Wallis and Futuna cities list with latitude and longitude in CSV,SQL,XML,JSON formats
![Wallis_and_Futuna](./flags/64/wf_64.png)
Last update : 15 January 2025.
This is the best list of 90 cities in the Wallis and Futuna available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Wallis and Futuna file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
4034885 | Alo | Alo,Malae,Ono | WF | Alo | -14.31096 | -178.11094 | 239 | Pacific/Wallis | seat of a first-order administrative division | ||
4034856 | Halalo | Ha’alalo,Halalo | WF | Uvea | -13.3454 | -176.21464 | 563 | Pacific/Wallis | populated place | ||
11880085 | Vilamalia | Vilamalia | WF | Sigave | Sigave | -14.2984 | -178.1563 | 0 | Pacific/Wallis | populated place | |
10632473 | Apaogo | Apaogo | WF | Uvea | Hahake | -13.27077 | -176.16591 | 0 | Pacific/Wallis | populated place | |
4034763 | Utufua | Utufua | WF | Uvea | -13.34261 | -176.19435 | 622 | Pacific/Wallis | populated place | ||
11881006 | Sa’avaka | Sa’avaka | WF | Alo | -14.3502 | -178.02841 | 0 | Pacific/Wallis | populated place | ||
10649227 | Golf de Ololiki | Golf de Ololiki | WF | Uvea | Hihifo | -13.25922 | -176.20562 | 0 | Pacific/Wallis | populated place | |
11880092 | Tamana | Tamana | WF | Alo | Alo | -14.28439 | -178.10431 | 0 | Pacific/Wallis | populated place | |
10632467 | Lavegahau | Lavegahau | WF | Uvea | -13.31367 | -176.18825 | 0 | Pacific/Wallis | populated place | ||
4034867 | Fineveke | Fineveke | WF | Uvea | -13.32624 | -176.2213 | 0 | Pacific/Wallis | populated place | ||
4034854 | Halamaitai | WF | Uvea | Hahake | -13.28184 | -176.19045 | 0 | Pacific/Wallis | populated place | ||
4034757 | Vailala | Vailala | WF | Uvea | -13.22173 | -176.20551 | 451 | Pacific/Wallis | populated place | ||
11880864 | Vaotea | Vaotea | WF | Alo | Alo | -14.31034 | -178.08439 | 0 | Pacific/Wallis | populated place | |
11880093 | Olu | Olu | WF | Alo | -14.27848 | -178.11151 | 0 | Pacific/Wallis | populated place | ||
10632358 | Polata | Polata | WF | Uvea | Hihifo | -13.22211 | -176.19661 | 0 | Pacific/Wallis | populated place | |
11880892 | Toloke | Toloke | WF | Sigave | -14.25349 | -178.18093 | 0 | Pacific/Wallis | populated place | ||
11880089 | Fakaki | Fakaki | WF | Alo | Alo | -14.29262 | -178.09573 | 0 | Pacific/Wallis | populated place | |
4034778 | Leava | Leava,Sigave,Sigavé,Singave | WF | Sigave | -14.29333 | -178.15833 | 480 | Pacific/Wallis | seat of a first-order administrative division | ||
11880072 | Fiua | Fiua | WF | Sigave | -14.27069 | -178.17378 | 0 | Pacific/Wallis | populated place | ||
4034753 | Vele | WF | Alo | -14.31021 | -178.06538 | 309 | Pacific/Wallis | populated place | |||
11880105 | Sisia | Sisia | WF | Alo | -14.30687 | -178.11367 | 0 | Pacific/Wallis | populated place | ||
11880066 | Kaleveleve | Kaleveleve | WF | Alo | Alo | -14.30817 | -178.13323 | 0 | Pacific/Wallis | populated place | |
4034872 | Falaleu | Falaleu | WF | Uvea | -13.29266 | -176.18328 | 626 | Pacific/Wallis | populated place | ||
10632460 | Mala’etoli | Mala’etoli | WF | Uvea | -13.31964 | -176.2289 | 0 | Pacific/Wallis | populated place | ||
11880106 | Kolopelu | Kolopelu | WF | Alo | Alo | -14.30902 | -178.11854 | 0 | Pacific/Wallis | populated place | |
11881004 | Sologa | Sologa | WF | Alo | Alo | -14.32449 | -178.04063 | 0 | Pacific/Wallis | populated place | |
11880937 | Laloua | Laloua | WF | Alo | -14.29941 | -178.08029 | 0 | Pacific/Wallis | populated place | ||
11880065 | Fuga Alo | Fuga Alo | WF | Alo | Alo | -14.30452 | -178.12422 | 0 | Pacific/Wallis | populated place | |
4034761 | Utuloa | WF | Uvea | Hahake | -13.26667 | -176.18333 | 0 | Pacific/Wallis | populated place | ||
10632334 | Afala | Afala | WF | Uvea | -13.26799 | -176.17921 | 0 | Pacific/Wallis | populated place | ||
4034815 | Mua | Alofitai,Mua | WF | Alo | Alo | -14.32632 | -178.05688 | 0 | Pacific/Wallis | populated place | |
4034821 | Mata-Utu | Mata Utu,Mata’utu,Mata-Outou,Mata-Utu,Matauto,Matautu,Matâutu,Matāʻutu,ma ta wu tu,mata-atw,mata-awtw,mata-utu,mata-xu tu,matautou,matautu,Μάτα-Ούτου,Мата-Уту,ماتا-اتو,ماتا-اوتو,மாதா-உது,มาตา-อูตู,მატა-უტუ,マタウトゥ,马塔乌图,마타우투 | WF | Uvea | -13.28163 | -176.17453 | 1200 | Pacific/Wallis | capital of a political entity | ||
10632472 | Kafika Tu’utahi | Kafika Tu’utahi | WF | Uvea | Hahake | -13.28231 | -176.19021 | 0 | Pacific/Wallis | populated place | |
10632437 | Lotoalahi | Lotoalahi | WF | Uvea | Mua | -13.34089 | -176.20857 | 0 | Pacific/Wallis | populated place | |
11880079 | Vaisei | Vaisei | WF | Sigave | -14.27772 | -178.17048 | 0 | Pacific/Wallis | populated place | ||
10632459 | Mala’efo’ou | Mala’efo’ou | WF | Uvea | -13.34544 | -176.2016 | 0 | Pacific/Wallis | populated place | ||
10632470 | Taumata | Taumata | WF | Uvea | Hahake | -13.29347 | -176.18599 | 0 | Pacific/Wallis | populated place | |
10632474 | Tekolo | Tekolo | WF | Uvea | Hihifo | -13.23061 | -176.19247 | 0 | Pacific/Wallis | populated place | |
11880097 | Kapau | Kapau | WF | Alo | Alo | -14.25598 | -178.14342 | 0 | Pacific/Wallis | populated place | |
4034888 | Ahoa | Ahoa | WF | Uvea | -13.28745 | -176.23803 | 495 | Pacific/Wallis | populated place | ||
10632436 | Tutu’ila | Tutu’ila | WF | Uvea | Mua | -13.34315 | -176.21751 | 0 | Pacific/Wallis | populated place | |
4034755 | Vaimalau | Vaimalau,Vaimatau | WF | Uvea | -13.31322 | -176.24167 | 0 | Pacific/Wallis | populated place | ||
11880938 | Ava | Ava | WF | Alo | -14.29661 | -178.08968 | 0 | Pacific/Wallis | populated place | ||
10632354 | Siaina | Siaina | WF | Uvea | Hihifo | -13.23144 | -176.18584 | 0 | Pacific/Wallis | populated place | |
4034766 | Tufuone | WF | Uvea | Hihifo | -13.22449 | -176.21088 | 240 | Pacific/Wallis | populated place | ||
4034845 | Kolia | WF | Alo | -14.30751 | -178.09683 | 437 | Pacific/Wallis | populated place | |||
10632471 | Havelu | Havelu | WF | Uvea | -13.28429 | -176.18298 | 0 | Pacific/Wallis | populated place | ||
10632438 | Ha’apai | Ha’apai | WF | Uvea | Mua | -13.34733 | -176.21172 | 0 | Pacific/Wallis | populated place | |
4034858 | Haafusia | WF | Uvea | Hahake | -13.30034 | -176.18362 | 426 | Pacific/Wallis | populated place | ||
4034770 | Teesi | Teesi,Teesse,Téessé | WF | Uvea | -13.35096 | -176.20585 | 284 | Pacific/Wallis | populated place | ||
4034860 | Gahi | Gahi | WF | Uvea | -13.33793 | -176.18774 | 280 | Pacific/Wallis | populated place | ||
10632475 | Ala | Ala | WF | Uvea | Hihifo | -13.24465 | -176.18024 | 0 | Pacific/Wallis | populated place | |
10632476 | Tukifatu | Tukifatu | WF | Uvea | Hihifo | -13.22775 | -176.18957 | 0 | Pacific/Wallis | populated place | |
11880862 | Aletafa | Aletafa | WF | Alo | Alo | -14.30784 | -178.08997 | 0 | Pacific/Wallis | populated place | |
4034772 | Tavai | Tauai,Tavai | WF | Sigave | -14.24495 | -178.16902 | 244 | Pacific/Wallis | populated place | ||
10632339 | Malelapa | Malelapa | WF | Uvea | Hihifo | -13.2353 | -176.18288 | 0 | Pacific/Wallis | populated place | |
11880094 | Fikavi | Fikavi | WF | Alo | Alo | -14.27124 | -178.12006 | 0 | Pacific/Wallis | populated place | |
4034859 | Gamua | WF | Uvea | Hihifo | -13.24855 | -176.17813 | 0 | Pacific/Wallis | populated place | ||
4034754 | Vaitupu | WF | Uvea | -13.227 | -176.18834 | 601 | Pacific/Wallis | populated place | |||
10632355 | Nefunefu | Nefunefu | WF | Uvea | Hihifo | -13.22924 | -176.18557 | 0 | Pacific/Wallis | populated place | |
4034887 | Akaka | WF | Uvea | Hahake | -13.27729 | -176.17066 | 589 | Pacific/Wallis | populated place | ||
11880064 | Taoa | Taoa | WF | Alo | -14.30871 | -178.12683 | 0 | Pacific/Wallis | populated place | ||
4034839 | Lano | WF | Alo | -13.25632 | -176.16792 | 0 | Pacific/Wallis | populated place | |||
11880901 | Tuatafa | Tuatafa | WF | Alo | -14.25467 | -178.1515 | 0 | Pacific/Wallis | populated place | ||
11880886 | Pito | Pito | WF | Sigave | Sigave | -14.26103 | -178.17769 | 0 | Pacific/Wallis | populated place | |
4034843 | Kolopopo | Kolopopo | WF | Uvea | -13.34703 | -176.21512 | 171 | Pacific/Wallis | populated place | ||
10632468 | Makeke | Makeke | WF | Uvea | Hahake | -13.30308 | -176.18898 | 0 | Pacific/Wallis | populated place | |
4034865 | Foi | WF | Sigave | -14.29445 | -178.09289 | 0 | Pacific/Wallis | populated place | |||
11880091 | Tufu’one | Tufu’one | WF | Alo | Alo | -14.28702 | -178.1024 | 0 | Pacific/Wallis | populated place | |
4034874 | Fakauita | WF | Uvea | Hihifo | -13.25 | -176.18333 | 0 | Pacific/Wallis | populated place | ||
11880100 | Pouma | Pouma | WF | Alo | Alo | -14.26209 | -178.13086 | 0 | Pacific/Wallis | populated place | |
11880917 | Nuku | Nuku | WF | Sigave | -14.29104 | -178.16536 | 0 | Pacific/Wallis | populated place | ||
10632136 | Fakapepe | Fakapepe | WF | Uvea | Hihifo | -13.22669 | -176.21218 | 0 | Pacific/Wallis | populated place | |
10632353 | Kaleva | Kaleva | WF | Uvea | Hihifo | -13.24234 | -176.1808 | 0 | Pacific/Wallis | populated place | |
10632357 | Suva | Suva | WF | Uvea | Hihifo | -13.22423 | -176.1915 | 0 | Pacific/Wallis | populated place | |
4034816 | Mua | Loto Mua,Mua | WF | Uvea | Mua | -13.34169 | -176.18701 | 0 | Pacific/Wallis | populated place | |
11880101 | Suma | Suma | WF | Alo | Alo | -14.26862 | -178.12335 | 0 | Pacific/Wallis | populated place | |
4034831 | Liku | WF | Uvea | -13.26852 | -176.16586 | 696 | Pacific/Wallis | populated place | |||
11880934 | Siku | Siku | WF | Alo | Alo | -14.31024 | -178.06529 | 0 | Pacific/Wallis | populated place | |
4034857 | Haatofo | WF | Uvea | -13.32807 | -176.19058 | 236 | Pacific/Wallis | populated place | |||
11880863 | Muli | Muli | WF | Alo | Alo | -14.31162 | -178.08227 | 0 | Pacific/Wallis | populated place | |
10632148 | Mala’e | Mala’e | WF | Alo | -13.24435 | -176.19346 | 0 | Pacific/Wallis | populated place | ||
11881005 | Keu | Keu | WF | Alo | Alo | -14.33546 | -178.06897 | 0 | Pacific/Wallis | populated place | |
4034886 | Alele | Alele | WF | Uvea | -13.24667 | -176.18341 | 629 | Pacific/Wallis | populated place | ||
10632356 | Fakavaka | Fakavaka | WF | Uvea | Hihifo | -13.22665 | -176.18674 | 0 | Pacific/Wallis | populated place | |
4034768 | Tepa | WF | Uvea | -13.32381 | -176.18826 | 244 | Pacific/Wallis | populated place | |||
11880099 | Afaga | Afaga | WF | Alo | Alo | -14.25939 | -178.13414 | 0 | Pacific/Wallis | populated place | |
11880916 | Sausau | Sausau | WF | Sigave | -14.28854 | -178.16746 | 0 | Pacific/Wallis | populated place | ||
11880084 | Luanuku | Luanuku | WF | Sigave | Sigave | -14.30138 | -178.15689 | 0 | Pacific/Wallis | populated place | |
11880098 | Ogea | Ogea | WF | Alo | Alo | -14.25683 | -178.14128 | 0 | Pacific/Wallis | populated place |
Discovering Wallis and Futuna: A Geographical Exploration
A Remote Yet Rich Landscape
Wallis and Futuna, a French overseas collectivity located in the South Pacific, is a territory composed of three main islands—Wallis, Futuna, and Alofi—along with several smaller islets. These islands, isolated from the major landmasses of the Pacific, are nestled between Fiji, Samoa, and Tonga. Despite its small size and relatively low population, Wallis and Futuna offers a unique geographic profile shaped by volcanic islands, coral reefs, and vast stretches of ocean.
The islands are divided into two main groups: the Wallis Islands and the Futuna Islands. Wallis Island, the largest of the three, is characterized by a large central lagoon and volcanic hills, while Futuna Island is more mountainous and is known for its rugged terrain. The landscape of these islands not only offers stunning natural beauty but also plays a significant role in the daily life and culture of the people who inhabit them.
The isolation of Wallis and Futuna has shaped its environment, from its climate to its flora and fauna. With a tropical maritime climate, the territory experiences warm temperatures throughout the year, with a distinct wet season. This geographical setting provides fertile soil for agriculture, which remains a vital part of the local economy alongside fishing and tourism.
The Administrative Divisions of Wallis and Futuna
Wallis and Futuna is divided into three traditional chiefdoms: Uvea (Wallis), Sigave (Futuna), and the smaller Alofi. These chiefdoms represent the cultural and administrative divisions of the territory, with each area having its own local leadership and traditional governance structures. Uvea, or Wallis Island, is the largest and most populous, while Futuna, which includes the island of the same name and the smaller Alofi Island, has a more dispersed population.
The administrative structure of Wallis and Futuna is influenced by its historical and cultural context. The French government oversees the territory, and it is represented by a High Commissioner, but the traditional chiefdoms continue to play an important role in the local governance and decision-making process. Understanding these divisions is key to understanding how the territory operates both culturally and politically.
Each chiefdom is also subdivided into smaller districts, which include towns and villages. These settlements, though small, are the centers of social, economic, and cultural life in Wallis and Futuna. Given the relatively small population of the territory, these urban areas are tightly knit and play a crucial role in maintaining the traditions and customs of the islands.
Geographic Data: The Key to Understanding Wallis and Futuna
To fully understand the geography of Wallis and Futuna, it’s essential to gather data on its cities, regions, and departments, including precise geographic coordinates such as latitude and longitude. This geographic data helps to visualize the spatial layout of the territory and provides a clearer picture of the relationships between its various islands and settlements.
For instance, knowing the latitude and longitude of the main towns and villages, such as Mata Utu in Wallis, which serves as the capital, or the smaller villages scattered across the islands, allows for a deeper understanding of the distribution of population, resources, and infrastructure across Wallis and Futuna. Geographic data also plays a critical role in logistics, enabling better planning for transport, tourism, and resource management.
Given the isolated nature of these islands, geographic data is vital for understanding how communities are connected and how goods and services move across the islands. The proximity of towns to harbors, airports, and essential natural resources influences how the people of Wallis and Futuna interact with one another and with the outside world.
The Role of Latitude and Longitude in Planning and Development
Latitude and longitude data are crucial for a variety of applications, especially in a region like Wallis and Futuna where geographical challenges and limited infrastructure are key concerns. Accurate coordinates allow for better planning of transportation routes, whether by sea or air, and can help optimize the use of natural resources, such as agricultural land and fishing areas.
For example, knowing the exact geographic position of the capital, Mata Utu, enables planners to assess how it connects to other towns and regions in Wallis and Futuna, facilitating the development of transportation infrastructure. Similarly, geographic data on Futuna Island’s villages and surrounding waters can inform sustainable development practices, ensuring that the islands’ resources are managed wisely and equitably.
Geographic data also plays an important role in environmental management, particularly in regions like Wallis and Futuna, where natural resources like coral reefs, forests, and marine ecosystems are vital to the economy and way of life. Accurate data helps monitor the health of these ecosystems and provides a foundation for sustainable conservation efforts.
Unlocking the Potential of Geographic Data for Wallis and Futuna
Access to geographic data on Wallis and Futuna’s cities, towns, and regions is essential for anyone seeking to understand the islands’ unique challenges and opportunities. By obtaining precise geographic coordinates, such as latitude and longitude, researchers, businesses, and policymakers can enhance their understanding of the area’s geography, contributing to more informed decisions on development, infrastructure, and resource management.
Our platform offers comprehensive geographic data for Wallis and Futuna, providing accurate and detailed information about the location of each city, village, and key landmark. This data empowers users to explore the territory’s geography in a way that was not previously possible, uncovering insights into urbanization, population distribution, and regional development.
With access to such detailed geographic data, users can make informed decisions regarding transportation, urban planning, natural resource management, and even tourism. The insights gained from this data help identify the most strategic areas for investment and development while also considering the preservation of the islands’ rich cultural heritage and natural environment.
A Comprehensive Database for Wallis and Futuna’s Future Growth
As Wallis and Futuna continues to grow and modernize, geographic data will be vital in supporting sustainable development. Our platform offers a robust database that includes precise latitude and longitude information for all key areas of the territory, enabling detailed analysis and planning.
From small villages in Futuna to the larger townships of Uvea, this data serves as a foundation for strategic planning, resource management, and conservation efforts. With accurate geographic data, you can better understand how the islands’ diverse environments and communities interact and plan for a future that balances modernization with respect for local traditions and ecosystems.
Conclusion: Shaping the Future of Wallis and Futuna with Geographic Data
The islands of Wallis and Futuna, though small and isolated, offer a unique geographical and cultural landscape. By leveraging detailed geographic data, we can gain a deeper understanding of how these islands function and how they can continue to develop sustainably. Whether for urban planning, resource management, or tourism, accurate geographic coordinates play a critical role in shaping the future of Wallis and Futuna.
Our platform’s comprehensive database of geographic data provides the tools necessary to explore the islands in greater detail, facilitating informed decisions that will contribute to the ongoing growth and prosperity of this remarkable territory. With precise data at your fingertips, Wallis and Futuna’s geographical potential can be fully realized, ensuring a sustainable future for its people and environment.
FaQ about Wallis and Futuna
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.