. The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age. The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses. A data dictionary describing each parameter included in each file is available in the Data and Resources section. To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to info@waterpointdata.org
  • 7300+ Downloads
    Time Period of the Dataset [?]: December 01, 2019-March 12, 2024 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 27 March 2020
    This dataset updates: Live
    Data Overview This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Concentric by Ginkgo, the biosecurity and public health unit of Ginkgo Bioworks ("Concentric”) at help-epi-modeling@ginkgobioworks.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Concentric’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Concentric maintains a database of epidemiological information for over three thousand high-priority infectious disease events (please note: this database was previously maintained by Metabiota; the team responsible joined Concentric by Ginkgo in August 2022. When using the database, please cite Concentric and refer to this repository). Please contact us (help-epi-modeling@ginkgobioworks.com) if you are interested in licensing the complete dataset. Cumulative vs. Non-Cumulative Incidence Reporting sources provide either cumulative incidence, non-cumulative incidence, or both. If the source only provides a non-cumulative incidence value, the cumulative values are inferred using prior reports from the same source. Use the CUMULATIVE FLAG variable to subset the data to cumulative (TRUE) or non-cumulative (FALSE) values. Case Confirmation Status The incidence datasets include the confirmation status of cases and deaths when this information is provided by the reporting source. Subset the data by the CONFIRMATION_STATUS variable to either TOTAL, CONFIRMED, SUSPECTED, or PROBABLE to obtain the data of your choice. Total incidence values include confirmed, suspected, and probable incidence values. If a source only provides suspected, probable, or confirmed incidence, the total incidence is inferred to be the sum of the provided values. If the report does not specify confirmation status, the value is included in the "total" confirmation status value. The data provided under the "Multisource Fusion" often does not include suspected incidence due to inconsistencies in reporting cases and deaths with this confirmation status. Outcome - Cases vs. Deaths The incidence datasets include cases and deaths. Subset the data to either CASE or DEATH using the OUTCOME variable. It should be noted that deaths are included in case counts. Spatial Resolution Data are provided at multiple spatial resolutions. Data should be subset to a single spatial resolution of interest using the SPATIAL_RESOLUTION variable. Information is included at the finest spatial resolution provided to the original epidemic report. We also aggregate incidence to coarser geographic resolutions. For example, if a source only provides data at the province-level, then province-level data are included in the dataset as well as country-level totals. Users should avoid summing all cases or deaths in a given country for a given date without specifying the SPATIAL_RESOLUTION value. For example, subset the data to SPATIAL_RESOLUTION equal to "AL0” in order to view only the aggregated country level data. There are differences in administrative division naming practices by country. Administrative levels in this dataset are defined using the Google Geolocation API (https://developers.google.com/maps/documentation/geolocation/). For example, the data for the 2019-nCoV from one source provides information for the city of Beijing, which Google Geolocations indicates is a "locality.” Beijing is also the name of the municipality where the city Beijing is located. Thus, the 2019-nCoV dataset includes rows of data for both the city Beijing, as well as the municipality of the same name. If additional cities in the Beijing municipality reported data, those data would be aggregated with the city Beijing data to form the municipality Beijing data. Sources Data sources in this repository were selected to provide comprehensive spatiotemporal data for each outbreak. Data from a specific source can be selected using the SOURCE variable. In addition to the original reporting sources, Concentric compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name "Multisource Fusion". The purpose of generating this new view of the outbreak is to provide the most accurate and precise spatiotemporal data for the outbreak. At this time, Concentric does not incorporate unofficial - including media - sources into the "Multisource Fusion" dataset. Quality Assurance Data are collected by a team of digital surveillance experts and undergo many quality assurance tests. After data are collected, they are independently verified by at least one additional analyst. The data also pass an automated validation program to ensure data consistency and integrity. NonCommercial Use License Creative Commons License Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) This is a human-readable summary of the Legal Code. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. With the understanding that: Waiver — Any of the above conditions can be waived if you get permission from the copyright holder. Public Domain — Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license. Other Rights — In no way are any of the following rights affected by the license: Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations; The author's moral rights; Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights. Notice — For any reuse or distribution, you must make clear to others the license terms of this work. The best way to do this is with a link to this web page. For details and the full license text, see http://creativecommons.org/licenses/by-nc-sa/3.0/ Liability The information is provided “AS IS” and Concentric makes no representations or warranties, express or implied, of any type whatsoever including, without limitation, title, noninfringement, accuracy, completeness, merchantability, or fitness for any particular purpose. Use of proprietary information shall be at the user’s own risk, and Concentric assumes no liability or obligation to the user as a result of use. Concentric shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Concentric be liable for any damages (whatsoever) arising out of the use or inability to use the database. The entire risk arising out of the use of the database remains with the user.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-December 31, 2024 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 13 March 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: IFRC - Appeals
    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-December 31, 2017 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 16 May 2023
    This dataset updates: Every month
    This dataset is part of the data series [?]: WHO - WHO Health Indicators
    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, Neglected tropical diseases, TOBACCO, Nutrition, World Health Statistics, Health financing, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Urban health, Child mortality, Noncommunicable diseases, Noncommunicable diseases CCS, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, Organ transplants, Tobacco raise taxes, Electromagnetic fields, International Health Regulations (2005) monitoring framework, Postnatal care, Insecticide resistance, Substance abuse, Lead paint, Neglected Tropical Diseases, ORALHEALTH, Universal Health Coverage, Adolescent mortality, Maternal, newborn, child and adolescent healthand ageing, Education, UNICEF indicators, Financial Protection, Maternal and reproductive health, Research and Development, Country policy, SDG targets, Global Observatory for eHealth (GOe), Antimicrobial Surveillance, 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, FINANCIAL PROTECTION - IMPOVERISHMENT, Dementia, Health Expenditure, AMR GLASS, Noncommunicable diseases and mental health, Risk factors: Radon, Health workforce, International Health Regulations, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Family Planning, Immunization, Air pollution, Nutrition Landscape Information System, NLIS, Care Seek, Assistive Technology, Health policy, Hemoglobin level, Foodborne Diseases, Hazards impact on health, WASH, AMC GLASS, Electrification of health care facilities, Medical Devices, Prison data, Climate Change Survey, Child Mortality For links to individual indicator metadata, see resource descriptions.
  • 10+ Downloads
    Time Period of the Dataset [?]: October 01, 2017-March 19, 2024 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 4 October 2022
    This dataset updates: Every month
    This dataset is part of the data series [?]: FEWS NET - Most Likely Acutely Food Insecure Population Estimates Data
    Madagascar Most Likely FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2019.
  • 10+ Downloads
    Time Period of the Dataset [?]: April 30, 2005-March 19, 2024 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 25 August 2022
    This dataset updates: Every month
    This dataset is part of the data series [?]: FEWS NET - Cross Border Trade Data
    South Africa Monthly cross border trade data collected by FEWS NET since 2005.
  • 60+ Downloads
    Time Period of the Dataset [?]: May 06, 2020-May 06, 2020 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: Every day
    This includes layers for detectable thermal activity from VIIRS satellites for the last 7 days and MODIS satellites for the last 48 hours. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, while MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), both a part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. The application includes live feed sources for US wildfire reports (I-209), perimeters, MODIS hot spots, wildfire conditions / red flag warnings, wildfire potential and weather radar. Each of these layers provides insight into where a fire is located, its intensity and the surrounding areas susceptibility to wildfire.