The attacks in the Red Sea are disrupting commercial and humanitarian supplies. International partners have raised alarm over the economic and humanitarian impact of the escalating attacks on ships in the Red Sea which are adding strain to shipping routes already hit by conflicts and climate change. The crisis in the Red Sea, marked by Houthi-led attacks disrupting shipping routes, has added another layer of complexity.
In response to the Red Sea crisis, major players in the shipping industry have temporarily suspended Suez transits.
The diversion of cargo flow has a major impact on the access to commodities, especially for countries relying heavily on imports. That will also lead to higher costs and delays for humanitarian operations in the Horn of Africa. Continued tensions in the area may result in diverting international attention from the ongoing conflict in Sudan and the climate-related impacts on countries within Southern and Eastern Africa.
The situation is fluid and volatile, with the worst plummets in the last 7 years seen in early 2024. This has a potential for significant consequences depending on future developments
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.
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This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Samoa in the last 180 days.
Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units.
Included indicators are (for each dekad):
10 day rainfall [mm] (rfh)
rainfall 1-month rolling aggregation [mm] (r1h)
rainfall 3-month rolling aggregation [mm] (r3h)
rainfall long term average [mm] (rfh_avg)
rainfall 1-month rolling aggregation long term average [mm] (r1h_avg)
rainfall 3-month rolling aggregation long term average [mm] (r3h_avg)
rainfall anomaly [%] (rfq)
rainfall 1-month anomaly [%] (r1q)
rainfall 3-month anomaly [%] (r3q)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units.
Included indicators are (for each dekad):
10 day rainfall [mm] (rfh)
rainfall 1-month rolling aggregation [mm] (r1h)
rainfall 3-month rolling aggregation [mm] (r3h)
rainfall long term average [mm] (rfh_avg)
rainfall 1-month rolling aggregation long term average [mm] (r1h_avg)
rainfall 3-month rolling aggregation long term average [mm] (r3h_avg)
rainfall anomaly [%] (rfq)
rainfall 1-month anomaly [%] (r1q)
rainfall 3-month anomaly [%] (r3q)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in Sudan.They also provide information on incidents of conflict related sexual violence (CRSV) and explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the Safeguarding Health in Conflict Coalition (SHCC)'s annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
This dataset contains agency- and open source events published in the Attacks on Health Care News Brief. Categorized by country.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
See here for data supporting the Safeguarding Health in Conflict Coalition (SHCC).
This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units.
Included indicators are (for each dekad):
10 day rainfall [mm] (rfh)
rainfall 1-month rolling aggregation [mm] (r1h)
rainfall 3-month rolling aggregation [mm] (r3h)
rainfall long term average [mm] (rfh_avg)
rainfall 1-month rolling aggregation long term average [mm] (r1h_avg)
rainfall 3-month rolling aggregation long term average [mm] (r3h_avg)
rainfall anomaly [%] (rfq)
rainfall 1-month anomaly [%] (r1q)
rainfall 3-month anomaly [%] (r3q)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
These datasets contain information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in Myanmar. They also provide information on incidents of explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the Safeguarding Health in Conflict Coalition (SHCC)'s annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in South Sudan at admin 2 level.
This dataset shows the current IPC AMN period (October 2022–May 2023) analysis. The acute malnutrition situation has deteriorated further in GoY-controlled areas when compared to the same period in 2022. This is due to a combination of factors; severe food insecurity, low immunization coverage, poor access to health and WASH services and increased disease incidences.
Aggregated figures for Natural Disasters in EM-DAT
Documentation on the Country Profiles available here
More on the EM-DAT database : website / data portal
Each line corresponds to a given combination of year, country, disaster subtype and reports figures for :
number of disasters
total number of people affected
total number of deaths
economic losses (original value and adjusted)
This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.