AndreaBozzo/ceres-open-data-index huggingface dataset:
Panama - Subnational Administrative Boundaries

Panama administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 13 province or indigenous territory (provincia o comarca comarca indígena)  
- Admin 2: 76 district or indigenous territory (distrito o comarca indígena)  
- Admin 3: 594 municpiality (corregimiento)  
  
  
Dates associated with this dataset:  
- 30 October 2025: dataset reviewed for accuracy and completeness  
- 20 October 2021: valid for use by the humanitarian community  
- 15 June 2020: last edit to the dataset before publishing  
- 15 June 2020: 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)
Pakistan - Subnational Administrative Boundaries

Pakistan administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 7 Province or Territory  
- Admin 2: 160 District  
- Admin 3: 577 Tehsil  
  
  
Dates associated with this dataset:  
- 27 September 2024: dataset reviewed for accuracy and completeness  
- 09 September 2022: valid for use by the humanitarian community  
- 02 September 2022: last edit to the dataset before publishing  
- 02 September 2022: 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)
Nicaragua - Subnational Administrative Boundaries

Nicaragua administrative level 0-2 boundaries (COD-AB) dataset version 02.  
  
This dataset is structured into 2 levels:  
- Admin 1: 17 Department or autonomous region (Departamento o región autónoma)  
- Admin 2: 153 municipality (municipio)  
  
  
Dates associated with this dataset:  
- 07 November 2024: dataset reviewed for accuracy and completeness  
- 27 November 2023: valid for use by the humanitarian community  
- 11 October 2017: last edit to the dataset before publishing  
- 11 October 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)
Nigeria - Subnational Administrative Boundaries

Nigeria administrative level 0-3 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 3 levels:  
- Admin 1: 37 State  
- Admin 2: 774 Local Governement Area  
- Admin 3: 714 Ward, partial coverage  
  
  
Dates associated with this dataset:  
- 30 October 2025: dataset reviewed for accuracy and completeness  
- 17 April 2019: valid for use by the humanitarian community  
- 01 October 1996: last edit to the dataset before publishing  
- 01 October 1996: boundaries created by the source  
  
Contributed by [OCHA Nigeria](https://data.humdata.org/organization/ocha-nigeria).  
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)
Niger - Subnational Administrative Boundaries

Niger administrative level 0-3 boundaries (COD-AB) dataset version 02.  
  
This dataset is structured into 3 levels:  
- Admin 1: 8 Region (Région)  
- Admin 2: 67 SD0  
- Admin 3: 266 Commune  
  
  
Dates associated with this dataset:  
- 30 October 2025: dataset reviewed for accuracy and completeness  
- 20 July 2023: valid for use by the humanitarian community  
- 01 January 2006: last edit to the dataset before publishing  
- 01 January 2006: boundaries created by the source  
  
Contributed by [OCHA Niger](https://data.humdata.org/organization/ocha-niger).  
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)
Namibia - Subnational Administrative Boundaries

Namibia administrative level 0-2 boundaries (COD-AB) dataset version 01.  
  
This dataset is structured into 2 levels:  
- Admin 1: 14 Region  
- Admin 2: 107 Constituency  
  
  
Dates associated with this dataset:  
- 28 January 2025: dataset reviewed for accuracy and completeness  
- 09 January 2020: valid for use by the humanitarian community  
- 01 January 2011: last edit to the dataset before publishing  
- 01 January 2011: 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)
Burkina Faso Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2015

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 2015

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Ethiopia: Rainfall Anomaly

Rainfall anomaly refers to the difference between the observed rainfall and the long-term average for a specific location and time period. It indicates whether rainfall conditions are above or below normal. Positive anomalies represent higher-than-average rainfall, while negative anomalies indicate below-average rainfall. These anomalies are essential for monitoring climate variability, including droughts and floods, and for assessing their impacts on agriculture, water resources, and other sectors. For this analysis, CHIRPS daily rainfall data for Ethiopia were utilized, covering the month of March 2024, 2025 and 2025. Rainfall anomalies for month of March were calculated by subtracting the long-term average (2000–2020) from the observed rainfall values for the same period.

Tags: climate-weather, disaster risk reduction-drr, drought, environment
Organization: 3iS
Sauti za Wananchi Taxation dataset - Kenya 2021

This dataset come from a special round of Twaweza’s Sauti za Wananchi mobile phone panel survey. The dataset was creating  through random sampling from a database of  contacts from previous surveys to establish a national representative panel of the country’s population. The data was collected from 3,000 respondents in the fifth round of the special Sauti za Wananchi panel, conducted between September 11 and 24, 2021. The dataset contain information related to citizens’ knowledge, attitudes and practices on matters relating to taxation, state of the country and matters relating to owning and running a business in Kenya.

Organization: Uwezo at Twaweza East Africa (inactive)
Chad: Acute Malnutrition

This dataset includes Acute Malnutrition Analyses conducted by the IPC. 

Malnutrition in Chad is driven by a number of factors, including inadequate food intake and poor dietary diversity among children, high prevalence of childhood diseases, high levels of acute food insecurity and poor water, hygiene and sanitation conditions, as well as shocks such as flooding and insecurity.

Tags: global acute malnutrition-gam, malnutrition, severe acute malnutrition-sam
Organization: HDX
Global Hunger Index

The [Global Hunger Index (GHI)](https://www.globalhungerindex.org/ "https://www.globalhungerindex.org/") is a tool designed to comprehensively measure and track hunger at global, regional, and national levels, reflecting multiple dimensions of hunger over time. The GHI is intended to raise awareness and understanding of the struggle against hunger, provide a way to compare levels of hunger between countries and regions, and call attention to those areas of the world where hunger levels are highest and where the need for additional efforts to eliminate hunger is greatest. It uses internationally recognized data sources. 

The GHI was first published in 2006 by the International Food Policy Research Institute (IFPRI) and [Welthungerhilfe (WHH)](https://www.welthungerhilfe.org/ "https://www.welthungerhilfe.org/") and is since published yearly. In 2007 [Concern Worldwide](https://www.concern.net/ "https://www.concern.net/") became a co-publisher; in 2018, IFPRI withdrew; and in 2024, the Institute for [International Law of Peace and Armed Conflict (IFHV)](https://www.ifhv.de/ "https://www.ifhv.de/") of the Ruhr University Bochum joined as academic partner. 

The index scores countries on a 100-point scale, where higher scores indicate more severe levels of hunger, and classifies them into categories ranging from "low" to "extremely alarming". By integrating data on undernourishment, child stunting, child wasting, and child mortality, the GHI provides a multidimensional picture of hunger, capturing population-wide food access as well as nutritional outcomes for children-a particularly vulnerable group for whom a lack of dietary energy, protein, and essential micronutrients leads to elevated risks of illness, impaired physical and cognitive development, and death.

Tags: development, food security, indicators, malnutrition, nutrition, population, severity
Organization: Institute for International Law of Peace and Armed Conflict
Colombia - Health Facilities - REPS

Health Facilities and services offered by Health Services Providers registered at the Ministry of Health and Social Protection.

The following data was downloaded from the Special Registry of Health Service Providers (REPS in Spanish). Please consult the official website to get the most updated data at [https://prestadores.minsalud.gov.co/habilitacion/](https://prestadores.minsalud.gov.co/habilitacion/)

__________

Instituciones y servicios ofrecidos por las Instituciones Prestadoras de Servicios de Salud (IPS) registradas ante el Ministerio de Salud y Protección Social.

Los siguientes datos fueron descargados del Registro Especial de Prestadores de Servicios de Salud (REPS). Por favor consulte la página oficinal para obtener los datos más actualizados en [https://prestadores.minsalud.gov.co/habilitacion/](https://prestadores.minsalud.gov.co/habilitacion/)

Tags: facilities-infrastructure, health, health facilities
Organization: Health Cluster
Syrian Arab Republic: JIAF Humanitarian Needs and Response Plan

This dataset contains the overall people in need, intersectoral severity and people targeted by subdistrict (admin3). The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA Syria
Malawi - Health Facility Registry

The main purpose of the [Malawi Health Facility Registry](https://zipatala.health.gov.mw/) is to provide an easily accessible national online database containing a comprehensive list of health facilities in the country for purposes of facilitating planning for service delivery and performance accountability. The Ministry of Health and Population maintains a comprehensive list of all health facilities in Malawi with a purpose of strengthening health service delivery. The list was previously maintained through a spreadsheet file which made it difficult to update and to access especially by the decision makers.

Additionally, various sections of the Ministry have been maintaining parallel health facility lists making it harder to share and triangulate data across systems. To address these challenges, the Ministry has implemented an online Master Health Facility Registry (MHFR). The MHFR is a web service with a user interface to allow health workers get access to the full list of facilities and view summaries through the dashboard in addition to performing custom queries depending of specific information

Please consult the [official website](https://zipatala.health.gov.mw/) to get the most updated database

Tags: facilities-infrastructure, health, health facilities
Organization: Health Cluster
Satellite detected water extents as of 26 and 31 January, and 2 February 2022

**UNOSAT code: TC20220126MWI**  This map illustrates the floods (cumulative) aggregated using Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis were carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 people.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.


Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Thua Thien Hue Province of Viet Nam as of 10 November 2020

**UNOSAT code: TC20201028VNM**  This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 10 November 2020 at 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 200 km2 of lands appear to be flooded. The water extent appears to have increased of about 50 km2 since 4 November 2020. Based on Worldpop population data and the detected surface waters, about 65,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Puerto Cabezas, Prinzapolka, Laguna de Perlas Municipality, Nicaragua as of 8 November 2020

**UNOSAT code: TC20201103NIC**  This map illustrates satellite-detected surface waters in Puerto Cabezas, Prinzapolka and Launa de Perlas Municipality, Nicaragua as observed from Sentinel-1 image acquired on 08 November 2020. Within the analyzed area of about 12,000 km2, a total of about 1,200 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 7,500 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areasand densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Global Health Humanitarian Overview - HRP data

This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to gather the figures relevant to Humanitarian Health response at global levels. The information is collected from the last available data from publicly validated sources. See detailed info below. The data is mainly compiled from HRP and follows the structure of the Global Humanitarian Overview.

 For any ideas, updates, or corrections please contact GHCU-IMU at [healthcluster@who.int](mailto:healthcluster@who.int).  

The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement.

The compilation is expected to be updated. Not all the fields are available in the reviewed documents, and it is expected to be complemented.


Tags: baseline population, covid-19, demographics, health, humanitarian needs overview-hno, humanitarian response plan-hrp, people in need-pin
Organization: Health Cluster
Myanmar - Statistical Yearbook 2022 - Health indicators

(Additional information below)

The Myanmar Statistical Yearbook 2022 provides an updated compendium of statistics on demographic, geographic, and socio-economic conditions of Myanmar to national and international audiences.

The statistics are compiled mainly from administrative records of the relevant Ministries, Departments, Enterprises, and Private Agencies. It also includes data from Census and Surveys conducted by Government Ministries and the Central Statistical Organization.

[Statistical Yearbooks in PDF since 2011](https://www.mopf.gov.mm/en/page/planning/central-statistical-organization-cso/752)

[Data in Excel format since 2018](https://www.csostat.gov.mm/PublicationAndRelease/StatisticalYearbook)

[Health chapter for 2022](https://www.csostat.gov.mm/Content/PublicationAndRelease/2022/2.htm)

Information on climate, vital statistics, justice, education, labor, agriculture, forestry, etc. is available.

Tags: baseline population, births, children, demographics, health, health facilities, indicators, nutrition
Organization: Health Cluster
Malawi - Fifth Integrated Household Survey 2019-2020

The Integrated Household Survey (IHS) is one of the primary instruments implemented by the Government of Malawi through the National Statistical Office (NSO; http://www.nsomalawi.mw/) to monitor and evaluate the changing conditions of Malawian households. The IHS data have, among other insights, provided benchmark poverty and vulnerability indicators to foster evidence-based policy formulation and monitor the progress of meeting the Millennium Development Goals (MDGs), Sustainable Development Goals (SDGs) as well as the goals listed as part of the Malawi Growth and Development Strategy (MGDS). Previous rounds of the IHS program have been implemented every 6-7 years, but starting with the IHS4 2016/17 round of data collection, the upcoming IHS rounds will be fielded every 3 years as in line with the NSO vision of collecting poverty data on a more frequent basis.

[Official website](http://www.nsomalawi.mw/index.php?option=com_content&view=article&id=230:the-fifth-integrated-household-survey-ihs5-2019-2020&catid=3:reports&Itemid=111)

[Microdata](https://microdata.worldbank.org/index.php/catalog/3818/study-description)

Tags: demographics, economics, employment, facilities-infrastructure, health, livelihoods, socioeconomics
Organization: Health Cluster
Venezuela - Global Youth Tobacco Survey 2019

The GYTS is a school-based survey which uses a self-administered questionnaire to monitor tobacco use among youth and to guide the implementation and evaluation of tobacco prevention and control programmes.

[Study description](https://extranet.who.int/ncdsmicrodata/index.php/catalog/914/study-description)

Access contact:

[ncdmonitoring@who.int](ncdmonitoring@who.int)

https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/global-youth-tobacco-survey


Tags: health, youth
Organization: Health Cluster
Somalia - Weekly Epidemiological Report

Somalia Weekly Epidemiological Reports from the Ministry of Health and the WHO Country Office.

Please visit the official [Ministry of Health website](https://moh.gov.so/en/weekly-epidemiology/) to find the most recent reports.

Please visit the official [WHO Country Office](https://www.emro.who.int/somalia/information-resources/weekly-epi-watch.html) to find the most recent reports.

Available indicators:

- Acute diarrhoeal cases
- Suspected Measles cases
- Suspected Malaria cases
- SARI cases
- Suspected cholera cases

Tags: children, disease, health, indicators
Organization: Health Cluster
Malawi - Health Statistics by district 2020

Health Statistics from the [Statistical Yearbook 2021](www.nsomalawi.mw/index.php?option=com_content&view=article&id=41&Itemid=64), the [Population and Housing Census 2018](https://data.humdata.org/dataset/malawi-population-and-housing-census-2018) and the [Fifth Integrated Household Survey (IHS5) 2019-2020](http://www.nsomalawi.mw/index.php?option=com_content&view=article&id=230&Itemid=111).

The dataset has indicators at district level about: 

- Chronic Illness
- Illness and Injury
- Deliveries attended by skilled personel
- Place of delivery
- Population with disability
- Health actions taken by households
- Rubbish disposal
- Improved sanitation
- Improved water sources
- Food Security
- Low birth weight
- Nutrition
- Malaria


Tags: children, demographics, disease, health, malaria, nutrition
Organization: Health Cluster
Satellite detected water extents between 01 and 29 August 2022 over Pakistan

**UNOSAT code: FL20220808PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan between 01 to 29 August 2022. Within the analyzed area of about 793,000 km2, a total of about 75,000 km2 of lands appear to be affected with flood waters amongst which 48,530 km2 are flooded croplands. Based on Worldpop population data and the maximum flood water coverage, at least 22 million people were potentially exposed or living close to flooded areas in August 2022.
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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Province 1 and 2 , Nepal as of 1 of July 2021

**UNOSAT code: FL20210630NPL**  This map illustrates satellite-detected surface waters in Province 1 and 2 as observed from a Sentinel-1 image acquired on 1 July 2021 at 05:58 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 110,000 km2 and, about 645km2 of lands appear to be flooded.  Based on Worldpop population data and the detected surface waters in the analyzed area, about 700,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

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