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This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Democratic Republic of the Congo. CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

# Aggregated figures for natural hazard related events in EM-DAT: *Venezuela (Bolivarian Republic of)* 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) ---

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR920. On 13 August 2026 at 12:55, an active wildfire is reported to have affected the Huertgen Forest in the county of Dueren, North Rhine-Westphalia, Germany. The wildfire is ongoing and spreading, with the fire covering more than 30 ha and approaching the village of Huertegenwald-Gey, which has been evacuated; firefighting operations involve more than 200 personnel and multiple helicopters, while explosions have been reported due to unexploded WWII-era munitions in the forest. On August 14, 2026, a new fire occured in High Fens Natural Reserve with geographical closeness to the border to Germany and the active wildfire in Huertgen Forest. Copernicus EMS Rapid Mapping is requested to provide initial rough estimation, fire extent delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR920 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure)…

This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Venezuela (Bolivarian Republic of). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

**ADAM ID: **[1001305\_29](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001305) Category 1 during the period Aug 18 2026-Aug 25 2026 in Japan, Northern Mariana Islands, China. The center of the storm was located near latitude 27.2 longitude 129.0. 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.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR917. On 11/08/2026 at 12:00, a wildfire was detected in Lurë National Park, Municipality of Dibër, Albania. The fire has affected pastureland and pine forest areas and spread under conditions of high fuel load and low humidity. Ground and aerial firefighting resources were deployed, while firebreaks were established to protect nearby villages at risk. Copernicus EMS Rapid Mapping was requested to provide wildfire extent and damage assessment mapping to support operational response and planning activities. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR917 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR923. On 15 August 2026 at 13:50 CET, a wildfire started on the island of Skyros, in the Region of Sterea Ellada, near the village of Atsitsa, burning dense pine forest. At that time, the fire was ongoing, and more than 80 firefighters and 11 aerial assets were deployed for fire suppression operations, assisted by municipal vehicles and machinery, as well as volunteer organizations. Copernicus EMS Rapid Mapping was requested to provide an initial rough estimation, fire extent delineation, and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR923 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR924. Since August 14, severe wildfires have been affecting the Friuli-Venezia Giulia region, with multiple fire fronts. The most serious situation occurred last afternoon, August 15, on Mount Amarianute, where the flames reached the town of Tolmezzo forcing the regional civil protection agency to evacuate several people from their homes. The situation is still ongoing with several fires still active. Copernicus EMS Rapid Mapping is requested to provide initial rough estimation, a burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR924 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

This dataset provides comprehensive **Risk Assessment Indicators** for **Somalia**, aggregated at **admin level 2** and can in particular be used to perform a structured risk assessment for **flood** and **drought** hazards and **cyclone** hazards. It includes demographic, environmental, infrastructure, accessibility, and hazard-related data to support disaster risk and resilience analysis. All layers are derived from [HeiGIT’s GAIA Pipeline](https://giscience.github.io/gis-training-resource-center/en/GIS_AA/en_gaia_indicators_processing.html), integrating open data sources such as [WorldPop](https://www.worldpop.org/), [OpenStreetMap](https://www.openstreetmap.org/), and [Google Earth Engine](https://earthengine.google.com/) based on [HDX COD-AB](https://data.humdata.org/dataset/?q=cod-ab) boundaries. --- ### **Data Overview** - **Access to Services (`SOM_ADM2_access`)** - **Facilities (`SOM_ADM2_facilities`)** - **Coping Capacity (`SOM_ADM2_coping`)** - **Demographics (`SOM_ADM2_demographics`)** - **Rural Population (`SOM_ADM2_rural_population`)** - **Rural Accessibility Index (RAI) (`SOM_ADM2_rai`)** - **Vulnerability (`SOM_ADM2_vulnerability`)** - **Evacuability (`SOM_ADM2_evac…

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.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR922. Starting from 14 August at 22:00 UTC a wildfire started to spread on different areas. The event is ongoing and the most serious fires are currently near Herceg Novi (Bijela and Baošići) and Ulcinj, where strong winds have helped the fires spread. Several homes were threatened, and some residents were temporarily evacuated as a precaution. Additional fires have been reported near Bar, Nikšić, Kolašin, and Cetinje. Firefighters, volunteers, military , and AFFF with planes and helicopters are actively engaged. Copernicus EMS Rapid Mapping is requested to provide burnt area delineation and damage assessment emergency mapping **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR922 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - p…

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 l…

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR918. On 13 August 2026 at 12:00 CET, a wildfire started in the Chalkidiki Regional Unit of the Central Macedonia Region, Greece, near the village of Siviri. The residents of Siviri and Fourka were evacuated, while more than 170 firefighters and 15 aerial assets were involved in suppression operations, supported by municipal machinery and volunteer organisations. Copernicus EMS Rapid Mapping was requested to provide initial rough estimation, fire extent and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR918 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

**ADAM ID: **[1001307\_21](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001307) Tropical depression during the period Aug 20 2026-Aug 25 2026 in Viet Nam, China. The center of the storm was located near latitude 20.0 longitude 109.6. 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.

This layer shows movement path of 2019 Tropical Cyclone Pawan in Somalia. A Tropical Storm initially named 06A formed in the northern Indian Ocean and later developed into a Tropical Cyclone named Pawan after sustaining wind speeds of more than 39mph (48kph) and heavy rain for two days. TC Pawan spread its clouds as far northwest as Oman and Yemen on its way to Somalia. It made landfall in Somalia on 7th December 2019 on the Coastal side of Puntland (Bossaso, Garowe). The worst hit areas by 2019 TC Pawan included Nugaal Region (Eyl and Dangorayo Districts), Karkaar (Qardho District) and Bari Region (Alula, Iskushuban, and Baargaal Districts) who are under Garowe Somalia Red Crescent Society (SRCS) Branch) and the Coastal villages of Hafun, Iskushuban, Baargaal, Quandala and Alula Districts in Bari Region (under Bosasso SRCS Branch). Other areas affected include the coastal villages in Bari Region including Hafun, Iskushuban, Baargaal, Quandala and Alula districts. Most affected households needed urgent humanitarian assistance as they were already living in dire conditions prior to the crisis. The destruction and flooding caused by TC Pawan increased the vulnerability of communities…

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This data lists events with magnitude 2.5+ which have been located by the USGS and contributing agencies within the last day and last week. To see these events in an interactive map, see the [USGS map](https://earthquake.usgs.gov/earthquakes/map/?extent=32.00808,23.99414&extent=44.2924,47.59277). For more information, see the [USGS site](https://www.usgs.gov/programs/earthquake-hazards/earthquakes).

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR921. On 10 August at approximately 10:00 UTC, a wildfire spread across the area. It affected the transition zone between natural, agricultural, and cultural heritage areas, with an estimated burned area of nearly 13,000 hectares. Preventive evacuations were ordered for 18 localities across the municipalities of Las Peñas de Riglos, Bailo, Jaca, Santa Cilia de Jaca, Santa Cruz de la Serós, and Caldearenas. The fire spread along the entire perimeter, remaining out of control. Copernicus EMS Rapid Mapping was requested to provide burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR921 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zip…

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR925. On 20 August 2026 afternoon, a wildfire was reported to have affected Segorbe area, in Spain’s Castellón province near the Calderona Natural Park. The event was ongoing and spreading on 21 August. Copernicus EMS Rapid Mapping was requested to provide burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR925 **Product types present in this dataset's resources:** **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.