HDX · 实时热榜

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Syria](https://insecurityinsight.org/country-pages/syria). They also provide information on incidents of conflict-related sexual violence (CRSV) and explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This dataset contains information on Security Council practice concerning climate-related shocks and stressors, as it pertains to the Council’s decisions, including resolutions, presidential statements and relevant exchanges of letters between the President of the Security Council and the Secretary-General. More specifically, the dataset contains paragraphs of Council decisions with references to Climate, Peace and Security. To identify these paragraphs, a keyword search is conducted and the results validated, with false positives being removed. The following keywords are used: Climate change; Cyclone; Deforestation; Desertification; Drought; Ecological change; Environmental change; Environmental degradation; Forest fire; Flood; Heat wave; Hurricane; Land degradation; Locust; Natural disaster; Precipitation; Rainfall; Sand and dust storm; Scarcity; Sea level; Storm; Temperature; Typhoon; Water; Weather The dataset covers the time period since the holding of the first meeting of the Council explicitly dedicated to Climate, Peace and Security under the sub-agenda item Energy, Security and Climate on 17 April 2007.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR934. On 09 October at 17:56 UTC (12:56 Local Time) Panama was struck by a 7.7M earthquake. The epicentre was 12 km west-southwest of Pitaloza Arriba, Panama (inland). Copernicus EMS Rapid Mapping is requested to provide earthquake damage assessment emergency mapping. GDACS ID: EQ1570339. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR934 **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.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR929. On August 31, 2026, at 16.00 UTC, in Trapezitsa Mountain, near the city of Konitsa, Ipirus Region, Greece, a fire started due to a lightning, which mainly burned underground. At the time the fire was ongoing, burning a forest of black pine. A large number of firefighters and aerial means were used for fire suppression, assisted by municipality vehicles/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), EMSR929 **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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services in Iran. They also provide information on incidents on political-related sexual violence as well as 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](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in [Ethiopia](https://insecurityinsight.org/country-pages/ethiopia). 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](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This page contains agency- and open source events published in the [Attacks on Health Care News Brief](https://insecurityinsight.org/projects/healthcare/monthlynewsbrief). Categorized by country. Please get in touch if you are interested in curated Resources: info@insecurityinsight.org. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR932. On the 15 September 2025 at 13:00 UTC, an active fire was reported to have affected anthropic forestry land in Huelva Province. 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), EMSR932 **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.

**ADAM ID: **[sm\_us6000u2y1](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000u2y1) Magnitude 5.7 earthquake at 10.0 depth occurred on Oct 17 2026 44km W of Kuzdar Tehsil. The epicentre of the earthquake was located at latitude 28.0179 longitude 66.1708. It impacted 114531 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.

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR928. On the 28 August 2026, a severe storm was reported to have affected the province of Cremona, Italy, causing damage to public and private buildings, to infrastructures and roads, as well as fallen trees. Copernicus EMS Rapid Mapping was requested to provide damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR928 **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.

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems and health care services and refugee and IDP camps in [Lebanon](https://insecurityinsight.org/country-pages/lebanon). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Myanmar](https://insecurityinsight.org/country-pages/myanmar). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services as well information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Sudan](https://insecurityinsight.org/country-pages/sudan). They also provide information on incidents of conflict related sexual violence (CRSV), political-related sexual violence and explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This page contains agency- and open source events in which aid access, education, food systems and health care services were impacted by [explosive weapons](https://insecurityinsight.org/projects/explosive-weapons). Categorized by country. Insecurity Insight collaborates with the [International Network on Explosive Weapons (INEW)](https://www.inew.org/) in producing research and analysis on the harm and use of explosive weapons for the [Explosive Weapons Monitor](https://www.explosiveweaponsmonitor.org/) by documenting their effects on health care, education, food systems and aid access. Please get in touch if you are interested in curated Resources: info@insecurityinsight.org

The dataset contains the estimated extrabudgetary resources for special political missions. Extrabudgetary resources are regularly used for backstopping, surge requirements for good offices, crisis situations and other activities related to the mandates of Special Political Missions. The resources are critical for inter-mission activities and backstopping capacity at Headquarters, thereby enabling closer collaboration. Extrabudgetary resources are also used for targeted projects in different regions, such as on water management in Central Asia, in the Cameroon-Nigeria land boundary region, and various projects in the Great Lakes region.

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

The PortWatch chokepoints database includes 28 major global chokepoints along with other [associated information](https://portwatch.imf.org/datasets/fa9a5800b0ee4855af8b2944ab1e07af/about). This dataset refers to narrow, strategic maritime passage like a strait or canal that is critical for global shipments. These are points where large volumes of traffic must pass, making them vulnerable to disruptions from factors like geopolitical conflict, natural disasters, or accidents. PortWatch specifically tracks and analyzes data related to these chokepoints.

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

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 page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in the [oPt](https://insecurityinsight.org/country-pages/occupied-palestinian-territory-opt). They also provide information on incidents of conflict related sexual violence (CRSV) and explosive weapons use affecting aid access, education, food security and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This page contains agency- and open source events affecting public-health related programmes, including COVID-19, Ebola, and vaccination campaigns. published in the Attacks on Health Care News Brief. Categorized by country. Please get in touch if you are interested in curated Resources: info@insecurityinsight.org.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR931. On the 10 September 2026 at 20:15, a forest fire was reported to have affected the Island of Brac in Croatia and was spreading towards the settlements of Milna and Nerežišća. 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), EMSR931 **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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

The PortWatch Disruptions dataset collects data from the Global Disaster Alert and Coordination System ([GDACS](https://www.gdacs.org/)), which provides alerts on natural hazards such as earthquakes, tsunamis, tropical cyclones, floods, volcanic eruptions, and droughts, as well as other types of disruptions such as those arising from geopolitical tensions. PortWatch intersects this data with their ports and chokepoints databases to identify locations that may be at risk of being disrupted.

**ADAM ID: **[1001339\_4](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001339) Category 1 during the period Oct 16 2026-Oct 17 2026 in Cook Islands. The center of the storm was located near latitude -14.8 longitude -163.2. 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 page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Yemen](https://insecurityinsight.org/country-pages/yemen). They also provide information on incidents of explosive weapons use affecting aid access, food systems, education and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR927. On the 26 August 2026, a flash flood reportedly triggered by a Glacial Lake Outburst Flood (GLOF) in Nepal has caused significant damage in Rasuwa District. Copernicus EMS Rapid Mapping was requested to provide flood extent and damage assessment emergency mapping. GDACS ID: FL1104124. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR927 **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.

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…

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

**ADAM ID: **[1001337\_25](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001337) Tropical storm during the period Oct 13 2026-Oct 19 2026 in México. The center of the storm was located near latitude 19.5 longitude -108.5. 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 page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [South Sudan](https://insecurityinsight.org/country-pages/south-sudan). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR933. On 01 October 2026, a severe rainfall and flooding event was reported to have affected Crete, Greece. The event was ongoing and intensifying, with damage reported to have affected buildings, critical infrastructure, transportation networks, agricultural areas and private properties. Copernicus EMS Rapid Mapping was requested to provide flood extent and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR933 **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.

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food security, health care services and refugee and IDP camps in the [DRC](https://insecurityinsight.org/country-pages/democratic-republic-of-the-congo). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services as well information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

The Core Commitments for Children (CCCs) in Humanitarian Action 2020 set out a policy and framework to equip UNICEF and its partners to deliver a principled, timely, quality and child-centred humanitarian response and advocacy in any crises with humanitarian consequences. The determination of a Unicef Level 3 or Level 2 emergency is made based on scale; urgency; complexity; and capacity of RO and COs affected by the crisis. \n \nData extracted from https://open.unicef.org/flows-overview

This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems and health care services in [Cameroon](https://insecurityinsight.org/country-pages/cameroon). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

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 page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in [Nigeria](https://insecurityinsight.org/country-pages/nigeria). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR930. On the 2 September 2026, at 13:00 UTC a storm was reported to have affected the cities of Policoro and Scanzano Jonico, in the Basilicata region, Italy. The storm hit the cities, the coast and the countryside, downing trees, damaging beach establishments, structures and greenhouses, ripping off roofs and causing power outages. Copernicus EMS Rapid Mapping is requested to provide damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR930 **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. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.