• Updated 13 January 2022 | Dataset date: October 10, 2021-October 10, 2021
    The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in Burundi at Admin 1.
    1700+ Downloads
    This dataset updates: Every six months
  • These data consist of modelled gridded population estimates produced at a spatial resolution of approximately 100m across the Haut-Katanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (DRC). The estimates comprise total population counts created using a Bayesian statistical model and post-hoc breakdowns in 40 age and sex groups. The main input data were derived from a dedicated microcensus survey carried out in the targeted provinces throughout March and April 2021. The microcensus was led by the Flowminder Foundation, the École de Santé Publique de Kinshasa, the WorldPop Research Group at the University of Southampton and the Bureau Central du Recensement, which is part of the Institut National de la Statistique of the DRC. Other essential input data include metrics derived from building footprints, which were automatically delineated by Ecopia.AI in 2021 using satellite imagery collected by Maxar Technologies between 2010 and 2021. The modelled population estimates represent the period of the microcensus but their consistency may be impacted by the accuracy of the building footprints, particularly in the areas where the satellite imagery used for automatic delineation was outdated. These data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 Mapping for Health Project. This project was delivered under the leadership of the Ministry of Public Health, Hygiene and Prevention of the DRC and funded by Gavi, the Vaccine Alliance (RM 867204 20A2). The project was led by the Flowminder Foundation and the Center for International Earth Science Information Network (CIESIN) at Columbia University, in collaboration with the WorldPop Research Group at the University of Southampton and national partners including, but not limited to, the École de Santé Publique de Kinshasa and both the Bureau Central du Recensement and the Institut National de la Statistique. This work was a continuation of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) programme funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). The study was approved by the Faculty Ethics Committee of the University of Southampton (ERGO II 62716). The production of these data was led by Gianluca Boo (WorldPop](https://www.worldpop.org/) ) with support from Roland Hosner (Flowminder Foundation), Pierre Z Akilimali (École de Santé Publique de Kinshasa), Edith Darin (WorldPop), Heather R Chamberlain (WorldPop), Warren C Jochem (WorldPop), Patricia Jones (WorldPop), Roger Shulungu Runika (Institut National de la Statistique), Henri Marie Kazadi Mutombo (Bureau Central du Recensement), Attila N Lazar (WorldPop) and Andrew J Tatem (WorldPop). The authors acknowledge the support of their respective institutions in the completion of this work. Recommended citation: G Boo, R Hosner, PZ Akilimali, E Darin, HR Chamberlain, WC Jochem, P Jones, R Shulungu Runika, HM Kazadi Mutombo, AN Lazar and AJ Tatem. 2021. Modelled gridded population estimates for the HautKatanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (2021), version 3.0. WorldPop, University of Southampton, Flowminder Foundation, École de Santé Publique de Kinshasa, Bureau Central du Recensement and Institut National de la Statistique. doi:10.5258/SOTON/WP00720
    This dataset updates: As needed
  • Updated 13 January 2022 | Dataset date: January 01, 2021-December 31, 2021
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
    100+ Downloads
    This dataset updates: As needed
  • Updated 13 January 2022 | Dataset date: January 13, 2022-January 25, 2022
    Costa Rica administrative level 0-3 2021 boundaries These layers are suitable for database or GIS linkage to the Costa Rica - Subnational Population Statistics tables.
    600+ Downloads
    This dataset updates: Every year
  • Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently. The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker
    6300+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: December 14, 2020-January 17, 2022
    Immunization campaigns impacted due to COVID-19
    1000+ Downloads
    This dataset updates: Live
  • Updated 12 January 2022 | Dataset date: January 05, 2022-January 25, 2022
    South Sudan administrative level 0-2 2022 population estimates. REFERENCE YEAR: 2022 Dataset updated by OCHA 2020. This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020. These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.
    1700+ Downloads
    This dataset updates: Every year
  • DTM is tracking in/out movement of displaced people in 4 Provinces hit by IDAI cyclone.
    6200+ Downloads
    This dataset updates: Never
  • Updated 12 January 2022 | Dataset date: August 17, 2020-January 25, 2022
    Admin Level 1 Boundaries (Provinces) and Admin Level 2 Boundaries (Districts) of São Tomé and Principé REFERENCE YEAR: 2020 The dataset represents the provinces and districts of São Tomé and Principé with harmonized PCODE of ROWCA and Humanitarian Response pcodes. These boundaries are suitable for database or GIS linkage to the Sao Tome and Principe - Subnational Population Statistics.
    1500+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: December 15, 2020-January 25, 2022
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
    1300+ Downloads
    This dataset updates: Live
  • Updated 11 January 2022 | Dataset date: June 01, 2020-January 25, 2022
    This study includes information on the population of all cities and towns outside the control of the Regime in Syria. The study is updated monthly, in that IMU enumerators of ACU track the population in all areas outside the control of the regime, along with movements of displacement and return on a permanent basis. This study also presents the total number of population and gender ratio, the total number of IDPs and the types of shelters in which they are settled, the number of newly displaced people during the last month and the types of shelters in which they are settled, the number of those who left and the reasons that forced them to leave their home towns, the number of returnees during the last month with their most critical needs. The Study presents information on the situation of the local councils in areas to which the residents returned during the past month, availability of basic services in areas of return, evaluation of these services, decision-makers and primary service providers, and sources of income for returnees. The study data can be shown at different levels through the filter bar at the top of the page; it is also possible to display the graphic figures at three levels (district - sub-district - community) through the buttons at the bottom of the figures. Maps can be shown at two levels (district - sub-district) through the two buttons at the bottom of the map. Data can be downloaded from the last page of the study. For more details, please contact us through IMU email address: imu@acu-sy.org
    1000+ Downloads
    This dataset updates: Every month
  • Updated 11 January 2022 | Dataset date: June 01, 2017-January 25, 2022
    This dashboard highlights the living situation in Syria by showing the prices of basic market items. How to use this product: The first three pages track price change chronologically on governorate level, with ability to compare between them by choosing one or more. The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
    5300+ Downloads
    This dataset updates: Every month
  • Updated 11 January 2022 | Dataset date: January 01, 2022-December 31, 2022
    Turkey Refugee Camps
    600+ Downloads
    This dataset updates: Every year
  • Updated 11 January 2022 | Dataset date: January 01, 2022-December 31, 2022
    Turkey Rivers
    600+ Downloads
    This dataset updates: Every year
  • Updated 11 January 2022 | Dataset date: January 20, 2020-November 01, 2021
    The dataset contains IDPs by state and year.
    1100+ Downloads
    This dataset updates: Every year
  • Updated 11 January 2022 | Dataset date: May 06, 2020-October 08, 2021
    This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
    200+ Downloads
    This dataset updates: Every day
  • Updated 11 January 2022 | Dataset date: December 31, 2019-September 23, 2020
    The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries. The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff. The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include: • Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines • Policy-related: government coordination and legal authorization, public communications and education, movement restrictions • Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces • Economic measures: economic and social measures, logistics / supply chains and security. We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database. Comments on the data can be submitted to covid.database.comments@dalberg.com Questions can be submitted to covid.database.questions@dalberg.com www.dalberg.com
    2000+ Downloads
    This dataset updates: Every two weeks
  • Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA Productions annuelles de biomasse et anomalies en Afrique de l'Ouest de 1999 à 2021 : version raster Production annuelle de biomasse et anomalies extraites du DMP et calculées par BioGenerator Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Le produit est basé sur les données de PROBA-V (©) et SPOT-VEGETATION (©) ESA
    800+ Downloads
    This dataset updates: Every year
  • Updated 10 January 2022 | Dataset date: February 05, 2019-February 05, 2019
    Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
    19000+ Downloads
    This dataset updates: As needed
  • Updated 10 January 2022 | Dataset date: January 01, 2022-January 04, 2022
    Number of Refugees returning to Afghanistan for the period of 01 January 2021 to 04 January 2022 by district of destination and origin.
    30+ Downloads
    This dataset updates: Every week
  • Updated 9 January 2022 | Dataset date: January 01, 1991-December 31, 2019
    Prices for Zimbabwe. Contains data from the FAOSTAT bulk data service covering the following categories: Deflators, Exchange rates - Annual, Producer Prices
    1100+ Downloads
    This dataset updates: Every year
  • Updated 9 January 2022 | Dataset date: January 01, 2021-December 31, 2021
    Number of Refugees returning to Afghanistan for the period of 01 January 2021 to 31 December 2021 by district of destination and origin.
    1000+ Downloads
    This dataset updates: Every week
  • Updated 7 January 2022 | Dataset date: October 18, 2021-December 05, 2021
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province du Nord-Kivu. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.
    300+ Downloads
    This dataset updates: Every three months
  • Updated 7 January 2022 | Dataset date: October 15, 2020-January 25, 2022
    This bucket contains FAIR COVID-19 US county level forecast data
    2900+ Downloads
    This dataset updates: Every week
  • Updated 7 January 2022 | Dataset date: January 01, 2019-December 31, 2021
    The INFORM Severity Index 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 This data is also available on ACAPS API: http://api.acaps.org/api/v1
    5200+ Downloads
    This dataset updates: Every month