Affected population Humanitarian Datasets | Find Crisis Data

State of Palestine: Impact of the Escalation of Hostilities

Palestinian Central Bureau of Statistics

1100+ Downloads

Time Period of the Dataset [?]: October 07, 2023-April 22, 2025 ... More

This dataset updates: Every week

This dataset shows key figures from the escalation of hostilities since 7 October 2023.

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EM-DAT - Country Profiles

Centre for Research on the Epidemiology of Disasters

5800+ Downloads

Time Period of the Dataset [?]: January 01, 2000-April 14, 2025 ... More

This dataset updates: Every week

Aggregated figures for Natural Disasters in EM-DAT Documentation on the Country Profiles available here More on the EM-DAT database : website / data portal 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)

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FAO EVE Global Flood Monitoring System

Food and Agriculture Organization (FAO) of the United Nations

100+ Downloads

Time Period of the Dataset [?]: January 07, 2024-April 15, 2025 ... More

This dataset updates: Every two weeks

The DIEM Events Visualization in Emergencies (EVE) system provides resources to enhance the understanding of flood events and their impact on different land cover types, with a particular focus on agricultural areas. EVE provides a flood persistence analysis as well as an estimation of the population exposed to such events. EVE utilizes satellite-derived data from the NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) at a 375-meter resolution, alongside land cover data from the European Space Agency’s WorldCover 10m 2021 dataset. Covering approximately 40 countries, the system offers daily and biweekly insights, providing a continuously updated view of flood dynamics and their effects. Access the FAO EVE user guide to learn more. The platform presents results through interactive maps, charts, and tables, supporting decision-making in disaster management, agricultural planning, and environmental monitoring. Most resources are publicly accessible, though downloading aggregated data at the admin2 level requires a DIEM account. EVE products are preliminary analyses and have not yet undergone field validation. Users are encouraged to provide ground feedback to the FAO Data in Emergencies (DIEM) team to enhance the accuracy and utility of the data.

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

International Organization for Migration (IOM)

100+ Downloads

Time Period of the Dataset [?]: October 07, 2023-April 09, 2025 ... More

This dataset updates: Every week

In response to the Somalia’s severe drought beginning in November 2021, DTM Somalia launched an Emergency Trends Tracking (ETT) tool first in Gedo and Bay regions in 2022, and subsequently in Hiraan, Banadir and Middle Shabelle regions in 2023 to monitor drought related displacement trends and hotspots in support of operational planning. However, during the first half of 2023, conflict and flooding displacements have been significant. Therefore, DTM restructured its ETT tool to capture multi-shock displacements (drought, flood, conflict and other) from October 2023. In April 2024, ETT was conducted to monitor displacements movements during the Gu rainy season. This latest round of ETT was initiated in February 2025 to monitor displacement movements during the Jilaal dry season. ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance.

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DRC Displacement - [IDPs/Returnees] - NORTH & SOUTH KIVU / Rapid...

International Organization for Migration (IOM)

1600+ Downloads

Time Period of the Dataset [?]: November 01, 2022-March 11, 2025 ... More

This dataset updates: Every six months

The dataset contains numbers of internally displaced individuals and returnees at admin 2 level (Territories) in North Kivu province. Since November 2021, attacks by the former rebel group M 23 have resumed and increased against the congolese armed forces (FARDC) in the east of the DRC. These clashes have further intensified since March 2022, due to which the M23 seized in June 2022 the town of Bunagana located on the border with Uganda, as well as other neighboring localities in the regions of Jomba, Bweza, Kisigari and Busanza in Rutshuru territory. At the end of October 2022, the M23 extended their hold after several offensives, expanding their control over the entire Bwisha chiefdom including the territorial capital and the town of Kiwanja, with alleged plans to extend over the entire territory

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INFORM Severity Index

ACAPS

11000+ Downloads

Time Period of the Dataset [?]: January 01, 2019-March 31, 2025 ... More

This dataset updates: Every month

The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index Users can specify time period and download from: https://www.acaps.org/en/data#dataset-3

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Burundi Displacement Data - Emergency Event Tracking [IOM DTM]

International Organization for Migration (IOM)

7500+ Downloads

Time Period of the Dataset [?]: March 02, 2020-March 22, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: IOM - DTM Event and Flow Tracking

The DTM Emergency Tracking activated on an ad hoc basis. Only Emergency situations which cause significant damage and require an immediate response or cause displacement taken into account.

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Yemen: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

8100+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

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Ukraine: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2900+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

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Colombia: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2200+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

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Burundi Displacement - [IDPs] - Baseline Assessment [IOM DTM]

International Organization for Migration (IOM)

9600+ Downloads

Time Period of the Dataset [?]: January 31, 2016-November 28, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: IOM - DTM Baseline Assessment

The dataset contains IDPs individuals and households at admin2 level. IOM has been developing a Displacement Tracking Matrix (DTM) since May 2015 aimed at effectively monitoring and evaluating the flows of Burundian IDPs and providing accurate information on the current IDP situation. The DTM in Burundi has been successfully used in 2014, upon the request of the humanitarian community and the GoB when some areas of Bujumbura were flooded, which caused displacement. This tool allowed registering IDPs in four IDP sites and in host families in four locations and identifying their humanitarian needs. The dataset includes returnees from abroad who are still displaced in the country. They are categorized as IDPs due to their continued displacement within the country.

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Colombia: Desplazamiento y Confinamiento - Probabilidad y estimación

3iSolution

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-June 30, 2025 ... More

This dataset updates: Every six months

Datos sobre estimación de personas que pueden ser víctima por desplazamiento individual, masivo y confinamientos y probabilidad de presentarse eventos de desplazamiento y confinamiento para el primer semestre del año 2025. El archivo de Excel incluye 3 hojas con información sobre: • Estimación_Desplaza_individual: Estimación de personas que pueden ser víctimas por eventos de desplazamiento individual y probabilidad de presentarse eventos de desplazamiento individual en el primer semestre del año 2025. • Estimación_Desplaza_masivo: Estimación de personas que pueden ser víctimas por eventos de desplazamiento masivo y probabilidad de presentarse eventos de desplazamiento masivos en el primer semestre del año 2025. • Estimación_Confinamiento: Estimación de personas que pueden ser víctimas por eventos de confinamiento y probabilidad de presentarse eventos de confinamientos en el primer semestre del año 2025.

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Coronavirus (COVID-19) Cases and Deaths

World Health Organization

25000+ Downloads

Time Period of the Dataset [?]: January 08, 2020-December 31, 2023 ... More

This dataset updates: Every week

Coronavirus COVID-19 daily new and cumulative cases and deaths by country.

Afghanistan - Natural Disaster Incidents

OCHA Afghanistan

90+ Downloads

Time Period of the Dataset [?]: January 01, 2023-March 03, 2025 ... More

This dataset updates: Every three months

1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

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Mozambique - Cyclone Jude

OCHA Mozambique

10+ Downloads

Time Period of the Dataset [?]: March 13, 2025-March 17, 2025 ... More

This dataset updates: As needed

This dataset will help the humanitarian community to understand the Needs after the cyclone Jude.

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

International Organization for Migration (IOM)

1100+ Downloads

Time Period of the Dataset [?]: January 01, 2022-February 28, 2025 ... More

This dataset updates: Every three months

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: JIAF Humanitarian Needs People in Need and Severity

OCHA Mali

50+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Sudan: JIAF Humanitarian Needs People in Need and Severity

OCHA Sudan

40+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Chad: JIAF Humanitarian Needs People in Need and Severity

OCHA Chad

70+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

République Centrafricaine : Statistiques Détaillées des Sites Personnes...

OCHA Central African Republic

2300+ Downloads

Time Period of the Dataset [?]: October 01, 2020-December 31, 2024 ... More

This dataset updates: Every three months

Ce jeu de données, validé par la commission des mouvements de population, donne l'historique des PDIs (Personnes Déplacées Internes) et Réfugiés par sous-préfecture.

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Mozambique: Survey for Inclusive Rapid Assessment (SIRA)

Light for the World

30+ Downloads

Time Period of the Dataset [?]: May 01, 2024-May 01, 2024 ... More

This dataset updates: As needed

SIRA Dataset for disability and older age - Cabo Delgado, Mozambique Background The Survey for Inclusive Rapid Assessment (SIRA) Dataset for disability and older age was collected in May 2024 in Pemba (urban) and Metuge (rural) localities of Cabo Delgado, Mozambique, as part of the Data that Matters project funded by Elrha. Stratified clustered random sampling was used in this survey, the aim of which is to assess the barriers and enablers people face in accessing humanitarian assistance, in particular persons with disabilities and older persons. The Data The dataset consists of: * SIRA Dataset #1. Household-level data: locality, household size, displacement status, registration * SIRA Dataset #2. Individual-level data: sex, age, education, health, employment * SIRA Dataset #3. Individual-level data: Washington Group (WG) questions taken from short (WG_SS), extended (WG-ES) of questions and child functioning modules (0-4 and 5-17 years). Questions include functioning domains associated with mental health. * SIRA Dataset #4. Individual-level data: barriers in accessing humanitarian assistance for i) distributions, ii) services, iii) livelihood opportunities, iv) sexual, maternal and reproductive health, v) safety and security. The datasets can be merged via the respondent identifier "indID", with "hhID" allowing to group individuals linked to a common household.

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Syrian Arab Republic: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2800+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

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Afghanistan - Natural Disaster Incidents in 2024

OCHA Afghanistan

400+ Downloads

Time Period of the Dataset [?]: January 01, 2024-December 09, 2024 ... More

This dataset updates: Every three months

1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.