AndreaBozzo/ceres-open-data-index huggingface dataset:
Kyrgyzstan Data - Returning Migrant Worker Survey [IOM DTM]

The dataset presents findings from surveys conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management.

Tags: education, employment, migration
Organization: International Organization for Migration (IOM)
Syrian Arab Republic: IDP Movements and IDP Spontaneous Return Movements Data

This dataset provides information on internally displaced persons (IDP) movements and spontaneous IDP returns estimations on a monthly basis. In each resource, there is a summary table for IDP arrival estimations at the governorate level since January 2016. Each resource also includes a summary table for spontaneous IDP returns estimations at the governorate level since August 2018.

Tags: complex emergency-conflict-security, displacement, internally displaced persons-idp, migration, returnees
Organization: OCHA Syria
Disberse DFID FTL Pilot with OCHA CBPF data from Iraq and occupied Palestine Territories, 2018-2019

The data describes financial transactions from OCHA to their implementing partners in IRQ and oPT, and then onwards to sub-implementing partners. 

The data is a combination of data from OCHA GMS and data collected from OCHA implementing parters. The data from Implementing partners complement OCHA:s data with information on when funds were recieved and if/when funds were sent on to sub-implementing partners. This allows for analysis of how long and costly financial transactions are.

Tags: humanitarian response plan-hrp
Organization: Country-Based Pooled Funds (OCHA)
Satellite detected water extents in Maganja Da Costa, Namacurra & Nicoadala Districts, Mozambique as of 17 March 2022

**UNOSAT code: TC20220311MOZ**  This map illustrates satellite-detected surface waters in Maganja Da Costa, Namacurra & Nicoadala Districts, Zambezia Province, Mozambique as observed from a Sentinel-1 image acquired on 17 March 2022 at 05:00 local time. Within the analyzed area of about 6,970 km2, about 442 km2 of lands appear to be flooded.  Based on Worldpop population data and the detected surface waters, about 36,500 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 United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Myanmar Damaged Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT) conducted a pilot of Crowdsourced Damage Assessment (CDA) with local mappers from the Myanmar OpenStreetMap Community (myOSM) to identify and map damaged buildings in priority affected townships from the March 2025 Myanmar earthquake.

Through the CDA, mappers will review damaged buildings by comparing pre- and post-disaster satellite imageries (from Maxar and Planet) to identify signs of damages. These were reviewed, mapped, and validated with open-source tools MapSwipe, HOT Tasking Manager, and MapRoulette.

Damage assessments were conducted in 20 townships, including: Bago, Magway, Aungmyaythazan, Chanayethazan, Mahaaungmyay, Chanmyathazi, Pyigyitagon, Amarapura, Sintgaing, Kyaukse, Meiktila, Thazi, Patheingyi, Za Bu Thi Ri, Det Khi Na Thi Ri, Pyinmana, Poke Ba Thi Ri, Oke Ta Ra Thi Ri, Lewe, and Sagaing.

This dataset includes all OpenStreetMap features (nodes, ways, and relations) within Myanmar that contain any tag key [related to “damage”.](https://overpass-turbo.eu/s/26co))

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [damage](http://wiki.openstreetmap.org/wiki/Key:damage)
- [damage:event](http://wiki.openstreetmap.org/wiki/Key:damage:event)
- [source:damage](http://wiki.openstreetmap.org/wiki/Key:source:damage)
- [source:damage:date ](http://wiki.openstreetmap.org/wiki/Key:source:damage:date )
- [addr:street](http://wiki.openstreetmap.org/wiki/Key:addr:street)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Satellite detected water extents in Mahanoro District, Atsinanana Region, Madagascar as of 24 February 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Mahanoro District, Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  
Within the analyzed cloud free zones of about 450 km2, a total of about 40 km2 of lands appear to be flooded. 
Based on Worldpop population data and the detected surface waters, about 3,500 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 United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Bentiu IDP Camp, Rubkona County, Unity State, South Sudan

This map illustrates the IDP camp at the UNMISS Protection of Civilian (PoC) area adjacent to the UNMISS base in Bentiu, Rubkona County, Unity State, South Sudan. Using high-resolution optical satellite imagery collected by the WorldView-3 satellite on 07 March 2015, UNOSAT identified a total of 9,713 structures. Approximately 9,515 of these were classified as tent shelters and 198 as administrative buildings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Global Population Projections (1 km Grid)

This data release provides gridded population distributions (spatial resolution of 30 arc-seconds, approximately 1km grid cells) globally for 2025-2100, quantitatively consistent with the [Shared Socioeconomic Pathways (SSP) 3.2](https://doi.org/10.1016/j.gloenvcha.2015.02.012) national population scenarios.

National population totals at 5-year intervals for 2025-2100 were provided for each SSP scenario. Using  [WorldPop Global2 R2025A data](https://hub.worldpop.org/geodata/listing?id=135), subnational population proportions were calculated and summarised at administrative unit level 2, i.e. the percentage of the national population within each administrative unit.

Global2 historical settlement data was used to determine the percentage of grid cells that became built settlement per administrative unit in 5-year intervals for 2015-2025 and the number of people per new settlement grid cell. This rate of settlement change was extrapolated into future 5-year intervals (2030-2100) and cross-referenced against a probability of becoming built settlement layer, where the transition probability of non-built-settlement to built-settlement was created following the methodology outlined in [Nieves, J. J.,  etc](https://doi.org/10.3390/rs12101545). The grid cells with the highest probability of becoming built settlement were selected until the required percentage of grid cells was reached. 

The WorldPop Global2 R2025A population data were populated with new settlement grid cells and normalised so that the national population count was consistent with the SSP totals. Concurrently, the subnational population proportions calculated at administrative unit level 2 were retained during normalisation. These steps were implemented to create the global gridded population distributions for 2015-2100 for each SSP scenario. 

These data were produced by the WorldPop Research Group at the University of Southampton in collaboration with researchers at the University of Bristol. This work was part of the FuturePop: Constructing high spatial resolution population projections and supporting the provision, access and updates of WorldPop spatial demographic datasets project, funded by the Wellcome Trust (grant 308679/Z/23/Z).

For more details about the datasets, please refer to the [release statement here](https://data.worldpop.org/repo/prj/FuturePop/SSPs_1km_v0_2/Release_Statement_FP_SSPs_1km_v0_2.pdf)



Tags: population
Organization: WorldPop
Satellite detected water extents between 03 and 08 August 2022 over South Sudan

**UNOSAT code: FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 August 2022 compared with the period from 19 to 23 July 2022. Within the cloud free analyzed areas of about 605,000 km2, a total of about 22,000 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 7,000 km2 since the period between 19 to 23 July 2022. Based on Worldpop population data and the maximal flood water coverage, ~565,000 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Dominica: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Dominica: (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
Satellite  detected water extent over Aj Jabalain District, White Nile State of Sudan as of 4 September 2021

**UNOSAT code: FL20210907SDN**  This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 4 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 132 km2 of croplands appear to be likely affected by the flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in Dinagat Island, Region XIII of Philippines as of 23 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures and buildings in Dinagat Island, Region XIII, the Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT and Copernicus EMS identified 3,278 damaged structures, 523 potentially damaged structures, and 3 potentially damaged ports.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Strategic Partnership Cooperation Framework SPCF

The Strategic Partnership Cooperation Framework (SPCF) 2017-2021 is the fourth strategic medium-term cooperation framework for Eritrea. It outlines the collective vision and shared response of United Nations agencies in Eritrea to the National Indicative Development Plan (NIDP) 2014-2018 and responds directly to the goals of the National Charter of the People’s Front for Democracy and Justice (PFDJ) to advance Eritrea’s sustainable development agenda and to the achievement of the Sustainable Development Goals (SDGs). Below are the requirements and funding of the SPCF 2017 - 2021, as of 31 December 2019.

Tags: funding, hxl, operational presence
Organization: OCHA Eritrea
Dominican Republic: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Dominican Republic: (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
Cabo Verde: IBTrACS Storm Tracks

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons.   
   
 Fields available:   
 SID: A unique storm identifier (SID) assigned by IBTrACS algorithm.  
 ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss)   
 BASIN: Basin of the current storm position   
 SUBBASIN: Sub-basin of the current storm position   
 NATURE: Type of storm (a combination of the various types from the available sources)   
 NUMBER: Number of the storm for the year (restarts at 1 for each year   
 LAT: Mean position - latitude (a combination of the available positions)   
 LON: Mean position - longitude (a combination of the available positions)   
 WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency   
 WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

Tags: cyclones-hurricanes-typhoons, hxl
Organization: HDX
Pakistan: National Nutrition Survey

The 2018 Pakistan National Nutrition Survey (NNS 2018) is the largest national nutrition survey carried out in Pakistan. It is designed to provide policymakers, programme managers and academicians a unique set of nutrition-related data including environmental, anthropometric and biochemical indicators. The study group included children, women of reproductive age (WRA) and adolescent boys and girls. NNS 2018 is the fifth national nutrition survey since 1965, but the first to yield district-representative data and to include adolescents and a component on water.

Tags: children, global acute malnutrition-gam, hxl, malnutrition, severe acute malnutrition-sam
Organization: OCHA Pakistan
Brunei: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Brunei: (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: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Guadeloupe: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Guadeloupe: (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
Uganda Displacement Data - Multi-Hazard Response/DRR Platform [IOM DTM]

In response to the need for timely and accurate information on the multi-hazard in Uganda, the International Organization for Migration (IOM) in Uganda implements the Displacement Tracking Matrix (DTM). This dataset includes the number of affected individuals and households, the number of displaced individuals and households, and the most pressing needs.

Tags: affected population, climate hazards, displacement, hxl, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Grenada: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Grenada: (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
Satellite detected waters in Quang Binh Province of Viet Nam as of 22 October 2020

**UNOSAT code: TC20201013VNM**  This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 6,000 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have receded of about 190 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 55,000 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 UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Ilocos, Central Luzon and National Capital regions of Philippines as of 17 November 2020

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected surface waters in Ilocos, Central Luzon and National Capital regions of Philippines as observed from a Sentinel-1 image acquired on 17 November 2020 at 05:46 local time. Within the analyzed area of about 16,500 km2, a total of about 300 km2 of lands appear to be flooded. The water extent appears to have receded of about 900 km2 since 13 November 2020. Based on Worldpop population data and the detected surface waters, about 200,000 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 UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Guatemala: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Guatemala: (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
Flooding in the Philippines on September 22, 2025

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of September 22, 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
Flooding in the Philippines on September 23, 2025

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of September 23, 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
Flooding in the Philippines on September 24, 2025

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of September 24, 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
Lava flow and geological information related to the volcanic eruption in DR Congo and Rwanda as of 27 May 2021

**UNOSAT code: VO20210523COD**  This map illustrates the lava flow extent and the related geological information north of Goma airport, Nord-Kivu province, D.R. of the Congo as detected by satellite images acquired after the eruption of the Mount Nyiragongo on 22 May 2021. UNITAR-UNOSAT analysis used  Sentinel-2 and SAOCOM-1A images acquired on 27 May 2021, at respectively 08:30 UTC and 02:21 UTC, to extract the lava flow extent. Within this map, three vents have been identified along the hillside south of Nyiragongo caldera. In addition, about 10 km of fissures have been mapped and are mainly in NNE-SSW and NNW-SSE directions. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Yemen: Health Facilities

This dataset comprises a comprehensive list of health facilities in Yemen categorized by governorate, district, type of structure (temporary or permanent), type of health facility, and coordinates. It provides detailed information on the locations and characteristics of healthcare establishments across the country. Researchers, policymakers, and healthcare organizations can utilize this dataset to gain insights into the distribution and infrastructure of health facilities in Yemen.

Tags: facilities-infrastructure, health, health facilities
Organization: OCHA Yemen
Honduras:  High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Honduras: (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
Satellite detected water in Izabal department of Guatemala as of 23 November 2020

**UNOSAT code: TC20201119GTM**  This map illustrates satellite-detected surface waters in Izabal department of Guatemala as observed from a Sentinel-1 image acquired on 23 November 2020 at 05:45 Local time. Within the analyzed area of about 6,000 km2, a total of about 150 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 8,600 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 UNITAR-UNOSAT. 

Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas        due to backscattering properties of the radar signal. 

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)