AndreaBozzo/ceres-open-data-index huggingface dataset:
Benin - Subnational Population Statistics

Benin administrative level 0-2 sex and age disaggregated 2024 projected population statistics

REFERENCE YEAR:  2024

These tables are suitable for database or GIS linkage to the [Benin - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-ben) or the [Benin - Subnational Edge-matched Administrative Boundaries](https://data.humdata.org/dataset/cod-em-ben) layers using the ADM0, ADM1, and ADM2-PCODE fields.

Tags: baseline population, gazetteer
Organization: UNFPA
Burundi: Subnational Population Statistics

Burundi administrative level 0-2 sex and age disaggregated 2022 projections with standard and special age categories

REFERENCE YEAR:  2022 (projected from 2008)

Population estimation done by UNFPA with [Institut de Statistiques et d'Etudes Economiques du Burundi](http://www.isteebu.bi).

These CSV tables are suitable for database or GIS linkage to the [Burundi - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-bdi) using the P-codes as keys.  See caveats.

Tags: baseline population, census, gazetteer, gender and age disaggregated data-gadd
Organization: UNFPA
Armenia - Subnational Population Statistics

Armenia administrative level 0-1 projected 2022 population statistics

REFERENCE YEAR:  2021

These tables are suitable for database or GIS linkage to the [Armenia - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-arm) and the [Armenia - Subnational Edge-matched Administrative Boundaries](https://data.humdata.org/dataset/cod-em-arm) using the ADM0_ and ADM1_PCODE fields.


Tags: baseline population, gazetteer
Organization: UNFPA
Angola - Subnational Population Statistics

Angola administrative level 0-2 sex and age disaggregated 2024 projected population statistics

REFERENCE YEAR:   2024

Please see caveats about one special location.

These CSV tables are suitable for database or GIS linkage to the [administrative level 0-2 shapefiles](https://data.humdata.org/dataset/cod-ab-ago).

Tags: baseline population, gazetteer
Organization: UNFPA
Somalia - Settlements

Summary: The settlement data was derived from both the UNDP 1998 and UNDP 2005 datasets along with that of GTZ 2002, FSNAU, KEMRI and OCHA.. This data was cleaned by FAO-SWALIM and OCHA and was updated in 2022. Abstract: Point data of over 10,000 settlements within Somalia, not including IDP settlements. This dataset was compiled by various sources, GTZ, FSNAU, OCHA, Kemri and UNDP and is maintained and updated by OCHA Somalia.

Tags: populated places-settlements
Organization: OCHA Field Information Services Section (FISS)
Morocco - Subnational Population Statistics

Morocco PRELIMINARY administrative level 2 (only) sex and age disaggregated 2014 population statistics

REFERENCE YEAR:  2014

This administrative level 2 dataset is suitable for database or GIS linkage to the [Morocco - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-mar) boundary layer using the ADM2_PCODE field.



Tags: baseline population, gazetteer, gender and age disaggregated data-gadd, morocco-earthquake
Organization: OCHA Field Information Services Section (FISS)
Equatorial Guinea - Subnational Edge-matched Administrative Boundaries

Equatorial Guinea administrative level 0-2 edge-matched gazetteer, shapefiles, geodatabase, and EMF files.

COD-EM datasets do not replace the authoritative [COD-AB available here](https://data.humdata.org/dataset/cod-ab-gnq); however COD-EM datasets may be preferred for cartographic purposes.  See caveats.

Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

Tags: administrative boundaries-divisions
Organization: OCHA Field Information Services Section (FISS)
Western Sahara - Subnational Edge-matched Administrative Boundaries

Western Sahara administrative level 0-2 edge-matched gazetteer, shapefiles, and geodatabase.

Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

This edge-matched product is based on the [Western Sahara  - Subnational Administrative Boundaries (COD-AB)](https://data.humdata.org/dataset/cod-ab-esh).

Tags: administrative boundaries-divisions
Organization: OCHA Field Information Services Section (FISS)
Azerbaijan - Subnational Edge-matched Administrative Boundaries

Azerbaijan administrative level 0-1 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

These boundaries are suitable for database or GIS linkage to the [Azerbaijan - Subnational Population Statistics](https://data.humdata.org/dataset/cod-ps-aze) tables using the ADM0, and ADM1_PCODE fields.

COD-EM datasets do not replace the authoritative [COD-AB available here](https://data.humdata.org/dataset/cod-ab-aze); however COD-EM datasets may be preferred for cartographic purposes.  See caveats.

Vetting by [Information Technology Outreach Services (ITOS)](https://www.uga.edu/) with funding from USAID.

Organization: OCHA Field Information Services Section (FISS)
Madagascar - Subnational Administrative Boundaries

Madagascar administrative level 0-4 boundaries (COD-AB) dataset.

The date that these administrative boundaries were established is unknown.

NOTE:  It is understood that there may have been administrative level 2, 3, and 4 changes.  The OCHA Regional Office is inquiring about official information.  Slight differences in the post-2009 total populations at the fokontany, commune, district and country levels are as a result of rounding of decimal places from the population growth. 
 estimate calculations for 2010 to 2018.

This COD-AB was most recently reviewed for accuracy and necessary changes in March 2024.  The COD-AB requires improvements.

Sourced from Madagascar National Disaster Management Office (BNGRC)

Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the Madagascar [COD-PS](https://data.humdata.org/dataset/cod-ps-mdg).

As this is an island country, no edge-matched (COD-EM) version of this COD-AB is required.

Please see the [COD Portal](https://cod.unocha.org/).

Administrative level 1 contains 22 feature(s).  The normal administrative level 1 feature type is ""Region"".

Administrative level 2 contains 119 feature(s).  The normal administrative level 2 feature type is ""District"".

Administrative level 3 contains 1,579 feature(s).  The normal administrative level 3 feature type is ""Commune"".

Administrative level 4 contains 17,465 feature(s).  The normal administrative level 4 feature type is ""Fokontany"".

Recommended cartographic projection:  Africa Albers Equal Area Conic

This metadata was last updated on January 13, 2025.

Tags: administrative boundaries-divisions, cyclones-hurricanes-typhoons, geodata
Organization: OCHA Field Information Services Section (FISS)
Afghanistan: Humanitarian Situation Monitoring (HSM) Round3 KII Dataset

Humanitarian Situation Monitoring aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities, in order to then support geographical and sectoral prioritizations within the 2022 humanitarian response in Afghanistan, particularly in light of the rapidly evolving context in Afghanistan. The key-informant-based HSM methodology uses settlements as the unit of analysis, using a structured survey tool to interview key informants about the situation in their settlement. A sampling frame covering all 401 districts in Afghanistan was used, covering a minimum of 10% of total settlements in each district. To achieve geographical spread across each district, at least three key informant interviews (KIIs), in a number proportionate to the number of settlements, were conducted in each Basic Service Unit (BSU). To determine a BSU (defined as an economic/geographic service unit which relies on the same services, i.e. healthcare clinics and schools, and common public spaces, i.e. markets and roads), participatory mapping of settlements and services available was conducted prior to data collection. Any analysis conducted using the data in this file will generate statistically non-representative results, as the key informant methodology is indicative

Tags: displacement, education, food security, health, internally displaced persons-idp, water sanitation and hygiene-wash
Organization: REACH Initiative
Myanmar Monsoon Rice Sown Area_v1

Rice sown area estimation from Sentinel-1 SAR and Sentinel-2 optical images using Random Forest Machine Learning method.

The map should be used in association with the sample based area estimation. Area estimation data (95% CI) can be access 
@https://data.humdata.org/dataset/myanmar-state-region-level-monsoon-season-rice-sown-estimation-for-2021-2023.

Original dataset title: Myanmar Monsoon Rice Sown Area 2023_v1

Tags: geodata, livelihoods, topography
Organization: Myanmar Information Management Unit (MIMU)
Satellite Detected Water Extent in the Phonhong & Viengkham Districts, Vientiane Province, Lao PDR

This map illustrates the satellite-detected water extent in the Phonhong & Viengkham Districts, Vientiane Province, in the northwestern part of Lao People’s Democratic Republic after the tropical storm SONCA-17. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 1 August 2017 and detected several areas with potentially standing waters. In the district of Phonhong 2,045 ha are likely flooded and in the district of Viengkham 1,077  ha. 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)
MIMU Pcode Datasets

MIMU Pcode is similar to a zip code or postal code, and is a part of a data management system providing unique reference codes to around 67,000 locations across Myanmar. The MIMU maintains the P-codes for Myanmar based on information collected from a variety of sources, including the Government gazette and humanitarian and development organizations. Without a system for organizing such data it is almost impossible for data from more than one source to be combined.

Tags: administrative boundaries-divisions
Organization: Myanmar Information Management Unit (MIMU)
Lebanon - 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 Lebanon, 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-greater-middle-east, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Iran (Islamic Republic of) - 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 Iran (Islamic Republic of), 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-greater-middle-east, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Central America - Media Analysis

This dataset provides an aggregated view of media content from El Salvador, Guatemala, Honduras and Nicaragua, categorized by topics such as aid requests, migration, politics, natural risks, public services, violence, gender violence and includes counts of articles or reports for each category. The information is sourced using advanced scraping techniques from various regional and international media outlets. Each piece of content is then classified using natural language processing and artificial intelligence to ensure accurate categorization. 
This dataset is invaluable for understanding media trends, the frequency of reporting on specific issues, and the comparative focus across these Central American countries. 

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information

Tags: conflict-violence, gender-based violence-gbv, social media data, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Violence

Using the ACLED database, it's possible to search for various types of events by time and location, including at the country, department, and municipal levels. The types of events recorded include Early Warning alerts, Riots, Armed Clashes between politically organized groups, Explosions/Remote Violence, Protests that are public, and Violence Against Civilians. These categories help track and analyze the dynamics of conflict and political activity across different regions.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: conflict-violence
Organization: Acción contra el hambre - GIS4tech
Geodata of Overview of Flood Waters Near Ha Long City, Quang Ninh Province, Vietnam

This map gives an overview of satellite detected waters near Ha Long City in Quang Ninh Province, northern Vietnam. Due to continuous rain, there is a notable increase in inundated areas north of Ha Long Bay, a UNESCO World Heritage Site. In the analyzed area, approximately 300 hectares of land have been classified as flood affected, mainly agricultural fields as well as mining areas east of the town of Ha Long. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Central America - Fuel Prices

The dataset shows fuel prices (gasoline and diesel) for the countries of El Salvador, Guatemala, Honduras, and Nicaragua. The data has been assessed based on information obtained from FEWS NET.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Fertilizer Prices

The dataset shows Fertilizer prices (Ammonium nitrate, Ammonium sulphate, Fertilizer (12-24-12), Fertilizer (12-30-10), Fertilizer (15-15-15), Fertilizer (15-15-15) Mezcla Física DISAGRO, Fertilizer (15-15-15) Mezcla Química DISAGRO, Fertilizer (16-20-0), Fertilizer (18-46-0), Fertilizer (20-20-0) Mezcla Física DISAGRO, Fertilizer (20-20-0) Mezcla Química DISAGRO, Fertilizer (Potassium Chloride), Urea) for the countries of El Salvador, Guatemala, Honduras, and Nicaragua. The data has been assessed based on information obtained from FEWS NET.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics
Organization: Acción contra el hambre - GIS4tech
Syrian Arab Republic - 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
Vietnam - Gender Equality Monitor

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality.

For more information, visit the [ADPC Gender Equality Monitor](https://gem-servir.adpc.net/).


Tags: education, employment, gender, health
Organization: Asian Disaster Preparedness Center
Thailand - Gender Equality Monitor

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality.

For more information, visit the [ADPC Gender Equality Monitor](https://gem-servir.adpc.net/).


Tags: education, employment, gender, health
Organization: Asian Disaster Preparedness Center
Guyana - 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
Myanmar - Gender Equality Monitor

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality.

For more information, visit the [ADPC Gender Equality Monitor](https://gem-servir.adpc.net/).


Tags: education, employment, gender, health
Organization: Asian Disaster Preparedness Center
Laos - Gender Equality Monitor

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality.

For more information, visit the [ADPC Gender Equality Monitor](https://gem-servir.adpc.net/).


Tags: education, employment, gender, health
Organization: Asian Disaster Preparedness Center
Cambodia - Gender Equality Monitor

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality.

For more information, visit the [ADPC Gender Equality Monitor](https://gem-servir.adpc.net/).


Tags: education, employment, gender, health
Organization: Asian Disaster Preparedness Center
Central America - Crops Vegetation and Standardized Precipitation Index

Database containing information related to precipitation indices useful for analysing and comparing variations in precipitation over time and in different geographical regions and indices used in the analysis of vegetation and crops to monitor their activity and detect their presence in the territory. Key variables: Atmospherically Resistant Vegetation Index (ARVI), Normalized Difference Vegetation (NDVI),  Enhanced Vegetation Index (EVI) and  Structure Insensitive Pigment Index (SIPI) for rainfall information and Standardized   Precipitation  Index (SPI1, SPI3, SPI6, SPI9 and SPI12) for vegetation information. The indicators between SPI1 - SPI3 refer to short time periods (indicator for immediate impacts) while SPI3 - SPI12 is for more medium-term impact measurements. Each vegetation index is based on a set of data that can be collected through remote sensing, such as satellite imagery, and is designed to measure different vegetation and crop characteristics. The data are categorised by country, department and municipality and by year and month. The indices refer to the monthly average. Vegetation and precipitation data have been produced and transformed by GIS4Tech. 

For more information contact GIS4Tech:  info@gis4tech.com. You can also visit the PREDISAN platform: https://predisan.gis4tech.com/ca4


Tags: agriculture-livestock, climate hazards, climate-weather
Organization: Acción contra el hambre - GIS4tech
Central America - Agroclimatics Hazards

A summary table is established at the municipal level with the list of agroclimatic hazards calculated from the agroclimatic indicators shown in the Vulnerability panel. For each column, the threat category in which the municipality would be found is defined (No risk, Mild threat, Moderate threat, Severe threat), and the final column represents the general summary of global threats, obtained using the 20% rule. The calculation made within each category is established through a matrix of crossed conditions.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: climate hazards, climate-weather, socioeconomics
Organization: Acción contra el hambre - GIS4tech