HDX · 实时热榜

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.

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.

**ADAM ID: **[sm\_us6000tlkt](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tlkt) Magnitude 5.6 earthquake at 10.0 depth occurred on Aug 18 2026 72km S of Tello. The epicentre of the earthquake was located at latitude -0.6858 longitude 98.416. It impacted 10895 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.

**ADAM ID: **[sm\_usd0015eay](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_usd0015eay) Magnitude 5.7 earthquake at 35.585 depth occurred on Aug 17 2026 23km E of Mbay. The epicentre of the earthquake was located at latitude -8.5128 longitude 121.4731. It impacted 286103 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.

**ADAM ID: **[sm\_usd0015edq](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_usd0015edq) Magnitude 5.8 earthquake at 54.741 depth occurred on Aug 17 2026 118km E of Petropavlovsk-Kamchatsky. The epicentre of the earthquake was located at latitude 53.024 longitude 159.7106. It impacted 172 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.

**ADAM ID: **[sm\_usd0015ed8](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_usd0015ed8) Magnitude 5.4 earthquake at 10.0 depth occurred on Aug 17 2026 76km N of Ruteng. The epicentre of the earthquake was located at latitude -7.9289 longitude 120.4324. It impacted 88030 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.

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.

# 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) ---

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.

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 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.

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 Uganda. 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 various…

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…

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 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…

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…

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).

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).

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 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.

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. 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 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.

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.

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.