Mayotte Humanitarian Data | Crisis Response Datasets

Mayotte Buildings (OpenStreetMap Export)

10+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Buildings

OpenStreetMap contains roughly 93.7 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 100% of the total buildings.The average age of data for this region is 1 year, 6 months ( Last edited a month ago ) and 51% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Railways

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

30+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Financial Services (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Financial Services

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Airports

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Health Facilities

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

10+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Education Facilities

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

30+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Roads

OpenStreetMap contains roughly 2.2 million km of roads in this region. Based on AI-mapped estimates, this is approximately 100 % of the total road length in the dataset region. The average age of data for the region is 1 year, 6 months ( Last edited a month ago ) and 35% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

30+ Downloads

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Waterways

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Points of Interest

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Mayotte Sea Ports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

Time Period of the Dataset [?]: March 19, 2025-March 19, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Sea Ports

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HDX HAPI Data for Mayotte

HDX Humanitarian API Data

20+ Downloads

Time Period of the Dataset [?]: January 01, 2020-March 31, 2025 ... More

This dataset updates: Every day

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

CSV

HDX HAPI - Metadata: Data Availability

HDX Humanitarian API Data

200+ Downloads

Time Period of the Dataset [?]: March 18, 2025-March 18, 2025 ... More

This dataset updates: Every day

This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.

CSV

Mayotte - Internal Displacements Updates (IDU) (event data)

Internal Displacement Monitoring Centre (IDMC)

80+ Downloads

Time Period of the Dataset [?]: September 20, 2024-March 19, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: IDMC - Internal Displacement Updates

Conflict and disaster population movement (flows) data for Mayotte. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or 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 international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.

CSV

Mayotte - Food Prices

Food and Agriculture Organization (FAO) of the United Nations

100+ Downloads

Time Period of the Dataset [?]: January 01, 1999-August 31, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Prices

Food Prices for Mayotte. Contains data from the FAOSTAT bulk data service.

CSV

Mayotte - Health Indicators

World Health Organization

300+ Downloads

Time Period of the Dataset [?]: January 01, 2002-December 31, 2023 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: WHO - WHO Health Indicators

This dataset contains data from WHO's data portal covering the following categories: Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics. For links to individual indicator metadata, see resource descriptions.

CSV

Mayotte - Conflict Events

Armed Conflict Location & Event Data Project (ACLED)

400+ Downloads

Time Period of the Dataset [?]: January 01, 2020-March 07, 2025 ... More

This dataset updates: Every week

This dataset is part of the data series [?]: ACLED - Conflict Events

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Mayotte. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.

XLSX

Movement Distribution

Data for Good at Meta

5200+ Downloads

Time Period of the Dataset [?]: December 01, 2022-February 28, 2025 ... More

This dataset updates: Every month

The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps

CSV
PDF

Climate Change Opinion Survey

Data for Good at Meta

5500+ Downloads

Time Period of the Dataset [?]: February 17, 2021-September 03, 2023 ... More

This dataset updates: Never

In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. 2023 aggregated survey responses now available. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.

CSV
XLSX

Facebook Social Connectedness Index

Data for Good at Meta

31000+ Downloads

Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More

This dataset updates: As needed

We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.

Mayotte: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Cyclone Chido: Building Damage Assessment in Passamanty, Mayotte

Microsoft AI for Good Lab

10+ Downloads

Time Period of the Dataset [?]: December 09, 2024-December 09, 2024 ... More

This dataset updates: Never

We ran our damage assessment AI models on images provided by Planet and have mapped out the affected buildings. The images cover Passamainty in Mayotte. We assessed 3,875 buildings in the area, with damage levels as follows: 1,426 buildings are between 0% and 20% damaged 136 buildings are between 20% and 40% damaged 92 buildings are between 40% and 60% damaged 62 buildings are between 60% and 80% damaged 2,159 buildings are between 80% and 100% damaged

Geopackage

Mayotte - Age and Sex Structures (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

This dataset updates: Every year

Constrained 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 Mayotte (Fr.), 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. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained 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 , UC= Unconstrained resolution Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

GeoTIFF

Mayotte - Spatial Distribution of Population (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

This dataset updates: Every year

Constrained estimates, total number of people per grid-cell. 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 number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

GeoTIFF

GRID3 MYT - Settlement Extents v3.0

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

Time Period of the Dataset [?]: January 01, 2016-December 31, 2023 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: GRID3 - Settlement Extents

The GRID3 MYT - Settlement Extents v3.0 consists of a geographic representation of settlements in Mayotte, 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 MYT - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].