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

Internal Displacement Monitoring Centre (IDMC)

200+ Downloads

Time Period of the Dataset [?]: November 22, 2024-May 21, 2025 ... More

This dataset updates: Every day

Conflict and disaster population movement (flows) data for Somalia. 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.

CSV

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

Internal Displacement Monitoring Centre (IDMC)

100+ Downloads

Time Period of the Dataset [?]: November 22, 2024-May 21, 2025 ... 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.

CSV

Anomaly Hotspots of Agricultural Production

Joint Research Centre of the European Commission

500+ Downloads

Time Period of the Dataset [?]: October 01, 2016-April 11, 2025 ... 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.

CSV

ReliefWeb Disasters List

ReliefWeb

200+ Downloads

Time Period of the Dataset [?]: May 20, 2016-May 15, 2025 ... More

This dataset updates: Every week

ReliefWeb is a humanitarian information service provided by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). ReliefWeb's editorial team monitors and collects information from more than 4,000 key sources, including humanitarian agencies at the international and local levels, governments, think-tanks and research institutions, and the media. ReliefWeb disaster dataset provides an overview of the situation and situation reports, news and press releases, assessments, evaluations, infographics and maps of natural disasters with humanitarian impact from 1981 until today.

CSV

HDX Signals

HDX

400+ Downloads

Time Period of the Dataset [?]: May 15, 1998-May 10, 2025 ... More

This dataset updates: Every week

HDX Signals monitors key datasets and generates automated emails when significant, negative changes are detected. Receive signals direct in your inbox by signing up on the home page. Explore historical signals and access all email content in the resources below.

CSV

IGAD Region - Dekadal Combined Drought Indicator (CDI) 2025

IGAD Climate Prediction and Applications Center (ICPAC)

80+ Downloads

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

This dataset updates: Every week

This dataset is part of the data series [?]: IGAD - Dekadal Combined Drought Indicators

Dekadal (10 days) 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) 2025

IGAD Climate Prediction and Applications Center (ICPAC)

30+ Downloads

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

Ukraine Situation Protection Profiling and Monitoring - July - October 2024

UNHCR - The UN Refugee Agency

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

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between July and October 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the profiles, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

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Ukraine Situation Protection Profiling and Monitoring - October 2023 - April 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 01, 2023-April 30, 2024 ... More

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between October 2023 and April 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the demographics, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

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Romania - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 20, 2024-July 27, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Romania is a comprehensive regional assessment conducted from May to July 2024, focusing on the needs of refugees in Romania, particularly those from Ukraine. This multi-sectoral survey aims to capture key data on refugees' socio-economic integration, access to national systems, and their priorities for the coming year, providing valuable insights to inform the 2025 Refugee Response Plan (RRP). The survey employs a stratified random sampling method and involves face-to-face and online interviews with refugees, covering topics such as health, education, protection, food security, and livelihoods. The collected data is anonymized and cleaned for use in policy planning and intervention development. The findings highlight gaps in services and provide crucial information on the changing trends in refugees’ needs, contributing to a more targeted and effective response to refugee challenges in Romania.

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Czechia - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 30, 2024-July 14, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 SEIS in Czechia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of the annual interagency regional process led by UNHCR, the survey supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. By addressing key areas such as protection, health, education, shelter, livelihoods, and food security, it delivers essential data to inform evidence-based planning and ensure the diverse needs of refugee groups are met. Data collection took place from May to July 2024 and followed a purposive sampling approach. While not random, the methodology was designed to reflect the geographical and gender distribution of the refugee population using Temporary Protection (TP) data from the Ministry of Interior. Enumerators worked within these parameters, using the snowball method to identify respondents who matched the criteria. The survey was a collaborative effort by UNHCR and the International Organization for Migration. Its findings will inform strategic planning and resource allocation to improve the welfare and resilience of refugees in Czechia.

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Mozambique - Results Monitoring Survey (RMS) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 27, 2023-April 07, 2024 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) in Mozambique, conducted from February 27, 2023, to April 7, 2024, by CS Research and the United Nations High Commissioner for Refugees, assessed the impact in areas such as Health and Nutrition, Water Sanitation Hygiene, Protection, and Education among refugees, asylum-seekers, and IDPs. Covering regions like Cabo Delgado and Nampula, the survey employed mixed sampling methods, including phone surveys (CATI) for widespread geographical coverage, excluding Nampula City and Maratane Camp, and face-to-face interviews (CAPI) in specified areas. This approach, integrating non-probabilistic and probabilistic techniques, and stratified by gender, provided comprehensive data, crucial for UNHCR’s strategic planning and reporting in Mozambique.

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Poland - Multi-Sector Needs Assessment (MSNA) - 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: July 13, 2023-August 21, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

A multi-sectoral needs assessment was conducted in Poland between July 13, 2023 and August 25, 2023, surveying 5,645 households comprising 13,421 individuals. The assessment aimed to capture the needs of refugees in Poland, understand their level of access to basic services, how their needs are currently being met, gaps in services, and priorities for the refugee response in the coming year. Key findings will inform the 2024 Regional Refugee Response Plan for Poland, providing critical data on priorities and funding requirements to support refugees. With 5,645 households surveyed across multiple sectors, the assessment provides a robust evidence base to shape a more effective, responsive refugee program in Poland.

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South Sudan - Results Monitoring Survey (RMS) - 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: December 01, 2022-January 23, 2023 ... More

This dataset updates: Never

The Results-Monitoring Survey (RMS) was conducted by UNHCR South Sudan in the last quarter of 2022 to serve as a pilot tool for measuring country operations' results regarding internally displaced persons (IDPs). Using computer-assisted personal interviews, around 4,634 questionnaires were carried out proportionally across eight states. The target was IDPs in camps and non-camp settings, including hard-to-reach areas. A simple random sampling method was used to allow generalizability and minimize bias. The questionnaire was tailored to the local context while drawing from the standard RMS instrument. Sample sizes were calculated for states and counties based on displacement figures and partner presence. A 95% confidence level and 5% margin of error determined the state samples. The county samples used 90% confidence and 5% margins given the need for greater precision at lower administrative levels. Total target was 5,309 households, allocated proportionally. High response rate (97%) exceeded targets in some counties. The pilot provides baseline data on results indicators to track over time. Key aspects were representative sampling, localized questionnaire, sufficient sample size, and community access enabling quality data for ongoing monitoring.

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Congo - Results Monitoring Survey (RMS) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 17, 2023-February 09, 2023 ... More

This dataset updates: Never

The 2023 Results Monitoring Survey (RMS) in the Republic of Congo aimed to monitor key impact and outcome indicators related to education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation for refugees and asylum seekers. The survey was conducted between January 17 and February 9, 2023, targeting 1,900 households across Brazzaville, Pointe-Noire, Likouala, and Cuvette. The survey achieved interviews with 1,473 households (77.53% coverage), with data collected through Computer-Assisted Personal Interviews (CAPI). The results contribute to an evidence base for UNHCR’s multi-year strategies in the country.

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Republic of Moldova - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: June 02, 2024-July 12, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Moldova, conducted by UNHCR in partnership with REACH, provides essential data on the needs of refugees and third-country nationals displaced from Ukraine. Building on the 2023 Multi-Sectoral Needs Assessment (MSNA), this household-level survey collected insights on protection, food security, education, livelihoods, health, and socio-economic inclusion to inform humanitarian planning and decision-making. A total of 622 in-person interviews were conducted across Moldova (excluding the Transnistrian region) between June 3 and July 12, 2024. The survey used purposive and respondent-assisted sampling to capture household and individual-level data on living conditions, access to services, and integration challenges. This anonymized dataset supports stakeholders in addressing the needs of displaced populations and promoting integration and access to essential services in Moldova.

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Slovakia - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 21, 2024-July 27, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Slovakia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of an annual interagency regional process led by UNHCR, this assessment supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. Covering topics such as protection, health, education, shelter, livelihoods, and food security, the survey offers critical data to inform evidence-based planning and prioritization, ensuring the specific needs of different refugee groups are addressed. Data collection was conducted through face-to-face interviews from May to July 2024 with a probability-based random sample of refugee households, managed collaboratively by UNHCR and the International Organization for Migration. Findings will guide strategic interventions and resource allocation to enhance the welfare and resilience of the refugee population in Slovakia.

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Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 10, 2024-October 29, 2024 ... More

This dataset updates: Never

The 2024 Regional Socio-Economic Insights Survey (SEIS) provides critical data to inform the 2025 Regional Refugee Response Plan (RRP), supporting strategic planning and funding allocation to address regional needs. This consolidated dataset includes comprehensive information from Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia, covering essential topics such as demographics, protection, education, socio-economic inclusion and livelihoods, health, and accommodation. By synthesizing data from these ten countries, the SEIS offers a detailed view of key areas impacting refugee and host communities, supporting evidence-based decisions for targeted interventions and resource mobilization across the region.

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Ethiopia - Palmer Drought Severity Index (PDSI)

3iSolution

70+ Downloads

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

This dataset updates: As needed

This dataset provides Palmer Drought Severity Index (PDSI) values for Ethiopia from 2020 to 2024, offering insights into drought conditions across the country. The PDSI is a widely used drought index that measures deviations in soil moisture conditions from the long-term average, helping to identify both drought and wet conditions. Unlike traditional PDSI calculations that rely on the Thornthwaite method for estimating potential evapotranspiration (ET), this dataset utilizes a more physically based Penman-Monteith reference ET, which accounts for: Solar radiation Temperature Humidity Windspeed Interpretation of PDSI Values: PDSI between -0.5 and 0.5 → Near-normal soil moisture conditions PDSI < -4 → Extreme drought PDSI > 4 → Very wet conditions

South Sudan - Community-Based Assessment - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 13, 2024-September 26, 2024 ... More

This dataset updates: Never

The Community-Based Assessment (CBA) in South Sudan, 2024 evaluates the capacity of high-return locations in South Sudan to absorb additional populations. This assessment employed a mixed-methods approach, including quantitative household surveys, qualitative assessments, and infrastructure evaluations. Data collection was conducted between May and September 2024 through face-to-face interviews in selected payams across Northern Bahr el Ghazal, Eastern Equatoria, Central Equatoria, and Western Bahr el Ghazal. The dataset comprises anonymized household and infrastructure survey data, with stratified random sampling used to ensure representation across returnees, host communities, internally displaced persons (IDPs), and refugees. The study explores key humanitarian themes, including health, water sanitation and hygiene (WASH), education, and housing, land, and property (HLP). The collected data aims to inform operational planning, self-reliance programs, and service provision strategies for displaced and returning populations. The dataset provides valuable insights to support evidence-based decision-making and improve response strategies for communities affected by displacement in South Sudan.

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Global Violent Deaths (GVD) database 2004-2021, 2023 update, version 1.0

Small Arms Survey

50+ Downloads

Time Period of the Dataset [?]: January 01, 2004-May 21, 2025 ... More

This dataset updates: Every year

The Global Violent Deaths (GVD) database integrates indicators on the major causes of lethal interpersonal and communal violence—intentional and unintentional homicides, killings in legal interventions, and direct conflict deaths—and combines them in a single violent deaths indicator. These indicators are also reported in a disaggregated format by the sex of the victim and perpetration mechanism, namely firearm killings. The GVD database tracks this information across 222 countries and territories worldwide yearly from 2004 and reports both crude counts and rates per 100,000 population. The input data is retrieved from reliable sources, such as governments, national and international organizations, trusted non-governmental organizations, and verified media outlets. Missing data points are estimated using the methods described in this document. The GVD database is updated annually by the Small Arms Survey, an associated programme of the Geneva Graduate Institute, which strengthens the capacity of governments and practitioners to reduce illicit arms flows and armed violence. This is done through three mutually reinforcing activities: the generation of policy-relevant knowledge, the development of authoritative resources and tools, and the provision of training and other services. The GVD database benefits from financial support from governments and organizations, and notably its core donors, who are publicly disclosed online. The Small Arms Survey follows rigorous procedures to ensure that the input data, the applied methods, and the results are of reasonable quality. If the user encounters apparent errors, they should contact us via email at media@smallarmssurvey.org. Regions, sub-regions, countries, and territories are defined based on the classification system used by the UN Statistical Division (2013 revision), except for Kosovo, England and Wales, Northern Ireland, and Scotland. The names and designations reported in the database do not imply any sort of endorsement by the Small Arms Survey.

CSV

IGAD Region - Monthly Combined Drought Indicator (CDI) 2024

IGAD Climate Prediction and Applications Center (ICPAC)

100+ Downloads

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

This dataset updates: Every month

This dataset is part of the data series [?]: IGAD - Dekadal Combined Drought Indicators

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) 2024

IGAD Climate Prediction and Applications Center (ICPAC)

300+ Downloads

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

This dataset updates: Every week

This dataset is part of the data series [?]: IGAD - Dekadal Combined Drought Indicators

Dekadal (10 days) 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

Mozambique: Survey for Inclusive Rapid Assessment (SIRA)

Light for the World

40+ 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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Colombia - Elementos Expuestos-Predicción Impactos por Fenómenos Hidrometeorológicos

OCHA Colombia

20+ Downloads

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

This dataset updates: Never

Datos sobre los elementos expuestos en zonas susceptibles a inundaciones, sequías meteorológicas y deslizamientos durante el primer trimestre de 2025. El archivo de Excel incluye 12 hojas con información detallada sobre: Personas, hogares y viviendas. Zonas de cultivos. Instituciones educativas Centros de salud. En zonas susceptibles de inundación, sequía meteorológica y deslizamientos para el primer trimestre del año, así mismo se adiciono para cada resultado el nivel de riesgo para cada municipio a partir del Índice Municipal de Riesgo Ajustado por Capacidades desarrollado por el DNP. Las fuentes de información utilizadas son el IDEAM, el DANE, DNP - Clúster de Salud y UNICEF Emergencias.

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