AndreaBozzo/ceres-open-data-index huggingface dataset:
Myanmar administrative lines shapefile

Myanmar administrative level 0-3 lines shapefile derived from the [Myanmar Township Boundaries MIMU v9.3](https://data.humdata.org/dataset/mimu-geonode-myanmar-township-boundaries-mimu) Myanmar Township boundaries (ADM3) provided by Myanmar Information Management Unit (MIMU).

The 'admLevel' field indicates each boundary segment administrative level, with '99' representing shorelines. 

These line segment administrative levels reflect the 18-feature administrative structure.  Thus boundaries between "Bago (West)" and "Bago (East)", for instance, are therefore tagged as admLevel 1.


Tags: administrative boundaries-divisions
Organization: OCHA Field Information Services Section (FISS)
Myanmar and Bangladesh combined administrative level 2 boundaries

Emergency GIS union of the [Bangladesh - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-bgd) administrative level 2 (district or "zila") features and [Myanmar District Boundaries MIMU v9.3](https://data.humdata.org/dataset/mimu-geonode-myanmar-district-boundaries-mimu) administrative level 2 (district) features - shapefile and gazetteer.

Tags: administrative boundaries-divisions
Organization: OCHA Field Information Services Section (FISS)
Afghanistan - Who does What Where (January to March 2023)

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed [here](https://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Population Movement from Sudan to South Sudan

The Relief and Rehabilitation Commission (RRC), UNHCR and IOM dataset tracks the movement of people from Sudan to South Sudan. The data is collected daily through a number of points of entry along the border of Sudan to South Sudan. Since 16 April 2023, South Sudan has received thousands of new arrivals.


Tags: border crossings, complex emergency-conflict-security, forced displacement, refugees, returnees
Organization: OCHA South Sudan
Haiti Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains national and subnational boundary feature classes of Haiti for joining (linking) to attribute data provided in tables prepared by the U.S. Census Bureau.

The tabular data contain total population for 2003 (census) and 2015 (population estimates), as well as information relating to education, health, information and communication technology, and transportation. 

Organization: U.S. Census Bureau
Diagnóstico de Necesidades y Capacidades en Manejo y Analítica de Información

El presente documento tiene como propósito presentar de manera específica un diagnóstico territorial en capacidades y necesidades en el manejo de la analítica de información para en los Grupos Locales de Educación en Emergencia (GLE) en los departamentos de Arauca, Atlántico, Chocó , La Guajira, Magdalena, Nariño y Norte Santander con sus Entidades Territoriales Certificadas en Educación. Como insumo para la realización de este documento se utilizaron los resultados del estudio desarrollado durante 2020, así como la ruta metodológica propuesta para la recolección y análisis del proceso, “Diagnóstico de capacidades y necesidades en el manejo de la información y analítica de la información del Clúster de Educación y Sector de Educación en Colombia”, desarrollado por iMMAP en asocio con UNICEF Colombia. El propósito principal del estudio se concentró en promover el conocimiento y diagnosticar el nivel de información, percepciones, conocimiento, actitudes, prácticas y experiencias y necesidades de las personas encargadas o involucradas en el flujo y manejo de información de las organizaciones pertenecientes al Clúster/ Sector.

Tags: education
Organization: iMMAP Inc.
Afghanistan - Natural Disaster Incidents in 2023

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.

Tags: affected population, climate-weather, hxl
Organization: OCHA Afghanistan
Central African Republic Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2016 (estimates) and 2021 (estimates), as well as five-year age group and sex (2016 only), and information relating to ethnicity, religion, language, housing units, health, agriculture, displacement.

Organization: U.S. Census Bureau
Jamaica Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first- and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2011 (census) through 2019 (estimates), as well as five-year age group and sex, and information relating to ethnicity and religion, housing units, households, amenities, and poverty.

An additional table contains subnational population estimates and projections by 5-year age group and sex for the years 2015 to 2030, based on trends between Jamaica’s 2001 and 2011 populations censuses.

Organization: U.S. Census Bureau
Fichas Territoriales

iMMAP, en colaboración con el proyecto de emergencias de UNICEF, ha creado un informe detallando la situación actual de niños, niñas y adolescentes en los  departamentos de Arauca, Atlántico , Chocó, La Guajira , Norte de Santander  y Magdalena, Colombia. El objetivo principal de este informe es generar conciencia y promover la protección de los niños y niñas en el área. 

El informe proporciona una visión general de los impactos de la Migración, Desastres Naturales y Conflicto Armado en la zona, utilizando una variedad de fuentes oficiales y datos primarios y secundarios. Los principales riesgos y necesidades son destacados, y se proporcionan mensajes clave que señalan las situaciones prioritarias que deben ser consideradas para mejorar la protección de los niños y niñas. 

En resumen, el informe elaborado por IMMAP y UNICEF busca destacar la situación actual de los niños y niñas en el departamento de Magdalena, Colombia, y promover la protección y el bienestar de esta población vulnerable. 

Tags: education
Organization: iMMAP Inc.
Sudan:2022 MSNA Houshold Survey without Refugees

The purpose of the 2022 Sudan Multi-Sector Needs Assessment (MSNA) is to provide household data on the priority humanitarian needs of populations in States around Sudan. The findings intend to provide timely updates on key sectoral needs to inform humanitarian response and strategic programming for non-displaced, and IDP households. The 2022 MSNA will inform the 2023 Humanitarian Needs Overview (HNO) and the 2023 Humanitarian Response Plan (HRP).
Data was collected through structured household interviews using the KOBO data collection package. Findings are representative at the state level with a confidence interval of 98% and a 5% margin of error.
The MSNA data is a relational dataset

Tags: education, food security, health, internally displaced persons-idp, needs assessment, non-food items-nfi, nutrition, protection, water sanitation and hygiene-wash
Organization: OCHA Sudan
Afghanistan - Who does What Where (October to December 2022)

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed [here](https://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Türkiye Earthquake  (Twitter data)

This resource provides important information about individuals who were reported missing or stranded, requests and offers of shelter, and general calls for assistance, such as requests for food and donations, from Twitter data collected during The 2023 Türkiye-Syria earthquake. Additionally, the resource provides damage reports collected from Twitter in the form of images. The data provides district-level aggregation of particular type of information, raw data points, population, and a district-level impact score. The data was collected using the AIDR system (http://aidr.qcri.org/) and processed/analyzed using machine learning and rule-based techniques. 

Tags: damage assessment, demographics, earthquake-tsunami, hxl, shelter
Organization: Qatar Computing Research Institute
Cap Haitien, Haiti Sanitation Zoning Assessment

Sanitation zoning assessment data for the Cap Haitien, Haiti region. Attribute table includes data on population density, socioeconomic status, suitability of pit latrines, and suggested sewage construction priority zones. These data were developed under the USAID Water and Sanitation Project in collaboration with the Cap-Haitian municipal government and DINEPA. These data do not reflect the opinion of USAID or the US Government.

Tags: demographics, facilities-infrastructure, geodata, socioeconomics, urban, water sanitation and hygiene-wash
Organization: Sustainable Organic Integrated Livelihoods
Mali Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2018 (population projections), as well as information relating to IDP movements, nationality, migration, language, economy, households, households, building materials, and amenities.

Organization: U.S. Census Bureau
Haiti - Cap Haitien Flood Event Extents

This file contains shapefiles depicting the extent of 5-, 25-, and 100- year flood recurrence events. This data was created by the World Bank and should be credited as follows:
Plan d’Élaboration propre basée sur les données de la Banque Mondiale: Inondation de Récurrence (5 ans / 25 ans / 100 ans)

Tags: cyclones-hurricanes-typhoons, flooding, geodata, hazards and risk, urban
Organization: Sustainable Organic Integrated Livelihoods
Türkiye southeast - Subnational Administrative Level 1-3 Boundaries

Türkiye southeast - Subnational Administrative Level 1-3 boundaries and gazetteer

These tables extend the official [Türkiye - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-tur) to administrative level 3 in thirteen of the south-eastern provinces (vilayet).  

PLEASE SEE CAVEATS.

Tags: administrative boundaries-divisions
Organization: OCHA Field Information Services Section (FISS)
Dominican Republic Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-, second-, third-, and fourth-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2020 (population estimates), as well as five-year age group and sex, and information relating to households, housing units, health, economics, information and communication technology, and agriculture.

Organization: U.S. Census Bureau
Caracterización de asentamientos nuevos 2020

El propósito de esta caracterización es el de validar nuevos asentamientos identificados en 
Colombia a partir de imágenes satelitales; lo aportado en misiones a terreno y de organizaciones internacionales que hacen respuesta humanitaria en asentamientos. Por lo cual es un ejercicio observacional de la estructura física de los asentamientos.
En cuanto a los "Asentamientos Nuevos" seleccionados, el criterio geográfico corresponde a aquellos grupos de individuos que se han establecido en zonas donde no habían unidades de vivienda en un corto plazo (Se toma por ejemplo un periodo de tiempo comprendido entre 2017 y 2022), además se tiene en cuenta que los " Asentamientos Nuevos" que están mayoritariamente localizados en zonas periurbanas (espacio de delimitación entre lo urbano y lo rural).
Las características que usualmente serían relacionadas con los "Asentamientos Nuevos", incluyen:
La ausencia de equipamiento urbano (Parques, salones comunales, alumbrado público, andenes, etc).
Trazado desordenado, inexistencia de una red vial (pavimentada) e irregular división de los predios.
Viviendas improvisadas (realizadas con posibles materiales perecederos como madera, latón, etc)
Los Asentamientos Nuevos, no son: albergues, lugares de paso, puntos de atención, campamentos, refugios, y en general todo poblado que haya sido conformado por alguna entidad gubernamental, no gubernamental o supranacional; es decir, que deben ser iniciativa del mismo grupo de personas que van llegando a un posible destino para asentarse.

Tags: camp coordination and camp management-cccm, populated places-settlements
Organization: iMMAP Inc.
Syria: Earthquake Impact

On February 6, 2023, at dawn, a strong earthquake hit southern Turkey and northern Syria with a magnitude of 7.8 on the Richter scale, resulting in thousands of casualties and thousands of injured in Turkey and North-West Syria.
The Assistance Coordination Unit (ACU), through its field team network represented by the following departments: Early Warning Alert and Response Network, WASH, Polio Team, Immunization Program, Information Management Unit, DPU, and M&E conducted a needs and damage assessment following the devastating earthquake.						
							

Tags: affected population, casualties, complex emergency-conflict-security, earthquake-tsunami
Organization: Assistance Coordination Unit
RMNA 2022

Full dataset of the 2022 Refugee and Migrant Needs Analysis (RMNA), including total population and people in need estimates disaggregated by age and gender, and Admin-1 level. More info on the RMNA microsite: https://rmrp.r4v.info/rmna/ 

Tags: demographics, needs assessment, people in need-pin, refugees
Organization: Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela
South Sudan: Road Network

The data coming from MapAction South Sudan Pilot Integrated Humanitarian Data Package. The data coming from a compilation of WFP and OSM datasets. The South Sudan pilot Integrated Humanitarian Data Package (IHDP) is a package of cleaned, checked and enriched data. For more information, please visit: https://maps.mapaction.org/dataset/south-sudan-pilot-integrated-humanitarian-data-package

Tags: logistics, roads
Organization: OCHA South Sudan
Myanmar: Operational Presence

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes type of organizations by state and cluster, as well as a unique count of organizations.

Tags: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Myanmar
2022 Iraq Multi-Cluster Needs Assessment (MCNA-X) - Preliminary Analysis & Summary Tables

In close coordination with the Assessment Information Management Working Group (AIM WG), UN OCHA, and the Inter-Cluster Coordination Group (ICCG), the tenth round of the Multi-Cluster Needs Assessment (MCNA) seeks to understand multi-sectoral household conditions and priority needs of conflict-affected populations living in Iraq.

Between June 3rd and August 18th 2022, REACH Iraq and partners collected multi-sectoral household data on vulnerabilities across Iraq, reaching 13,000 households and 70,000 individuals, focusing on Returnee households, IDP households living in and out-of-camp, and host community households. This data has been analyzed, and the 2022 Multi-Cluster Needs Assessment (MCNA X) Preliminary Analysis and Summary Tables (with Arabic translation) is available for download.

REACH Iraq is grateful for its partners for committing resources to ensure the completion of the 2022 MCNA in Iraq: Danish Refugee Council (DRC), Arbeiter-Samariter Bund (ASB), Cooperazione Internazionale (COOPI), CARE, Youth Save Organization, People in Need (PIN), INTERSOS.

For any additional questions or information queries concerning MCNA X, please contact Ted Jaspers (theodore.jaspers@reach-initiative.org).

Tags: camp coordination and camp management-cccm, conflict-violence, education, food security, gender-based violence-gbv, health, internally displaced persons-idp, livelihoods, needs assessment, populated places-settlements, protection
Organization: REACH Initiative
Colombia - Compilación de boletines epidemiológicos

Base que contiene información de eventos epidemiológicos, pajo peso al nacer, desnutrición en menores de 5 años y mortalidad por desnutrición en menores de 5 años, del 2021 a agosto del 2022, en población refugiada y migrante venezolana. 

Tags: malnutrition, nutrition
Organization: iMMAP Inc.
UNHCR Global Trends: Forced Displacement in 2021 Data

This dataset contains 23 data tables on global trends in forced displacement in 2021. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.

Tags: asylum seekers, displacement, internally displaced persons-idp, population, refugees, returnees, stateless persons
Organization: UNHCR - The UN Refugee Agency
Afghanistan - Who does What Where (April to June 2022)

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed [here](https://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
North-West Syria - Earthquake Rapid Needs Assessment

The dataset contains community-level information from key informants (KIs) in 607 assessed communities across Greater Idleb and Northern Aleppo. The full survey was carried out in communities reporting direct earthquake impact (damage/service disruption) and/or arrival of new IDPs since the initial earthquake, with sections covering:

1) Population & Displacement, 2) CCCM, 3) Shelter damage & SNFI emergency needs, 4) Nutrition & Protection 5) Key Infrastructure Impacts & Service Access, 6) Priority Needs and 7) Humanitarian Assistance

Tags: earthquake-tsunami, needs assessment
Organization: REACH Initiative
Yemen Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first- and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2004 (census) and 2016 (population estimates), as well as five-year age group and sex, and information relating to IDPs and refugees, households, housing, income and poverty, information and communication technology, and health. 

Tags: administrative boundaries-divisions, baseline population, demographics
Organization: U.S. Census Bureau
Syria Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2004 (census) and 2011, 2014, and 2016 (population estimates), as well as five-year age group and sex, and information relating to ethnicity, housing, access to services, forced dispersion, IDP movements, and people in need. 

Tags: administrative boundaries-divisions, baseline population, demographics
Organization: U.S. Census Bureau
Somalia Subnational Population Data Tables with Administrative Boundaries, Based on Surveys

The geodatabase contains boundaries for the national and first- and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2005 (population estimates) and 2014 (population estimates), as well as information relating to education, health, malaria, conflict, insecurity, stresses, and needs. 

Tags: administrative boundaries-divisions, baseline population, demographics
Organization: U.S. Census Bureau
South Sudan Subnational Population Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2008 (census), 2017 (population estimates), and 2018 (population estimates), as well as five-year age group and sex, and information relating to education, employment and labor, poverty and consumption, disability and health, mortality and domestic violence, households, access to services, agriculture and livelihood, food insecurity, migration, and people in need.

Tags: administrative boundaries-divisions, baseline population, demographics
Organization: U.S. Census Bureau