AndreaBozzo/ceres-open-data-index huggingface dataset:
EM-DAT - Country Profiles, Nicaragua

# Aggregated figures for natural hazard related events in EM-DAT: *Nicaragua*

Documentation on the Country Profiles [available here](https://doc.emdat.be/docs/data-accessibility/#the-humanitarian-data-exchange-hdx-em-dat-country-profiles)

How to cite the EM-DAT Project [here](https://doc.emdat.be/docs/introduction/#how-to-cite)

Main dataset on HDX: [EM-DAT - Country Profiles](https://data.humdata.org/dataset/emdat-country-profiles)

More on the EM-DAT database :  [website](https://www.emdat.be) / [data portal](https://public.emdat.be)

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)

---

Tags: affected population, economics, fatalities, hxl, natural disasters
Organization: Centre for Research on the Epidemiology of Disasters
Aid Worker KIKA (Killed, Injured, Kidnapped or Arrested) Data

This page contains agency- and publicly-reported data for events in which an aid worker was [killed, injured, kidnapped, or arrested (KIKA)](https://insecurityinsight.org/projects/aid-in-danger/aid-security-digests). Categorized by country. Please get in touch if you are interested in curated Resources: info@insecurityinsight.org

Tags: aid worker security, aid workers, conflict-violence, indicators
Organization: Insecurity Insight
EM-DAT - Country Profiles, Italy

# Aggregated figures for natural hazard related events in EM-DAT: *Italy*

Documentation on the Country Profiles [available here](https://doc.emdat.be/docs/data-accessibility/#the-humanitarian-data-exchange-hdx-em-dat-country-profiles)

How to cite the EM-DAT Project [here](https://doc.emdat.be/docs/introduction/#how-to-cite)

Main dataset on HDX: [EM-DAT - Country Profiles](https://data.humdata.org/dataset/emdat-country-profiles)

More on the EM-DAT database :  [website](https://www.emdat.be) / [data portal](https://public.emdat.be)

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)

---

Tags: affected population, economics, fatalities, hxl, natural disasters
Organization: Centre for Research on the Epidemiology of Disasters
EM-DAT - Country Profiles, Egypt

# Aggregated figures for natural hazard related events in EM-DAT: *Egypt*

Documentation on the Country Profiles [available here](https://doc.emdat.be/docs/data-accessibility/#the-humanitarian-data-exchange-hdx-em-dat-country-profiles)

How to cite the EM-DAT Project [here](https://doc.emdat.be/docs/introduction/#how-to-cite)

Main dataset on HDX: [EM-DAT - Country Profiles](https://data.humdata.org/dataset/emdat-country-profiles)

More on the EM-DAT database :  [website](https://www.emdat.be) / [data portal](https://public.emdat.be)

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)

---

Tags: affected population, economics, fatalities, hxl, natural disasters
Organization: Centre for Research on the Epidemiology of Disasters
EM-DAT - Country Profiles, Cambodia

# Aggregated figures for natural hazard related events in EM-DAT: *Cambodia*

Documentation on the Country Profiles [available here](https://doc.emdat.be/docs/data-accessibility/#the-humanitarian-data-exchange-hdx-em-dat-country-profiles)

How to cite the EM-DAT Project [here](https://doc.emdat.be/docs/introduction/#how-to-cite)

Main dataset on HDX: [EM-DAT - Country Profiles](https://data.humdata.org/dataset/emdat-country-profiles)

More on the EM-DAT database :  [website](https://www.emdat.be) / [data portal](https://public.emdat.be)

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)

---

Tags: affected population, economics, fatalities, hxl, natural disasters
Organization: Centre for Research on the Epidemiology of Disasters
EM-DAT - Country Profiles, Austria

# Aggregated figures for natural hazard related events in EM-DAT: *Austria*

Documentation on the Country Profiles [available here](https://doc.emdat.be/docs/data-accessibility/#the-humanitarian-data-exchange-hdx-em-dat-country-profiles)

How to cite the EM-DAT Project [here](https://doc.emdat.be/docs/introduction/#how-to-cite)

Main dataset on HDX: [EM-DAT - Country Profiles](https://data.humdata.org/dataset/emdat-country-profiles)

More on the EM-DAT database :  [website](https://www.emdat.be) / [data portal](https://public.emdat.be)

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)

---

Tags: affected population, economics, fatalities, hxl, natural disasters
Organization: Centre for Research on the Epidemiology of Disasters
El Salvador - Tropical depression on Jun 08 2026

**ADAM ID: **[1001275\_13](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001275)  Tropical depression during the period Jun 08 2026-Jun 11 2026 in Honduras, El Salvador, Nicaragua. The center of the storm was located near latitude 13.2 longitude -89.1.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, cyclones-hurricanes-typhoons, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Philippines - Earthquake on Jun 11 2026

**ADAM ID: **[sm\_us7000ss57](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000ss57)  Magnitude 5.5 earthquake at 49.891 depth occurred on Jun 11 2026 59km S of Sarangani. The epicentre of the earthquake was located at latitude 4.8778 longitude 125.4356. It impacted 2 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Philippines - Earthquake on Jun 11 2026

**ADAM ID: **[sm\_us7000ss6g](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000ss6g)  Magnitude 5.4 earthquake at 72.962 depth occurred on Jun 11 2026 60km S of Sarangani. The epicentre of the earthquake was located at latitude 4.8685 longitude 125.4495. It impacted 2 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Democratic Republic of Congo: Detected mobility from 2026 Bundibugyo Virus Disease Outbreak Health Zones

Proportion of an anonymised mobile subscriber cohort - defined by presence in Bunia, Mongbwalu or Rwampara health zones (Ituri Province, DRC) during 3–23 April 2026 - who were later detected at least once in each of the other health zones across the Democratic Republic of Congo, ranked by the percentage of the cohort detected.

Produced by Flowminder using pseudonymised call detail records from Vodacom Congo (DRC) to support disease surveillance and response during the 2026 DRC Ebola Bundibugyo outbreak.

Tags: crisis-ebola-bundibugyo-virus-disease, demographics, epidemics-outbreaks, geodata, migration, population
Organization: Flowminder
Central African Republic - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3, ADM5.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Afghanistan: Integrated Context Analysis (ICA), 2016


    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.

The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
    

Tags: geodata, hazards and risk
Organization: WFP - World Food Programme
Russian Federation - Earthquake on Jun 10 2026

**ADAM ID: **[sm\_us7000ss03](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000ss03)  Magnitude 5.7 earthquake at 343.313 depth occurred on Jun 10 2026 33 km ESE of Ol’ga, Russia. The epicentre of the earthquake was located at latitude 43.6289 longitude 135.6736. It impacted 4377 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
REACH Haïti - Evaluation multisectorielle des besoins (MSNA) 2022, Base de données ménages

La nature multiforme de la crise en Haïti explique que la coordination humanitaire estime à 4,9 millions le nombre de personnes dans le besoin en 2022. Tandis que l’accès humanitaire représente un obstacle de plus en plus tangible à la collecte d’information, en raison du caractère enclavé de certaines zones et du contexte sécuritaire volatile, les données disponibles sont généralement spécifiques à une intervention, un lieu ou un secteur.

Afin de répondre à ces défis en termes de gestion de l’information, REACH, sous le mandat du GCIS a facilité pour la première fois en Haïti une Evaluation multisectorielle des besoins (MSNA) qui couvre l'ensemble du territoire afin d'informer le Cycle de programmation humanitaire (HPC) 2023.

La collecte de données a eu lieu du 12 juin au 13 septembre 2022. 3896 ménages ont participé à l'enquête, dont 1188 dans la Zone métropolitaine de Port-au-Prince. Les entretiens ont été effectués en personne.

REACH Initiative a effectué la collecte pour les ménages en population générale. L'échantillon est stratifié par grappes avec un niveau de confiance de 95% et une marge d'erreur de 10%. Les données sont disponibles au niveau des départements et des milieux (soit rural, soit urbain), et au niveau des communes pour la Zone métropolitaine de Port-au-Prince. L'échantillon n'a pas pu être complété pour le département de l'Ouest en zone rurale du fait des contraintes sécuritaires de septembre 2022, les résultats sont donc à considérer comme indicatifs. Pour les populations déplacées et rapatriées, les données ont été collectées par l'OIM.

Le questionnaire a été mis au point avec les partenaires sectoriels et les groupes de travail thématiques. Il est traduit en créole haïtien.

Tags: affected population, disability, displacement, education, food security, health, livelihoods, needs assessment, non-food items-nfi, population, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Global Humanitarian Overview 2026

Through the Global Humanitarian Overview (GHO) 2026, humanitarian partners are appealing for almost US$33 billion to assist 135 million people in crisis, with the immediate priority being to mobilize $23 billion to save 87 million lives. 

The GHO2026 is being launched at a time when humanitarian colleagues on the front lines of crises were killed, detained and injured, while brutal funding cuts forced humanitarians to shutter, suspend and stop services for communities in crisis, for example:
• In Afghanistan, only 1 million of the most vulnerable people will receive food assistance during the lean season, compared to 5.6 million in 2024.
• In Nigeria, despite renewed violence, 1.4 million people did not receive protection support.
• In Syria, water, sanitation and hygiene (WASH) partners suspended or decreased their response in over 350 camps, affecting more than 250,000 internally displaced people.

Despite these extreme challenges, humanitarians reached nearly 98 million people in crisis in 2025.

Two things are urgently needed for humanitarians to effectively deliver in 2026: 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



Tags: funding, people in need-pin
Organization: OCHA HQ
Global Humanitarian Overview 2025

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  <a href="https://humanitarianaction.info/>"https://humanitarianaction.info</a>"


Tags: funding, hxl, people in need-pin
Organization: OCHA HQ
ACAPS Protection Risks Monitoring dataset

The dataset tracks protection events on a global level, using various publicly available sources, including – but not limited to – local, regional, and international operational and non-operational humanitarian organisations; UN agencies; media; and social media platforms. Data is collected and reviewed regularly, and the dataset is continuously updated. 

Methodology 

ACAPS has identified categories for tracking ‘protection events’, including one-time events, policies, and recurrent violations. Protection events are those that impede people’s meaningful access to humanitarian assistance and their rights, safety, and dignity. These events may impose violence, coercion, or deliberate deprivation​. In the table below, we present the list of protection indicators and their scope. The Protection Indicators Monitor Dataset provides information relevant to the main protection threats, vulnerabilities, and coping strategies of affected populations and the existing capacities to address them. It informs decision makers and humanitarian responders about potential protection risks to the affected people and/or their service operations.  



Tags: gender, hazards and risk, protection
Organization: ACAPS
HDX HAPI - Food Security, Nutrition & Poverty: Food Security

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (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](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).

Warnings typically indicate corrections have been made to
the data or show things to look out for. Rows with only warnings
are considered complete, and are made available via the API.
Errors usually mean that the data is incomplete or unusable.
Rows with any errors are not present in the API but are included
here for transparency.


Tags: food security
Organization: HDX Humanitarian API Data
Global: Acute Food Insecurity Country Data

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.  
  
There are also [country datasets](https://data.humdata.org/organization/da501ffc-aadb-43f5-9d28-8fa572fd9ce0)

Tags: food security, integrated food security phase classification-ipc
Organization: Integrated Food Security Phase Classification (IPC)
Honduras: Acute Food Insecurity Country Data

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.  
  
There is also a [global dataset](https://data.humdata.org/dataset/global-acute-food-insecurity-country-data).

Tags: food security, integrated food security phase classification-ipc
Organization: Integrated Food Security Phase Classification (IPC)
Central African Republic: Acute Food Insecurity Country Data

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.  
  
There is also a [global dataset](https://data.humdata.org/dataset/global-acute-food-insecurity-country-data).

Tags: food security, integrated food security phase classification-ipc
Organization: Integrated Food Security Phase Classification (IPC)
Micronesia (Federated States of) - VIEWS conflict forecasts

The Violence & Impacts Early-Warning System (VIEWS) is an award-winning conflict prediction system that generates monthly forecasts for violent conflicts across the world up to three years in advance. It is supported by the iterative research and development activities undertaken by the VIEWS consortium.

Tags: conflict-violence, fatalities, forecasting, hxl
Organization: Violence & Impacts Early-Warning System
Mexico - Tropical depression on Jun 07 2026

**ADAM ID: **[1001274\_10](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001274)  Tropical depression during the period Jun 07 2026-Jun 09 2026 in Mexico. The center of the storm was located near latitude 16.9 longitude -98.9.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, cyclones-hurricanes-typhoons, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Philippines - Earthquake on Jun 09 2026

**ADAM ID: **[sm\_us7000srpu](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000srpu)  Magnitude 5.4 earthquake at 35.0 depth occurred on Jun 09 2026 27km SW of Maasim. The epicentre of the earthquake was located at latitude 5.6881 longitude 124.825. It impacted 202579 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Global Health Cluster - Standardizing Objectives, Activities, and Indicators

In this dataset you will find (1) a short presentation for Health Cluster Coordination Teams on aligning the 2026 HNRP with the Humanitarian Programme Cycle (HPC) 2026 and the Humanitarian Reset. It introduces the Health Cluster menu of objectives, activities and indicators and highlights key updates on JIAF 2.0 (pdf). (2)The Health indicators list coded in a 'Menu of Objectives' tool (in Excel). And finally, (3 to 5) One-pager on JIAF 2.0 updates for 2026 (in FR, SP, and EN).

Tags: health, indicators
Organization: Health Cluster
India: High Resolution Population Density Maps

Meta and Columbia University - CIESIN provide the High Resolution Settlement Layer as the world's most accurate population datasets. https://ai.meta.com/ai-for-good/datasets/high-resolution-population-density-maps/. This dataset for India, updated in 2026, relies on an updated methodology that uses the Overture Building Footprint dataset. 

These maps are the distribution of human population spanning India. Each of the 7 TIFF files is a 10 x 10 degree tile (the lower latitude coordinate and longitude coordinates are in the file name). A VRT file is also included.

Tags: baseline population, demographics, geodata, populated places-settlements, population
Organization: AI for Good at Meta