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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.

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.

Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis - an effort that continued throughout 2024. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces.

According to the Afghanistan Humanitarian Needs Overview 2023, 28.3 million people need humanitarian assistance with 9.7 million need Emergency Shelter and Non-Food Items (ES/NFI) assistance. The Rapid Assessment Mechanism (RAM) aims to provide a structured and standardized approach to identify and prioritize the population most in need of ES/NFI assistance as well as to inform allocations. Two rounds of data collection were completed in April and November 2022. In March April 10,900 interviews were conducted by 38 partners. In the following 2nd round, 8200 interviews were conducted. The survey covered 109 prioritised sites. 84% of surveyed households reported that they were unable to repair their shelter because of financial barriers. 81% reported not having sufficient winter clothes and 77% reported not having enough heating devices. Furthermore, 35% said they felt unsafe in their shelters.

Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis - an effort that continued throughout 2024. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces.

Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis - an effort that continued throughout 2024. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces.

Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis - an effort that continued throughout 2023. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces.

Since August 2017, the arrival of Rohingya refugees in Cox’s Bazar District has significantly increased the refugee population in Bangladesh. One of the ongoing challenges in this protracted crisis is ensuring access to water, sanitation, and hygiene (WASH) services that meet minimum sector standards. As the response shifts from emergency to post-emergency, continuous monitoring of WASH services is essential for quality assurance, timely identification of gaps, and evidence-based decision-making. To this end, UNHCR has conducted annual WASH Knowledge, Attitudes, and Practices (KAP) surveys in Cox’s Bazar since 2018. The 2024 round continues this effort, assessing refugee households’ understanding of and access to WASH services, satisfaction with current provision, and perceived challenges. Data were collected through face-to-face interviews with Rohingya refugee households between October and November 2024. The anonymized dataset provides insights into key WASH indicators and supports operational planning, accountability, and improvements in humanitarian response.

Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces with a population of 19.8 millions (Annual Statistical Report 2021).

Eleven years into the Syrian conflict, Lebanon ranks the highest in per capita population of refugees in the world, with over 1.5 million displaced Syrians within its borders. Specifically, the Syrian refugee population in Lebanon remains one of the largest concentrations of refugees per capita in the world. A series of overlapping political, economic and social crises in Lebanon has underpinned the vastly growing level of need across populations in the country. On the macroeconomic front, at the beginning of July 2022 the World Bank downgraded Lebanon to a lower-middle-income country for the first time in 27 years, after Lebanon’s Gross Domestic Product (GDP) had decreased from $55 billion in 2018 to $20.5 billion in 2021.1 The Lebanese lira has continued to lose value in 2022, reaching exchange rates close to LBP 43,000 to the United States dollar in the informal market in December 2022. The country depends heavily on imports, paid for in dollars; fluctuations in exchange rates thus have significant impacts on the prices of goods and services in the country. Inflation is still on the rise: between October 2019 and the time of data collection in June 2022 the Consumer Price Index,…

THE CBI PDM Household Survey was conducted in Kyrgyzstan between February, to April, 2021. In the wake of the Covid-19 pandemic and its far lasting financial impacts, UNHCR Kyrgyzstan has rolled out an Emergency Cash Assistance Program to help refugees meet their basic needs and to mitigate harsh socio-economic impacts in the time of crisis and countrywide lockdowns. The CBI was rolled out in two rounds to all refugee and asylum seeker households to help meet their basic needs including food, rent, and access to essential supplies and services during Covid-19 restrictions. UNHCR uses Post-Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure tha…

Ten years into the Syria conflict, Lebanon remains at the forefront of one of the worst humanitarian crises. The economic downturn, steep inflation, COVID-19 and finally the Beirut blast have pushed vulnerable communities in Lebanon - including Syrian refugees - to the brink, with thousands of families sinking further into poverty. The Government of Lebanon (GoL) estimates that the country hosts 1.5 million of the 6.6 million Syrians who have fled the conflict since 2011. The Syrian refugee population in Lebanon remains one of the largest concentration of refugees per capita in the world. The 2021 Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) was the ninth annual survey assessing the situation of Syrian refugees in Lebanon to identify changes and trends in their vulnerabilities. Considering the prolonged socio-economic status in Lebanon and COVID-19, it was crucial to provide needs-based estimates on Syrian refugees in the country. Since VASyR 2021 was one of the few assessments that were conducted face-to-face, the implementation was accompanied by a comprehensive protocol to ensure the safety of families and field workers. The criticality of conducting the VASyR…

UNHCR Serbia CBI project provides targeted financial assistance to UNHCR's Population of concern (PoC) with monthly cash grants, with a view to address the most acute material needs of refugees and asylum seekers in private accommodation. The overall objective of the project is to ensure that PoC have sufficient basic and domestic items, through the delivery of monthly cash assistance meant to cover expenses helping them to settle and stabilize their life upon displacement. This assistance aims to support a longer-term self-reliance with a view to reduce vulnerability, including prevention of high-risk behaviour (survival sex, child labour…). Besides the regular monthly payments, the project covers for emergency needs as one-time cash payment. UNHCR provides CBI to the most vulnerable asylum seekers and refugees, through direct implementation. Current CBI SOPs were endorsed at the beginning of 2019. The CBI Committee, consisting of representatives of Durable Solutions, Protection and Programme Units decides on allocation, extension or withdrawal of cash assistance to each beneficiary. CBI is meant to help PoCs address their basic needs, including alternatives to camps. The SCRM pro…

THE CBI PDM Household Survey was conducted in Pakistan in November, 2020. UNCHR Pakistan has always been at the front line of dealing with the Afghan refugee crisis. In the wake of Covid-19 pandemic and its far lasting financial impacts, UNHCR Pakistan has rolled out an Emergency Cash Assistance Program to help refugees meet their basic needs and to mitigate harsh socio-economic impacts in the time of crises and countrywide lockdowns. UNHCR implemented a one-off emergency cash assistance to vulnerable refugee and asylum seeker families to help meet their basic needs including food, rent, and access to essential supplies and services. This large-scale cash distribution required an independent third-party post distribution monitoring (PDM) to confirm whether the beneficiaries have received their entitled cash payment and also to clarify the mode of utilization of cash, whether it has been shared, spent, or saved. UNHCR uses Post-Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a c…

**ADAM ID: **[1001305\_38](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 27 2026 in Japan, China, Northern Mariana Islands. The center of the storm was located near latitude 28.1 longitude 122.6. 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.

**ADAM ID: **[1001311\_7](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001311) Category 2 during the period Aug 26 2026-Aug 27 2026 in United States Minor Outlying Islands. The center of the storm was located near latitude 17.5 longitude 164.1. 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.

**ADAM ID: **[1001313\_2](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001313) Tropical storm during the period Aug 27 2026-Aug 27 2026 in Guadeloupe, Antigua and Barbuda, Montserrat. The center of the storm was located near latitude 13.7 longitude -40.7. 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 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 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.

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…

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.

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

Conflict and disaster population movement (flows) data for State of Palestine. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional information…

Conflict and disaster population movement (flows) data for Lebanon. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional information from variou…

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.

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.

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

Conflict and disaster population movement (flows) data for Democratic Republic of the Congo. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisiona…

Conflict and disaster population movement (flows) data for Iran (Islamic Republic of). The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional info…

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.

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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.

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](https://data.humdata.org/dataset/global-ifrc-appeals-data).

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.