AndreaBozzo/ceres-open-data-index huggingface dataset:
Iraq - IDPs Informal sites profiling and movement intentions

REACH Initiative supports the humanitarian response in Iraq by conducting assessments of informal sites in Iraq, in partnership with the Camp Coordination and Camp Management (CCCM) cluster. The assessment aims to identify movement intentions and highlight the multi-sectoral needs of internally displaced persons (IDPs) residing in informal sites across Iraq. The results of this assessment aim to support evidence-based strategic orientation and inform humanitarian programming in Iraq.

Tags: camp coordination and camp management-cccm, complex emergency-conflict-security, internally displaced persons-idp, migration, needs assessment, populated places-settlements
Organization: REACH Initiative
INFORM subnational risk index 2021, South East Europe

The INFORM subnational model for South East Europe for 3 pilot countries: Albania, Montenegro and North Macedonia, was initiated by UNDRR Regional Office for Europe and Central Asia (ROECA) and the Secretariat of Disaster Preparedness and Prevention Initiative for South East Europe (DPPI SEE) upon prior consent of all DPPI SEE Member States. The INFORM model has been developed under supervision of the EC's JRC INFORM team and financial support from USAID BHA. The INFORM risk index results were produced in close collaboration with national and regional organization/data providers followed by regular meetings of the Regional Working Group (RWG) on INFORM. The RWG members are 2-3 representatives from each Government in the pilot countries (represented by their national civil protection authorities), including the Sendai Monitor National Focal Point, DPPI SEE Secretariat and UNDRR ROECA. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.

INFORM identifies areas at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk.

The INFORM subnational model for South East Europe is developed at the first administrative level (corresponding to the subnational regions, capitals and municipalities) of Albania, Montenegro and North Macedonia. The INFORM risk index was calculated for 44 administrative units.

The INFORM index supports a proactive disaster risk management framework. It will be helpful for an objective allocation of resources for disaster risk reduction and management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies. It also identifies areas for improvement in national disaster data availability and compliance with implementation of Sendai Framework for DRR, SDGs and other global initiatives.

Tags: hazards and risk
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
INFORM subnational risk index 2021, Caucasus and Central Asia

The INFORM subnational model for Caucasus and Central Asia was updated by CESDRR in collaboration with UNDRR and with financial support from USAID BHA in September 2021. The model developed by OCHA and EC’s Joint Research Center for the Regional Inter-Agency Standing Committee (RIASC) Task Force for Caucasus and Central Asia in April 2017. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.

INFORM identifies areas at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk.

The INFORM subnational model for Caucasus and Central Asia is developed at the first administrative level (corresponding to the provinces/oblasts/regions and few independent cities) of the eight countries in South Caucasus and Central Asia. 

The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.

Tags: hazards and risk
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Ukraine - Subnational Population Statistics

This Common Operational Dataset on Population Statistics (COD-PS) is estimated using baseline information from the 2001 Population Census of Ukraine and annual birth and death registration data since the last census. 

REFERENCE YEAR:  2022

The COD-PS is age- and sex-disaggregated at ADM-1 level (i.e. Oblast) and has a reference date of 1 January, 2022.  

The ukr_admpop_2022.xlsx spreadsheet includes a table of sex and age disaggregated 2022 projected population statistics of the 30 administrative level 4 features that correspond to cities of more than 100,000 people (excluding Kyiv city).

These tables are suitable for database or GIS linkage to the [Ukraine - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-ukr)  and [Ukraine - Subnational Edge-matched Administrative Boundaries](https://data.humdata.org/dataset/cod-em-ukr) layers using the ADM0, and ADM2_PCODE fields.

Tags: baseline population
Organization: UNFPA
Kenya - National Average Retail Prices of Selected  household consumption Commodities

Kenya National Bureau of Statistics hereby releases monthly Consumer Price Indices (CPI) and rates of inflation, for March, 2019. These numbers were generated from a survey of retail prices that targeted a basket of household consumption goods and services. The exercise was conducted during the second and third weeks of the month, with prices being obtained from selected retail outlets in 25 data collection zones in Nairobi and in 13 other urban centers.

Tags: survey
Organization: Kenya National Bureau of Statistics (inactive)
Kenya - Gross County Product (GCP) by Economic Activities per county

Gross County Product (GCP) is a geographic breakdown of Kenya’s Gross Domestic Product (GDP) that gives an
estimate of the size and structure of county economies. It also provides a benchmark for evaluating the growth
of county economies over time.
The GCP estimates are consistent with the published national GDP in the sense that the sum of the GCP is equal
to national-level GDP. However, it has not been possible to distribute taxes (less subsidies) on products due to
lack of sufficient details.

Tags: economics
Organization: Kenya National Bureau of Statistics (inactive)
Kenya - Refugees and Asylum Seekers in Kenya by Age and Sex

The dataset presents number of registered refugees and asylum seekers in Kenya by age and sex from 2014 to 2018. The number of registered refugees declined by 3.4 per cent to 471,724 in 2018. This is attributed to the ongoing voluntary repatriation and resettlement. Adult refugee population marginally increased from 215,312 in 2017 to 216,547 in 2018 while child refugee population declined by 6.6 per cent to 255,177

Tags: asylum seekers, refugees
Organization: Kenya National Bureau of Statistics (inactive)
Kenya - Average Gross Commodity Prices to Farmers, 2013 - 2017

The dataset shows the aggregate value of sales of agricultural produce from large and small farms for the last five years. Total value of sales increased by 8.2 per cent from KSh 413.2 billion in 2016 to KSh 446.9 billion in 2017. The value of output from small farms increased by 8.2 per cent from KSh 301.7 billion in 2016 to KSh 326.3 billion in 2017. Sales from large farms similarly increased from KSh 111.6 billion in 2016 to KSh 120.7 billion in 2017. The share of sales from small farms to total marketed production remained the same at 73.0 per cent in 2017.

Tags: agriculture-livestock, food security, indicators
Organization: Kenya National Bureau of Statistics (inactive)
Kenya - Volume and Price Indices of Recorded Agricultural Production Sales 2013 - 2017

The dataset details the average gross commodity prices paid to farmers for various commodities for the period 2013 to 2017. Tea prices increased by 23.9 per cent from KSh 24,732.35 per 100 kilogram in 2016 to KSh 30,652.18 per 100 kilogram in 2017. Coffee prices paid to farmers improved by 16.5 per cent from KSh 40,815.54 per 100 kilogram in 2016 to KSh 47,547.71 per 100 kilogram in 2017. Favourable prices were also realized for maize, sugarcane, milk, beef and pork.

Tags: agriculture-livestock, economics, food security
Organization: Kenya National Bureau of Statistics (inactive)
Archive of Global Tropical Cyclone Tracks (1980 - May 2019)

Archive of Global Tropical Cyclone Tracks Tracks from 1980 to May 2019. Data provided by NOAA International Best Track Archive for Climate Stewardship (IBTrACS). Original data and metadata are available here (https://www.ncdc.noaa.gov/ibtracs/index.php?name=ib-v4-access). For data updates after May 2019, please visit the ncdc website.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: WFP - World Food Programme
Saint Lucia - Subnational Population Statistics

St. Lucia administrative level 0 (country) and 1 (quarter) 2010 sex and age disaggregated population statistics

REFERENCE YEAR:  2010

These tables are suitable for database or GIS linkage to the [Saint Lucia administrative levels 0-2 boundaries](https://data.humdata.org/dataset/cod-ab-lca) layers.

Tags: baseline population, gazetteer
Organization: OCHA Latin America and the Caribbean (ROLAC)
Global Militarisation Index

With its **Global Militarisation Index (GMI)**, BICC is able to objectively depict worldwide militarisation for the first time. The GMI compares, for example, a country’s military expenditure with its Gross Domestic Product (GDP) and its health expenditure. 
It contrasts the total number of military and paramilitary forces in a country with the number of physicians. Finally, it studies the number of heavy weapons available to a country’s armed forces. These and other indicators are used to determine a country’s ranking, which in turn makes it possible to measure the respective level of militarisation in comparison to other countries.

The [latest GMI  of 2023](https://www.bicc.de/Publications/Report/Global-Militarisation-Index-2023/pu/14293) is based on the latest available figures (in most cases data for 2022). The ten countries with the highest level of militarisation in 2022 are Ukraine, Israel, Armenia, Qatar, Bahrain, Saudi Arabia, Greece, Singapore, Azerbaijan and Russia. These countries allocate particularly high levels of resources to the military in comparison to other areas of society. [See project website for more information ](https://gmi.bicc.de)


Tags: complex emergency-conflict-security, conflict-violence, economics, hxl
Organization: Bonn International Centre for Conflict Studies (BICC)
Madagascar - Subnational Population Statistics

Madagascar administrative level 0-4 2018 population statistics

REFERENCE YEAR:  2018

These CSV tables are suitable for database or GIS linkage to the [Madagascar administrative level 0 - 4 boundaries](https://data.humdata.org/dataset/cod-ab-mdg) shapefiles.

Tags: baseline population, gazetteer
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
INFORM Central Asia and Caucasus

The sub national INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.

Tags: hazards and risk
Organization: INFORM
INFORM Guatemala Model

INFORM Guatemala is a municipal risk index that identifies risks, threats, vulnerabilities and response capacities in the 340 municipalities of Guatemala. The municipal risk index simplifies information about crisis risk and is comprised of 29 indicators representing the three dimensions of risk: hazard and exposure, vulnerability, and lack of coping capacity.
The results of the Guatemala INFORM index will be used by the National Coordination System for Disaster Risk Reduction (CONRED) for its analysis of risk of humanitarian crisis and disasters, municipal response capacities and potential humanitarian needs. Government institutions, civil society and international cooperation organizations can also use the results to focus the design and implementation of development programs and projects.

The Guatemala INFORM initiative is supported by UNICEF, OCHA and WFP.

Tags: hazards and risk
Organization: INFORM
INFORM Honduras model

The INFOM Honduras tool has been implemented and will be updated by the Permanent Contingency Commission (COPECO). COPECO and other government institutions will jointly implement the INFORM initiative in the context of the National Risk Management System (SINAGER). The national Humanitarian Network, Civil Society Organizations, Academic institutions, and the Association of Municipalities of Honduras (AMHON) will also collaborate with the initiative.

Tags: hazards and risk
Organization: INFORM
IOM Bangladesh - Needs and Population Monitoring (NPM) Teknaf Para Mapping: Rohingya refugee population figures

The Site Management sector, with the support of SM partners (IOM, UNHCR, ADRA and Solidarités International) conducted a mapping exercise during the months of April and May 2018  in the  areas of Teknaf upazila currently hosting Rohingya refugees. The purpose of the exercise was to identify and map the boundaries of local paras, namely group of houses. 
The mapping exercise aimed to better define the areas of responsibility of the newly established Para Development Commitees, and to support  RRRC’s CiCs in the process of defining the new camp boundaries in Teknaf. 

IOM Needs and Population Monitoring (NPM) provided technical support to better identify the para names and demarcation. 
The para mapping exercise was conducted in two rounds. The first exercise took place from 1 to 3 of April 2018 in the areas of Alikhali, Leda, Nayapara, Muchoni, Jadimura and Domdumia. A second exercise took place on 21 and 22 April 2018 covering the areas of Hakimpara, Jamtoli, Putibonia, Shamlapur and Unchiprang.

This dataset presents the figures of the Rohingya refugee population in Teknaf, by para. 
These data were collected during NPM's regular data collection exercises (Baseline and Site Assessment), which usually capture information on a majhee block level. The two systems are currently coexisting and overlapping. In order to better visualize how the two systems interact, NPM produced a set of maps available at [this link.](https://www.humanitarianresponse.info/en/operations/bangladesh/infographic/iom-bangladesh-needs-and-population-monitoring-npm-teknaf-para-4)



Tags: camp coordination and camp management-cccm, geodata, needs assessment, refugee crisis, refugees
Organization: International Organization for Migration (IOM)
Google Open Buildings 2.5D Temporal

Source: https://sites.research.google/gr/open-buildings/temporal/

The Open Buildings 2.5D Temporal Dataset contains annual data spanning eight years (2016-2023) with building presence, fractional building counts, and building heights covering approximately 58 million square kilometers.

This dataset requires some knowledge with using scripts. The ZIP contains .txt files for over 130 countries and territories. The primary purpose of the data is to support comparison of building footprints across multiple years.

Tags: facilities-infrastructure, geodata
Organization: Google Research
Colombia: Desplazamiento y Confinamiento - Probabilidad y estimación

Datos sobre estimación de personas que pueden ser víctima por desplazamiento individual, masivo y confinamientos y probabilidad de presentarse eventos de desplazamiento y confinamiento para el primer semestre del año 2025.

El archivo de Excel incluye 3 hojas con información sobre:

•	Estimación_Desplaza_individual: Estimación de personas que pueden ser víctimas por eventos de desplazamiento individual y probabilidad de presentarse eventos de desplazamiento individual en el primer semestre del año 2025. 
•	Estimación_Desplaza_masivo: Estimación de personas que pueden ser víctimas por eventos de desplazamiento masivo y probabilidad de presentarse eventos de desplazamiento masivos en el primer semestre del año 2025. 
•	Estimación_Confinamiento: Estimación de personas que pueden ser víctimas por eventos de confinamiento y probabilidad de presentarse eventos de confinamientos en el primer semestre del año 2025. 




Tags: affected population, conflict-violence, displacement, forced displacement, forecasting, internally displaced persons-idp, population
Organization: 3iS
Ethiopia - Facebook Users

This database contains regional estimates of Facebook users based on data from the Facebook Marketing API. It includes information on the number of individuals aged 18 and older who have accessed Facebook in the past month, with data separated by region. These estimates are intended for trend identification and triangulation purposes and are not designed to match official census data or other government sources. 

This data can be used as a proxy of internet access.

It should be noted that there could be duplicates across different regions, and the data is anonymized by Meta.

Tags: baseline population, community engagement, demographics
Organization: 3iS
Ethiopia - Arial Photo Coverage

This shapefile provides information about the extent and availability of aerial photograph coverage across Ethiopia. This dataset is valuable for professionals and researchers involved in cartography, land use planning, environmental monitoring, and infrastructure development, as it helps identify areas with existing aerial imagery and potential gaps where additional coverage may be needed.​

For more detailed information: [Ethiopia Arial Photo Coverage
](https://data.moa.gov.et/dataset/ethiopia-arial-photo-coverage1)

Tags: administrative boundaries-divisions, environment
Organization: 3iS
GRID3 NGA - Settlement Extents v3.1

The GRID3 NGA - Settlement Extents v3.1 consists of a geographic representation of settlements in Nigeria, in two forms: 1) settlement polygons, and 2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. Data inputs and methodology are described in the data release notes.

The current version supersedes GRID3 NGA - Settlement Extents v3.0; the following changes were made:
-Corrections on imputed values for building count and building areas.
-Edits to the data release notes

Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 NGA - Settlement Extents v3.1. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

Tags: geodata, populated places-settlements
Organization: GRID3
GRID3 SHN - Settlement Extents v3.0

The GRID3 SHN - Settlement Extents v3.0 consists of a geographic representation of settlements in Saint Helena, Ascension and Tristan da Cunha, in two forms:
(1) settlement polygons, and 
(2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. 

Both layers include attributes as described in the codebooks. 

Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SHN - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

Tags: geodata, populated places-settlements
Organization: GRID3
Afghanistan - Nexus Risks Index

## Overview

This dataset provides a technically validated, multi-sectoral and system-wide **Nexus Risk Index** for Afghanistan.  
It contains 100 curated indicators (IND001–IND100), tailored to fragile and conflict-affected settings, covering climate, health, energy, infrastructure, food, water, security, governance, and environmental systems.

## Methodological Foundations

- **IPBES Nexus Assessment (2024)**: Used as the core methodological framework  
- **Data Sources**: IPCC, INFORM Risk Index, WMO Global Indicators, GRACE, WGMS, ERA5, GPCC, OSI SAF, and more  
- **Processing**: Standardized, rebaselined, and interpolated using climate-model aligned adjustments, temporal smoothing, and system simulations  
- **Validation**: Expert-reviewed under the GCRI Nexus Ecosystem as part of the *Nexus Reports* quarterly cycle

## Structure

Each indicator includes:
- **Disaster Risk Intelligence (DRI)**: Specialized interpretation of system risk, derived from climate models, hazard projections, or sector disruption patterns
- **Disaster Risk Financing (DRF)**: Tailored financial exposure, shock-buffering capacity, and anticipatory resource needs  
- **Disaster Risk Reduction (DRR)**: Mitigation and adaptation strategy options, aligned with Afghanistan's capacities and SDGs  

## License and Restrictions

> ⚠️ This dataset is **not** intended for sensitive or life-critical operations.  
It is configured specifically for Nexus-based scenario modeling and anticipatory governance applications.  
Adaptability to external tools and platforms requires expert interpretation.

## Technical Documentation

- File formats: `.csv`, `.txt`, `.md`
- Metadata compliant with HDX and GitHub standards
- For full documentation, visit: [https://therisk.global](https://therisk.global)

## Contact

For support or inquiries:
📧 contact@therisk.global  
🌐 [https://therisk.global](https://therisk.global)


Tags: climate hazards, climate-weather, disaster risk reduction-drr, energy, environment, food security, hazards and risk, health
Organization: The Global Centre for Risk and Innovation (GCRI)
Peace and Security Pillar: Presidential Statements of the Security Council

The data is compiled and maintained by the United Nations Dag Hammarskjöld Library.  
  
The United Nations Security Council, established under the UN Charter, serves as the primary organ responsible for maintaining international peace and security. Comprising 15 Member States, including five permanent members with veto power (China, France, Russia, the United Kingdom, and the United States), the Security Council addresses global threats and conflicts through diplomatic means, sanctions, and, if necessary, the authorization of the use of force.  
  
This data contains a comprehensive repository of key information pertaining to presidential statements adopted by this crucial international body. A presidential statement is a statement made by the President of the Security Council on behalf of the Council, adopted at a formal meeting of the Council and issued as an official document of the Council.

Tags: complex emergency-conflict-security, peacekeeping
Organization: United Nations Peace and Security Data Hub
Ethiopia - Gross and Net Enrollment Ration by Region

This dataset provides insights into early childhood education enrollment trends in Ethiopia by capturing Gross Enrollment Rate (GER) and Net Enrollment Rate (NER) for children aged 4 to 6 years, disaggregated by region and sex. It serves as a crucial resource for policymakers, educators, and researchers working to improve access to early education and assess disparities across demographic groups.

Additional information at: [Ministry of Education](https://moe.gov.et/resources/annual-abstract/4)

Tags: children, education
Organization: 3iS