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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
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.
Point locations of maritime security events worldwide, published by Orion Terrametrics. Each feature represents an incident with attributes including date, description, number of deaths, and victim details. The dataset contains 9,182 features.
Point locations of damaged sites in the Gaza Strip, each recording the site type, damage classification, sensor used, sensor date, confidence level and field validation status. Published by Orion Terrametrics.
A single polygon representing the analysis extent of a damage assessment in the Gaza Strip, with sensor date, sensor, confidence and field validation status. Published by Orion Terrametrics.
Point locations of damaged sites in the Gaza Strip, each recording the site type, damage classification, sensor used, sensor date, confidence level and field validation status. Published by Orion Terrametrics.
Point locations of schools assessed for damage, published by Orion Terrametrics. Each feature represents a school or university, with attributes including damage classification, sensor date, and settlement. The dataset covers Gaza and includes 413 features.
Locations of refugee camps, IDP sites and displacement settlements in Central African Republic. Use this layer for humanitarian response planning, protection monitoring, service delivery to displaced populations, and humanitarian needs assessment.
Global urban area polygons at 1:10 million scale from Natural Earth, representing the extent of built-up areas in cities and towns worldwide. Includes urban extent polygons with population and scale rank attributes. Use this layer for urban growth analysis, population distribution mapping, infrastructure planning, land use analysis, and cartographic base mapping at global and continental scales. No additional information provided.
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.
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:**
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 (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:**
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 (Second 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:**
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 (Second 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:**
The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Primary education, teachers refers to the total number of teachers at primary level, including full-time and part-time teachers.
Human migration: countries where weather extremes have displaced more than 50000 people in a year. Pixels with a value higher than the specified threshold (50000) were given a value of 1 (YES response) The database aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of Displacement associated with sudden-onset natural hazard disasters (2008-2020). **Data revision:** 2021-01-01 **Contact points:** Resource Contact: [International Displacements Monitoring Center](mailto:info@idmc.ch) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** license **Online resources:** iDMC - Global Internal Displacement Database: 2020 Internal Displacement
The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
Trained teachers in preprimary education are the percentage of preprimary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.
Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.
Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
UNICEF Data Warehouse dataflow GLOBAL_DATAFLOW: Cross-sector indicators, by country and year.
Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
Percentage of firms with females among the owners.
Current expenditure is expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure is consumed within the current year and would have to be renewed if needed in the following year. It includes staff compensation and current expenditure other than for staff compensation (ex. on teaching materials, ancillary services and administration).