Palau cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 20 January 2025.
Below is a list of 100 prominent cities in Palau. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 76 places in Palau that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in .csv, .json, .xml and .sql formats. Notable Cities: The capital of Palau is Ngerulmud.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
7671223 | Kloulklubed | PW | Peleliu | 7.04192 | 134.25561 | 3 | 702 | Pacific/Palau | seat of a first-order administrative division | ||
4038109 | Ngersung Hamlet | Garasuun,Garusuun,Ngarsung,Ngorsum | PW | Airai | 7.35412 | 134.53576 | 13 | 0 | Pacific/Palau | populated place | |
1559820 | Ngereklmadel | Madarabae,Madarabaye,Ngedbang | PW | Ngatpang | 7.48826 | 134.48562 | 15 | 0 | Pacific/Palau | seat of a first-order administrative division | |
4038140 | Ngerusar Hamlet | Garasuun,Garusal,Garusaru,Garusuru,Ngarsung,Ngorsum,Ngursar,Ngurusar | PW | Airai | 7.35987 | 134.52965 | 5 | 0 | Pacific/Palau | populated place | |
1559419 | Oikull Hamlet | Goikul,Koiguru,Koygul,Oigul,Oikull | PW | Airai | 7.37192 | 134.58773 | 0 | Pacific/Palau | populated place | ||
1559847 | Iyebukel Hamlet | Aebukuru,Aiebukl,Ayebukuru,Doro Island,Iyebukel | PW | Koror | 7.34929 | 134.48594 | 10 | 0 | Pacific/Palau | populated place | |
4037733 | Chol Hamlet | A Gol,Acholl,Agol,Akoru,Akuro,Choll,Gol,Roll | PW | Ngaraard | 7.67063 | 134.63587 | 15 | 0 | Pacific/Palau | populated place | |
7670861 | Pulo Anna Village | Puro Village | PW | Sonsorol | 4.65404 | 131.94901 | 0 | Pacific/Palau | populated place | ||
1559728 | Ngerbodel Hamlet | Arubodoru,Nerubodoru,Ngarbagedesau,Ngerbodel | PW | Koror | 7.35 | 134.4939 | 4 | 0 | Pacific/Palau | populated place | |
1559484 | Idid Hamlet | PW | Koror | 7.34299 | 134.48373 | 10 | 0 | Pacific/Palau | populated place | ||
1559914 | Chelab Hamlet | Achelap,Aiokako-suido,Aiokako-suidō,Akalak,Akarappu,Chelab,Elab,Gabokkudo,Galap,Garurudo,Gaysan,Geysan,Ralap,Rallap,Yalap | PW | Ngaraard | 7.63575 | 134.63885 | 0 | Pacific/Palau | populated place | ||
1559480 | Ngchemiangel Hamlet | Emieangl,Gamliangel,Kamiyangaru,Kamiyangaur,Komliangl,Ngchemiangel | PW | Aimeliik | 7.446 | 134.47596 | 10 | 0 | Pacific/Palau | populated place | |
1559785 | Angaur | Delutaog,Jimusho,Ngaramash,Saipan,Saipan Town,Saipon,Sipon,Yubinkyoku | PW | Angaur | 6.90331 | 134.13133 | 5 | 320 | Pacific/Palau | populated place | |
1559674 | Elechui Hamlet | Chelechui | PW | Aimeliik | 7.43161 | 134.47997 | 20 | 0 | Pacific/Palau | populated place | |
1559645 | Ngeruikl Hamlet | Galauekkel,Ngarevikl,Ngeruiki,Ngeruikl,Ngeruwikl | PW | Ngchesar | 7.48362 | 134.61664 | 5 | 0 | Pacific/Palau | populated place | |
4038282 | Angaur State | Ngeaur | PW | Angaur | 6.90601 | 134.12997 | 0 | 188 | Pacific/Palau | seat of a first-order administrative division | |
1559703 | Ngerekebesang Hamlet | Arakabesan,Ngerekebesang | PW | Koror | 7.35444 | 134.44648 | 8 | 0 | Pacific/Palau | populated place | |
4038144 | Ngesang | PW | Ngaraard | 7.62695 | 134.64373 | 2 | 0 | Pacific/Palau | populated place | ||
7701544 | Ordomel Hamlet | PW | Airai | 7.38111 | 134.5552 | 8 | 0 | Pacific/Palau | populated place | ||
4038174 | Ngkeklau Hamlet | Angkaluau,Geklau,Kaklau,Kakurao,Kaslau,Keklau,Kekurao,Ngekeklau,Ngerkeklau,Ngkekau | PW | Ngaraard | 7.59296 | 134.6402 | 3 | 0 | Pacific/Palau | populated place | |
7670816 | Sonsorol Village | Dongosaro,Sonsorol | PW | Sonsorol | 5.32608 | 132.21943 | 30 | Pacific/Palau | seat of a first-order administrative division | ||
1559864 | Imeong Hamlet | A Imeungs,Aimeong,Aimion,Imeiong,Imeong | PW | Ngaremlengui | 7.53134 | 134.52713 | 3 | 132 | Pacific/Palau | seat of a first-order administrative division | |
1559812 | Medorm Hamlet | Admodhorom,Amodhorom,Medorm,Medorom,Mudorom,Mudurom | PW | Aimeliik | 7.4565 | 134.47901 | 20 | 0 | Pacific/Palau | populated place | |
1559732 | Ngerbau Hamlet | Aracalong,Delebog,Galapao,Ngarabau,Ngarbau,Ngerbau,Pkulrengereiong Point,Pkulrengerelong | PW | Ngarchelong | 7.70291 | 134.64106 | 15 | 0 | Pacific/Palau | populated place | |
4038084 | Ngerkeseuaol Hamlet | Aiekasaol,Aiekasol,Arakasoaol,Atekasabra,Atekasabru,Atekasaoru,Kesaiaol,Kesauaol,Ngarakassoul,Ngarekesauaol,Ngerkeseoul,Ngerkesewaol | PW | Koror | 7.34301 | 134.48949 | 40 | 0 | Pacific/Palau | populated place | |
1559617 | Ngriil Hamlet | Chiyou,Ngriel,Ngriil,Ngril | PW | Ngarchelong | 7.69032 | 134.63609 | 35 | 0 | Pacific/Palau | populated place | |
4037770 | Elauesachel Hamlet | PW | Aimeliik | 7.45743 | 134.50616 | 30 | 0 | Pacific/Palau | populated place | ||
4038316 | Ngardmau Village | PW | Ngardmau | 7.60988 | 134.57418 | 6 | 0 | Pacific/Palau | populated place | ||
4036778 | Ngchesar Hamlet | Alakasoho,Arakaso,Enchesar,Engkasar,Enkasar,Enkassar,Galaus,Ngesar,Nggesar,Nggessar,Ngurutoi | PW | Ngchesar | 7.46932 | 134.60991 | 7 | 300 | Pacific/Palau | seat of a first-order administrative division | |
1559444 | Echang Hamlet | Eang,Sonsorol Islanders Village,Tobi Islanders Village | PW | Koror | 7.34661 | 134.45289 | 20 | 0 | Pacific/Palau | populated place | |
1559720 | Ngerkeai | Ngermechau,Ngiwal,Ogiwal,Ogiwaru | PW | Ngiwal | 7.55458 | 134.63582 | 3 | 0 | Pacific/Palau | populated place | |
7732297 | Ngardmau | PW | Ngardmau | 7.60986 | 134.5744 | 6 | 221 | Pacific/Palau | seat of a first-order administrative division | ||
1559338 | Iebukel Hamlet | Jebukol | PW | Ngarchelong | 7.70006 | 134.64097 | 15 | 0 | Pacific/Palau | populated place | |
4038014 | Ngerkeai | Karaeru,Ngaragoluuk,Ngaregeluj,Ngerecheluk,Ngermechau,Ngiwal,Ogiwal,Ogiwaru | PW | Ngiwal | 7.55456 | 134.63612 | 3 | 223 | Pacific/Palau | seat of a first-order administrative division | |
1559890 | Eimelik Hamlet | PW | Aimeliik | 7.3973 | 134.51034 | 0 | Pacific/Palau | populated place | |||
4038170 | Mengellang | Kayungur,Ngeiungel,Ononguru | PW | Ngarchelong | 7.6957 | 134.63054 | 53 | 488 | Pacific/Palau | seat of a first-order administrative division | |
1559755 | Ngeburch Hamlet | Gabulko,Galbuko,Ngaburok,Ngeburch,Ngebureg,Ololian,Ororian,a Ipelau | PW | Melekeok | 7.50762 | 134.62932 | 3 | 0 | Pacific/Palau | populated place | |
4037823 | Imelechol Hamlet | A Imelogel,Babelthuap Village,Emeleol,Imeleol | PW | Peleliu | 7.03966 | 134.2656 | 3 | 0 | Pacific/Palau | populated place | |
7670994 | Kayangel | PW | Kayangel | 8.08228 | 134.71725 | 188 | Pacific/Palau | seat of a first-order administrative division | |||
1559475 | Ngermelech Hamlet | Galumuleaka,Garumureaka,Ngeremeleg,Ngermelech | PW | Melekeok | 7.49966 | 134.6347 | 3 | 0 | Pacific/Palau | populated place | |
7732415 | Koror Town | Little Tokyo | PW | Koror | 7.34257 | 134.47888 | 12676 | Pacific/Palau | populated place | ||
1559543 | Ulimang | A Ulimang,Galap,Uliman | PW | Ngaraard | 7.62416 | 134.64208 | 581 | Pacific/Palau | seat of a first-order administrative division | ||
4037805 | Ngerubesang Hamlet | PW | Melekeok | 7.48969 | 134.63093 | 3 | 0 | Pacific/Palau | populated place | ||
7732314 | Ngeremecheluch Hamlet | PW | Melekeok | 7.49199 | 134.63596 | 4 | 0 | Pacific/Palau | populated place | ||
1559482 | Echol Hamlet | Chechol,Echol,Eeyahoru,Eeyakoru,Eholl,Euakor,Gegol | PW | Koror | 7.35133 | 134.44693 | 6 | 0 | Pacific/Palau | populated place | |
7701549 | Ngetkib | PW | Airai | 7.36451 | 134.51484 | 62 | Pacific/Palau | seat of a first-order administrative division | |||
1559513 | Ngerchemai Hamlet | Aragamae,Aragamaye,Arekamae,Ngarchemai,Ngaregamai,Ngarekamais,Ngerchemai,Ngerechemai | PW | Koror | 7.35 | 134.4889 | 6 | 0 | Pacific/Palau | populated place | |
1559962 | Airai Hamlet | A Irai,Airrai,Irrai | PW | Airai | 7.35985 | 134.55946 | 15 | 0 | Pacific/Palau | populated place | |
4038130 | Ngeruling Hamlet | PW | Melekeok | 7.50535 | 134.63249 | 4 | 0 | Pacific/Palau | populated place | ||
8063361 | Ngerulmud | Ngerulmud,eung-gelulmudeu,Нгерулмуд,응게룰무드 | PW | Melekeok | 7.50077 | 134.6238 | 0 | Pacific/Palau | capital of a political entity | ||
1559353 | Tngeronger Hamlet | Dngeronger,Ngargersiul | PW | Koror | 7.34449 | 134.47912 | 5 | 0 | Pacific/Palau | populated place | |
1559400 | Ngerbeched Hamlet | Arabaketsu,Arubaketsu,Neustadt,Ngarbaged,Ngarbaged-rengul,Ngarbeched,Ngerbeched | PW | Koror | 7.33249 | 134.47623 | 10 | 0 | Pacific/Palau | populated place | |
7701398 | Ngebuked Hamlet | PW | Ngaraard | 7.64191 | 134.63049 | 0 | Pacific/Palau | populated place | |||
11776437 | Koska | PW | 7.03526 | 134.25199 | 0 | Pacific/Palau | populated place | ||||
1559673 | Ngermetengel Hamlet | Almonogui,Arumonogui,Ngaremetengel,Ngeremlengui,Ngermetengel | PW | Ngaremlengui | 7.52253 | 134.50268 | 3 | 0 | Pacific/Palau | populated place | |
1559362 | Ngchesechang Hamlet | Amarakarakkuru,Aramarakarakkuru,Aramarakarakuru,Gasakan,Gaskan,Ngaragebukl,Ngasachang,Ngchesechang,Nggasagang,Nghesehang | PW | Airai | 7.38472 | 134.58027 | 0 | Pacific/Palau | populated place | ||
1559797 | Meyungs Hamlet | Amiyonsu,Meiungs,Meungs,Meyungs,a Meungs | PW | Koror | 7.35381 | 134.45963 | 8 | 0 | Pacific/Palau | populated place | |
1559654 | Ngeruluobel Hamlet | Garuruon,Ngeruluobel | PW | Airai | 7.36448 | 134.52412 | 6 | 0 | Pacific/Palau | populated place | |
1559446 | Koror | Goreor,Goror,Koreor,Koror,Koror City,Koror town,Koror village,Kororu,Korōru,ROR,kololeu,kololeu ju,코로르,코로르 주 | PW | Koror | 7.33978 | 134.47326 | 20 | 14000 | Pacific/Palau | seat of a first-order administrative division | |
4037993 | Ngebei Hamlet | Gabel,Ngabei,Ngabeul,Ngabiul,Ngabygul | PW | Ngarchelong | 7.69887 | 134.63672 | 25 | 0 | Pacific/Palau | populated place | |
1559670 | Ngerngesang Hamlet | Gaiakasan,Garakasan,Ngarakesou,Ngarakosou,Ngargeso,Ngerngesang | PW | Ngchesar | 7.45304 | 134.60375 | 0 | Pacific/Palau | populated place | ||
7732276 | Ngchemiangel | PW | Aimeliik | 7.44613 | 134.47678 | 10 | 270 | Pacific/Palau | seat of a first-order administrative division | ||
4038107 | Ngersuul Hamlet | Garashiyoo,Garasho,Karasho,Ngarsul,Ngorsul | PW | Ngchesar | 7.43479 | 134.59495 | 4 | 0 | Pacific/Palau | populated place | |
7732825 | Ngeraus Hamlet | PW | Ngchesar | 7.47667 | 134.61346 | 0 | Pacific/Palau | populated place | |||
1559351 | Kloulklubed Hamlet | Kloulklubed - US post-WW2 built | PW | Peleliu | 7.04193 | 134.25549 | 3 | 0 | Pacific/Palau | populated place | |
1559350 | Ngermid Hamlet | Armid,Arumizu,Arumuzu,Ngarmid,Ngermid | PW | Koror | 7.33983 | 134.50163 | 20 | 0 | Pacific/Palau | populated place | |
1559534 | Ngetkib Hamlet | Aakip,Adkip,Atkiip,Atkiíp,Gadkip,Gakip,Gakkibu,Gatkip,Itkib,Ngatkip,Ngetgip,Ngetkib,Ngetkip,Ngtkip,Ngtkíp | PW | Airai | 7.36438 | 134.51439 | 20 | 0 | Pacific/Palau | populated place | |
4038053 | Ngereklmadel | Mechebechubl,Mehebehubl,New Ngatbang,Ngatbang,Ngerklamad | PW | Ngatpang | 7.48822 | 134.4848 | 15 | 0 | Pacific/Palau | populated place | |
7670730 | Tobi Village | Hatohobei | PW | Hatohobei | 3.00488 | 131.12168 | 44 | Pacific/Palau | seat of a first-order administrative division | ||
1559635 | Ertong Hamlet | PW | Melekeok | 7.50442 | 134.6148 | 0 | Pacific/Palau | populated place | |||
1559804 | Melekeok Village | Artingall,Athermal,Athernal,Coaengal,Malligoyoke,Marukiyoku,Melekeiok,Melekejok,Melekiok,Melekyok,Meligeok,Mgadernal,Molegojok,Molegoyok,Ngadernal | PW | Melekeok | 7.49567 | 134.63671 | 3 | 271 | Pacific/Palau | seat of a first-order administrative division | |
1559604 | Chollei Hamlet | Golei,Konlei,Konrei,Olei,Ollei | PW | Ngarchelong | 7.71985 | 134.61414 | 20 | 0 | Pacific/Palau | populated place | |
4038080 | Ngerkesou Hamlet | Gaiakasan,Garakasan,Ngarakesou,Ngarakosou,Ngargeso | PW | Ngchesar | 7.46363 | 134.60478 | 0 | 0 | Pacific/Palau | populated place | |
1559488 | Ngerkeai Hamlet | Galegui,Garadai,Garikiai,Goleguy,Karikari,Karikiai,Nagarekeai,Ngarekai,Ngarekeai,Ngergeai,Ngerkeai,Ngerkeyai | PW | Aimeliik | 7.42072 | 134.49786 | 20 | 0 | Pacific/Palau | populated place | |
4038353 | Yelch - New Village | PW | Airai | 7.36051 | 134.5457 | 45 | 0 | Pacific/Palau | populated place | ||
1559694 | Meketii Hamlet | Meketii,Minatohang | PW | Koror | 7.34708 | 134.48299 | 4 | 0 | Pacific/Palau | populated place |
**Exploring Palau: Unveiling the Charms of the Pacific Gem**
Introduction**
Nestled in the western Pacific Ocean, Palau stands as a testament to natural beauty and cultural richness. As a geographer, delving into the intricacies of this island nation unveils a tapestry of diverse landscapes, vibrant communities, and unique ecosystems. In this article, we embark on a journey to obtain data on the cities, regions, and geographical coordinates of Palau, shedding light on its geographical wonders and cultural heritage.
Mapping the Regions and Departments**
Palau, comprising over 340 islands, is divided into sixteen states, each characterized by its own distinct geography and cultural identity. From the lush rainforests of Koror to the pristine coral reefs of Peleliu, each state offers a glimpse into the natural splendor of the archipelago. Mapping these regions provides valuable insights into Palau's ecological diversity, geological formations, and traditional land use practices.
Exploring Urban Centers and Rural Settlements**
While Palau's urban centers are relatively small in size, they serve as important hubs of commerce, governance, and cultural exchange. Koror, the largest city and commercial capital, is home to government offices, businesses, and educational institutions. Outside of urban centers, rural settlements dot the landscape, preserving traditional ways of life and close connections to the land and sea. By exploring these urban and rural areas, geographers can better understand the spatial dynamics of Palau's population distribution and economic activities.
Obtaining Latitude and Longitude Data**
Acquiring accurate geographical coordinates for Palau's cities and villages is essential for spatial analysis, infrastructure planning, and disaster management. By obtaining latitude and longitude data for each locality, geographers can contribute to mapping efforts, resource allocation strategies, and environmental conservation initiatives. From the bustling streets of Koror to the remote islands of Kayangel, accurate geospatial information enables better decision-making and sustainable development practices.
Preserving Cultural Heritage and Environmental Sustainability**
Preserving Palau's cultural heritage and environmental sustainability is paramount to ensuring the well-being of its people and the integrity of its ecosystems. Traditional ecological knowledge, passed down through generations, plays a crucial role in resource management, conservation efforts, and community resilience. By engaging with local communities and indigenous leaders, geographers can support initiatives aimed at protecting sacred sites, preserving cultural practices, and promoting sustainable livelihoods.
Conclusion**
In conclusion, exploring Palau from a geographical perspective reveals a land of unparalleled beauty, cultural diversity, and environmental significance. By obtaining data on its regions, urban centers, and geographical coordinates, we gain valuable insights into the dynamics of this Pacific island nation and the interconnectedness of its natural and cultural landscapes. Let us continue to explore, study, and protect Palau, honoring its rich heritage and fostering a sustainable future for generations to come.
Download data files for Palau's cities in CSV, SQL, XML and JSON formats
Exploring the Geography of Palau: A Geographer’s Insight into Cities and Regions
Palau, a small island nation located in the western Pacific Ocean, is known for its stunning coral reefs, crystal-clear waters, and rich biodiversity. While geographically isolated, Palau holds a strategic position in terms of ecological conservation, cultural heritage, and environmental sustainability. For geographers, understanding the spatial organization of Palau’s cities, regions, and departments is key to assessing how human settlements interact with the natural environment, as well as to planning for sustainable development and resource management. The availability of geographic data about these regions, including precise city locations, infrastructure, and population data, is essential for informed decision-making at the governmental and research levels.
The Administrative and Geographic Divisions of Palau
Palau is composed of over 300 islands, with the main islands divided into 16 states, each with its own government. The states include Koror, where the nation’s capital is located, and other states such as Babeldaob, the largest island, and smaller, more remote states like Peleliu and Angaur. Koror, being the primary urban hub, hosts the majority of the population and the central economic activities, while the other states vary in terms of population, development, and access to resources.
Geographically, Palau offers a combination of mountainous landscapes, lush rainforests, and coastal regions with vibrant coral reefs. The nation’s economy and way of life are largely dependent on its natural resources, particularly fishing and tourism, and understanding how the urban centers are distributed across these islands is crucial for future planning. For instance, mapping the geographic distribution of Palau’s cities and towns can offer insights into regional disparities, resource allocation, and infrastructure needs.
Latitude and Longitude: Mapping Palau’s Cities
Latitude and longitude coordinates are vital for accurately mapping the cities, states, and regions of Palau. The precise location of each settlement, from the capital in Koror to the more remote states, can help geographers analyze the spatial relationships between urban areas and the surrounding natural environment.
For example, knowing the latitude and longitude of Koror enables researchers to examine its proximity to the country’s major port facilities, airports, and infrastructure networks. Similarly, identifying the geographic coordinates of Palau’s more rural regions can shed light on the challenges faced by these areas in terms of access to services, connectivity, and resource distribution. Latitude and longitude data also support disaster management, particularly in a country vulnerable to tropical storms and other natural hazards, by helping to plan for emergency responses and identify at-risk areas.
By having geographic coordinates for each of the major cities and towns, urban planners and environmentalists can create detailed maps that show the relationship between urban growth and environmental factors like coastal erosion, deforestation, or land degradation. These maps can then be used to inform policies that balance development with environmental protection.
The Importance of Accessible Geographic Data Formats
For geographic data to be effectively utilized, it must be available in formats that accommodate different research methods, analysis tools, and decision-making systems. Offering geographic data for Palau’s cities, regions, and departments in formats like CSV, SQL, JSON, and XML ensures that the data can be easily integrated into a variety of platforms, ranging from GIS applications to web-based interactive maps.
- **CSV (Comma-Separated Values):** CSV files are simple and efficient for organizing geographic data in a tabular format. By storing city names, geographic coordinates, population figures, and other key metrics in CSV files, users can easily import and analyze this data in spreadsheet software or mapping tools. This format is particularly useful for quick data visualization or initial analysis.
- **SQL (Structured Query Language):** SQL is ideal for working with large datasets stored in relational databases. Researchers can use SQL to query geographic data and track trends, such as urban expansion or changes in infrastructure over time. SQL is especially useful for spatial analysis and managing complex datasets, making it an invaluable tool for examining Palau’s regions in relation to factors like population growth, resource distribution, and environmental impact.
- **JSON (JavaScript Object Notation):** JSON is widely used for web-based applications and dynamic data systems. By offering geographic data in JSON format, developers can create interactive tools, such as online maps or real-time location-based services, that allow users to explore Palau’s geography. JSON is flexible and allows for quick updates, making it ideal for applications that require real-time data display.
- **XML (Extensible Markup Language):** XML is highly adaptable and ideal for organizing and exchanging structured geographic data. XML’s hierarchical nature is perfect for storing detailed information about administrative boundaries, infrastructure networks, and environmental factors. It allows the data to be shared and used across different platforms, ensuring seamless integration with GIS systems or governmental data repositories.
Providing geographic data in these formats ensures that Palau’s data can be easily accessed, analyzed, and applied by users from various sectors, including research, urban planning, environmental management, and public policy.
A Comprehensive Database for Palau’s Geography
To fully understand the geography of Palau, access to a detailed and organized database of the country’s cities, regions, and departments is essential. This database should include data on each of Palau’s urban and rural centers, along with their latitude and longitude coordinates, population figures, and infrastructure details. Such a database would serve as a powerful tool for geographers, urban planners, and policymakers, offering insights into how the country’s geography shapes its development.
For example, comparing data from Koror, where the country’s infrastructure and economic activities are concentrated, with data from more remote regions like Babeldaob or Peleliu can provide valuable insights into how urbanization affects resource use, access to services, and environmental pressures. This comparison can also highlight regional disparities in terms of infrastructure availability, healthcare access, and educational opportunities, which are crucial for developing policies aimed at sustainable development and resource management.
Offering the data in formats such as CSV, SQL, JSON, and XML ensures that it can be easily incorporated into GIS software, web applications, or mobile platforms, allowing for interactive and real-time analysis. Researchers can use this data to track changes in urbanization, infrastructure growth, and environmental impact over time, while policymakers can leverage it to make more informed decisions about the country’s future development.
Conclusion
Palau’s unique geography, characterized by its isolated islands, coastal areas, and diverse ecosystems, presents both challenges and opportunities for urban planning, environmental management, and resource allocation. Obtaining accurate geographic data on the cities, regions, and departments—including their latitude and longitude coordinates—is crucial for understanding how the country’s geography shapes its urbanization and development patterns. By offering this data in flexible formats such as CSV, SQL, JSON, and XML, it becomes accessible and adaptable for a wide range of applications, from urban planning and infrastructure development to environmental monitoring and policy-making. This data-driven approach ensures that the future of Palau can be guided by sustainable practices that protect its natural beauty and resources, while fostering balanced and inclusive development.