AndreaBozzo/ceres-open-data-index huggingface dataset:
IOM - Global Profiles for Internal Displacement (GPID)

While the total numbers of internal displacements – by cause, location, and time – are well documented, global estimates of the demographic and socio-economic profiles of impacted communities have been largely missing. This lack of disaggregated data on variables such as age, sex, income, education, health, and land use, has limited understanding of the diverse vulnerabilities and needs of displacement-affected populations – complicating the work of decision makers tasked with allocating resources effectively.

The Global Profiles for Internal Displacement (GPID) dataset aims to bridge this gap. By combining geolocated displacement data from the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/) with high-resolution global maps of demographic and socio-economic indicators, the dataset provides consistent estimates of key characteristics of populations in locations impacted by internal displacement – annually since 2018 at global, regional, and national level.

Find out more on the [GPID website](https://dtm.iom.int/global-profiles-for-internal-displacement/gpid/index.html).

Tags: agriculture-livestock, climate hazards, conflict-violence, cyclones-hurricanes-typhoons, demographics, displacement, drought, earthquake-tsunami, flooding, gender and age disaggregated data-gadd, internally displaced persons-idp, socioeconomics
Organization: International Organization for Migration (IOM)
Satellite detected water extent over the Boga, Yangon regions and Mon state, surrounding the Gulf of Martaban, Myanmar

**UNOSAT code: FL20210831MMR**  This map illustrates satellite-detected surface waters over the Boga, Yangon regions and Mon state, surrounding the Gulf of Martaban, Myanmar as observed from a Sentinel-1 image acquired on 1 September  2021 at 05:55 local time. Within the analyzed area of about 10,000 km2 , 240 km2 of lands appear to be flooded. The water extent appears to have decreased of about 470 km2 since 25 August 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the township of Thanatpin with ~ 7,300 people. Thaton with ~ 7,000 people. and Paung with ~ 5,700 people.

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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Bangued Town, Abra Province, Cordillera Administrative Region, Philippines

**UNOSAT code: EQ20220727PHL**  This map illustrates potentially damaged buildings and damaged buildings in Bangued Town, Abra Province, Cordillera Administrative Region, Philippines as detected by Pléiades satellite image acquired on 29 July 2022. Within the analyzed area, UNOSAT has identified 137 potentially damaged buildings and 10 damaged buildings.

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: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Quang Binh Province of Viet Nam as of 29 October 2020

**UNOSAT code: TC20201028VNM**  This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 am local time. Within the analyzed area of about 6,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 24 October 2020 Based on Worldpop population data and the detected surface waters, about 70,000 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)
Geodata of Damage Assessment of Sana'a City, Sana'a Governorate, Yemen

This map illustrates satellite-detected damage and destruction in the city of Sana'a, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015, 12 and 31 December 2014, UNITAR-UNOSAT identified a total of 440 affected structures. Approximately 74 of these structures were destroyed, 106 severely damaged, and 260 moderately damaged. Additionally, 35 impact craters were found. A total of four medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. 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)
Myanmar - Subnational Population Statistics

Myanmar subnational projected population statistics at administrative level 0-3, sex and age disaggregated for 2023. This dataset also contains historical data for: 2022. 

REFERENCE YEAR:  2023

These population statistics are suitable for database or GIS linkage to the [Myanmar - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-mmr) or the [Myanamar - Subnational Edge-matched Administrative Boundaries](https://data.humdata.org/dataset/cod-em-mmr) administrative level 0-3 layers using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.

The COD-AB and COD-EM layers manages both 15-feature and 18-feature administrative level 1.  These COD-PS tables conform to the 18-feature system.

See caveats for further information.

Tags: baseline population, census, crisis-myanmar-earthquake, gender and age disaggregated data-gadd
Organization: UNFPA
Global Report on Food Crises 2025

The Global Report on Food Crises (GRFC) 2025 provides a global assessment of the world’s food and nutrition crises. Data are available from 2017 to 2025 as in the latest GRFC edition. Data in the various GRFC editions refer more specifically to a subset of the world's identified food and nutrition crises for which data was available and meeting the GRFC partnership consensus. The GRFC aims at responding to conflicting information derived from different sources and based on different methodologies that lack a consensus-based standard by providing information based on a rigorous methodology and a highly consultative process.

Tags: food security, malnutrition, nutrition
Organization: Food Security Information Network
State of Palestine: Operational Presence

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Palestine at Admin 2.

Tags: hxl, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA occupied Palestinian territory (oPt)
Geodata of Damage Assessment in Jarara Area, Gaza Strip - Occupied Palestinian Territory

This map illustrates satellite-detected damage and destruction in the Jarara area, Gaza Strip, resulting from the July/August 2014 violence in the area. Using a satellite image collected 01 August 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 1,369 damaged structures, including 575 destroyed structures, 233 severely damaged structures and 561 moderately damaged structures. In addition, 182 craters on roads and in agricultural and non-urbanized areas are also visible as of 01 August 2014. 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)
Zones incendiées le 15 août 2021 dans la  commune d'El Amra, wilaya d'Ain-Defla, Algérie

**UNOSAT code: FR20210811DZA**  Cette carte illustre les zones incendiées telles qu'observées à partir d'une image Sentinel-2 acquise le 15 août 2021 à 10:50 UTC dans la commune d'El Amra.
Sur les 22,300 ha analysés, environ 2,500 ha de couverture végétale/forêts apparaissent comme brûlés. 
Ceci est analyse préliminaire et n'a pas encore été validée sur le terrain. N'hésitez pas à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
East Africa - CHIRPS Seasonal Rainfall Accumulation Anomaly by Pentad

Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. It is a gridded rainfall time series for trend analysis and seasonal drought monitoring, spans 50°S-50°N (and all longitudes) and ranges from 1981 to near-present. The anomaly refers to the difference between current rainfall and the average rainfall that occurred between 1981 and 2010 in millimeters. For more information visit the [CHIRPS site](https://www.chc.ucsb.edu/data/chirps).

This dataset contains the latest available CHIRPS anomaly data.  The full list of data available is available from USGS for [Mar-May data](https://edcintl.cr.usgs.gov/downloads/sciweb1/shared/fews/web/africa/east/pentadal/chirps/seasaccum/marmay/anom/lta/downloads/pentadal/), [Oct-Dec data](https://edcintl.cr.usgs.gov/downloads/sciweb1/shared/fews/web/africa/east/pentadal/chirps/seasaccum/octdec/anom/lta/downloads/pentadal/), and others.

Additionally, subnational statistics (mean, min, max) have been calculated for Ethiopia, Kenya, and Somalia and are available in the csv resource.

Tags: climate-weather, hazards and risk
Organization: HDX
Sudan - 2025 Multi-Sector Needs Assessment (MSNA)

The MSNA 2025 assessment employed a countrywide, quantitative data collection methodology, adopting face-to-face interviews with households in all localities but one where key informant were interviewed remotely via phone call.

The 2025 MSNA follows a two-stage stratified cluster sampling methodology with replacement, stratified at the location level utilising population baseline data from the WorldPop 2024 gridded data for the non-displaced population, the most up-to-date IOM-DTM data for IDPs (Sudan Mobility Update 19), and most up-to-date IOM-DTM data for Returnees (Sudan Return Monitoring Snapshot 05) with 90% confidence level and 10% margin of error and a presumed design effect of 1.5. Additionally, a proportional sampling was utilized per each locality to ensure all population groups are equally represented. Ensuring the target will be reached in each locality, a buffer of approximately 15% was adopted. Given the significant differences in humanitarian conditions and response modalities between urban and rural areas, the sampling design incorporates the proportional population distribution across these distinct area types to ensure representative coverage. For the detailed sampling list per locality, see 2025 MSNA Information Sheet.

The 2025 MSNA data underwent through a robust data cleaning and validation through geo-verification, consistency checks, and logic reviews. Weekly sampling accuracy checks were conducted to verify that data is being collected from the correct localities. Where necessary, feedback was provided to operational teams in cases where household selection appears non-random or shelters were not adequately dispersed.

Progress checks were carried out as frequently as possible, at minimum, in line with the sampling accuracy checks, by comparing the number of successful interviews against sample targets in both primary and reserve locations.
To ensure data quality, logical checks were applied to flag localities and enumerators with a high number of inconsistencies. Area coordinators were informed to follow up on where such issues are identified. For more information, please see the final Data Cleaning Log.

The final household and individual data is representative on a locality (Admin2) level. Any disaggregation done at a level lower than the Admin 2 should be reported as indicative.

Tags: cash voucher assistance-cva, demographics, disability, energy, food security, gender, gender-based violence-gbv, health, internally displaced persons-idp, livelihoods, needs assessment, non-food items-nfi, nutrition, protection, returnees, shelter
Organization: International Organization for Migration (IOM)
Geodata of Damage Assessment of Hama, Hama Governorate, Syria

This map illustrates satellite-detected damage and destruction in a portion of the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR / UNOSAT identified a total of 4,976 affected structures within the area of this map. Approximately 4,492 of these were destroyed, 174 severely damaged, and 310 moderately damaged. The city-wide analysis of Hama revealed a total of 5,233 affected structures, of which 4,671 were destroyed, 216 severely damaged, and 346 moderately damaged. While most of the city was damaged by 26 September 2013, 308 structures were newly damaged and 6 structures experienced an increase in damage between that date and 05 March 2014. This analysis was done of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. 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)
Peace and Security Pillar: Language of Peace

The Language of Peace (LoP) data base of peace agreements is a key component of United Nations Mediation Support Unit’s online mediation support capacity. The database has been co-developed with Cambridge University. It is an innovative tool to search provisions of peace agreements providing easy access to compare and collate language on key issues across 75,000+ provisions of around 1,000 peace agreements.

Tags: complex emergency-conflict-security, peacekeeping
Organization: United Nations Peace and Security Data Hub
Yemen - Human Development Indicators

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.
The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Tags: demographics, development, education, gender, health, indicators, socioeconomics
Organization: UNDP Human Development Reports Office (HDRO)
Viet Nam - Human Development Indicators

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.
The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Tags: demographics, development, education, gender, health, indicators, socioeconomics
Organization: UNDP Human Development Reports Office (HDRO)
Uzbekistan - Human Development Indicators

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.
The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Tags: demographics, development, education, gender, health, indicators, socioeconomics
Organization: UNDP Human Development Reports Office (HDRO)
Syria Cultural Sites

The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State ([http://eca.state.gov/cultural-heritage-center](http://eca.state.gov/cultural-heritage-center)) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns.  The data contained herein is entirely unclassified.

Tags: education, education facilities-schools, geodata
Organization: U.S. Department of State - Humanitarian Information Unit (inactive)