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  • 4900+ Downloads
    Updated June 6, 2020 | Dataset date: Jun 6, 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.
  • 600+ Downloads
    Updated June 5, 2020 | Dataset date: Mar 2, 2020-Jun 1, 2020
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
  • 10+ Downloads
    Updated June 5, 2020 | Dataset date: Jun 3, 2020-Jun 4, 2020
    This dataset updates: As needed
    This datasets show location of hand washing stations in Indonesia taken from https://handwashing-station.ushahidi.io/ website. All of the features provided in here use Bahasa Indonesia. Features may be include in here such as: Nama object (ID) / Object name (EN) = provide description about the object name Alamat (ID) / Address (EN) = provide address where the hand-washing station located Tipe tempat cuci tangan (ID) / Type of hand-washing station (EN) = provide the type of hand-washing station. There are two values provided here: portable permanent Sumber air dari tempat cuci tangan (ID) / water source (EN) = provide the water source of the hand-washing station. There are several values provided here: manual/isi sendiri (ID) - manual (EN) pipa paralon (ID) - pipe (EN) truk air (ID) - water truck (EN) lainnya (ID) - other (EN) Tambahan sumber air (ID) / additional water source (EN) = provide additional information about water source if the user fill other in the previous questions. Penyedia tempat cuci tangan (ID) / provider (EN) = provide information about who create the hand-washing station. There are several values provided here: Inisiatif individu (ID) - individual (EN) Komunitas sekitar (Desa, RT, RW) - local community (EN) Pemerintah (ID) - Government (EN) Perusahaan swasta (ID) - Private company (EN) LSM (ID) - NGO (EN) Status (ID/EN) = provide the status of hand-washing station. There are three values provided here: Berfungsi (ID) - Function (EN) Tidak berfungsi (ID) - Not function (EN) Sementara tidak digunakan (ID) - Not being used at the moment (EN) Informasi tambahan apabila tidak berfungsi (ID) / Additional information if not function (EN) = provide additional information if the user fill not function in the previous question Komponen utama penyusun tempat cuci tangan (ID) / Main materials of hand-washing station (EN) = provide information about the materials of hand-washing station. There are several value provided here: Plastik (ID) - Plastic (EN) Keramik (ID) - Ceramic (EN) Fiber (ID) - Fiber (EN) Besi (ID) - Iron (EN) Tanah liat (ID) - Clay (EN) Kayu (ID) - Wood (EN) Waktu pengisian tempat cuci tangan (ID) / Schedule for water filling (EN) = provide information about the when the water refil. There are several value provided here: Setiap hari (ID) - Daily (EN) Setiap minggu (ID) - Weekly (EN) Setiap bulan (ID) - Monthly (EN) Otomatis (ID) - Automatically (EN) Lokasi (ID) / location (EN) = provide the location of the hand-washing station Foto / Photo
  • 10+ Downloads
    Updated Live | Dataset date: Jan 9, 2005-May 17, 2020
    This dataset updates: Live
    This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic. The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria: daily, weekly or monthly level of granularity includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019) includes data up to at least April 1, 2020 Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here. "Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.
  • 100+ Downloads
    Updated June 3, 2020 | Dataset date: Apr 20, 1989-Dec 15, 2018
    This dataset updates: Every day
    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
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name source place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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:speciality addr:full building healthcare amenity operator:type addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: addr:full ele railway operator:type addr:city name source layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: addr:full building amenity operator:type addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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: addr:full building amenity operator:type addr:city name source port This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: addr:full network amenity addr:city name source operator This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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 addr:full emergency building operator:type emergency:helipad addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • UNOSAT code: FL20200101IDN This map illustrates satellite-detected surface water in Banten, Dki Jakarta and Jawa Barat Province of Indonesia as observed from Sentinel-1 imagery acquired on the 2 January 2020. Approximately 258 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 2 January 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties of the radar signal.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name source place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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 addr:full emergency building operator:type emergency:helipad addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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: addr:full building amenity operator:type addr:city name source port This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 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:speciality addr:full building healthcare amenity operator:type addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: addr:full network amenity addr:city name source operator This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: addr:full ele railway operator:type addr:city name source layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: addr:full building amenity operator:type addr:city capacity:persons name source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 600+ Downloads
    Updated June 3, 2020 | Dataset date: Dec 31, 2019-Jun 2, 2020
    This dataset updates: Every week
    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
  • Updated June 3, 2020 | Dataset date: Jun 3, 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: name addr:full amenity source port operator:type addr:city building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated June 3, 2020 | Dataset date: Jun 3, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: name capacity:persons addr:full amenity source operator:type addr:city building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated June 3, 2020 | Dataset date: Jun 3, 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: name layer source width depth tunnel water blockage waterway natural covered This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.