AndreaBozzo/ceres-open-data-index huggingface dataset:
Colombia: Veredas

The paths correspond with the smallest admin level named "vereda" (Country - Department - Municipality - "Vereda")
It was produced in coordination with UNOCHA Colombia, OpenStreetMap,  and ESRI Colombia. 

Veredas de Colombia - Levantadas en coordinación con UNOCHA Colombia y ESRI. Información extraoficial. 

http://datosabiertos.esri.co/datasets/veredas-de-colombia/data?geometry=-90.321%2C-5.168%2C-56.944%2C2.515 

Tags: administrative boundaries-divisions
Organization: OCHA Colombia
Ayeyarwady river bank erosion

Outputs from seasonal river morphological monitoring system showing erosion and deposition areas along the Ayeyarwady River, Myanmar after the end of every monsoon season developed under the USAID funded SERVIR-Mekong programme. This dataset uses on Landsat 5-7 satellite data series covering 31-year time scale from 1988 to 2019.
You can find tiff files from 1988 to 2019 here : http://geonode.themimu.info/static/riverbankerosin.html

https://myit-servir.adpc.net/

Original dataset title: Ayeyarwady river bank erosion 1988-2019

Tags: geodata, natural disasters
Organization: Myanmar Information Management Unit (MIMU)
Bénin: Coronavirus (Covid-19) Subnational

Subnational data about Covid19 in Bénin - Infections (new cases, gender), Deaths, Recoveries when available. Unfortunately the country does not give the details per region anymore, we keep the database updated at the national level while waiting for the disaggregated data. 

Tags: africa, disease, epidemics-outbreaks, fatalities, health, hxl, west africa
Organization: HERA - Humanitarian Emergency Response Africa
Village Points  Yangon Region PCode v9.6

Village locations (points) in Yangon Region, based on the latest MIMU Pcode version 9.6 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU.

Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments. The United Nations encourages authorities to review place names which include terms that may be viewed or perceived as derogatory.

Tags: geodata, populated places-settlements
Organization: Myanmar Information Management Unit (MIMU)
Village Points  Ayeyarwady Region PCode v9.6

Village locations (points) in Ayeyarwady Region, based on the latest MIMU Pcode version 9.6 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU.

Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments. The United Nations encourages the Government of Myanmar to review place names which include terms that may be viewed or perceived as derogatory.

Tags: geodata, populated places-settlements
Organization: Myanmar Information Management Unit (MIMU)
Uganda - 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
Satellite detected water extents in Northeastern part of Thailand as of 17 October 2021

**UNOSAT code: FL20210928THA**  This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 17 Oct 2021 at 18:20 local time and using an automated analysis with Machine learning method. 
Within the analyzed area of about 60,000 km2 , about 810 km2 of lands appear to be flooded. The water extent appears to have increased of about 220 km2 since 16 October 2021. 
Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 80,000 people mainly located in province of Khon Kaen Province with ~ 24,000 and Nakhon Ratchasima with ~ 22,000 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)
Nauru_Population_Grid_2020

Population Raster Nauru 2020

Data Input: Household locations from 2019 Population and Housing Census conducted using Survey Solutions CAPI (Computer Assisted Personal Interview). 
Year Population Growth Rate of 0.8% has been applied to update population up to 2020

Household locations vector layer has been transformed into a 100m resolution raster.


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/nru_population_grid_2020)_

Organization: Pacific Community
Vanuatu_Population_Grid_2020

Population Raster Vanuatu 2020

Data Input: Household locations from 2016 Population and Housing Census conducted using Survey Solutions CAPI (Computer Assisted Personal Interview). 
Year Population Growth Rate of 2.3% has been applied to update population up to 2020

Household locations vector layer has been transformed into a 100m resolution raster.



_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/vut_population_grid_2020)_

Tags: population
Organization: Pacific Community
Palau_Population_Grid_2020

Population Raster Palau  2020

Data Input: Household locations from 2015 Household listing and population at Enumeration Area level extracted from 2015 Population and Housing Census conducted by Palau's Bureau of Budget & Planning
Year Population Growth Rate of 0.6 % has been applied to update population up to 2020

Household locations vector layer transformed into a 100m resolution raster.


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/plw_population_grid_2020)_

Tags: population
Organization: Pacific Community
Uganda and Burundi. Climate data for some stations

This dataset brings together long-term monthly climate data for selected locations in Uganda and Burundi.

For Uganda, the dataset includes rainfall (mm) and temperature indicators—maximum, minimum, and mean (°C) for the districts of Buikwe, Mukono, Kampala, Lwengo, Masaka, Kalangala, Mityana, Wakiso, Gomba, and Luweero. The data is derived from CHIRPS (for precipitation) and CHIRTS (for temperature), both widely used satellite-based climate datasets.

For Burundi, the dataset includes rainfall (mm), maximum, minimum, and mean temperature (°C), wind speed (m/s), relative humidity (%), and absolute humidity (g/m³). It covers multiple stations, including Bujumbura, Cankuzo, Gisozi, Gitega, Karuzi, Kinyimya, Kirundo, Mparambo, Tora, Musasa, Muyinga, Nyanza, and Rwegura. These data were obtained from the Institut Géographique du Burundi (IGEBU).

All data are provided at a monthly temporal resolution, making the dataset suitable for trend analysis, seasonal assessments, climate variability studies, and integration into broader environmental or socio-economic research.

Additional Resources
A Google Drive link is provided with supporting visualizations for both Uganda and Burundi. The main folder, “Climate Data Visualizations for Uganda and Burundi,” is organized into two subfolders: one for Uganda and one for Burundi.

Each folder contains visual summaries of the dataset. The Burundi folder also includes the Python scripts used to generate the plots. Users are welcome to explore and adapt these scripts to suit their own analysis or visualization needs.



Tags: climate hazards, climate-weather, disaster risk reduction-drr, drought, eastern africa, el nino-el nina, environment, food security, indicators
Organization: Food and Agriculture Organization (FAO) of the United Nations
Democratic Republic of the Congo: Displacement - [Déplacé] - Site Assessment

L’extrait de données mouvement de population (IDP) produit chaque mois est fait suivant la [méthodologie](https://drive.google.com/file/d/1IgrUr-8s2-5SqVKl9Q1ThofGWRQ5m91R/view?usp=sharing) en vigueur en RDC . Pour avoir le nombre de déplacés, elle recommande que soient considérés les données mouvements des déplacements ayant été évaluées sur 2 ans en se référant à la date d’évaluation « evaluation_date» et ceci avec comment référence le mois de l’extraction. Les colonnes « person » et « household » reprennent respectivement le nombre des personnes et ceux des ménages déplacés. Ces filtres sont applique sur la base de données globale.

Tags: displacement, hxl, internally displaced persons-idp, returnees
Organization: OCHA Democratic Republic of the Congo (DRC)
South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2012

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2012

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2012

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2012

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Mozambique Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2018

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Mozambique Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2018

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Malawi - 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
The Democratic Republic of the Congo Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2019

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

The Democratic Republic of the Congo Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2019

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2014

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2014

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Malawi Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2019

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Malawi Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2019

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Malawi Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2014

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Malawi Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2014

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
The Democratic Republic of the Congo Current Situation FEWS NET Acute Food Insecurity Classifications Geographic Data for 2019

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

The Democratic Republic of the Congo Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2019

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2019

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2019

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Burkina Faso Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2012

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Burkina Faso Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2012

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Burkina Faso Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2017

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Burkina Faso Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2017

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Mozambique Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2018

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Mozambique Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2018

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Burkina Faso Current Situation FEWS NET Acute Food Insecurity Classifications Geographic Data for 2011

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Burkina Faso Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2011

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
DRC Health Data Ebola 2018

On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. The Ministry of Health, WHO and partners are responding to this event, and working to establish the full extent of this outbreak. Numbers may fluctuate on a daily basis due to many factors, including continuing monitoring, investigation and reclassification of cases. Alert and suspected cases (not reported here), are systematically investigated to confirm or exclude Ebola virus disease before inclusion in the case counts or discarded as non-cases.

WHO GIS team is supporting the National Health Information System Division (DSNIS) to update the health related geographic data (health zones, areas and health facility structures) and other spatial information such as road, building, school together with the OpenStreetMap community and various partners. To carry out this work, the methodology was decided with local cartographers and together we were able to improve the data locally.



Tags: disease, geodata, health, health facilities
Organization: World Health Organization
Kyrgyzstan - Subnational Administrative Boundaries

Kyrgyzstan administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 9 province, independent city [EN];  область, город [RU];  облусу, шаар [KY])  
- Admin 2: 53 district [EN]; район, [RU]; району [KY], partial coverage  
- Admin 3: 737 community [EN]; айылный аймак [RU]; айыл аймаг [KY], partial coverage  
  
  
Dates associated with this dataset:  
- 31 January 2024: dataset reviewed for accuracy and completeness  
- 19 November 2018: valid for use by the humanitarian community  
- 21 November 2018: last edit to the dataset before publishing  
- 21 November 2018: boundaries created by the source  
  
Contributed by [OCHA Middle East and North Africa (ROMENA)](https://data.humdata.org/organization/ocha-romena).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Iraq - Subnational Administrative Boundaries

Iraq administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 18 Governorate  
- Admin 2: 101 District  
- Admin 3: 294 Sub-district  
  
  
Dates associated with this dataset:  
- 19 December 2024: dataset reviewed for accuracy and completeness  
- 03 June 2019: valid for use by the humanitarian community  
- 05 June 2019: last edit to the dataset before publishing  
- 05 June 2019: boundaries created by the source  
  
Contributed by [OCHA Middle East and North Africa (ROMENA)](https://data.humdata.org/organization/ocha-romena).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Iran (Islamic Republic of) - Subnational Administrative Boundaries

Iran (Islamic Republic of) administrative level 0-2 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 2 levels:  
- Admin 1: 31 provincen (ostān)  
- Admin 2: 429 district (baxš)  
  
  
Dates associated with this dataset:  
- 22 October 2024: dataset reviewed for accuracy and completeness  
- 14 May 2019: valid for use by the humanitarian community  
- 20 May 2019: last edit to the dataset before publishing  
- 20 May 2019: boundaries created by the source  
  
Contributed by [OCHA Middle East and North Africa (ROMENA)](https://data.humdata.org/organization/ocha-romena).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, crisis-greater-middle-east, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Haiti - Subnational Administrative Boundaries

Haiti administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 10 Departement  
- Admin 2: 140 Commune  
- Admin 3: 570 section communale / Communal Section  
  
  
Dates associated with this dataset:  
- 06 January 2025: dataset reviewed for accuracy and completeness  
- 29 November 2018: valid for use by the humanitarian community  
- 29 March 1987: last edit to the dataset before publishing  
- 29 March 1987: boundaries created by the source  
  
Contributed by [OCHA Haiti](https://data.humdata.org/organization/ocha-haiti).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Grenada - Subnational Administrative Boundaries

Grenada administrative level 0-1 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 1 level:  
- Admin 1: 8 Parish  
  
  
Dates associated with this dataset:  
- 07 July 2024: dataset reviewed for accuracy and completeness  
- 09 July 2024: valid for use by the humanitarian community  
- 08 September 2017: last edit to the dataset before publishing  
- 08 September 2017: boundaries created by the source  
  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Guinea - Subnational Administrative Boundaries

Guinea administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 8 Region  
- Admin 2: 34 Prefecture  
- Admin 3: 340 Sub-prefecture  
  
  
Dates associated with this dataset:  
- 24 October 2024: dataset reviewed for accuracy and completeness  
- 04 March 2016: valid for use by the humanitarian community  
- 03 August 2017: last edit to the dataset before publishing  
- 03 August 2017: boundaries created by the source  
  
Contributed by [OCHA West and Central Africa (ROWCA)](https://data.humdata.org/organization/ocha-rowca).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)
Georgia - Subnational Administrative Boundaries

Georgia administrative level 0-2 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 2 levels:  
- Admin 1: 13 Region, city, or autonomous republic  
- Admin 2: 70 District or self-governing city, partial coverage  
  
  
Dates associated with this dataset:  
- 31 January 2024: dataset reviewed for accuracy and completeness  
- 18 October 2019: valid for use by the humanitarian community  
- 28 August 2019: last edit to the dataset before publishing  
- 28 August 2019: boundaries created by the source  
  
Contributed by [OCHA Middle East and North Africa (ROMENA)](https://data.humdata.org/organization/ocha-romena).  
Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx).  
  
Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: OCHA Field Information Services Section (FISS)