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.
The dataset captures weekly progress updates from UN agencies involved in implementing the Central Emergency Response Fund's (CERF) US$ 15 million Early Action allocation to mitigate the impacts of expected severe floods in Unity State during the 2022 rainy season
This dataset contains World Bank COVID-19 Vaccine financing support, the Gavi COVID-19 Delivery Support (early access), and the GAVI CDS (early access) Disbursed for selected countries.
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.
This dataset is an extraction of roads and streets networks from OpenStreetMap database for use in GIS applications.
The data is updated every month and include all latest updates.
Resources:
Syrian Arab Republic Roads Network (main roads)
Syrian Arab Republic streets and pathways
These document are compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the monitoring framework of the Humanitarian Response Plans in Activated Health Clusteres.
The data comes from humanitarianaction For any ideas, updates, or corrections please contact Alberto Castillo Aroca castilloalb@who.int GHCU-IM Assessment and Analysis IMO or the GHC healthcluster@who.int.
The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement.
The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
OpenStreetMap contains roughly 141.0 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 73 % of the total road length in the dataset region. The average age of data for the region is 1 year, 11 months ( Last edited 12 days ago ) and 11% of roads were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
name
name:en
highway
surface
smoothness
width
lanes
oneway
bridge
layer
source
name:si
name:ta
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
1000+ Downloads
This dataset updates: Every month
This dataset is part of the data series [?]: HOTOSM - Roads
This dataset shows the data corresponding to the cultural and social aspect of the Democratic Republic of the Congo with ethnics, tribes, the spoken languages, the culinary culture, .....
Attacks against civilians in Colombia 2012-2019 by department and municipality (events) - Eventos de ataques contra población civil 2012-2019 por departamento y municipio
The UNU-WIDER Government Revenue Dataset (GRD) aims to present a complete picture of government revenue and tax trends over time and allows for analysis at the country, regional or cross-country level.
The GRD provides data on government tax and non-tax revenues, social contributions, and grants in both local currency and as a percentage of GDP. It also highlights the portion of government revenues that accrue from natural resource extraction. The dataset covers the latest available tax and revenue data for the period from 1980—2019 (or —2020 where available) for 196 countries.
The data can be accessed online through the GRD Explorer tool, which allows users to compare countries, regions, and indicators as well as to visualize the data, or by download in Stata and Excel formats. The dataset is updated annually based on changes or updates to the underlying data, as well as on feedback from users with regard to particular countries or regions. For more information please visit https://www.wider.unu.edu/project/grd
This dataset contains distribution tracking data for water, food, NFIs and shelter items in Dominica in the aftermath of Hurricane Irma.
The coordination team in Dominica has been working with partners to make the data as accurate as possible. Please share your distribution to any locations directly to the available dataset created by the team in Dominica or send your information or queries to hurricanemaria2017@undac.org
Dominican Republic administrative level 0-4 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the Dominican Republic - Subnational Population Statistics administrative level 0-2 tables using the ADM0, ADM1, and ADM2_PCODE fields.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).