AndreaBozzo/ceres-open-data-index huggingface dataset:
Central America Length of Water Infrastructure by ACH-GIS4Tech

This indicator shows the length of natural and artificial watercourses per municipality area, based on information from 4 typologies (canals, streams, riverside and rivers). Source: OpenStreetMap. Categorized by country, department and municipality.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform: https://predisan.gis4tech.com/ca4

Tags: socioeconomics, water sanitation and hygiene-wash
Organization: Acción contra el hambre - GIS4tech
Flooding in the Philippines on February 13, 2025

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of February 13, 2025, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

Tags: affected area, climate hazards, cyclones-hurricanes-typhoons, damage assessment, disaster risk reduction-drr, flooding, geodata, natural disasters
Organization: The Philippine Space Agency
Central America - Livelihoods

This visualization presents the livelihoods of the countries of El Salvador, Guatemala, Honduras, and Nicaragua at the municipal level. The information has been obtained from the livelihood reports published by FEWS NET. The country-specific data correspond to the following years: El Salvador (2018), Guatemala (2016), Honduras (2014), and Nicaragua (2010).

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: livelihoods
Organization: Acción contra el hambre - GIS4tech
Central America - Classification of Municipal Agricultural Productivity

The dataset shows the agricultural productivity level of each product in different municipalities, based on data collected from censuses conducted by the Ministries of Agriculture in Guatemala, El Salvador, Nicaragua and Honduras in 2024.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: agriculture-livestock, census
Organization: Acción contra el hambre - GIS4tech
Central America SAN profiles by ACH-GIS4Tech

PMA data (2020 telephone surveys) clustered with artificial intelligence in order to find groups of respondents sharing common characteristics.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: forecasting, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America Socioeconomics profiles by ACH-GIS4Tech

Data collected in the field in 2020 and 2021 grouped with artificial intelligence in order to find groups of respondents sharing common characteristics. Categorized by country, department and municipality.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: forecasting, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Afghanistan - Who does What Where (April to June 2021)

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: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (October to December 2024)

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://response.reliefweb.int/afghanistan/who-does-what-where-3w?_gl=1*g902oc*_ga*MTYyOTk1NDg4OC4xNjc2NTM2NTk3*_ga_E60ZNX2F68*MTcwNDE3NzMzMC4xNDAuMS4xNzA0MTg0MTQ5LjU4LjAuMA). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Bangladesh - Cox's Bazar Host Community  Multi-Sector Needs Assessment

Since August 2017, an estimated 728,306 Rohingya refugees have arrived in Bangladesh’s Cox’s Bazar District from Myanmar, bringing the total number of Rohingya refugees residing in Bangladesh to approximately 895,631.  The rapid and massive increase of the refugee population, concentrated in the south of the district in Ukhia and Teknaf, has had an enormous impact on Bangladeshi host communities’ food security, economic vulnerability, market access, labour opportunities and environment. At the same time, the crisis has generated some positive impacts in terms of new labour and livelihood opportunities provided by the presence of a rapidly expanding humanitarian sector, and increased demand for goods and services by Rohingya themselves.

The majority of available data on the host community populations of Ukhia and Teknaf pre-dates the current influx of refugees. While a number of post-influx assessments have included host community populations, the information they provide has significant limitations in terms of being able to serve as the basis for strategic prioritisation and decision-making. 

The assessment aims to identify the severity and geographical spread of acute needs within the host community population. Its primary audience is ISCG, sectors, sector partners, and humanitarian donors. In this respect, the long-term development needs of the population that are more likely to be met by government or development agency intervention are not the core focus of this assessment. Similarly, this assessment is not designed to assess the impact of the August 2016 refugee influx on the host community (though may serve as a point of triangulation for actors wishing to do so).

Tags: migration, refugee crisis, refugees
Organization: Inter Sector Coordination Group
Thailand - Bangkok Background PMTiles

The bkk_background dataset provides geospatial information for the Bangkok area. This dataset is sourced from [bkk_tls_data](https://github.com/naoyamorishita/bkk_tls_data/). For detailed technical usage and additional context, please refer to the linked repository. The data is designed to support applications requiring accurate and detailed background mapping for the region.

Tags: facilities-infrastructure, transportation
Organization: UN Smart Maps Group
Ukraine - Frontline Monitoring

This dataset is part of AQLITY’s Security, Logistics, Access and Cash Feasibility (SLAC) Monitoring tool. It captures granular, settlement-level data collected through direct observation and key informant interviews across eastern Ukraine. The dataset includes information on population presence and vulnerability, access constraints, availability of basic services, market functionality, infrastructure damage, and cash feasibility. Each record reflects a specific assessment round in a given settlement and contributes to tracking humanitarian access and service availability in hard-to-reach and high-risk areas. The dataset is intended to provide operational data for humanitarian organisations and prompt further assessment and/or principled response.

Tags: affected population, baseline population, cash based interventions-cbi, complex emergency-conflict-security, demographics, facilities-infrastructure, humanitarian access, markets, needs assessment, services
Organization: AQLITY
Atención y afiliación al servicio de salud en población migrante en Colombia

Datos sociodemográficos de las atenciones realizadas durante marzo de 2017 y octubre de 2018; consulta externa y número de atenciones realizadas con su respectivo diagnóstico de la población migrante, servicios de hospitalización, urgencias, procedimientos, nacidos vivos y enfermedades de alto costo.

Tags: health, migration
Organization: iMMAP Inc.
Darfur Damaged and Destroyed Villages

The Darfur Damaged and Destroyed Villages dataset describes the condition of villages in the Darfur region of Sudan that the U.S. Government has confirmed as either damaged or destroyed between the time period February 2003 to December 2010.  Additionally, villages that are confirmed to have No Damage are also reported.

Tags: conflict-violence, eastern africa, geodata
Organization: U.S. Department of State - Humanitarian Information Unit (inactive)
Unplanned Explosions at Munition Sites (UEMS) - until 2014

The UEMS Database gathers information on accidental explosions of abandoned, damaged, improperly stored, or properly stored stockpiles of ammunition and explosives at munitions sites. It documents more than 500 incidents occurred from 1979 onwards and it is periodically updated. The UEMS Database provides details on the location, the number of fatalities and injuries as well as the alleged cause of the incident, depending on available information. 

Tags: complex emergency-conflict-security
Organization: Small Arms Survey
Global catalog of earthquakes

Catalog of Earthquakes 1970-2014, Source: ANSS - USGS The ANSS Comprehensive Catalog (ComCat) contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks. 

Tags: earthquake-tsunami, geodata, hazards and risk
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Prevalence of Severe Acute Malnutrition of Sahel

The dataset represents the latest Severe Acute Malnutrition Prevalence available for the Sahel nine countries (Burkina Faso, Cameroon, Chad, the Gambia, Mali, Mauritania, Niger, Nigeria, Senegal).

Tags: sahel, severe acute malnutrition-sam
Organization: OCHA West and Central Africa (ROWCA)
Informal Settlements (Refugees living in informal settlements)

In Lebanon Syrian refugees are scattered  all over the country, mostly living in the cities and villages with host communities renting or occupying abandoned or unfinished building, however over 30% of the refugees are living in tents in Informal Settlements. Informal Settlements are collections of tent (not more than 20 tents).

Tags: camp coordination and camp management-cccm, refugees
Organization: OCHA Lebanon
PERU - Displacement Tracking Matrix (Round 3)

Displacement Tracking Matrix (DTM) R3 in Peru is a representative study of the displaced population in the shelters of the districts of Catacaos and Cura Mori in Piura, Peru. 
---------------------------------------------------------------------------------------------------------------
La Matriz de Monitoreo  de Desplazamiento (DTM) R3 en Perú es un estudio representativo de la población desplazada en los albergues de los distritos de Catacaos y Cura Mori en Piura, Perú. 



Tags: displacement, el nino-el nina, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Syria Refugee Sites

Data as of June 11, 2015.  The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.

Tags: geodata, refugees
Organization: U.S. Department of State - Humanitarian Information Unit (inactive)
Libya - Elevation Model

-SRTM 90m DEM, There are 13 number of 5 x 5 degree tiles for a complete coverage of Libya AJ.

-Digital Elevation Model (DEM) of Libya, The NASA Shuttle Radar Topographic Mission (SRTM). Resolution: 250 m. Source: USGS/NASA-SRTM




Tags: geodata, libya-floods, topography
Organization: OCHA Middle East and North Africa (ROMENA)
Iraq - Standard naming, GPS coordinates and P-codes for IDP Camps

Standard naming, GPS coordinates and P-codes for:
IDP Camps - IDP Informal Camps - IDP Collective Centres managed - IDP Collective Shelters (not managed)
Updated as of 23 November 2014 by CCCM information management unit - Iraq.





Tags: displacement, geodata, internally displaced persons-idp, populated places-settlements, refugees
Organization: OCHA Iraq (inactive)
INFORM Colombia Model

The development of the INFORM Colombia model was initiated by OCHA and UNICEF. It is a municipallevel risk index, which identifis threats, vulnerabilities and response capacities throughout the country. The results have been used in the Humanitarian Needs Overview 2016 and by UNICEF planners and donors. The model includes specific components to evaluate risk levels for children and adolescents. Partners are now investigating if the model can be extended to cover additional countries in the region.

Tags: hazards and risk
Organization: INFORM
INFORM Greater Horn of Africa Model

The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.

Tags: hazards and risk
Organization: INFORM
Ecuador - Demographic, Health, Education and Transport indicators

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses.  Additionally, Local urban observatories  collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

Tags: baseline population, education, health, hxl, indicators, transportation
Organization: United Nations Human Settlements Programmes, Data and Analytics Section
Climate Change Attributable Dalys

Climate Change Attributable Dalys,  Disability -Adusted Life Years (or DALYs)  are a summary measure of population health that combine (i) the years of life lost as a result of premature death and (ii) the years lived  with a disease.
Death and DALY rates are calculated by dividing the number of deaths, resp. DALYs, by the total population (or indicated if not, e.g. if a specific population group such as children under 5 years, is used).

Tags: climate-weather, health
Organization: World Health Organization
Vanuatu Displacement Data - Manaro 2018-2019 [IOM DTM]

Because of the Manaro Voui volcanic activity the entire island of Ambae was evacuated in July-August 2018. DTM is tracking a total of 11,339 displaced Ambaeans in 2,870 households across Sanma, Penama and Shefa provinces , which accounts for 97% of the pre-evacuation (2016) population. Estimated 3,750 Ambaeans have returned to Ambae by February 2019.

Tags: displacement, geodata, hxl
Organization: International Organization for Migration (IOM)
Kenya - Consumer Price Indices  (CPI)  and  rates  of  inflation

Kenya National Bureau of Statistics hereby releases monthly Consumer Price Indices  (CPI)  and  rates  of  inflation,  for  March,  2019.  These  numbers  were generated from  a  survey  of  retail  prices  that  targeted  a  basket  of  household consumption  goods  and  services.  The  exercise  was  conducted  during  the second and third weeks of the month, with prices being obtained from selected retail  outlets  in  25  data  collection  zones  in  Nairobi  and  in  13  other  urban centers.

Tags: economics, indicators
Organization: Kenya National Bureau of Statistics (inactive)
Afghanistan Who does What Where - April to June 2015

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.

Tags: who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (April to June 2017)

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: operational capacity, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where  (April to June 2016)

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: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where  (January to March 2017)

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: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan Who does What Where - January to March 2016

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: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
IOM Bangladesh - Needs and Population Monitoring (NPM) UAV imagery and GIS package by camp (November  2019)

NPM Bangladesh has produced a number of tools based on its regular data collection activities. The package of November 2019 is based on [NPM Site Assessment 16](https://data.humdata.org/dataset/iom-bangladesh-needs-and-population-monitoring-npm-round-16-site-assessment) (during the months of 21st August – 10th October) and NPM most updated drone imagery (as of 23 January 2019).

Here below, the complete package by camp:

SW Map package KMZ file Drone image

The full image and shapefiles are available at this [link](https://data.humdata.org/dataset/iom-npm-cox-bazar-uav-imagery).

Tags: camp coordination and camp management-cccm, displacement, migration, needs assessment, refugee crisis
Organization: International Organization for Migration (IOM)
REACH IRAQ Multi Cluster Needs Assessment Round VII - Dataset (excluding individual data)

MCNA conducted at household level nationwide in Iraq. The MCNA covered all conflict-affected populations: in-camp IDP, out-of-camp IDP, returnee and select host populations, in all accessible districts where target population were present. Sampled on district (ADM 2) level and data collected June - August 2019.

Tags: needs assessment
Organization: REACH Initiative
Humanitarian Situation Overview in Syria (HSOS)

The Humanitarian Situation Overview Syria (HSOS) project, formerly known as the Area of Origin (AoO) project, conducts direct data collection using a Key Informant (KI) methodology at the community (village/neighbourhood) level in northwest Syria (3-6 key informants and one form submitted per community). The overall objective of the project is to improve humanitarian access to information on needs and the general humanitarian situation across northwest Syria to help inform aid planning and enhance the understanding of the humanitarian context within Syria.

The coverage spans 1,051 communities across Idleb, Aleppo, and northern Hama. Face-to-face interviews are conducted when possible, otherwise they are done remotely (via phone using enumerators' KI networks in assessed locations). Once primary data is collected and cleaned, it is then triangulated with available secondary data sources (including other REACH products, relevant humanitarian publications by partners and other actors, and reliable news sources). 

Tags: community engagement
Organization: REACH Initiative