AndreaBozzo/ceres-open-data-index huggingface dataset:
Angola - Food Prices

This dataset contains Food Prices data for Angola, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Tags: economics, food security, indicators, markets
Organization: WFP - World Food Programme
Afghanistan - Food Prices

This dataset contains Food Prices data for Afghanistan, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Tags: economics, food security, indicators, markets
Organization: WFP - World Food Programme
Indonesia - Earthquake on May 22 2026

**ADAM ID: **[sm\_us6000szdy](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000szdy)  Magnitude 5.8 earthquake at 47.73 depth occurred on May 22 2026 116 km ESE of Bitung, Indonesia. The epicentre of the earthquake was located at latitude 1.0936 longitude 126.114. It impacted 1836 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Sierra Leone - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3, ADM4.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Malawi, Chikwawa - Post Tropical Storm Chalane Mapping

Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at https://globhe.com/

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: cyclones-hurricanes-typhoons
Organization: Globhe Drones
Post Tropical Storm Chalane Mapping, Zomba, Malawi

Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at https://globhe.com/

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: cyclones-hurricanes-typhoons
Organization: Globhe Drones
Post Tropical Storm Chalane Mapping, Blantyre, Malawi

Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at https://globhe.com/

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: cyclones-hurricanes-typhoons
Organization: Globhe Drones
Damage Assessment in southern Spera district, Khost province as of 24 June 2022

**UNOSAT code: EQ20220622AFG**  This map illustrates potentially damaged buildings and damaged buildings in Spera district, Khost province of Afghanistan as detected by a NewSat image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 49 potentially damaged buildings, 34 damaged buildings and 145 shelters.
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)
Mauritius - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Cambodia - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Haiti - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Tonga - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Satellite detected water extent over Sylhet, Mymensingh, Dhaka,  and Chattogram Divisions, Bangladesh  as of 26 May 2022

**UNOSAT code: FL20220525BGD**  This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 26 May 2022 at 05:47 local time and using an automated analysis with machine learning method. Within the analyzed area of about 16,000 km2, about 6,800 km2 of lands appear to be flooded. In this area, about 5,400 km2 of croplands and 1,270 km2 of herbaceous wetland appear to be likely affected by the flood waters. 

Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Sunamganj with ~1,700,000 people and Sylhet with ~1,400,000 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)
Bolivia (Plurinational State of) - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Post Tropical Storm Chalane Mapping, Blantyre, Malawi

Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at: https://globhe.com/

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: cyclones-hurricanes-typhoons
Organization: Globhe Drones
Democratic Republic of the Congo - Subnational Population Statistics

Democratic Republic of the Congo administrative level 0 (country), 1 (province), 2 (district) sex and age disaggregated population statistics by year.
These tables are suitable for database or GIS linkage to the [RDC - Administrative Boundaries (levels 0 - 2)](https://data.humdata.org/dataset/cod-ab-cod).

For year 2019 and 2020, please see caveats.

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, demographics, gazetteer, gender and age disaggregated data-gadd
Organization: OCHA Democratic Republic of the Congo (DRC)
Burkina Faso - Food Prices

This dataset contains Food Prices data for Burkina Faso, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Tags: economics, food security, indicators, markets
Organization: WFP - World Food Programme
République Démocratique du Congo : Présence Opérationnelle

La Présence Opérationnelle (3W) est un ensemble de données pour la coordination humanitaire. Il est essentiel de savoir où les organisations humanitaires travaillent, ce qu'elles font et leurs capacités afin d'identifier les lacunes, d'éviter la duplication des efforts et de planifier une future réponse humanitaire. Cet ensemble de données comprend une liste des organisations humanitaires opérant au République Démocratique du Congo au niveau Admin 3.



Tags: crisis-ebola-bundibugyo-virus-disease, hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Democratic Republic of the Congo (DRC)
Guyana - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Uganda - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Uganda, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Uganda - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, geodata
Organization: WorldPop
Malawi - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Uganda - Subnational Population Statistics

Uganda level 0-2 sex and age disaggregated 2023 projected population statistics

REFERENCE YEAR:  2023

These tables reflect the 135 district administrative system.

These population statistics tables are suitable for database or GIS linkage to the administrative level 0-2 boundaries available at [Uganda - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-uga) using the ADM0, ADM1, and ADM2_PCODE items

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, gazetteer
Organization: UNFPA
Democratic Republic of the Congo - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Democratic Republic of the Congo, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Guinea-Bissau - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Democratic Republic of the Congo - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, crisis-ebola-bundibugyo-virus-disease, geodata
Organization: WorldPop
Guinea-Bissau - Flood on Sep 18 2025

**ADAM ID: **[FL-20250918-GNB-01](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_fl_events/items?eventid=FL-20250918-GNB-01)  A flood occurred on Sep 18 2025 in Guinea-Bissau. It affected an estimated 26367 people and 3032 ha of cropland.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: flooding, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Building Damage  Assessment in White House Village, Whitehouse District, Westmoreland Parishe as of 31 October 2025

**UNOSAT code: TC20251028JAM, GDACS ID: 1001230**  This map illustrates the structures and buildings damaged by the passage of Hurricane MELISSA-25. The analysis focuses on White House Village in Westmoreland Parish, as of 31 October 2025. Damage and destruction were identified using very highresolution aerial imagery acquired by NOAA on 31 October 2025.  
In this area, UNOSAT identified a total of 1,875 affected buildings, of which 715 were completely destroyed and 1,160 were damaged.  
This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Building Damage Assessment in Black River Village, Saint Elizabeth Parish as of 29 October 2025

**UNOSAT code: TC20251026HTI, GDACS ID: 1001230**  This map illustrates structures and buildings damaged by Tropical Cyclone MELISSA-25. The analysis focuses on Black River Village, Saint Elizabeth Parish, as of 29 October 2025. Damage and destruction were identified using a WorldView-2 very high-resolution satellite image acquired on 29 October 2025. UNOSAT identified approximately 314 destroyed and 1,183 damaged buildings.  
  
This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

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

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Building Damage Assessment in Crawford Village, Black River District, Saint Elizabeth Parish as of 29 October 2025

**UNOSAT code: TC20251026HTI, GDACS ID: 1001230**  This map illustrates the structures/buildings damaged by Tropical Cyclone MELISSA-25.  
The analysis focuses on Crawford Village, Black River District, Saint Elizabeth Parish, as of 29 October 2025, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on 29 October 2025.  
UNOSAT identified approximately 1,089 buildings as 100% damaged.  
  
This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live Web Map-Flood in Bhutan 2025

**UNOSAT code: FL20251006BTN**  This application provides flood impact assessments in Bhutan  
  
Important note:   
The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre - UNOSAT is not responsible for the misuse or misrepresentation of the map

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)