Search for a Dataset - Humanitarian Data Exchange

Brazil - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

90+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

Conflict and disaster population movement (flows) data for Brazil. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Bolivia (Plurinational State of) - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

60+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Bolivia (Plurinational State of). The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Belize - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

60+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Belize. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Bulgaria - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

50+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

Conflict and disaster population movement (flows) data for Bulgaria. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Burundi - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

90+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Burundi. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Argentina - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

80+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

Conflict and disaster population movement (flows) data for Argentina. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Albania - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

30+ Downloads

Time Period of the Dataset [?]: February 19, 2024-August 17, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Albania. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles 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 Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

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Anomaly Hotspots of Agricultural Production

Joint Research Centre of the European Commission

100+ Downloads

Time Period of the Dataset [?]: October 01, 2016-August 17, 2024 ... More

This dataset updates: Every month

ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning. The monthly hotspots data set is available below, but you can explore the hotspots on the ASAP Warning Explorer and access more contextual data on the downloads page. To learn more about the hotspots, refer to the warning classification methodology document.

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Uganda Displacement Data - Multi-Hazard Response/DRR Platform [IOM DTM]

International Organization for Migration (IOM)

800+ Downloads

Time Period of the Dataset [?]: January 01, 2022-July 21, 2024 ... More

This dataset updates: Every month

In response to the need for timely and accurate information on the multi-hazard in Uganda, the International Organization for Migration (IOM) in Uganda implements the Displacement Tracking Matrix (DTM). This dataset includes the number of affected individuals and households, the number of displaced individuals and households, and the most pressing needs.

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Mali : Surveillance Agricole à Tombouctou et Youwarou

Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA

100+ Downloads

Time Period of the Dataset [?]: July 11, 2023-July 11, 2024 ... More

This dataset updates: As needed

Ces données sont accessibles librement à des fins humanitaires ou de recherche. L'exploitation commerciale de tout ou partie de ces données est interdite. Aucune compensation ne peut être exigée en échange de la diffusion de ces données. Action Contre la Faim (ACF), International Rescue Committee (IRC) et la Direction du Développement et de la Coopération Suisse (DDC) doivent être mentionnés pour l'utilisation de ces données. Pour plus d'informations, veuillez visiter : www.sigsahel.info These data are freely accessible for humanitarian or research purposes. Any commercial exploitation of this data is prohibited. No compensation can be demanded in exchange for the dissemination of this data. Action Against Hunger (ACF), the International Rescue Committee (IRC), and the Swiss Agency for Development and Cooperation (SDC) must be credited for the use of this data. For more information, please visit: www.sigsahel.info

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Wildfires

Esri

80+ Downloads

Time Period of the Dataset [?]: May 06, 2020-May 06, 2020 ... More

This dataset updates: Every day

This includes layers for detectable thermal activity from VIIRS satellites for the last 7 days and MODIS satellites for the last 48 hours. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, while MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), both a part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. The application includes live feed sources for US wildfire reports (I-209), perimeters, MODIS hot spots, wildfire conditions / red flag warnings, wildfire potential and weather radar. Each of these layers provides insight into where a fire is located, its intensity and the surrounding areas susceptibility to wildfire.

Philippines - Open, validated health, climate, environment and socioeconomic data

Thinking Machines Data Science

1100+ Downloads

Time Period of the Dataset [?]: January 01, 2003-March 31, 2024 ... More

This dataset updates: As needed

The Project Climate Change, Health, and Artificial Intelligence (Project CCHAIN) dataset is a validated, open-sourced linked dataset containing 20 years (2003-2022) of climate, environmental, socioeconomic, and health dimensions at the barangay (village) level across twelve Philippine cities (Dagupan, Palayan, Navotas, Mandaluyong, Muntinlupa, Legazpi, Iloilo, Mandaue, Tacloban, Zamboanga, Cagayan de Oro, Davao). The full documentation can be accessed here. The tables are designed in a way that users can choose variables that are most relevant to their focus city and use case, and link these variables to form a single dataset by merging using standard geography codes and calendar dates. This can be done using the provided linking notebook, or offline using the user's own code. Here are some tips on how make most use of this dataset: Focus on one location. Starting with a detailed analysis of one location allows for a better understanding of the local dynamics, which may differ across locations. Choose one health data source. Pick one of either a central or local data source. Using two different data health sources is not advised because it will lead to double/overcounting of disease cases. Do not use all variables at once- do a literature review first to identify possible key variables. to identify possible key variables. More often than not, using all variables is not necessary and may even yield subpar results. Check data availability on your focus location and make sure they fit the requirements of your study. This dataset also includes household surveys tables (see schema here and here) done on partner informal settlement communities in the cities of Muntinlupa, Davao, Iloilo, and Mandaue and administered on various dates up to 2024. Due to the sensitive nature of surveys and the vulnerability of the subjects involved, requests for access must be submitted for review and approval by the Philippine Action for Community-Led Shelter Initiatives, Inc. (PACSII). To submit a request, please use this form.

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Central America Crops Vegetation and Standardized Precipitation Index

Acción contra el hambre - GIS4tech

70+ Downloads

Time Period of the Dataset [?]: January 01, 2020-April 30, 2024 ... More

This dataset updates: Every three months

Database containing information related to precipitation indices useful for analysing and comparing variations in precipitation over time and in different geographical regions and indices used in the analysis of vegetation and crops to monitor their activity and detect their presence in the territory. Key variables: Atmospherically Resistant Vegetation Index (ARVI), Normalized Difference Vegetation (NDVI), Enhanced Vegetation Index (EVI) and Structure Insensitive Pigment Index (SIPI) for rainfall information and Standardized Precipitation Index (SPI1, SPI3, SPI6, SPI9 and SPI12) for vegetation information. The indicators between SPI1 - SPI3 refer to short time periods (indicator for immediate impacts) while SPI3 - SPI12 is for more medium-term impact measurements. Each vegetation index is based on a set of data that can be collected through remote sensing, such as satellite imagery, and is designed to measure different vegetation and crop characteristics. The data are categorised by country, department and municipality and by year and month. The indices refer to the monthly average. Vegetation and precipitation data have been produced and transformed by GIS4Tech. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform: https://predisan.gis4tech.com/ca4

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Central America Agroclimatics Hazards Data

Acción contra el hambre - GIS4tech

60+ Downloads

Time Period of the Dataset [?]: January 01, 2020-June 07, 2024 ... More

This dataset updates: Every three months

A summary table is established at the municipal level with the list of agroclimatic hazards calculated from the agroclimatic indicators shown in the Vulnerability panel. For each column, the threat category in which the municipality would be found is defined (No risk, Mild threat, Moderate threat, Severe threat), and the final column represents the general summary of global threats, obtained using the 20% rule. The calculation made within each category is established through a matrix of crossed conditions. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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IGAD Region - Monthly Combined Drought Indicator(CDI) 2023

IGAD Climate Prediction and Applications Center (ICPAC)

600+ Downloads

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Every month

Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

IGAD Region - Dekadal Combined Drought Indicator(CDI) 2023

IGAD Climate Prediction and Applications Center (ICPAC)

1600+ Downloads

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Every week

Dekadal(10days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

Colombia: Desastres Naturales

OCHA Colombia

200+ Downloads

Time Period of the Dataset [?]: January 01, 2022-January 12, 2024 ... More

This dataset updates: Every three months

Desastres naturales en Colombia, fuentes OCHA y UNGRD

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Nigeria : Flood data

OCHA Nigeria

2700+ Downloads

Time Period of the Dataset [?]: January 01, 2022-August 31, 2023 ... More

This dataset updates: Every year

The dataset contains information on flood-affected people and locations in Nigeria from 2022 to 2023.

Central America water bodies percentage by ACH-GIS4Tech

Acción contra el hambre - GIS4tech

50+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: As needed

Percentage of areas covered by bodies of water that are found on the land surface or in the subsoil, whether natural or artificial, and may be fresh, brackish or salt water. Data source: OpenStreetMap. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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IGAD Region - Dekadal Combined Drought Indicator(CDI) 2022

IGAD Climate Prediction and Applications Center (ICPAC)

1600+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every week

Dekadal(10days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

IGAD Region - Monthly Combined Drought Indicator(CDI) 2022

IGAD Climate Prediction and Applications Center (ICPAC)

500+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every month

Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

WorldRiskIndex

Institute for International Law of Peace and Armed Conflict

7500+ Downloads

Time Period of the Dataset [?]: January 01, 2000-October 01, 2023 ... More

This dataset updates: Every year

The WorldRiskIndex is a statistical model that provides an assessment of the latent risk of 193 countries falling victim to a humanitarian disaster caused by extreme natural events and the negative impacts of climate change. Based on peer-reviewed concepts of risk, hazard and vulnerability, it is assumed that disaster risks are not solely shaped by the occurrence, intensity, and duration of extreme natural events, but that social factors, political conditions, and economic structures are equally responsible for whether disasters occur in the context of extreme natural events. Accordingly, both main spheres of disaster risk, exposure and vulnerability, are treated as equals. The WorldRiskIndex was initially developed in 2011 by the United Nations University Institute for Environment and Human Security (UNU-EHS) for Bündnis Entwicklung Hilft as a model with 27 indicators to analytically link and relate the two spheres of disaster risks – exposure to natural hazards such as earthquakes, storms or droughts, and societal capacities to respond to these kinds of events. The methodology of the WorldRiskIndex has been continuously revised and developed by the Institute for International Law of Peace and Armed Conflict (IFHV) since 2018. In 2022, a new, fully revised model of the WorldRiskIndex was published, enabling more accurate analyses by incorporating more than 100 high-quality indicators, new data sources, and more robust statistical methods, thus finally replacing the previously used model.

Somalia Displacement - [IDPs] - Emergency Trends Tracking (ETT) - Gedo...

International Organization for Migration (IOM)

100+ Downloads

Time Period of the Dataset [?]: January 23, 2022-May 24, 2023 ... More

This dataset updates: As needed

On the 23rd of November 2021, the Federal Government of Somalia declared a state of emergency due to drought. Early 2023, after five consecutive failed rainy seasons, most of the country is experiencing severe drought conditions. Based on previous and current drought induced displacement patterns, people will continue to move from rural to urban areas in search of humanitarian services. In order to monitor drought related displacement, DTM has deployed its Emergency Trend Tracking tool since February 2022.

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Central America - Flood risk

Acción contra el hambre - GIS4tech

90+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More

This dataset updates: As needed

Flood risk has been assessed based on data obtained from European Commission's Joint Research Centre. In this analysis, the amount of surface for each municipality that is in flood risk areas has been compiled. The hazard classification is determined using Jenks Natural Breaks Classification (or Optimization) system. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador). For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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Central America - Storm and Hurricane Risk

Acción contra el hambre - GIS4tech

90+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: As needed

Storm and hurricane risk has been assessed based on a database called IBTrACS obtained from the NOAA (National Centers for Environmental Information). The hazard classification is determined by the frequency of the events. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador) For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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