HungerMapLIVE is the World Food Programme (WFP)’s global hunger monitoring system. It combines key metrics from various data sources – such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data – to help assess, monitor and predict the magnitude and severity of hunger in near real-time. The resulting analysis is displayed on an interactive map that helps WFP staff, key decision makers and the broader humanitarian community to make more informed and timely decisions relating to food security.
The platform covers 94 countries, including countries where WFP has operations as well as most lower and lower-middle income countries (as classified by the World Bank).
GDACS alerts are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanoes. Earthquake, tsunami and tropical cyclones calculations and assessments are done automatically, without human intervention. Floods and volcanic eruptions are currently manually introduced. Research and development is continuous to improve the global monitoring.
FloodScan uses satellite data to map and monitor floods daily, helping compare current flood conditions with historical averages. This dataset contains two resources:
The first (hdx_floodscan_zonal_stats.xlsx) is a daily tabular dataset providing average FloodScan Standard Flood Extent Depiction (SFED) flood fraction (0-100%) per admin 1 and 2 level. Historical baseline values (SFED_BASELINE) are calculated per day-of-year from the last 10 years of historical data (non-inclusive of current year) after applying an 11 day smoothing mean window. Return Period (RP) is calculated empirically based on all historical data up to the current year (non-inclusive).
The second resource (aer_floodscan_300s_SFED_90d.zip) is a zipped file containing AER FloodScan estimated daily flood fraction (0-100%) gridded data at approximately 10 km resolution (300 arcseconds equivalent to approximately 0.083 degrees) for the last 90 days. Each file represents the estimates for a single day and includes 2 bands: SFED and SFED_BASELINE. The baseline band provides users an easy way to compare current values with historical averages. The baseline is calculated per day-of-year from the last 10 years of historical data (non-inclusive of current year) after applying an 11 day temporal smoothing mean window.
OpenStreetMap contains roughly 901.0 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 99% of the total buildings.The average age of data for this region is 4 years ( Last edited 15 days ago ) and 8% buildings were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['building'] IS NOT NULL
Features may have these attributes:
name
name:en
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
source
name:ko
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Latest COD population statistics compiled at the admin level. The CSV files contain subnational p-codes, their corresponding administrative names, source organization, and reference dates where available. These are constructed from individual country level population files, which can be found using this search on HDX.
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
This dataset contains data obtained from the
HDX Humanitarian API (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
landing page
and
documentation.
Conflict and disaster population movement (flows) data for Zimbabwe. The data is the most recent available and covers a 180 day time period.
Internally displaced persons are defined according to the 1998 Guiding Principles 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). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
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.
100+ 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, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains.
The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access.
As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO).
At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district).
Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA).
In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset.
For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/
View the column descriptions here.
Metadata available here.
Questionnaires used for data collection available here.
Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
The WFP Global Market Monitor monitors food prices in markets across a range of countries globally. The resources are updated every other week, with country data updating based on when data is received from country offices.
ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning.
The monthly hotspots data set is available below, but you can explore the hotspots on the ASAP Warning Explorer and access more contextual data on the downloads page. To learn more about the hotspots, refer to the warning classification methodology document.
This dataset contains data obtained from the
HDX Humanitarian API (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
landing page
and
documentation.
This dataset contains standardised Humanitarian Needs Overview data taken from the OCHA HPC Tools system which is under active development. For more detailed but less standardized data on humanitarian needs, see the Humanitarian Needs Overview data series.
CSV containing subnational p-codes, their corresponding administrative names, parent p-codes, and reference dates for the world (where available). These are constructed using the COD gazetteers.
English names are used where available, followed by names written in Latin alphabets.
Note that Indonesia admin4 is not included for now, as that data is contained in a second, non-standard gazetteer.
In 2025, the UN and partner organizations are appealing for nearly $45 billion to assist 185 million people.
This Global Humanitarian Overview 2025 is launched on behalf of more than 2000 humanitarian partners. It covers 72 countries through 24 country plans, 9 flash appeals and 9 regional plans. The Global Humanitarian Overview 2025 is being launched at a time when entrenched, violent conflicts and the climate crisis are taking a tremendous toll on lives and livelihoods. In 2024:
Four out of five civilian casualties in conflicts worldwide occurred in a countries with a humanitarian plan or appeal.
One in five children worldwide lives in or has fled from conflict zones.
Four out of five civilian casualties in conflicts worldwide occurred in a countries with a humanitarian plan or appeal.
2024 was the hottest year on record, with global temperatures reaching 1.5ºC warming.
Crises are lasting longer, with grim prospects for people impacted. The average duration of a humanitarian appeal/plan is now 10 years. In these settings:
The maternal mortality rate is nearly double the global average.
Measles vaccinations reach just 64 per cent of children, compared to 84 per cent globally.
Primary school completion rates are just 10 per cent, compared with 90 per cent globally.
Two things are urgently needed for humanitarians to effectively deliver in 2025: respect for international humanitarian law and accountability for violations, and a fully funded appeal.
The Global Humanitarian Overview is a comprehensive assessment of global humanitarian needs, and it provides a snapshot of current and future trends in humanitarian action for large-scale resource mobilization.
The GHO is updated every month, with an overview of funding trends and thematic highlights.
The full report, interactive content and updated operational data are available in full through "https://humanitarianaction.info"
DTM Flow Monitoring, conducted by IOM Afghanistan, is designed to provide insights into the mobility patterns at Afghanistan’s border points with the Islamic Republic of Iran and Pakistan.
It is important to note that DTM collects information on total movements at a given border point, not the number of unique individuals entering or leaving the country. As a result, if one individual both left and re-entered Afghanistan during the reporting period, this would count as one outflow movement and one inflow movement.
DTM FM is operational at four main crossing points (connected to Afghanistan’s National Highway) as well as six other crossing points with Islamic Republic of Iran and Pakistan.