Estimates of the number of acutely malnourished children expected for the year 2024 were made based on the results of the national nutritional and retrospective mortality survey using the SMART methodology carried out between January and March 2023.
This dataset contains violent agency- and open source events affecting refugee and IDP camps published in the Protection in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
La Présence Opérationnelle (3W) est un ensemble de données pour la coordination humanitaire. Il est essentiel de savoir où les organisations humanitaires travaillent, ce qu'elles font et leurs capacités afin d'identifier les lacunes, d'éviter la duplication des efforts et de planifier une future réponse humanitaire. Cet ensemble de données comprend une liste des organisations humanitaires opérant au République Démocratique du Congo au niveau Admin 3.
This dataset contains agency- and open source events published in the Education in Danger Monthly News Brief. Categorized by country.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera).
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
30+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook.
Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259).
Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
Ce jeu de données comprend le nombre d'incidents au Mali indiquant des restrictions d'accès humanitaire. Ces informations sont compilées par OCHA Mali en se basant sur les incidents rapportés par les partenaires d'accès humanitaire sur le terrain.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
50+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Nigeria at LGA level.
In response to the need for timely and accurate information on the multi-hazard in Uganda, the International Organization for Migration (IOM) in Uganda implements the Displacement Tracking Matrix (DTM). This dataset includes the number of affected individuals and households, the number of displaced individuals and households, and the most pressing needs.
DTM REMAP implements the Baseline Mobility Assessment (BMA) in Tajikistan to track mobility, provide information on population estimates, geographic distribution of migrant workers and return migrants, reasons for migration and countries of return. Data is collected at the village level from key informants and direct observations.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
70+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
Esta base contiene el resultado final del cálculo de las severidades y la Población en Necesidad (PiN) para el Clúster de Recuperación Temprana, Colombia 2024.
ADAM ID: 1001053_10 Cyclone (tropical storm) during the period Mar 03 2024-Mar 13 2024 in Mozambique, South Africa, Eswatini, Zimbabwe, Malawi. It impacted 0 people.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
50+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
The INFORM Severity Index summarises a wide range of already existing, quantitative information about crisis severity and presents it in a format that can be used more easily in decision-making.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
70+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
This page provides data on conflict events affecting food insecurity in the form of the Food Insecurity and Violent Conflict (FIVC) datasets.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
Myanmar administrative level 0-5 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
These layers are suitable for database or GIS linkage to the Myanmar - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
This edge-matched product is based on the Myanmar - Subnational Administrative Boundaries (COD-AB).
Myanmar administrative level 0-5 boundaries (COD-AB) dataset.
NOTE: THIS COD-AB was specially developed from the various existing Myanmar Information Management Unit (MIMU) 'v9.4' HDX datasets that are understood to be the last or final MIMU versions expected. These have been assembled into this COD-AB dataset without corrections to existing errors. Existing errors are documented in the 'MMR COD-AB ITOS error documentation.pdf' document ncluded with this dataset. Administrative level 5 covers urban areas only, and is not represented in the 'mmr_polbndl_adm01234_250k_mimu_itos_20240215' lines layer.
This COD-AB was most recently reviewed for accuracy and necessary changes 0 month(s) ago. The determination was: The COD-AB does not require any update.
Sourced from MIMU.
Live geoservices are available. Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID.
This COD-AB is suitable for database or GIS linkage to the Myanmar COD-PS table(s) using the XX_PCODE, field(s).
An edge-matched (COD-EM) version of this COD-AB is available.
Please see COD Portal: https://cod.unocha.org/
Administrative level 1 contains 18 features.
Administrative level 2 contains 80 features.
Administrative level 3 contains 330 features.
Administrative level 4 contains 14174 features.
