French Polynesia 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 French Polynesia, 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 376 geographic locations across French Polynesia.
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 French Polynesia is Papeete.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4033546 | Teaharoa | PF | -17.46667 | -149.76667 | 0 | Pacific/Tahiti | populated place | ||||
| 4020029 | Hana te Fau | PF | -9.96877 | -139.12015 | 0 | Pacific/Marquesas | populated place | ||||
| 11427340 | Hitianau | PF | ĂŽles Tuamotu-Gambier | Anaa | -16.70477 | -145.35667 | 0 | Pacific/Tahiti | populated place | ||
| 12043876 | Taahuaia | Taahuaia | PF | ĂŽles Australes | -23.34688 | -149.45589 | 0 | Pacific/Tahiti | populated place | ||
| 12042337 | Aouatchora | Aouatchora | PF | ĂŽles du Vent | -17.73141 | -149.29407 | 0 | Pacific/Tahiti | populated place | ||
| 12042493 | Mania | Mania | PF | ĂŽles Tuamotu-Gambier | -17.45406 | -145.47904 | 0 | Pacific/Tahiti | populated place | ||
| 4034032 | Otiaroa | Otiaroa | PF | ĂŽles du Vent | -17.76566 | -149.40033 | 0 | Pacific/Tahiti | populated place | ||
| 12043158 | Poutoru | Poutoru | PF | Leeward Islands | -16.67367 | -151.50191 | 0 | Pacific/Tahiti | populated place | ||
| 4033094 | Vairao | Port Vairao,Vaieri,Vairao | PF | ĂŽles du Vent | Taiarapu-Ouest | -17.78333 | -149.28333 | 2423 | Pacific/Tahiti | populated place | |
| 4034690 | Anatonu | PF | -23.8533 | -147.63788 | 247 | Pacific/Tahiti | populated place | ||||
| 4030679 | Apeakava | Apeakava | PF | ĂŽles Tuamotu-Gambier | -23.09699 | -134.95801 | 0 | Pacific/Gambier | populated place | ||
| 4034234 | Mataorio | PF | -17.58333 | -149.3 | 0 | Pacific/Tahiti | populated place | ||||
| 12043121 | Opunu | Opunu | PF | Leeward Islands | -16.8092 | -151.48628 | 0 | Pacific/Tahiti | populated place | ||
| 4020014 | Hanaui | PF | -9.75097 | -139.09936 | 0 | Pacific/Marquesas | populated place | ||||
| 4034412 | Hauturua | PF | -17.75 | -149.35 | 0 | Pacific/Tahiti | populated place | ||||
| 4034303 | Mahu | Mahu,Mahua | PF | -23.3941 | -149.4768 | 462 | Pacific/Tahiti | populated place | |||
| 4030650 | Gatavaké | Gatavake,Gatavaké | PF | Îles Tuamotu-Gambier | -23.12025 | -134.97939 | 0 | Pacific/Gambier | populated place | ||
| 4034493 | Fareeru | PF | -16.7653 | -150.96614 | 0 | Pacific/Tahiti | populated place | ||||
| 4033931 | Papehee | PF | -17.6 | -149.3 | 0 | Pacific/Tahiti | populated place | ||||
| 4033455 | Teniuohiri | PF | -17.53333 | -149.88333 | 0 | Pacific/Tahiti | populated place | ||||
| 4034528 | Faatautia | Faatautia | PF | ĂŽles du Vent | -17.64101 | -149.31156 | 0 | Pacific/Tahiti | populated place | ||
| 4034688 | Anau | Anau | PF | Leeward Islands | -16.50148 | -151.72135 | 1412 | Pacific/Tahiti | populated place | ||
| 12042253 | Hanaiapa | Hanaiapa | PF | ĂŽles Marquises | -9.72366 | -139.00959 | 0 | Pacific/Marquesas | populated place | ||
| 4033062 | Vaitoare | Tahaa,Vaitoare | PF | ĂŽles Australes | -16.67618 | -151.45743 | 0 | Pacific/Tahiti | populated place | ||
| 4033042 | Vaiuru | Vaiuru | PF | ĂŽles Australes | -23.86977 | -147.64573 | 234 | Pacific/Tahiti | populated place | ||
| 4033534 | Teapaa | PF | -16.76667 | -151 | 0 | Pacific/Tahiti | populated place | ||||
| 4034485 | Faremi | PF | -17.76667 | -149.43333 | 0 | Pacific/Tahiti | populated place | ||||
| 4033981 | Pahiti | PF | -16.70493 | -150.98276 | 0 | Pacific/Tahiti | populated place | ||||
| 4034367 | Ikitake | Ikitake | PF | -17.83333 | -140.85 | 0 | Pacific/Tahiti | populated place | |||
| 12043310 | Brotherson | Brotherson | PF | Leeward Islands | -16.78617 | -151.41317 | 0 | Pacific/Tahiti | populated place | ||
| 12043638 | Vaiea | Vaiea | PF | Leeward Islands | -16.4526 | -152.25026 | 0 | Pacific/Tahiti | populated place | ||
| 11185961 | Anaa | PF | -17.38734 | -145.58189 | 0 | Pacific/Tahiti | populated place | ||||
| 12043201 | Atitautu | Atitautu | PF | Leeward Islands | -16.74289 | -151.43815 | 0 | Pacific/Tahiti | populated place | ||
| 4034118 | Nutae | Nutae | PF | ĂŽles du Vent | -17.7401 | -149.25387 | 0 | Pacific/Tahiti | populated place | ||
| 4034309 | Maeva | Maheva,Moheva | PF | Leeward Islands | -16.70037 | -150.9888 | 0 | Pacific/Tahiti | populated place | ||
| 11592705 | Pira’ e | PF | Îles du Vent | -17.57743 | -149.52397 | 0 | Pacific/Tahiti | populated place | |||
| 4034022 | Otutara | Mataiea,Otutara | PF | ĂŽles du Vent | -17.77207 | -149.41341 | 4609 | Pacific/Tahiti | populated place | ||
| 10941901 | Faie | PF | ĂŽles du Vent | -16.72969 | -150.99548 | 0 | Pacific/Tahiti | populated place | |||
| 4034652 | Araito | PF | -17.53333 | -149.88333 | 0 | Pacific/Tahiti | populated place | ||||
| 4034522 | Faauanu | PF | -17.53333 | -149.35 | 0 | Pacific/Tahiti | populated place | ||||
| 4033617 | Tamatoa | PF | -23.38831 | -149.45093 | 0 | Pacific/Tahiti | populated place | ||||
| 12043185 | Tairineneva | Tairineneva | PF | Leeward Islands | -16.75096 | -151.49003 | 0 | Pacific/Tahiti | populated place | ||
| 4033396 | Tetamanu | Tetamanu | PF | ĂŽles Tuamotu-Gambier | -16.5149 | -145.45836 | 0 | Pacific/Tahiti | populated place | ||
| 12043873 | Tehaunatieva | Tehaunatieva | PF | ĂŽles Australes | -23.39552 | -149.48219 | 0 | Pacific/Tahiti | populated place | ||
| 4033430 | Tepukamaruia | PF | ĂŽles Tuamotu-Gambier | -14.16516 | -141.27156 | 0 | Pacific/Tahiti | populated place | |||
| 4034331 | Maaea | Maaea | PF | ĂŽles du Vent | -17.75865 | -149.37872 | 0 | Pacific/Tahiti | populated place | ||
| 4020045 | Hana-moe-noa | PF | -9.90891 | -139.10151 | 0 | Pacific/Marquesas | populated place | ||||
| 4034590 | Avatoru | Avatoru | PF | ĂŽles Tuamotu-Gambier | Rangiroa | -14.94172 | -147.702 | 0 | Pacific/Tahiti | populated place | |
| 4034624 | Atihiva | PF | -17.73333 | -149.26667 | 0 | Pacific/Tahiti | populated place | ||||
| 4033958 | Paopao | Paopao | PF | ĂŽles du Vent | -17.51863 | -149.82193 | 4221 | Pacific/Tahiti | populated place | ||
| 4033087 | Vairoa | PF | -17.53333 | -149.76667 | 0 | Pacific/Tahiti | populated place | ||||
| 4030852 | Anganui | Anganui | PF | ĂŽles Tuamotu-Gambier | -23.14506 | -135.04116 | 0 | Pacific/Gambier | populated place | ||
| 4033059 | Vaitona | PF | -17.75 | -149.18333 | 0 | Pacific/Tahiti | populated place | ||||
| 4034192 | Mitirapa | PF | -17.74682 | -149.26573 | 0 | Pacific/Tahiti | populated place | ||||
| 4033540 | Teana | PF | ĂŽles Tuamotu-Gambier | -15.83049 | -140.89562 | 0 | Pacific/Tahiti | populated place | |||
| 4034551 | Faanui | Faanui,Fanui | PF | -16.48679 | -151.74102 | 2061 | Pacific/Tahiti | populated place | |||
| 4030554 | Rouru | Roruru,Rouru | PF | ĂŽles Tuamotu-Gambier | -23.13011 | -134.96534 | 0 | Pacific/Gambier | populated place | ||
| 4033235 | Tupana | Tupana | PF | ĂŽles Tuamotu-Gambier | -16.1329 | -146.33579 | 0 | Pacific/Tahiti | populated place | ||
| 4030626 | Hanavave | PF | -10.46355 | -138.66343 | 0 | Pacific/Marquesas | populated place | ||||
| 4034378 | Hurunanu | Houroumanou,Hurumanu,Hurunanu | PF | Leeward Islands | -16.45382 | -152.25638 | 0 | Pacific/Tahiti | populated place | ||
| 4034134 | Niuporiri | PF | -17.78333 | -149.28333 | 0 | Pacific/Tahiti | populated place | ||||
| 4034449 | Garumaoa | Garumaoa,Ngarumaova | PF | -16.01667 | -142.45 | 0 | Pacific/Tahiti | populated place | |||
| 4033898 | Parari | Faraari,Parari | PF | -17.73333 | -149.21667 | 0 | Pacific/Tahiti | populated place | |||
| 4034387 | Hutupu | Hotapuu,Hotopuu,Hutupu,Hutupuu | PF | ĂŽles du Vent | -17.87652 | -149.17962 | 0 | Pacific/Tahiti | populated place | ||
| 4034632 | Ataiti | Ataiti | PF | ĂŽles du Vent | -17.75924 | -149.38319 | 0 | Pacific/Tahiti | populated place | ||
| 12042261 | Anahi | Anahi | PF | ĂŽles Marquises | -9.74148 | -138.93792 | 0 | Pacific/Marquesas | populated place | ||
| 4034508 | Fakatopatere | PF | ĂŽles Tuamotu-Gambier | -14.70977 | -145.24673 | 0 | Pacific/Tahiti | populated place | |||
| 4034016 | Outu Maoro | Outu Maoro,Utu-maoro | PF | -17.56667 | -149.61667 | 0 | Pacific/Tahiti | populated place | |||
| 4034490 | Farehau | PF | -16.71667 | -151.01667 | 0 | Pacific/Tahiti | populated place | ||||
| 4034237 | Mataiva | MVT,Mataiva,Motaiva | PF | -17.75 | -149.18333 | 242 | Pacific/Tahiti | populated place | |||
| 4019883 | Vaitahu | PF | -9.93766 | -139.1076 | 0 | Pacific/Marquesas | populated place | ||||
| 8616973 | Hauru | PF | ĂŽles du Vent | -17.50729 | -149.91377 | 0 | Pacific/Tahiti | populated place | |||
| 12043309 | Raiatea | Raiatea | PF | Leeward Islands | -16.79791 | -151.40198 | 0 | Pacific/Tahiti | populated place | ||
| 12043871 | Haramea | Haramea | PF | ĂŽles Australes | -23.38502 | -149.5202 | 0 | Pacific/Tahiti | populated place | ||
| 12043182 | Manuihi | Manuihi | PF | Leeward Islands | -16.77871 | -151.48898 | 0 | Pacific/Tahiti | populated place | ||
| 12042440 | Murifenua | Murifenua | PF | Leeward Islands | -16.60019 | -151.54068 | 0 | Pacific/Tahiti | populated place | ||
| 4031038 | Hanga Haa | PF | -8.87841 | -140.04384 | 0 | Pacific/Marquesas | populated place | ||||
| 4030674 | Atirikigaro | Atirikigaro | PF | ĂŽles Tuamotu-Gambier | -23.09355 | -134.94498 | 0 | Pacific/Gambier | populated place | ||
| 4034074 | Onoheha | PF | -17.53333 | -149.36667 | 0 | Pacific/Tahiti | populated place | ||||
| 4034376 | Huahine | Huahine | PF | -23.37291 | -149.4971 | 0 | Pacific/Tahiti | populated place | |||
| 4034402 | Hitiaa | Hitia,Hitiaa | PF | -17.6 | -149.3 | 1826 | Pacific/Tahiti | populated place | |||
| 12043127 | Faaini | Faaini | PF | Leeward Islands | -16.72536 | -151.03702 | 0 | Pacific/Tahiti | populated place | ||
| 4034348 | Katiro | PF | -17.78333 | -149.28333 | 0 | Pacific/Tahiti | populated place | ||||
| 4030574 | Omoa | Omoa | PF | -10.51224 | -138.6839 | 0 | Pacific/Marquesas | populated place | |||
| 4019966 | Motopu | Matopu,Motopu | PF | -9.9062 | -139.06782 | 0 | Pacific/Marquesas | populated place | |||
| 4034326 | Maatea | Maatea,Mahatea | PF | -17.58333 | -149.81667 | 0 | Pacific/Tahiti | populated place | |||
| 4033131 | Vaioperu | PF | -17.73333 | -149.55 | 0 | Pacific/Tahiti | populated place | ||||
| 4033654 | Tahateao | PF | -16.71574 | -151.03309 | 0 | Pacific/Tahiti | populated place | ||||
| 4034667 | Apomaoro | PF | -17.75 | -149.5 | 0 | Pacific/Tahiti | populated place | ||||
| 4031069 | Anaho | PF | -8.81949 | -140.06774 | 334 | Pacific/Marquesas | populated place | ||||
| 4034497 | Farauo | Farauo | PF | ĂŽles du Vent | -17.83449 | -149.12921 | 0 | Pacific/Tahiti | populated place | ||
| 11184368 | Manihi | PF | -14.33125 | -145.86479 | 0 | Pacific/Tahiti | populated place | ||||
| 4034307 | Mahina | PF | ĂŽles du Vent | -17.50648 | -149.48899 | 14369 | Pacific/Tahiti | populated place | |||
| 4033453 | Tenukupara | Tenokupara | PF | -14.53964 | -146.35557 | 0 | Pacific/Tahiti | populated place | |||
| 12042428 | Pahure | Pahure | PF | Leeward Islands | -16.58445 | -151.48452 | 0 | Pacific/Tahiti | populated place | ||
| 4036389 | VaĂŻare | PF | ĂŽles du Vent | -17.52083 | -149.77972 | 0 | Pacific/Tahiti | populated place | |||
| 4034005 | Paea | Paca,Paea | PF | ĂŽles du Vent | -17.68333 | -149.58333 | 12084 | Pacific/Tahiti | populated place | ||
| 12042456 | Tapuamu | Tapuamu | PF | Leeward Islands | -16.61892 | -151.54289 | 0 | Pacific/Tahiti | populated place | ||
| 4034588 | Avera | PF | ĂŽles Australes | -22.47814 | -151.35126 | 711 | Pacific/Tahiti | populated place | |||
| 12042452 | Patii | Patii | PF | Leeward Islands | -16.66126 | -151.5132 | 0 | Pacific/Tahiti | populated place |
French Polynesia: Cartography Across Oceans
A Geographer’s Dream in the Heart of the Pacific
French Polynesia is not a single landmass—it is a constellation of over a hundred islands scattered across 2,000 kilometers of the South Pacific. For a geographer, it offers an endless puzzle: isolated urban nodes, fragmented regions, varying administrative layers, and rich indigenous history woven into the archipelagic layout. To map French Polynesia is to map a fluid geography—defined as much by ocean corridors as by continental logic.
Understanding this complex territory requires a reliable foundation of urban data. The cities, villages, and settlements of French Polynesia do not follow the patterns seen on continental terrain. Each one is a story of adaptation—built on atolls, volcanic ridges, or coral fringes. That’s why I created a detailed, structured dataset covering every city’s regional and departmental affiliation, along with precise geographical coordinates.
A Mosaic of Regions in Motion
French Polynesia comprises five main archipelagos: the Society Islands, the Tuamotu Archipelago, the Gambier Islands, the Marquesas Islands, and the Austral Islands. Each operates with its own rhythm, socio-economic fabric, and ecological constraints. The notion of “region” in this context is not merely administrative—it is ecological and cultural.
From the bustling urban planning of Papeete in Tahiti to the resilient coastal settlements of Fakarava, spatial understanding here is multidimensional. For researchers, it’s essential to locate cities within their respective archipelagos and departments to grasp the full narrative behind population movements, infrastructure challenges, and climate resilience.
Latitude and Longitude: Anchoring Urban Identity
When working across oceanic geography, distances are deceptive. Two cities may seem close on a map but are separated by hours of maritime travel. This makes precise location data—not just city names—critical. Latitude and longitude provide the framework to build transport models, study cyclone trajectories, or understand economic reach.
Without accurate coordinates for each urban center, there can be no reliable spatial analysis of French Polynesia. Every island matters. Every dot on the map must be exact.
Excel: The Essential Format for Polynesian Spatial Intelligence
Among the multiple formats offered—CSV, SQL, JSON, and XML—it is Excel (.xlsx) that has emerged as the most universally accessible. Researchers, developers, public agencies, and educators alike can benefit from a dataset that is both technically robust and easy to explore visually.
Excel’s tabular structure enables fast filtering by archipelago, sorting by department, and linking city data with other indicators like elevation, accessibility, or demographic profiles. Whether you're modeling emergency response zones or studying linguistic distribution across islands, Excel brings the power of spatial intelligence to your fingertips.
This format now anchors the dataset, providing an intuitive gateway to deeper geographic exploration.
Why a Specialized Database Matters
French Polynesia is facing rising sea levels, tourism pressures, and logistical challenges tied to its dispersion. Effective planning demands precise, localized data. The database I’ve developed allows users to access the full list of cities, matched to their departments and regions, enriched with accurate coordinates—ready to be used in Excel or converted to formats like CSV, SQL, JSON, or XML depending on the application.
Whether the goal is urban planning, environmental monitoring, or infrastructure development, this dataset enables action grounded in geography.
Conclusion: Mapping the Invisible Threads of French Polynesia
French Polynesia is not just a place—it is a network of places, shaped by geography and connected by intent. Understanding its urban fabric is not a matter of plotting points—it is a journey through cultural identity, resilience, and the pulse of Pacific geography.
My database is a response to that complexity—offering clean, structured data for every city, now accessible in Excel and other formats. It is a tool built not just to inform, but to empower those who work to preserve, understand, and plan the future of this extraordinary territory.
