World

Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities since 2014. What is included in Missing Migrants Project data? Missing Migrants Project counts migrants who have died at the external borders of states, or in the process of migration towards an international destination, regardless of their legal status. The Project records only those migrants who die during their journey to a country different from their country of residence. Missing Migrants Project data include the deaths of migrants who die in transportation accidents, shipwrecks, violent attacks, or due to medical complications during their journeys. It also includes the number of corpses found at border crossings that are categorized as the bodies of migrants, on the basis of belongings and/or the characteristics of the death. For instance, a death of an unidentified person might be included if the decedent is found without any identifying documentation in an area known to be on a migration route. Deaths during migration may also be identified based on the cause of death, especially if is related to trafficking, smuggling, or means of travel such as on top of a train, in the back of a cargo truck, as a stowaway on a plane, in unseaworthy boats, or crossing a border fence. While the location and cause of death can provide strong evidence that an unidentified decedent should be included in Missing Migrants Project data, this should always be evaluated in conjunction with migration history and trends. What is excluded? The count excludes deaths that occur in immigration detention facilities or after deportation to a migrant’s homeland, as well as deaths more loosely connected with migrants´ irregular status, such as those resulting from labour exploitation. Migrants who die or go missing after they are established in a new home are also not included in the data, so deaths in refugee camps or housing are excluded. The deaths of internally displaced persons who die within their country of origin are also excluded. There remains a significant gap in knowledge and data on such deaths. Data and knowledge of the risks and vulnerabilities faced by migrants in destination countries, including death, should not be neglected, but rather tracked as a distinct category.

This is a repository for PDF files that are linked on the OCHA Centre for Humanitarian Data's website, https://centre.humdata.org. Please note that if you wish to access these files, we recommend you use the Resources section of the Centre's website rather than downloading from HDX.

Development assistance data from AFD - French Development Agency The dataset covers French development assistance, on ongoing projects in 2015. The data are disclose as receivers agreed France to share it. AFD aims at updating the data every trimester to take into account the flow of new project being funded. Cumulative fundings were update December the 30th 2015 and respect IATI standards. Données de l'aide au développement de l' AFD - Agence Française de Développement Les données portent sur l’aide au développement française sur les projets réalisés en souverain et en cours d’exécution en 2015. Ces données peuvent être publiées dès lors que l'accord de la contrepartie a été obtenu.L'Agence Française de Développement visera une actualisation trimestrielle de la publication de ces données, notamment pour prendre en compte les nouveaux projets de développement financés par l’Agence. Il est à noter que les montants cumulés des versements ont été mis à jour le 30 décembre 2015. Ces données respectent le standard IATI (Initiative internationale pour la transparence de l’aide).

This dataset is ARCHIVED and no longer updated.

This dataset contains the change in the cost of a food basket in relation to a previous period (Periods of 3 months). The change of the cost of basic food basket is calculated by comparing the seasonally adjusted cost of the food basket with the cost in the reference period (previous quarter or baseline), as percentage change. The change is considered normal when the percentage change is between 0 and 3%, moderate when it is between 3 and 10%, high when it is between 10 and 25%, and severe above 25%. Note that the countries included here only include those monitored by WFP.

The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. This dataset includes all incidents up to 2022, which have gone through a comprehensive verification process.

This dataset includes an estimate of global drought annual repartition based on Standardized Precipitation Index. It is based on two sources: 1) A global monthly gridded precipitation dataset obtained from the Climatic Research Unit (University of East Anglia). 2) A GIS modeling of global Standardized Precipitation Index based on Brad Lyon (IRI, Columbia University) methodology. This product was designed by UNEP/GRID-Europe for the Project of Risk Evaluation, Vulnerability, Information & Early Warning (PreView). It was modeled using global data. Credit: UNEP/GRID-Europe. [Preview this dataset] (http://preview.grid.unep.ch/index.php?preview=data&events=droughts&evcat=1&lang=eng)

This dataset contains data from UNHCR's comprehensive annual statistical yearbooks. The yearbooks are a rigorous review of refugee figures on that year. It also contains reviews on figures about asylum seekers, IDPs, and other population groups. Original reports are also available on UNHCR's Statistical Yearbook website.

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

This data includes information about the number of deployments, countries of deployment and duty stations for the years 2018, 2019, 2020 and 2021.

The Aid Worker Security Database (AWSD) is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. The information in this dataset includes verified data on all incidents up to December 2021.

Action on Armed Violence (AOAV) monitors casualties from the use of explosive weapons worldwide based on English-language news media. This data provides an overview of the impact in the last decade.

Topline figures dataset for IOM organisation page

Global Humanitarian Response Plan COVID-19 administrative level 1 boundaries, gazetteer and population tables for countries covered by the May update of the Global Humanitarian Response Plan COVID-19. 13 OCTOBER 2020 UPDATE: The Ethiopia - Subnational Administrative Boundaries dataset has been updated with changes at administrative level 1 and below. However, as the Ethiopia - Subnational Population Statistics dataset has not been updated and no longer matches, this global dataset has not yet been updated. 30 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect official Brazil P-codes. Users should note that the Brazil P-codes in earlier versions no longer correspond to the current CODs. 17 SEPTEMBER 2020 UPDATE: The dataset has been updated to reflect the new (2020) Paraguay COD-PS projections and the adjusted Paraguay P-codes. Users should note that the Paraguay P-codes in earlier versions no longer correspond to the current CODs. 26 AUGUST 2020 UPDATE: administrative level 1 total population statistics have been added for the following 11 countries: Benin , Djibouti, Liberia, Pakistan, Panama, Philippines, Paraguay, Sierra Leone, Togo, Uruguay, Zimbabwe. Population statistics are now available for 48 of the 63 countries or territories. Data fields: ADM1_PCODE: Administrative level 1 (various types) P-code ADM0_PCODE: Administrative level 0 (country or territory) P-code alpha_3: ISO 3166-1 Alpha 3 country or territory identifier ADM0_REF: Administrative level 0 (country or territory) reference name (Latin script without special characters) ADM1_REF: Administrative level 1 (various types) reference name (Latin script without special characters) Population: Most recent available total population. PLEASE SEE CAVEATS

The Small Arms Survey tracks statistics on violent deaths and compiles them in its Global Violent Deaths (GVD) database. Within the framework of the 2030 Agenda for Sustainable Development and its Sustainable Development Goals (SDGs), states have pledged to ‘[p]romote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels’ (SDG 16). The first target identified under this goal, Target 16.1, commits all states to ‘[s]ignificantly reduce all forms of violence and related death rates everywhere'. The GVD database, updated annually, provides a tool for assessing progress in implementing Target 16.1. It contains data starting from 2004 and includes datasets on direct conflict deaths, homicides, violent deaths by firearms—including the prevalence of firearms-related killings of women, as well as figures for women victims of lethal violence more generally. The database contains data from 2004 and includes direct conflict deaths and homicide data sets as well data on 'unintentional homicides' and 'legal interventions deaths'. The database served as the backbone of the Global Burden of Armed Violence reports. Data will be updated and shared once a year.

This layer contains information about Global Border Crossing Points used for humanitarian operations.

Survey results from partners with Acclerated Education Programmes worldwide

EbolaGeonode was a partnership platform for sharing geospatial data, analysis and maps related to the Ebola emergency response. The platform was intended to minimize the time that GIS analysts spend locating up-to-date data. Users were able to make maps on the fly, view metadata, and access the reports behind GIS layers. Curators worked to ensure that the layers were recent, clean, useful, and legally and technically open.

This dataset contains comprehensive data on global forced migration trends in 2014.

Time series representing coverage -- the amount of funds covered -- from the Ebola response appeal. For a more detailed information, please consult the dataset Financial Tracking Data for the Ebola Virus Outbreak in West Africa.

2015 UNHCR Refugees statistics by Country of Asylum broken down by Country of Origin Figures between 1 and 4 are redacted for Refugees protection reasons

Dataset with time-series indicators of FTS summary data. There are five indicators available: Total Funding to the Emergency: Nepal Earthquake - April 2015 (Pledges) Total Funding to the Emergency: Nepal Earthquake - April 2015 (Funding) Nepal Earthquake Flash Appeal 2015 - Overview of Requirements and Funding (Requested) Nepal Earthquake Flash Appeal 2015 - Overview of Requirements and Funding (Funding) Nepal Earthquake Flash Appeal 2015 - Overview of Requirements and Funding (Coverage) Nepal Earthquake Flash Appeal 2015 - Overview of Requirements and Funding (Pledges) This dataset is updated every other day.

The tropical cyclonic strong wind model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry.

Data on targeted and/or actual enrolment of out of school children through partnerships with Educate A Child projects for the years of 2012 - 2018.

This layer contains information about bridges