international aid transparency initiative-iati
[2]
languages
[30]
libya-floods
[16]
literacy
[49]
livelihoods
[437]
logistics
[238]
malaria
[240]
malnutrition
[55]
markets
[150]
maternity
[428]
men
[71]
mental health
[255]
migration
[177]
morocco-earthquake
[13]
mortality
[356]
natural disasters
[73]
needs assessment
[395]
non-food items-nfi
[48]
nutrition
[747]
openstreetmap
[33]
operational capacity
[188]
operational partners
[64]
operational presence
[147]
opt-israel-hostilities
[45]
peacekeeping
[93]
people in need-pin
[113]
points of interest-poi
[395]
populated places-settlements
[681]
population
[567]
ports
[407]
poverty
[474]
protection
[310]
railways
[409]
refugee crisis
[75]
refugees
[417]
returnees
[94]
rivers
[433]
roads
[473]
rural
[4]
sahel
[4]
services
[433]
severe acute malnutrition-sam
[32]
severity
[25]
sex and age disaggregated data-sadd
[81]
shelter
[99]
social media data
[10]
socioeconomics
[1169]
stateless persons
[224]
survey
[261]
sustainable development
[239]
sustainable development goals-sdg
[699]
topography
[40]
trade
[462]
transportation
[2188]
urban
[7]
vaccination-immunization
[244]
water sanitation and hygiene-wash
[676]
west africa
[42]
who is doing what and where-3w-4w-5w
[508]
women
[234]
youth
[248]
LessMore
Licenses:
CC BY 3.0 IGO
[178]
Creative Commons Attribution International
[7790]
Creative Commons Attribution Share-Alike
[310]
Creative Commons Attribution Share-Alike
[18]
Creative Commons Attribution for Intergovernmental Organisations
[3011]
Multiple Licenses
[7]
ODC-ODbL
[13]
ODbL
[204]
Open Data Commons Attribution License (ODC-BY)
[27]
Open Data Commons Public Domain Dedication and License (PDDL)
[3]
Open Database License (ODC-ODbL)
[4856]
Other
[3410]
Public Domain
[194]
Public Domain / No Restrictions
[421]
UN-Habitat’s urban datasets are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/
[166]
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
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.
This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.