AndreaBozzo/ceres-open-data-index huggingface dataset:
Psycho-social Support Reach, Adamawa State, North East Nigeria, Quarter 1, 2019

The zipped geometrical dataset contains a shapefile on the reach of psycho-social support services to children in Adamawa State, in the first quarter of 2019. The provision of psycho-social support to children is part of the overall Child Protection in Emergencies support services in response to the humanitarian crisis in north east Nigeria.

Tags: children, geodata, health, population
Organization: iMMAP Inc.
Mine Risk Education Reach, Adamawa State, North East Nigeria, Quarter 1, 2019

The zipped geometrical dataset contains a shapefile on the reach of mine risk education services to children in Adamawa State, in the first quarter of 2019. The provision of Mine Risk Education is part of the overall Child Protection in Emergencies support in response to the humanitarian crisis in north east Nigeria.

Tags: education, geodata, protection
Organization: iMMAP Inc.
North East Nigeria Food Security and Agricultural Livelihoods Response Monitoring January-April 2019

This dataset contains five CSV files detailing the Food Security and Agricultural Livelihoods response monitoring in the north east Nigeria crisis-affected states of Borno, Adamawa and Yobe. The fifth CSV file consolidates response monitoring in both food assistance and agricultural livelihoods for the months of January through April 2019. These constitute the overall mapping of the food security sector interventions to people affected by the crisis during this period.

Tags: food security, livelihoods
Organization: iMMAP Inc.
WASH Sector Response Progress Monitoring by Indicator, north east Nigeria, June 2019

This dataset contains CSV files on response progress monitoring for each of the WASH sector indicators in the response to the crisis in north eastern Nigeria. Each file has 4 data columns representing the achievements for that indicator categorized as either Humanitarian, Nexus and Development (or both). The fourth column lists the overall achievement. Data contained in each file is at LGA level and a reference column is included in each file with the Admin2 P-Codes, with respect to water adequacy, desludging, household sanitation, hygiene kits, hygiene promotion, operation and maintenance of water points, sanitation activities in institutions (schools, health facilities, safe spaces, CMAN sites) and water activities in institutions and waste management.

Tags: development, water sanitation and hygiene-wash
Organization: iMMAP Inc.
Water Points and Water Sources for Eleven Hotspot LGAs in Borno State, north eastern Nigeria, March 2019

This is a geometrical shapefile of water point data for eleven (11) hot spot Local Government Areas and describes the water point location type (broadly IDP Camps or Host Communities). Data contains water source details such as nature of the water source, yield, operating hours, facility type, daily yield, and adequacy. The data was collected by UNICEF Data Focal Persons during a water point baseline assessment conducted in March 2019. Data contained in this file is at water point level.

Tags: geodata, needs assessment, water sanitation and hygiene-wash
Organization: iMMAP Inc.
Afghanistan - Who does What Where (October to December 2018)

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, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
British Virgin Islands: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the British Virgin Islands: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: baseline population, children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Montserrat: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Montserrat: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: baseline population, births, children, demographics, elderly, geodata, health, maternity, men, women, youth
Organization: AI for Good at Meta
Delito Sexual y Violencia intrafamiliar en Colombia

Tasas y cifras de delito sexual y violencia intrafamiliar en Colombia durante 2010-2018.

Datos procesados a partir de reportes administrativos de la Policía Nacional, La Fiscalía General de la Nación y el Instituto Nacional de Medicina Legal.

Tags: conflict-violence, gender
Organization: Observatorio Latinoamericano de Desarrollo Sostenible
Ethiopia Displacement Data - East West - Wellega - RRA [IOM DTM]

Local conflict in Benishangul Gumuz region (BSG) and East and West Wollega zones of Oromia region beginning in the last week of September 2018 is believed to have displaced an estimated 191,995 individuals comprising 36,470 households. In East and West Wollega, a total of 158,385 IDPs were observed, where 27% of IDPs are in collective sites and 73% are in host communities.

Tags: displacement, hxl, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Required and received funding to prevent and respond to gender-based violence

Humanitarian financing estimates from UNFPA Humanitarian Action Overview reports, 2015-2018.

Humanitarian financing estimates are based on joint planning processes (including humanitarian response plans and regional refugee response and resilience plans that involve multiple organizations and stakeholders) and agency-specific (UNFPA) emergency response plans at country level.

See full report here: https://www.unfpa.org/humanitarian-action-2019-overview

Tags: conflict-violence, funding, gender-based violence-gbv
Organization: HDX
Seychelles: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).


Tags: baseline population, children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Réunion: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Réunion: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).


Tags: baseline population, children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Mozambique Cyclone Idai Data

This dataset includes 700 completed interviews from Mozambique following Cyclone Idai, including respondents from Sofala province and Beira. All respondents were affected by the cyclone, and data includes information on home and community damages, food security, and access to resources including clean water and electricity. Data was collected via remote SMS survey March 21st, 2019 - March 22nd 2019 and is not nationally or regionally representative but is intended to show a snapshot of the cyclone's impact on the ground.  Statistical disclosure control methods have been applied to the data in order to protect individual respondents information.

Tags: cyclones-hurricanes-typhoons, food security, natural disasters
Organization: Mobile Accord, Inc. (GeoPoll)
Malawi Displacement Data - Site Assessment - Idai - [IOM DTM]

Malawi has experienced floods and sustained heavy rains caused by the tropical cyclone Idai weather system. IOM, in close coordination with the Government of Malawi through the Department of Disaster Management Affairs (DoDMA), conducted multi-sectoral location assessments in Chikwawa, Nsanje, Phalombe, Zomba districts. The dataset contains number of IDPs, households and their needs at sub-national level.

Tags: cyclones-hurricanes-typhoons, displacement, hxl, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
UNHCR Mid-year Trends 2018

This dataset contains 9 data tables on global trends in forced displacement during the first half of 2018. The data provide stocks and flows on refugees, asylum-seekers, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR. The data are presented at the national level. 

Tags: asylum seekers, displacement, internally displaced persons-idp, population, refugees, returnees, stateless persons
Organization: UNHCR - The UN Refugee Agency
Côte d’Ivoire - Food Security Indicators

FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.

Tags: food security
Organization: Food and Agriculture Organization (FAO) of the United Nations
North-West Syria: Inter-Sector Rapid Needs Assessment - Flood Impact January 2019

On 26 December 2018, exceptionally heavy rainfall caused severe flash flooding in Idleb and Aleppo governorates in north-west Syria. This area has a high proportion of displaced people and concentration of camps and sites, making it a region with a notably large vulnerable population. Hundreds of tents were reportedly swept away and concrete houses in camps collapsed. As a result of the flooding, thousands of people have been impacted

Tags: education, flooding, needs assessment, populated places-settlements
Organization: OCHA Türkiye (inactive)
Afghanistan - Conflict Induced Displacements in 2019

Newly displaced population due to conflict between 01 January 2019 and 30 December 2019, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 03 March 2020 and the numbers are expected to change as new assessment figures become available.

Tags: conflict-violence, hxl, internally displaced persons-idp
Organization: OCHA Afghanistan
IOM Bangladesh - Needs and Population Monitoring (NPM) Round 14 Site Assessment

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.

This dataset presents the result of the NPM Round 14 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of December 2018 and January-February 2019.

* The data collection for NPM baseline survey was conducted between 9 to 19 December 2018: it provides an update about the population distribution and movements.
* The data collection for NPM Site Assessment survey was conducted between 14 January to 13 February 2019: in addition to an update about the population figures, this includes a multi-sectoral needs assessment.

Rohingya refugee population distribution by para in Teknaf upazila. Please click [here](https://data.humdata.org/dataset/iom-bangladesh-needs-and-population-monitoring-npm-teknaf-para-mapping).


Organization: International Organization for Migration (IOM)
The regional INFORM Sahel model

The regional INFORM Sahel model was initiated by Emergency Response and Preparedness Group of regional Inter-Agency Standing Committee (IASC) and is managed by OCHA. The INFORM model is being used to support the Humanitarian Programme Cycle and coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.

Tags: hazards and risk
Organization: INFORM
Asia Pacific: Storm tracks 1956 to 2018

This shape file consists of consolidated history of tropical storm paths over the past 50 years in the West Pacific, South Pacific, South Indian and North Indian basin. Attributes provides details such as storm Name, Date, Time, wind speed and GPS points for each advisory point. Wind speeds are in knots for more details on speeds conversion and storm categories please visit the original source of data: UNISYS (http://weather.unisys.com/hurricane/index.php), NOAA (http://rammb.cira.colostate.edu/products/tc_realtime/index.asp)

Tags: cyclones-hurricanes-typhoons, geodata
Organization: OCHA Regional Office for Asia and the Pacific (ROAP)
Lake Chad Basin FTS Appeal Data

Contains data from OCHA's [Financial Tracking Service](https://fts.unocha.org/) on the financial requirements and current funding levels for appeals in the Lake Chad Basin crisis countries. Data is encoded as utf-8.  The second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: complex emergency-conflict-security, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
Central African Republic - Water Bodies- Rivers ( Landsat satellite images (2002-2003)

Central African republic rivers
** (FR) Cours d'eau importants de la zone d'exploitation forestière de la République centrafricaineCette couche représente les cours d'eau de largeur importante dans la région ou l'exploitation forestière se déroule (Sud-ouest de la République Centrafricaine. Elle a été générée par le PARPAF à partir d'images satellites Landsat (2002-2003) pour chaque permis et la table attributaire du fichier de la zone forestière a été renseignée grâce aux cartes topographiques 1:200,000 prodduites par l'Institut Géopraghique National (IGN) et les connaissances du terrain. Purpose: Rendu cartographique et analyse spatiale. (FR) Réseau hydrographique de la République CentrafricaineCette couche SIG représente tous les cours d'eau couvrant la République centrafricaine. Ces données sont issues de la combinaison de 2 couches SIG: les rivières de la zone forestière (PARPAF) et les rivières de la République Centrafricaine (PARN). Ce travail de rassemblement des couches et d'harmonisation a été réalisé par le Projet des Forets d'Afrique (FORAF). La couche hydrologie de la zone forestière, réalisée par Projet d'Appui à la Réalisation des Plans d'Aménagement Forestiers (PARPAF) est très détaillée : elle a été digitalisée sur images satellites Landsat (2002-2003) pour chaque permis et la table attributaire du fichier de la zone forestière a été renseignée grâce aux cartes topographiques 1:200,000 pour RCA produit par IGN et les connaissances du terrain. Il n'y a aucune information quant à la manière dont les cours d'eau de la République Centrafricaine ont été réalisés par le Projet d'Aménagement des Ressources Naturelles en République Centrafricaine (PARN) Pour plus des infos, voir le lien : 





Tags: geodata, hydrology
Organization: OCHA Central African Republic
Haiti - Rivers

Haiti Waters - Rivers

Rivers/Streams of Haiti. The first dataset produced by the CNIGS is the official one and was made available in 2008. The second river datasets cover Haiti and the Dominican Republic. Lines of river were digitized in 2011 from High resolution satellite Imagery by [Open Street Map](http://download.geofabrik.de/osm/central-america/).

Tags: geodata, hydrology, rivers
Organization: OCHA Haiti
DR Congo - Settlements

Localités
Les localités de la RDC sont issues au de la comparaison de deux bases pour lesquelles les doublons ont été supprimés. Des relevés GPS ainsi que des numérisation sur images satellites ont été réalisés par différentes acteurs présent en RDC et viennent compléter le fichier initial. Des ajouts se font régulièrement (2010).

Sourced from Référentiel Géographique Commun

Tags: geodata, populated places-settlements
Organization: OCHA Democratic Republic of the Congo (DRC)
Papua New Guinea - Water Courses

This spatial dataset is a national dataset of watercourses for Papua New Guinea with no hydrological heirarchy. Edits were made to the original dataset to include provincial level attribute information. Watercourse name in English are included where known.

This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office. 


Tags: geodata, hydrology, rivers
Organization: OCHA Regional Office for Asia and the Pacific (ROAP)
Bhutan - Settlements

 These spatial datasets of settlements are national datasets of populated places across Bhutan.

The Global Discovery data includes the location name in English and associated dzonghag and gewog name and code. This can be complemented by the OSM dataset that includes additional settlements with location name in English, place type and the associated dzonghag and gewog name and code.

Tags: geodata, populated places-settlements
Organization: OCHA Regional Office for Asia and the Pacific (ROAP)
DPR Korea - Settlements

This spatial dataset of settlements is a national dataset of 643 villages, towns and cities and suburbs across DPR Korea. The attribute information includes the location name (in local Korean script concatenated with the English translation), OSM id, and the associated province and county administrative name and code. This dataset is also referred to as the village or population point dataset and can be complemented by the WFP dataset.

Tags: geodata, populated places-settlements
Organization: OCHA Regional Office for Asia and the Pacific (ROAP)
Senegal - Settlements

Settlements COD datasets for SEN endorsedby Dakar IMWG on August 2017; see metadata for description of cleaning and processing performed by ITOS.
Capitals (national, regional, departemental)
The dataset represents the regions capitals of Senegal. This is a zipped file for administrative region capitals. Scale: 1/1,000,000 
Last update August 2017

Tags: geodata, populated places-settlements
Organization: OCHA West and Central Africa (ROWCA)
Djibouti - Aerodromes

Djibouti Airports

The names of the settlements were obtained from the GEOnet Name Server  (NIMA). The locations of the settlements have been modified by randomly moving them by ± 30². Other settlements were obtained from topographic maps of Djibouti that were scanned and geo-referenced.

This layer shows airports in the country. 




Tags: aviation, facilities-infrastructure, geodata, transportation
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Djibouti - Settlements

The names of the settlements were obtained from the GEOnet Name Server  (NIMA), the locations of the settlements have been modified by randomly moving them by ±30. Created 07/11/2000

Topographical maps of 1:100000 and 1:200000 of Djibouti were then used to relocate the settlements. The topomaps were issued by INSTITUT GEOGRAPHIQUE NATIONAL, Rue de Grenelle-Paris, 1956-1961




Tags: geodata, populated places-settlements
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Djibouti - Roads

Djibouti Roads. Roads were digitized from Topographic maps at a scale of 1:100,000 issued by the Institut Geographique National, Rue de grenelle-Paris, 1956-1961.

A few arcs were obtained from the DCW, whenever they were missing on the Topomaps.


Tags: facilities-infrastructure, geodata, transportation
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Colombia: Estimaciones afectaciones por fenómenos hidrometeorológicos

Con base en los escenarios de predicción del Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), se identificaron las zonas con susceptibilidad a inundaciones y deslizamientos durante el segundo trimestre de 2025.

El archivo de Excel que acompaña esta publicación contiene ocho hojas con información desagregada sobre personas, hogares, viviendas, zonas de cultivos, instituciones educativas y centros de salud localizados en zonas susceptibles. Además, para cada municipio se incluye el nivel de riesgo estimado, calculado mediante el Índice Municipal de Riesgo Ajustado por Capacidades, desarrollado por el Departamento Nacional de Planeación (DNP).

Tags: affected area, affected population, agriculture-livestock, climate hazards, climate-weather, damage assessment, disaster risk reduction-drr, education facilities-schools, flooding, forecasting, health facilities, natural disasters
Organization: 3iS
French Polynesia - 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](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
Puerto Rico (United States) - 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](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
Saint Kitts and Nevis - 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](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
Faroe Islands - 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](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
Antigua and Barbuda - 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](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)