AndreaBozzo/ceres-open-data-index huggingface dataset:
REACH Central African Republic 2022 Multi-Sectoral Needs Assessment (MSNA), Household and Individual Dataset

The 2022 Multi-Sectoral Needs Assessment (MSNA), conducted by the REACH Initiative in close collaboration with the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) and mandated by the Inter-cluster Coordination Group (ICCG), aims to understand the multi-sectoral and sector-specific needs, circumstances, and vulnerabilities of households across the entire territory of the Central African Republic. It also aims to understand specific needs and vulnerabilities of population groups, namely non-displaced households, returnees, internally displaced persons (IDPs) living in host communities, and IDPs living at sites. 

The needs assessment covers protection, health, mental health, WASH, Shelter and NFI, Education, food security, livelihoods and disabilities, as well as the perception of and satisfaction with humanitarian aid (AAP).

The 2022 MSNA was conducted through a statistically representative household survey across 66 accessible sub-prefectures (admin2) out of the 72 sub-prefectures of the country. The inaccessible sub-prefectures were evaluated using a Key Informant survey. In consultation with key humanitarian partners and actors, a joint set of indicators, questions, and answer choices were developed for the assessment of needs in the context of the Central African Republic. All surveys were conducted through face-to-face interviews, using the tablet-based Kobo Collect Open Data Kit (ODK) app.

Household data collection took place from July 20 to September 18, 2022. A total of 12,347 households were assessed after data cleaning. Data is statistically representative at a 92% confidence level and a +/- 10% margin of error with a buffer of 10% for the entire population on the level of sub-prefectures (admin2) and higher levels, and for specific population groups on the level of prefectures (admin1) and higher levels.

Tags: education, food security, health, needs assessment, non-food items-nfi, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Cameroon - 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
Somalia - Mortality Estimation

Retrospective mortality estimation in Somalia, 2014-2018: a statistical analysis.

Indicators available:
- Crude death rate
- Under five death rate
- Excess mortality rate


More information [here](https://reliefweb.int/report/somalia/retrospective-estimation-mortality-somalia-2014-2018-statistical-analysis).

Tags: demographics, health, hxl, indicators, mortality
Organization: Health Cluster
Vanuatu: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Vanuatu: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Uzbekistan: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Uzbekistan: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
North Macedonia: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Macedonia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Mongolia: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mongolia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Monaco: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Monaco: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Lithuania: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Lithuania: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Liechtenstein: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Liechtenstein: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Latvia: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Latvia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Sao Tome and Principe: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Sao Tome and Principe: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: baseline population, children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
MIMU HDP Nexus 5W

The MIMU HDP NEXUS 5W (formerly known as MIMU 3W) supports the coordination of humanitarian, development and peace-related activities across Myanmar. 

It maintains updated information on WHO (which organizations) are doing WHAT (which activities), WHERE (in which locations), WHEN (project status and time frame), for WHOM (project focus), to enable organizations and donors to improve the targeting of beneficiaries to ensure that humanitarian, development and peace-focused needs are met.

It represents information as reported by organisations contributing to the exercise. The products do not show the presence of organisations and do not indicate the volume of assistance, the number of beneficiaries, or the extent to which needs are met or unmet. The HDP Nexus 5W Products have been prepared for operational purposes only, to support humanitarian and development activities in Myanmar. It is based on currently available information and is provided “as is”, for reference purposes only. The boundaries and names shown, and the designations used on MIMU Products do not imply any opinion or endorsement of these terms by the United Nations and are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.

The MIMU HDP Nexus 3W was established in 2008 after Cyclone Nargis and has since been expanded to reflect humanitarian and development activities undertaken by agencies in all States and Regions of Myanmar. In 2022, it was aptly named MIMU HDP NEXUS 5W.

More info and explore the dashboards on [MIMU website](https://themimu.info/5w-maps-and-reports).

Tags: hxl, operational presence, who is doing what and where-3w-4w-5w
Organization: Myanmar Information Management Unit (MIMU)
GRID3 NGA - Operational Wards v2.0

The GRID3 NGA - Operational Wards v2.0 dataset contains operational ward boundaries for the following states in Nigeria: Adamawa, Bauchi, Bayelsa, Borno, Delta, Gombe, Jigawa, Kano, Katsina, Kwara, Niger, Ogun, Osun, Oyo, Yobe. This dataset is considered operational and has not been fully validated by government officials.

Dataset citation: 
Center for Integrated Earth System Information (CIESIN), Columbia University 2026. GRID3 NGA - Operational Wards v2.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

Contacts and data queries

The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu


Tags: administrative boundaries-divisions, geodata
Organization: GRID3
Global Food Prices Database (WFP)

This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

This dataset has been replaced by a new and ongoing global food prices dataset [here](https://data.humdata.org/dataset/global-wfp-food-prices).

Tags: economics, indicators, markets
Organization: WFP - World Food Programme
Mozambique - Floods - January 2026 - OpenStreetMap Data

This dataset contains OpenStreetMap data exported from the HOTOSM disaster mapping in response to flooding events in the Gaza, Maputo and Maputo City Provinces of Mozambique (GLIDE: FL-2026-000004-MOZ) in early 2026. 

Severe flooding in Mozambique has affected more than half a million people following heavy rains in the first weeks of the new year. Gaza province has been hit hardest, alongside Maputo and Sofala provinces.
The first OSM extract was based on [Copernicus' flood extend](https://mapping.emergency.copernicus.eu/activations/EMSR857/download) from 29 January 2026. The first disaster response mapping project focused on settlements around Chicumbane in the Province of Gaza which, from 9 February, expanded to other settlements in the province. It now includes additional settlements further north in the Province. 

HOT worked with [UNICEF](https://www.unicef.org/), [INGD](https://ingd.gov.mz/) (Mozambique Disaster Risk Management Institute) and [OSM Mozambique](https://wiki.openstreetmap.org/wiki/Mozambique) to define priority areas and features.

The data has been contributed by volunteers through the Humanitarian OpenStreetMap Team's Tasking Manager and represents buildings and roads in the affected area. It was updated once or twice a week as mapping progresses but is now updated every other week. Subscribe to this dataset to be notified of any new updates.

This dataset includes all OpenStreetMap features in the area of interest for this event, covering: Buildings, Roads.

See the list of projects in the Tasking Manager [here](https://tasks.hotosm.org/explore?campaign=Mozambique+Floods+2026&omitMapResults=1&status=PUBLISHED%2CARCHIVED%2CDRAFT).

For more information see the [HOTOSM activation page](https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team/Open_Mapping_Hub_Eastern_and_Southern_Africa/Mozambique_Floods_2026).

As of 22 April 2026: over 3,300 contributors (non unique). 

Tags: facilities-infrastructure, flooding, geodata, natural disasters, roads, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
Madagascar - Tropical Cyclone Gezani - OpenStreetMap Data

This dataset contains OpenStreetMap data exported from the HOTOSM disaster mapping response to Tropical Cyclone Gezani in early 2026 (GLIDE: [TC-2026-000015-MDG](https://www.glidenumber.net/glide/public/search/details.jsp?glide=23729&record=1&last=1) ). 

On Tuesday the 10th of February, Tropical Cyclone GEZANI 26 made landfall near the city of Toamasina on the eastern coast of Madagascar as Category 4 cyclone. The cyclone severely damaged homes leading to massive displacements, caused fatalities and injured many. 

HOT is working in collaboration with Madagascar OSM Community, Malagasy Red Cross, and INGD (Mozambique Disaster Risk Management Institute) to prioritise and coordinate the mapping response. 

The data has been contributed by volunteers through the Humanitarian OpenStreetMap Team's Tasking Manager and represents buildings and roads in the affected area. It is updated weekly as mapping progresses. Subscribe to this dataset to be notified of any new updates.

This dataset includes all OpenStreetMap features in the area of interest for this event, covering: Buildings and Roads.

See the list of projects in the Tasking Manager [here](https://tasks.hotosm.org/explore?campaign=Cyclone+Gezani+2026&omitMapResults=1&status=PUBLISHED%2CARCHIVED%2CDRAFT).

For more information see the [HOTOSM activation page](https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team/Open_Mapping_Hub_Eastern_and_Southern_Africa/Cyclone_Gezani_2026).

As of 27 April 2026: over 2,000 contributors (non unique).

Tags: cyclones-hurricanes-typhoons, facilities-infrastructure, geodata, natural disasters, roads, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
Mayotte: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mayotte: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: baseline population, children, elderly, geodata, health, women, youth
Organization: AI for Good at Meta
Percentage of children (aged 36-59 months) with whom any adult household member has engaged in 4 or more activities to provide early stimulation and responsive care in the last 3 days

Percentage of children (aged 36-59 months) with whom any adult household member has engaged in 4 or more activities to provide early stimulation and responsive care in the last 3 days

Tags: children, indicators, protection
Organization: UNICEF Data and Analytics (HQ)
Internally displaced persons

Internally displaced persons are persons or groups of persons who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects of armed conflict, situations of generalized violence, violations of human rights or natural or human-made disasters, and who have not crossed an internationally recognized State border

Tags: children, indicators, migration
Organization: UNICEF Data and Analytics (HQ)
Child Malnutrition: Joint Global and Regional Dataset (UNICEF, WHO, World Bank Group)

Child malnutrition joint global and regional dataset (UNICEF, WHO, World Bank Group) (March 2020)

Definitions:  
Severe Wasting: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight-for-height of the WHO Child Growth Standards.  
Wasting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-height of the WHO Child Growth Standards.  
Overweight – Moderate and severe: Percentage of children aged 0-59 months who are above two standard deviations from median weight-for-height of the WHO Child Growth Standards.   
Stunting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height-for-age of the WHO Child Growth Standards.  
Underweight – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-age of the World Health Organization (WHO) Child Growth Standards.

Tags: children, malnutrition
Organization: UNICEF Data and Analytics (HQ)
Tracking the Situation of Children During COVID-19

Rapid data that track some of the indirect socioeconomic impacts of COVID-19. It is based on recent data collection efforts from UNICEF Country Offices and UNICEF National Committees that entails a survey of over 100 questions. 

For more, visit: https://data.unicef.org/resources/rapid-situation-tracking-covid-19-socioeconomic-impacts-data-viz/

Tags: children, covid-19, socioeconomics
Organization: UNICEF Data and Analytics (HQ)
Kenya - Socio-economic impact of COVID-19 on refugees - Round 2, 2020

The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. For the second wave, 4390 individuals were included belonging to 1735 households.

Tags: covid-19, economics, food security, health, livelihoods, population, refugees, survey
Organization: UNHCR - The UN Refugee Agency
South Sudan - KAP WASH 2018 in South Sudan's Ajuong Thok and Pamir Camps

A Knowledge, Attitudes, and Practices (KAP) survey was conducted in Ajuong Thok and Pamir Refugee Camps in November 2018 to determine the current Water, Sanitation, and Hygiene (WASH) conditions as well as hygiene attitudes and practices within the households (HHs) surveyed. The assessment utilized a systematic random sampling method, and a total of 1,040 HHs (520 HHs in each location) were surveyed using mobile data collection (MDC) within a period of 10 days. Data was cleaned and analyzed in Excel. The summary of the results is presented in this report. 

The findings showed that the overall average number of liters of water per person per day was 21, in both Ajuong Thok and Pamir Camps, which was slightly higher than the recommended Office of the United Nations High Commissioner for Refugees (UNHCR) minimum standard of at least 20 liters of water available per person per day. This is a slight improvement from the 19.5 liters reported the previous year. The average HH size was six people. Women comprised 83.2% of the surveyed respondents and males 16.8%. Almost all the respondents were refugees, constituting 99.6%. The refugees were aware of the key health and hygiene practices, possibly as a result of routine health and hygiene messages delivered to them by Samaritan´s Purse (SP), Africa Humanitarian Action (AHA) and International Rescue Committee (IRC). Most refugees had knowledge about keeping water containers clean, washing hands during critical times, safe excreta disposal and disease prevention.

Tags: disability, elderly, health, needs assessment, nutrition, water sanitation and hygiene-wash
Organization: UNHCR - The UN Refugee Agency
Cameroon - Socio-economic assessement of Central African refugees in Cameroon's Adamanou, Eastern and Northern regions 2016

Due to persistent instability in the region, Cameroon hosts refugees and asylum seekers from neighboring countries, mainly from the Central African Republic and Nigeria. In 2015, nearly 259,000 Central African refugees arrived in Cameroon, of whom the vast majority settled in the Northern, Eastern and Adamaoua regions. Within these regions, the study identified 11 subsistence zones, of which the 5 zones with the highest refugee concentration were surveyed, in order to inform UNHCR's Livelihoods Strategy 2017-2020 targeting these refugees and to provide a baseline against which to measure the success of its implementation. The survey was conducted among 2,206 refugee households in November 2016.

Tags: asylum seekers, conflict-violence, displacement, livelihoods, refugees
Organization: UNHCR - The UN Refugee Agency
Afghanistan - Socio-economic assessment of Pakistani refugees in Afghanistan's Khost and Paktika provinces 2017

Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. 
To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).

Tags: asylum seekers, conflict-violence, displacement, food security, livelihoods, refugees
Organization: UNHCR - The UN Refugee Agency
Afghanistan - Socio-economic assessment of IDPs and returnees in the five most populated settlements of Afghanistan's Herat Province 2017

At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.

Tags: asylum seekers, conflict-violence, displacement, facilities-infrastructure, livelihoods, needs assessment, refugees
Organization: UNHCR - The UN Refugee Agency
Zambia - COVID-19 Impact Assessment on Refugee Livelihoods: Multistakeholder Rapid Assessment - 2020

The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.

Tags: covid-19, livelihoods, migration, refugees
Organization: UNHCR - The UN Refugee Agency