Number of deaths ages 10-14 years

Abstract: The Global Gridded Relative Deprivation Index (GRDI), Version 1 (GRDIv1) data set characterizes the relative levels of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel, where a value of 100 represents the highest level of deprivation and a value of 0 the lowest. GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage. Purpose: To provide a global gridded relative deprivation index characterizing the levels of multidimensional deprivation in each pixel at ~1 km resolution. Citation: Global Gridded Relative Deprivation Index (GRDI), Version 1. Center for International Earth Science Information Network - CIESIN - Columbia University. (2022). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/3xxe-ap97 Publication References: Documentation for the Global Gridded Relative Deprivation Index (GRDI), Version 1. Center for International Earth Science Information Network - CIESIN - Columbia University. (2022). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/xwf1-k532

This dataset contains a list of events from 2000 to present during which someone died or went missing while trying to reach or stay in Europe. Details such as the date of the incident, the cause of death, number of dead and missing, location and coordinates of event are included.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

The IPC Classification System distinguishes and links acute food insecurity, chronic food insecurity and acute malnutrition to support more strategic and better coordinated responses. The protocols used by the IPC are harmonized across the three individual scales (IPC Acute Food Insecurity, IPC Chronic Food Insecurity, and IPC Acute Malnutrition). This allows for the analysis of linkages between the three conditions and the possibility of detangling acute food insecurity, chronic food insecurity and acute malnutrition, in support of a more strategic response analysis. This dataset shows data for __Urban, IDPs, Household, Refugees Classification (Current)__ **Data creation:** 2020-09-22 **Contact points:** Resource Contact: [IPC](mailto:IPC-Tech-Support@fao.org) Metadata Contact: [Melanie Rabier](mailto:melanie.rabier@fao.org) **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:**

The IPC Classification System distinguishes and links acute food insecurity, chronic food insecurity and acute malnutrition to support more strategic and better coordinated responses. The protocols used by the IPC are harmonized across the three individual scales (IPC Acute Food Insecurity, IPC Chronic Food Insecurity, and IPC Acute Malnutrition). This allows for the analysis of linkages between the three conditions and the possibility of detangling acute food insecurity, chronic food insecurity and acute malnutrition, in support of a more strategic response analysis. This dataset shows data for __areas receiving humanitarian food assistance (Current)__ **Data creation:** 2020-09-22 **Contact points:** Resource Contact: [IPC](mailto:IPC-Tech-Support@fao.org) Metadata Contact: [Melanie Rabier](mailto:melanie.rabier@fao.org) **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:**

The IPC Classification System distinguishes and links acute food insecurity, chronic food insecurity and acute malnutrition to support more strategic and better coordinated responses. The protocols used by the IPC are harmonized across the three individual scales (IPC Acute Food Insecurity, IPC Chronic Food Insecurity, and IPC Acute Malnutrition). This allows for the analysis of linkages between the three conditions and the possibility of detangling acute food insecurity, chronic food insecurity and acute malnutrition, in support of a more strategic response analysis. This dataset shows data for __Urban, IDPs, Household, Refugees Classification (Projected)__ **Data creation:** 2020-09-22 **Contact points:** Resource Contact: [IPC](mailto:IPC-Tech-Support@fao.org) Metadata Contact: [Melanie Rabier](mailto:melanie.rabier@fao.org) **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:**