Mayotte Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Mayotte, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 136 geographic locations across Mayotte.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Mayotte is Mamoudzou.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1090185 | Combani | Combani | YT | -12.78802 | 45.13405 | 0 | Indian/Mayotte | populated place | |||
| 1090214 | Longoni | Longoni | YT | Koungou | -12.73426 | 45.16298 | 0 | Indian/Mayotte | populated place | ||
| 921707 | Pamandzi | DZA,Pamandzi | YT | Pamandzi | -12.79674 | 45.27938 | 9077 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090464 | Mouanatrindri | Mouanatrindi,Mouanatrindri | YT | -12.8996 | 45.09792 | 0 | Indian/Mayotte | populated place | |||
| 922008 | Amoro | YT | Bandrele | -12.88333 | 45.23333 | 0 | Indian/Mayotte | populated place | |||
| 921688 | Sada | YT | -12.85 | 45.11667 | 0 | Indian/Mayotte | populated place | ||||
| 921980 | Bandele | Bandele,Bandeli | YT | -12.9 | 45.2 | 0 | Indian/Mayotte | populated place | |||
| 1090122 | Nyambo | Gnambo,M’Jago,Nyambo | YT | -12.7094 | 45.12295 | 0 | Indian/Mayotte | populated place | |||
| 1090184 | Mrowalé | Mrowale,Mrowalé | YT | -12.78867 | 45.12798 | 0 | Indian/Mayotte | populated place | |||
| 1090338 | Doujani | Doujani | YT | -12.84514 | 45.10856 | 0 | Indian/Mayotte | populated place | |||
| 1090155 | Chembényoumba | Chembenioumba,Chembenyoumba,Chembénioumba,Chembényoumba | YT | -12.76472 | 45.07793 | 0 | Indian/Mayotte | populated place | |||
| 921798 | Miambani | YT | Bandrele | -12.95 | 45.2 | 0 | Indian/Mayotte | populated place | |||
| 1090340 | Sada | Sada | YT | Sada | -12.85055 | 45.10205 | 9832 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090117 | Mtsangamboua | M’Tsangamboi,Mtsangamboua | YT | -12.69033 | 45.10926 | 0 | Indian/Mayotte | populated place | |||
| 922015 | Acoua | Accua,Acoua,Acua | YT | Acoua | -12.72391 | 45.05819 | 4622 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090266 | Sohoa | Sohoa | YT | -12.82233 | 45.10552 | 0 | Indian/Mayotte | populated place | |||
| 10631740 | Mraféni | Mrafeni,Mraféni | YT | -12.89255 | 45.20592 | 0 | Indian/Mayotte | populated place | |||
| 1090318 | Djivani | Djivani | YT | -12.83342 | 45.12334 | 0 | Indian/Mayotte | populated place | |||
| 1090416 | Rampe Cannelle | Rampe Cannelle | YT | -12.93919 | 45.14272 | 0 | Indian/Mayotte | populated place | |||
| 921695 | Proani | YT | -12.9 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 1090322 | Chiconi | Chiconi | YT | Chiconi | -12.83333 | 45.11056 | 7204 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090161 | M’Tsangamouji | Mtsamgamouji | YT | M’Tsangamouji | -12.75944 | 45.08361 | 5028 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090308 | Ongojou | Angouzou,Ongojou,Ongoujou | YT | -12.83883 | 45.16012 | 0 | Indian/Mayotte | populated place | |||
| 1090304 | Tsararano | Tsararano | YT | -12.83528 | 45.17355 | 0 | Indian/Mayotte | populated place | |||
| 921766 | Mouroni Sanga | YT | Bandrele | -13 | 45.16667 | 0 | Indian/Mayotte | populated place | |||
| 921900 | Dzaoudzi | DZA,Dzaoudzi,Dzaoudzi-Labattoir,Zaudzi,zao de ji,zauji,ザウジ,藻德济 | YT | Dzaoudzi | -12.78339 | 45.25693 | 15339 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090444 | Passi Kéli | Passi Keli,Passi Kéli | YT | -12.98637 | 45.12719 | 0 | Indian/Mayotte | populated place | |||
| 921775 | Moliha | YT | -12.76667 | 45.08333 | 0 | Indian/Mayotte | populated place | ||||
| 921840 | Keledjou | YT | M’Tsangamouji | -12.98333 | 45.21667 | 0 | Indian/Mayotte | populated place | |||
| 1090103 | Mtsahara | Mtsahara | YT | -12.68137 | 45.08274 | 0 | Indian/Mayotte | populated place | |||
| 1090248 | Tsoundzou 1 | Trotrondjeou,Trotrondjéou,Tsoundzou 1 | YT | -12.80615 | 45.2023 | 0 | Indian/Mayotte | populated place | |||
| 1090150 | Moutsoumbatsou | Moutsoumbatsou | YT | -12.75132 | 45.0496 | 0 | Indian/Mayotte | populated place | |||
| 921653 | Zoumougine | YT | -12.73333 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 10631739 | Sakouli | Sakouli | YT | -12.89059 | 45.21077 | 0 | Indian/Mayotte | populated place | |||
| 1090383 | Miréréni | Mirereni,Miréréni,Mrereni,Mréréni | YT | -12.90708 | 45.15295 | 0 | Indian/Mayotte | populated place | |||
| 921842 | Kani Kele | Cani,Cani-Kely,Kani Kele | YT | -12.95 | 45.1 | 0 | Indian/Mayotte | populated place | |||
| 1090410 | Malamani | Malamani | YT | -12.92049 | 45.15836 | 0 | Indian/Mayotte | populated place | |||
| 1090126 | Mtsamboro | M’Zamboro,Mtsamboro,M’Zamboro | YT | Mtsamboro | -12.69982 | 45.06894 | 7724 | Indian/Mayotte | seat of a first-order administrative division | ||
| 921993 | Balembo | YT | -12.98333 | 45.18333 | 0 | Indian/Mayotte | populated place | ||||
| 921799 | M’Ferrolliet | YT | Tsingoni | -12.76667 | 45.13333 | 0 | Indian/Mayotte | populated place | |||
| 1090273 | Foungoujou | Foungoujou | YT | -12.78651 | 45.26162 | 0 | Indian/Mayotte | populated place | |||
| 1090396 | Kavani | Kavani | YT | -12.91497 | 45.19564 | 0 | Indian/Mayotte | populated place | |||
| 922003 | Angoro | Angaro,Angoro | YT | -12.75 | 45.23333 | 0 | Indian/Mayotte | populated place | |||
| 1090412 | Mramadoudou | Mouramedoudou,Mramadoudou | YT | -12.92846 | 45.15324 | 0 | Indian/Mayotte | populated place | |||
| 1090407 | Bambo Est | Bambo Est | YT | -12.92888 | 45.17673 | 0 | Indian/Mayotte | populated place | |||
| 1090455 | Tsimkoura | Tsimkoura | YT | -12.93934 | 45.13739 | 0 | Indian/Mayotte | populated place | |||
| 1090339 | Bandrani | Bandrani | YT | -12.8473 | 45.10457 | 0 | Indian/Mayotte | populated place | |||
| 1090476 | Kani Kéli | Kani Keli,Kani Kéli | YT | Kani-Kéli | -12.95361 | 45.10333 | 4854 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090434 | Dapani | Dapani | YT | -12.97129 | 45.16084 | 0 | Indian/Mayotte | populated place | |||
| 1090223 | Trévani | Trevani,Trévani | YT | -12.73437 | 45.19861 | 0 | Indian/Mayotte | populated place | |||
| 1090397 | Bandrélé | Bandrele,Bandrélé | YT | Bandrele | -12.91276 | 45.19256 | 6350 | Indian/Mayotte | seat of a first-order administrative division | ||
| 1090459 | Majiméouni | Majimeouni,Majiméouni | YT | -12.92521 | 45.10721 | 0 | Indian/Mayotte | populated place | |||
| 1090443 | Mronabéja | Mouroni Abeja,Mronabeja,Mronabéja | YT | -12.9795 | 45.12386 | 0 | Indian/Mayotte | populated place | |||
| 10631769 | Bouchini | Bouchini | YT | -12.68996 | 45.10527 | 0 | Indian/Mayotte | populated place | |||
| 1090321 | Mangajou | Mangajou | YT | -12.84404 | 45.11716 | 0 | Indian/Mayotte | populated place | |||
| 1090361 | Hajangoua | Ajangua,Hajangoua | YT | -12.86607 | 45.19857 | 0 | Indian/Mayotte | populated place | |||
| 921941 | Chingoni | YT | -12.8 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 1090191 | Bouyouni | Bouilloni,Bouyouni | YT | -12.73462 | 45.13914 | 0 | Indian/Mayotte | populated place | |||
| 1090275 | Labattoir | Labattoir | YT | Dzaoudzi | -12.77698 | 45.28234 | 0 | Indian/Mayotte | populated place | ||
| 921748 | M’Zioizie | YT | -12.93333 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 1090247 | PassamaĂŻnti | Passamainti,PassamaĂŻnti,Passamenti | YT | -12.80127 | 45.21061 | 0 | Indian/Mayotte | populated place | |||
| 1090477 | Ngouja | Ngouja | YT | -12.9616 | 45.0845 | 0 | Indian/Mayotte | populated place | |||
| 1090177 | Tsingoni | Tsingoni | YT | Tsingoni | -12.78722 | 45.10278 | 7602 | Indian/Mayotte | seat of a first-order administrative division | ||
| 922002 | Anguebacao | YT | Bandrele | -12.88333 | 45.23333 | 0 | Indian/Mayotte | populated place | |||
| 1090463 | Hanyoundrou | Hanyoundrou | YT | -12.90331 | 45.10093 | 0 | Indian/Mayotte | populated place | |||
| 921983 | Bandamagi | YT | Tsingoni | -12.76667 | 45.16667 | 0 | Indian/Mayotte | populated place | |||
| 1090153 | Tanaraki | Tanaraki | YT | -12.75907 | 45.07015 | 0 | Indian/Mayotte | populated place | |||
| 1090254 | Vahibé | Vahibe,Vahibeni,Vahibé,Vahibéni | YT | -12.79024 | 45.17707 | 0 | Indian/Mayotte | populated place | |||
| 1090439 | Mbouini | Mbouini | YT | -12.98953 | 45.13735 | 0 | Indian/Mayotte | populated place | |||
| 921768 | Mouroni Abeja | YT | -12.98333 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 1090180 | Hachénoua | Hachenoua,Hachénoua | YT | -12.78829 | 45.11298 | 0 | Indian/Mayotte | populated place | |||
| 922013 | Ajangua | YT | Dembeni | -12.86667 | 45.21667 | 0 | Indian/Mayotte | populated place | |||
| 10631857 | Courtomel | Courtomel | YT | -12.79153 | 45.16332 | 0 | Indian/Mayotte | populated place | |||
| 921665 | Trivani | YT | Koungou | -12.75 | 45.21667 | 0 | Indian/Mayotte | populated place | |||
| 921859 | Ironi Kely | Ironi Kely,Ironi-Be | YT | Dembeni | -12.83333 | 45.21667 | 0 | Indian/Mayotte | populated place | ||
| 1090221 | Kangani | Kangani | YT | -12.73186 | 45.18694 | 0 | Indian/Mayotte | populated place | |||
| 1090310 | Barakani | Barakani | YT | -12.83799 | 45.1312 | 0 | Indian/Mayotte | populated place | |||
| 921704 | Passamainty | Passamainti,Passamainty,PassamaĂŻnti | YT | -12.80201 | 45.20818 | 0 | Indian/Mayotte | populated place | |||
| 1090239 | Kaouéni | YT | -12.77121 | 45.22419 | 0 | Indian/Mayotte | populated place | ||||
| 1090384 | Mréréni Bé | Mrereni Be,Mréréni Bé | YT | -12.9058 | 45.15524 | 0 | Indian/Mayotte | populated place | |||
| 1090108 | Handréma | Andrema,Andréma,Handrema,Handréma | YT | -12.68112 | 45.09965 | 0 | Indian/Mayotte | populated place | |||
| 921825 | Longoni | YT | Koungou | -12.75 | 45.18333 | 0 | Indian/Mayotte | populated place | |||
| 1090202 | Dzoumonyé | Dzoumogne,Dzoumonye,Dzoumonyé,Dzumogne | YT | -12.72076 | 45.11848 | 0 | Indian/Mayotte | populated place | |||
| 921759 | M’Sapéré | M’Sapere,Montsapere,Montsapéré,M’Sapéré,Sapere,Sapéré | YT | -12.78619 | 45.21655 | 0 | Indian/Mayotte | populated place | |||
| 1090314 | Kahani | YT | -12.82385 | 45.13141 | 0 | Indian/Mayotte | populated place | ||||
| 1090470 | Bambo Ouest | Bambo Ouest | YT | -12.92429 | 45.08989 | 0 | Indian/Mayotte | populated place | |||
| 1090415 | Chirongui | Chirongui | YT | Chirongui | -12.93194 | 45.14833 | 6173 | Indian/Mayotte | seat of a first-order administrative division | ||
| 921963 | Boeni | YT | -12.91667 | 45.1 | 0 | Indian/Mayotte | populated place | ||||
| 10631733 | Mouanamanga | Mouanamanga | YT | -12.91092 | 45.08078 | 0 | Indian/Mayotte | populated place | |||
| 1090356 | Iloni | Iloni | YT | -12.84553 | 45.19037 | 0 | Indian/Mayotte | populated place | |||
| 921917 | Dembeni | Debenay,Debeney | YT | Dembeni | -12.8436 | 45.18436 | 10141 | Indian/Mayotte | seat of a first-order administrative division | ||
| 921933 | Combani | YT | -12.8 | 45.16667 | 0 | Indian/Mayotte | populated place | ||||
| 1090252 | Kwalé Légion | Kouale-Legion,Koualé-Légion,Kwale Legion,Kwalé Légion | YT | -12.79739 | 45.18814 | 0 | Indian/Mayotte | populated place | |||
| 1090461 | Mzouazia | Mzouazia | YT | -12.92717 | 45.10336 | 0 | Indian/Mayotte | populated place | |||
| 10631767 | Mgnambani | Mgnambani,Mounyambani | YT | -12.93585 | 45.16638 | 0 | Indian/Mayotte | populated place | |||
| 1090253 | Tsoundzou 2 | Tsoundzou Deux | YT | -12.81845 | 45.1972 | 0 | Indian/Mayotte | populated place | |||
| 921673 | Sohoa | YT | -12.83333 | 45.13333 | 0 | Indian/Mayotte | populated place | ||||
| 1090405 | Mtsatoundou | Moutsatoundou,Mtsatoundou,Musicale Plage | YT | -12.9179 | 45.18494 | 0 | Indian/Mayotte | populated place | |||
| 1090123 | Hamjago | Hamjago | YT | -12.68832 | 45.0745 | 0 | Indian/Mayotte | populated place | |||
| 921724 | Ongoujou | Angouzou,Ongoujou | YT | -12.85 | 45.16667 | 0 | Indian/Mayotte | populated place |
Mayotte: Mapping a Fragmented Territory with Geographic Finesse
An Island Between Worlds and Administrative Realities
Mayotte is more than an overseas department—it is a spatial enigma. Geographically located in the Comoros archipelago, politically part of France, and culturally rooted in East Africa and the Indian Ocean, Mayotte resists easy categorization. For geographers, this duality is both a challenge and a privilege: to capture the island’s identity through structured data is to trace the meeting point of tectonics, migration, and colonial history.
Despite its small size, Mayotte is a complex administrative entity with significant urban density, coastal development pressure, and social disparities concentrated within sharply defined boundaries. Understanding these dynamics begins with a clear, structured dataset—one that brings together administrative divisions and geographic coordinates in a practical, usable form.
A Departmental Logic in an Insular Context
As France’s 101st department, Mayotte follows the familiar territorial model of communes nested within arrondissements and regions. But the way this structure manifests on an island of just over 370 square kilometers is unique. Communes are densely packed, sometimes overlapping in function, and often follow historical village clusters rather than modern urban logic.
This dataset captures every city and town in Mayotte, assigning each one its proper administrative classification. Whether you’re working with Dzaoudzi in Petite-Terre or exploring the dynamics of Mamoudzou—the island’s administrative center—each locality is tied to its departmental and regional context. This isn’t just cartographic labeling; it’s essential structure for logistics, policy, and social infrastructure planning.
Geolocation as a Tool for Real-World Precision
In Mayotte, a few hundred meters can mean a dramatic shift in elevation, land use, or administrative jurisdiction. That’s why each city and town in this database comes with accurate latitude and longitude coordinates—essential for planning in areas with limited road access, or for modeling the island’s increasing exposure to climate impacts such as coastal erosion and rising sea levels.
The coordinates are clean, validated, and ready for integration into GIS platforms, mapping dashboards, or mobile apps that support fieldwork. They are not just technical attributes; they are spatial anchors in a territory where space is constrained, and every meter counts.
Excel: The Interface of Actionable Geography
While the data is also available in formats like CSV, SQL, JSON, and XML, the recently introduced Excel (.xlsx) version changes the accessibility game. Excel is the tool that bridges decision-making and data, allowing urban planners, researchers, development agencies, and public administrators to interact with the dataset instantly—no setup required.
With Excel, users can filter by commune, sort by geographic order, or generate quick overviews by arrondissement. The format is intuitive, the structure is clean, and the data is immediately usable for reporting, planning, or monitoring. Whether you're modeling public service reach or simply mapping school locations, Excel makes it smooth.
What the Dataset Contains
* Full list of cities and towns across Mayotte
* Administrative hierarchy by department and arrondissement
* Latitude and longitude coordinates for each locality
* Formats available: Excel (.xlsx), CSV, SQL, JSON, XML
Why Mayotte Needs Granular, Reliable Geographic Data
Mayotte’s demographic growth, administrative evolution, and infrastructural challenges all point to one fact: data matters. From education and healthcare delivery to civil engineering and environmental risk mapping, local governments and development actors need reliable geographic information to act swiftly and effectively.
This dataset addresses that need directly. It brings clarity to a territory often lost in larger French or African regional datasets, and it does so with formats and structure designed for practical use—not academic abstraction.
Seeing Mayotte as a Network of Places, Not Just an Island
To map Mayotte is to take nothing for granted. It is to see the spatial imprint of migration, the limits of insularity, and the potential for transformation embedded in urban and rural spaces alike. Each commune, each city, each village is part of a tightly interwoven system that deserves to be represented with accuracy and care.
This dataset is that representation—rooted in precision, structured for action, and accessible through the powerful lens of Excel. Because for Mayotte, the future is being shaped not just by policy, but by the clarity with which we understand where things are, and how they connect.
