Search for a Dataset - Humanitarian Data Exchange

Peace and Security Pillar: UN Presence in Somalia, data from Secretary...

United Nations Peace and Security Data Hub

70+ Downloads

Time Period of the Dataset [?]: August 15, 2013-July 31, 2021 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UN Peace and Security Data Hub - Peace and Security Data

This dataset is an extraction of information from the Secretary General's Report on the situation in Somalia (SG reports) since 2013. It provides the number of UN personnel, including international and national, in the country.

CSV

Show 21 other recently updated datasets from United Nations Peace and Security Data Hub

UNHCR Situations: Monthly Refugees and Asylum Seekers

UNHCR - The UN Refugee Agency

90+ Downloads

Time Period of the Dataset [?]: April 30, 2018-August 12, 2024 ... More

This dataset updates: Every month

Refugees and Asylum-seekers in Southern Africa, East and Horn of Africa and the Great Lakes Region as a result of persecution, conflict, violence, human rights violations, or events seriously disturbing public order.

CSV

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

Internal Displacement Monitoring Centre (IDMC)

100+ 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 Zimbabwe. 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

Show 93 other recently updated datasets from Internal Displacement Monitoring Centre (IDMC)

occupied Palestinian territory - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

6400+ Downloads

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

This dataset updates: Every day

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Show 187 other recently updated datasets from OCHA Financial Tracking System (FTS)

WFP Global Market Monitor

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: May 19, 2021-July 15, 2024 ... More

This dataset updates: Every two weeks

The WFP Global Market Monitor monitors food prices in markets across a range of countries globally. The resources are updated every other week, with country data updating based on when data is received from country offices.

CSV

Índice dptal y mncpal en salud en el contexto del Fenómeno de La Niña en...

3iSolution

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

This dataset updates: As needed

En este ejercicio se llevó a cabo un análisis de componentes principales (PCA, por sus siglas en inglés) con el objetivo de realizar una priorización geográfica a nivel departamental y municipal en Colombia. Se utilizaron variables relacionadas con la salud, el clima y el contexto socio-demográfico para identificar y clasificar áreas prioritarias que podrían verse afectadas por fenómenos climáticos como lluvias, deslizamientos, vendavales y avenidas torrenciales. Esta priorización busca facilitar la toma de decisiones en el marco del posible Fenómeno de La Niña, con un enfoque particular en la capacidad de respuesta sanitaria de las regiones priorizadas.

PDF
XLSX

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.

CSV

FAO Data in Emergencies Monitoring System (DIEM)

Food and Agriculture Organization (FAO) of the United Nations

900+ Downloads

Time Period of the Dataset [?]: December 01, 2022-August 08, 2024 ... More

This dataset updates: Every day

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 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample. The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset. For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/ View the column descriptions here. Metadata available here. Questionnaires used for data collection available here. Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.

CSV

Yemen: Humanitarian Needs Overview

OCHA Yemen

COD 7200+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2024 ... 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. People in Need 2024: The Excel files contains people in Need and people targeted for 2024 disaggregated by sex and age group per cluster and Admin 2 level. The data was approved for use by the Humanitarian Country Team, and it’s based on the Humanitarian Program Cycle 2024 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. Intersectoral People in Need 2022: For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link. https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf Cluster People in Need 2022: The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link: https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf Yemen Population estimates for 2022: The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries. Intersectoral People in Need 2021: For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link. https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf Cluster People in Need 2021: The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link: https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf Yemen Population estimates for 2021: The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.

XLSX
CSV

Yemen: Population Estimates

OCHA Yemen

3000+ Downloads

Time Period of the Dataset [?]: November 15, 2018-December 31, 2024 ... More

This dataset updates: Every year

This dataset includes population estimates for Yemen for the years 2019, 2021, 2023, and 2024. These estimates are sourced from the Central Statistics Organization (CSO) and extend up to 2025. The information is valuable for researchers and analysts studying Yemen's population trends and for humanitarian planning purposes.

XLSX
PDF

Nigeria Displacement - [IDPs] - Site Assessment [IOM DTM]

International Organization for Migration (IOM)

6800+ Downloads

Time Period of the Dataset [?]: January 01, 2015-June 18, 2023 ... More

This dataset updates: Every six months

In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population. To get the complete data of the assessment round, kindly download the corresponding Location Assessment data here: https://data.humdata.org/dataset/nigeria-location-assessment-data.

XLSX
XLS

The Caribbean - Operational Presence

OCHA Latin America and the Caribbean (ROLAC)

100+ Downloads

Time Period of the Dataset [?]: July 10, 2024-August 15, 2024 ... More

This dataset updates: Every day

The dataset shows the operational presence of humanitarian partners in response to hurricane Beryl during the hurricane season in the Caribbean that made landfall on July 1st, 2024

CSV

Colombia - Tasas de fecundidad específica 10-14 y 15-19 años municipal 2015-2024

3iSolution

Time Period of the Dataset [?]: January 01, 2015-April 30, 2024 ... More

This dataset updates: As needed

Esta base de datos ofrece un registro exhaustivo de las tasas de fecundidad específica para adolescentes de 10 a 14 años y de 15 a 19 años en los municipios de Colombia, abarcando el periodo de 2015 a 2024. Esta información es crucial para entender las dinámicas de la salud reproductiva en adolescentes y los desafíos asociados al embarazo en edades tempranas en diferentes regiones del país. La relevancia de esta base de datos radica en su capacidad para apoyar el desarrollo de políticas públicas dirigidas a la prevención del embarazo adolescente, un tema de gran importancia tanto para la salud pública como para el bienestar social. Además, los datos pueden servir como insumo para investigaciones académicas, análisis sociodemográficos, y la planificación de programas educativos y de salud que busquen reducir las tasas de embarazo adolescente y mejorar las oportunidades para las jóvenes en Colombia. Al brindar un desglose detallado a nivel municipal, esta base de datos permite identificar áreas de mayor vulnerabilidad y necesidades específicas, facilitando intervenciones más precisas y efectivas. La información contenida también puede ser utilizada en modelos predictivos y estudios longitudinales que exploren las tendencias y factores que inciden en la fecundidad adolescente en el país.

XLSX

Colombia - Precipitaciones y eventos de inundaciones - 1990 - 2020

3iSolution

Time Period of the Dataset [?]: January 01, 2014-December 31, 2020 ... More

This dataset updates: As needed

Esta base de datos compila información detallada sobre los eventos de inundaciones ocurridos en Colombia entre 1990 y 2020, enriquecida con datos de precipitación asociados a cada evento. La precipitación diaria se ha obtenido de la fuente CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data), una de las referencias más confiables para datos climáticos a nivel global. La integración de datos de inundaciones con información precisa de precipitación permite un análisis profundo de los patrones asociados al fenómeno de La Niña, un evento climático que ha tenido un impacto significativo en la región. Esta base de datos es una herramienta invaluable para quienes están involucrados en la investigación y modelado de fenómenos climáticos, así como en la planificación y prevención de desastres. Además de su utilidad para estudios históricos, esta base de datos puede servir como insumo en modelos predictivos para anticipar futuros eventos relacionados con La Niña, contribuyendo a la toma de decisiones informadas y a la implementación de medidas de mitigación en sectores vulnerables.

XLSX

Colombia - The Great Integrated Household Survey (GEIH) 2023 - 3iS

3iSolution

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

This dataset updates: Every year

La Gran Encuesta Integrada de Hogares (GEIH) 2023 es una de las fuentes de datos más completas y relevantes para el análisis socioeconómico en Colombia. Esta base de datos, desarrollada por el Departamento Administrativo Nacional de Estadística (DANE), ofrece una visión detallada y actualizada sobre las dinámicas del mercado laboral y los ingresos de los hogares en el país. Con una cobertura anual que incluye aproximadamente 315,000 hogares a nivel nacional, la GEIH permite realizar análisis profundos y diversos que pueden informar tanto políticas públicas como investigaciones en áreas clave como la pobreza, el empleo, y la distribución de ingresos. Los datos recolectados permiten caracterizar a la población según sexo, edad, nivel educativo, afiliación al sistema de seguridad social, y otros indicadores demográficos y socioeconómicos. Además, se abordan temas cruciales como las condiciones de empleo, desempleo, y la población fuera de la fuerza de trabajo. Esta base de datos es esencial no solo para análisis humanitarios, como la identificación de poblaciones vulnerables y la evaluación de la pobreza monetaria, sino también para estudios más amplios que buscan entender las tendencias económicas y sociales en Colombia.

CSV
PDF

Colombia - IPC, Inflación y Abastecimiento

3iSolution

Time Period of the Dataset [?]: January 01, 2021-December 31, 2023 ... More

This dataset updates: As needed

Esta base de datos proporciona información crucial sobre los precios, el Índice de Precios al Consumidor (IPC), la inflación y el abastecimiento de bienes en Colombia durante el año 2023. Desarrollada para ofrecer un análisis detallado de la economía del país, esta fuente de datos es indispensable para comprender las dinámicas inflacionarias, el costo de vida, y las tendencias de mercado. La relevancia de esta base de datos radica en su capacidad para apoyar decisiones de política económica, planificación empresarial y análisis humanitarios, especialmente en contextos donde los cambios en los precios y la inflación afectan directamente el bienestar de la población. Además, los datos de abastecimiento ofrecen una visión integral sobre la disponibilidad de productos básicos en distintas regiones del país, lo que es fundamental para estudios sobre seguridad alimentaria y economía regional. Esta base de datos es esencial para analistas y tomadores de decisiones que necesitan un entendimiento claro de las tendencias de precios y su impacto en el poder adquisitivo de los hogares colombianos.

XLSX

Satellite detected water extents between 10 and 14 August 2024 over South Sudan

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: August 16, 2024-August 16, 2024 ... More

This dataset updates: Never

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 August 2024 compared with the period from 01 to 05 August 2024. Within the cloud free analysed areas of about 620,000 km², a total of about 30,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,800 km² since the period between 01 to 05 August 2024. Based on Worldpop population data and the maximal flood water extent ~505,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Show 3 other recently updated datasets from United Nations Satellite Centre (UNOSAT)

Zimbabwe - Education Indicators

UNESCO

1100+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

Education indicators for Zimbabwe. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic (made 2024 February)

CSV

Show 237 other recently updated datasets from UNESCO

Ukraine: NRC Frontline Hromada Buffer Analysis

Norwegian Refugee Council

10+ Downloads

Time Period of the Dataset [?]: August 01, 2024-August 15, 2024 ... More

This dataset updates: Every two weeks

This data is based on publicly available data found online, it is analysed and produced for the humanitarian community to inform decision making and processes. All data should be checked with relevant authorities.

XLSX

CERF Donor Contributions

Central Emergency Response Fund

200+ Downloads

Time Period of the Dataset [?]: June 19, 2022-June 07, 2024 ... More

This dataset updates: Every week

This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.

CSV
JSON

Nicaragua Most Likely FEWS NET Acutely Food Insecure Population Estimates Data

FEWS NET

Time Period of the Dataset [?]: October 01, 2017-August 17, 2024 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: FEWS NET - Most Likely Acutely Food Insecure Population Estimates Data

Nicaragua Most Likely FEWS NET Acutely Food Insecure Population Estimates Data Since 2017 to 2019.

Show 72 other recently updated datasets from FEWS NET

Lesotho Near Term Projection FEWS NET Acute Food Insecurity Classifications Data

FEWS NET

Time Period of the Dataset [?]: October 01, 2020-August 17, 2024 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: FEWS NET - Near Term Projection Acute Food Insecurity Classifications Data

Lesotho Near Term Projection FEWS NET Acute Food Insecurity Classifications data since 2020 to 2022.

Show 95 other recently updated datasets from FEWS NET

Humanitarian Response Plan projects for Iran

OCHA Financial Tracking System (FTS)

10+ Downloads

Time Period of the Dataset [?]: January 01, 2018-August 17, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: OCHA FTS - Humanitarian Response Plan Projects

Projects proposed, in progress, or completed as part of the annual Iran Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Important: some projects in Iran might be missing, and others might not apply specifically to Iran. See Caveats under the Metadata tab.