Data [18149]
  • Updated November 20, 2020 | Dataset date: Nov 21, 2020
    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.
    100+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020
    Projects proposed, in progress, or completed as part of the annual Zimbabwe Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
    This dataset updates: Live
  • Updated November 20, 2020 | Dataset date: Nov 24, 2020
    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.
    100+ Downloads
    This dataset updates: Every week
  • Updated November 20, 2020 | Dataset date: Dec 31, 2017
    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.
    100+ Downloads
    This dataset updates: Every year
  • Updated November 19, 2020 | Dataset date: Mar 17, 2020
    The #COVID19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five categories: Social distancing Movement restrictions Public health measures Social and economic measures Lockdowns Each category is broken down into several types of measures. ACAPS consulted government, media, United Nations, and other organisations sources. For any comments, please contact us at info@acaps.org Please note note that some measures together with non-compliance policies may not be recorded and the exact date of implementation may not be accurate in some cases, due to the different way of reporting of the primary data sources we used.
    18000+ Downloads
    This dataset updates: Every week
  • UNOSAT code: TC20201116NIC Este mapa ilustra las inundaciones detectadas por el satélite NOAA-VIIRS en Nicaragua entre el 13 y 17 de Noviembre. Dentro del área analizada de aproximadamente 95,000 km2, un total de aproximadamente 2,000 km2 de tierras parecen estar inundadas. Basado en los datos de población de Worldpop y la extensión de las aguas superficiales detectadas, alrededor de 100,000 personas están potencialmente expuestas o viven cerca de áreas inundadas. La población potencialmente expuesta se encuentra principalmente en el departamento de Chinandega con ~25,000 habitantes, en el departamento de Manague con ~16,000 habitantes, y em el departamento de Atlántico Norte con 10,000 habitantes. Se trata de un análisis preliminar que aún no ha sido validado en el terreno. Por favor envíe comentarios a UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated November 19, 2020 | Dataset date: Jan 1, 2017-Sep 30, 2020
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Niger to ensure staff safety and better response outcomes.
    200+ Downloads
    This dataset updates: As needed
  • Updated November 19, 2020 | Dataset date: Jan 1, 2019-Oct 31, 2020
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Cameroon to ensure staff safety and better response outcomes.
    100+ Downloads
    This dataset updates: As needed
  • Updated November 19, 2020 | Dataset date: Jan 1, 2015-Oct 31, 2020
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
    500+ Downloads
    This dataset updates: As needed
  • Updated November 19, 2020 | Dataset date: Jun 1, 2017
    Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Populated places = City or Village
    21000+ Downloads
    This dataset updates: Every six months
  • Updated November 18, 2020 | Dataset date: Sep 7, 2017
    Acquired from www.gadm.org. Configured and adjusted to conform to COD-PS by OCHA REFERENCE YEAR: 2017 These boundaries are suitable for database or GIS linkage to the Cuba administrative levels 0-2 population statistics tables.
    700+ Downloads
    This dataset updates: Every year
  • Updated November 17, 2020 | Dataset date: Nov 16, 2020
    This data is about the humanitarian interventions of local/international organizations, faith based organizations, government, private sectors, UN agencies, and Red Cross in the areas affected by the typhoons.
    40+ Downloads
    This dataset updates: As needed
  • The dataset contains IDPs individual and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation. The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs.
    5400+ Downloads
    This dataset updates: Every three months
  • Updated November 17, 2020 | Dataset date: Sep 9, 2020
    The objective of the dataset is to provide information that enables decision makers to better direct their efforts in addressing the wider effects of the COVID-19 pandemic. The dataset will track secondary impacts across a wide range of relevant themes: economy, health, migration, education to name a few. A set of around 80 impact indicators anticipated to be impacted by COVID-19 have been identified and organised across 4 pillars and 13 thematic blocks. Additionally, a set of around 25 pre-COVID-19 baseline indicators have been selected for each pillar. The data collection is conducted on a country-level and identifies the secondary impacts the COVID- 19 pandemic is having in more than 190 countries. Data comes from a range of available sources, including international organisations, research centres, and media analysis. Note: These are the preliminary results of the data collection on secondary impacts. This dataset is currently in the beta-testing phase, we will keep improving and updating in the coming weeks.
    200+ Downloads
    This dataset updates: As needed
  • Updated November 17, 2020 | Dataset date: Nov 17, 2020
    Nepal administrative level 0-2 and district (un-numbered) boundaries REFERENCE YEAR: 2020 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. See caveats
    11000+ Downloads
    This dataset updates: Every year
  • Updated November 17, 2020 | Dataset date: May 20, 2020-Nov 15, 2020
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
    2300+ Downloads
    This dataset updates: Every week
  • Updated November 17, 2020 | Dataset date: Feb 15, 2019
    Bangladesh administrative level 0-3 population statistics REFERENCE YEAR: 2011 17 November 2020 update: P-codes prefixed with 'BD' These population statistics tables are suitable for database or GIS linkage with the administrative level 0-2 Bangladesh - Subnational Administrative Boundaries shapefiles. (See caveats.)
    2700+ Downloads
    This dataset updates: Every year
  • Updated November 17, 2020 | Dataset date: Sep 30, 2020
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
    90+ Downloads
    This dataset updates: Every three months
  • Updated November 17, 2020 | Dataset date: Jul 1, 2020-Sep 30, 2020
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
    50+ Downloads
    This dataset updates: Every three months
  • The dataset provides the estimated Rohingya refugee population statistics by location (lat/lon), settlement type in Cox's Bazar district, Bangladesh. The dataset is updated regularly. The source is the RRRC-UNHCR Family Counting Exercise in Cox's Bazar
    11000+ Downloads
    This dataset updates: Every month
  • Updated November 17, 2020 | Dataset date: Apr 25, 2018
    17 November 2020 update: P-codes prefixed with 'BD' This is the full Administrative dataset for Bangladesh. REFERENCE YEAR: 2015 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative levels 0-3 layers are suitable for database or GIS linkage to the Bangladesh - Subnational Population Statistics population statistics tables. (See caveats.)
    22000+ Downloads
    This dataset updates: As needed
  • Updated November 17, 2020 | Dataset date: Jul 26, 2020
    Sudan Settlement 26 July 2020
    10+ Downloads
    This dataset updates: As needed
  • Updated November 17, 2020 | Dataset date: Sep 1, 2020-Oct 31, 2020
    The dataset has return location of IDPs & families. Last displacement at Governorates (admin1) level, shelter type and period of last displacement.
    4600+ Downloads
    This dataset updates: Every three months
  • Updated November 17, 2020 | Dataset date: Nov 16, 2020
    Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease. In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women. In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far. For more, please visit: http://globalhealth5050.org/covid19
    1000+ Downloads
    This dataset updates: Every two weeks
  • Updated Live | Dataset date: Jan 1, 2015-Dec 31, 2020
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    5900+ Downloads
    This dataset updates: Live