Updated
28 April 2022
| Dataset date: January 01, 2016-December 31, 2022
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
Updated
28 April 2022
| Dataset date: November 01, 2016-March 31, 2022
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).
Updated
28 April 2022
| Dataset date: February 01, 2022-February 28, 2022
The increase of security incidents in northern Mozambique since 2017 resulted in population displacement as well as subsequent humanitarian needs in virtually every humanitarian sector. To better understand the scope of displacement and needs of displaced populations, and in light of the intensification of the situation, the International Organization for Migration (IOM) activated its Displacement Tracking Matrix (DTM) in the Cabo Delgado province in February 2019.
Updated
28 April 2022
| Dataset date: August 04, 2021-May 29, 2022
El Salvador administrative level 0-2 sex and age disaggregated 2022 projected population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the El Salvador - Subnational Administrative Boundaries using the ADM0_PCODE, ADM1_PCODE, and ADM2_PCODE fields.
Updated
28 April 2022
| Dataset date: August 31, 2020-March 31, 2022
The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in Somalia at Admin 2 level.
Updated
27 April 2022
| Dataset date: September 01, 2020-March 31, 2021
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
Updated
27 April 2022
| Dataset date: March 01, 2017-September 30, 2022
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
Updated
Live
| Dataset date: December 15, 2020-May 29, 2022
This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
Updated
Live
| Dataset date: January 01, 2020-May 29, 2022
Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently.
The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker
Updated
Live
| Dataset date: February 24, 2022-May 29, 2022
This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Ukraine Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
Updated
27 April 2022
| Dataset date: January 01, 1960-December 31, 2019
World Bank Indicators of Interest to the COVID-19 Outbreak.
This link is to a collection in the World Bank data catalog that contains datasets that may be useful for analysis, response or modelling.
Updated
27 April 2022
| Dataset date: May 01, 2017-November 30, 2022
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
Updated
27 April 2022
| Dataset date: October 01, 2020-December 31, 2022
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
Updated
26 April 2022
| Dataset date: April 26, 2022-May 29, 2022
El documento contiene un análisis de seguimiento al Plan de Respuesta Humanitaria de Colombia (HRP) de los meses de enero y febrero del año 2022 para el Clúster de Educación en Emergencias (EeE).
Updated
26 April 2022
| Dataset date: April 26, 2022-May 29, 2022
La base de datos contiene los resultados del examen de estado Saber PRO obtenidos por estudiantes de instituciones educativas colombianas para el año 2020.
Updated
26 April 2022
| Dataset date: April 26, 2022-May 29, 2022
Esta base contiene los proyectos aprobados para el Plan de Respuesta Humanitario (HRP) 2022 del Clúster de Educación en Emergencias. Estos proyectos tienen por objetivo atender las poblaciones y territorios priorizados en el marco del cálculo de la Población en Necesidad (PiN) 2022.
