Micronesia cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Micronesia. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 411 places in Micronesia 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 Micronesia is Palikir - National Government Center.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
7627585 | Namoluk Village | FM | Chuuk | Namoluk Municipality | 5.92197 | 153.11889 | 407 | Pacific/Chuuk | populated place | ||
4045362 | Pieis | FM | Chuuk | Fefen Municipality | 7.36225 | 151.8391 | 3 | 0 | Pacific/Chuuk | populated place | |
4037517 | Tawoowaay | Toovai,Tououay,Touway,Towai,Towoway | FM | Yap | Gilman Municipality | 9.44721 | 138.05824 | 4 | 0 | Pacific/Chuuk | populated place |
1558573 | Yin | Jin,Yn,Yuin,Yyin | FM | Yap | Fanif Municipality | 9.58297 | 138.11764 | 5 | 0 | Pacific/Chuuk | populated place |
4043034 | Kolonia | Colonia,Colony,Colony Koronia,Colony Town,Kolonia,Kolonie,Koroni,Koronie,Koronii,Mesieng,Ponape,Ponape Town | FM | Pohnpei | Kolonia Municipality | 6.964 | 158.2062 | 0 | 6074 | Pacific/Pohnpei | seat of a first-order administrative division |
4043157 | Feini | Fein,Feyin | FM | Chuuk | Fefen Municipality | 7.34607 | 151.83006 | 3 | 0 | Pacific/Chuuk | populated place |
7646746 | Woleai Village | FM | Yap | Woleai Municipality | 7.37042 | 143.90434 | 0 | Pacific/Chuuk | populated place | ||
4037070 | Gitaem | Gitam | FM | Yap | Rull Municipality | 9.50635 | 138.10548 | 15 | 0 | Pacific/Chuuk | populated place |
2081469 | Saporanong | Soborelong | FM | Chuuk | Fefen Municipality | 7.34019 | 151.8388 | 3 | 0 | Pacific/Chuuk | populated place |
4042478 | Wiya | FM | Kosrae | Tafunsak Municipality | 5.36939 | 162.99825 | 4 | 0 | Pacific/Kosrae | populated place | |
4041849 | Roie | Solete | FM | Pohnpei | Sokehs Municipality | 6.9699 | 158.17746 | 7 | 0 | Pacific/Pohnpei | populated place |
4044595 | Luhke | FM | Pohnpei | U Municipality | 6.9551 | 158.24545 | 5 | 0 | Pacific/Pohnpei | populated place | |
4037147 | Luweech | Luech,Luedj,Lueis,Luetj,Luwech,Rueisisu,Rueisu | FM | Yap | Rull Municipality | 9.48686 | 138.0828 | 10 | 0 | Pacific/Chuuk | populated place |
4042174 | Tomwara | Tamwara,Tomara,Tomora | FM | Pohnpei | Nett Municipality | 6.96153 | 158.2375 | 4 | 0 | Pacific/Pohnpei | populated place |
1558671 | Thool | Thol,Zol | FM | Yap | Tomil Municipality | 9.53583 | 138.16818 | 10 | 0 | Pacific/Chuuk | populated place |
4044720 | Peniamwan | FM | Chuuk | Fanapanges Municipality | 7.34678 | 151.668 | 40 | 0 | Pacific/Chuuk | populated place | |
1558773 | Riy - temp LL | Ri,Rij | FM | Yap | Rumung Municipality | 9.63079 | 138.16011 | 0 | Pacific/Chuuk | populated place | |
4042209 | Utwe Village | Utwe Ma | FM | Kosrae | Utwe Municipality | 5.27486 | 162.97662 | 5 | 0 | Pacific/Kosrae | populated place |
2081471 | Saponong | Sapotiu | FM | Chuuk | Tonoas Municipality | 7.37289 | 151.88294 | 10 | 0 | Pacific/Chuuk | populated place |
7626849 | Kapingamarangi Village | Kapinga | FM | Pohnpei | Kapingamarangi Municipality | 1.07861 | 154.80758 | 474 | Pacific/Pohnpei | populated place | |
7646753 | Wottegai | FM | Yap | Woleai Municipality | 7.37166 | 143.83773 | 0 | Pacific/Chuuk | populated place | ||
2082337 | Alohkapw | Alokap,Arokappu | FM | Pohnpei | Madolenihm Municipality | 6.91837 | 158.28917 | 5 | 0 | Pacific/Pohnpei | populated place |
7644932 | Nomwin Village | FM | Chuuk | Nomwin Municipality | 8.43269 | 151.74628 | 711 | Pacific/Chuuk | populated place | ||
1558880 | Nimaar | Nimar | FM | Yap | Weloy Municipality | 9.51936 | 138.11976 | 0 | Pacific/Chuuk | populated place | |
7645727 | Lamotrek Village | FM | Yap | Lamotrek Municipality | 7.45758 | 146.37841 | 339 | Pacific/Chuuk | populated place | ||
4044170 | Amachang | Amadjang,Amatang,Amwachang,Unun En Amachang | FM | Chuuk | Tolensom Municipality | 7.35355 | 151.6364 | 5 | 0 | Pacific/Chuuk | populated place |
7647073 | Mogmog | Mwagmwog | FM | Yap | Ulithi Municipality | 10.08685 | 139.70852 | 0 | Pacific/Chuuk | populated place | |
1559057 | Kadaay | Kaday | FM | Yap | Weloy Municipality | 9.53672 | 138.0872 | 3 | 0 | Pacific/Chuuk | populated place |
2081515 | Putukte | Tutukte | FM | Kosrae | Lelu Municipality | 5.34803 | 163.02244 | 0 | Pacific/Kosrae | populated place | |
2082281 | Danipei | Tanepei | FM | Pohnpei | Sokehs Municipality | 6.97913 | 158.19272 | 3 | 0 | Pacific/Pohnpei | populated place |
4042854 | Meseiku | FM | Chuuk | Fefen Municipality | 7.33308 | 151.8409 | 3 | 0 | Pacific/Chuuk | populated place | |
4042495 | Niheke | FM | Pohnpei | Nett Municipality | 6.95761 | 158.23778 | 4 | 0 | Pacific/Pohnpei | populated place | |
4042393 | Wichap | Vidjap | FM | Chuuk | Weno Municipality | 7.42417 | 151.85993 | 31 | 0 | Pacific/Chuuk | populated place |
1559154 | Faraq | Faregaaw,Firigaaw,Firigau,Frig’aw,Frigaau | FM | Yap | Kanifay Municipality | 9.48568 | 138.06927 | 3 | 0 | Pacific/Chuuk | populated place |
4045364 | Peilik | FM | Pohnpei | U Municipality | 6.96483 | 158.26097 | 2 | 0 | Pacific/Pohnpei | populated place | |
4042649 | Nih Pwongin | FM | Pohnpei | Madolenihm Municipality | 6.87609 | 158.28987 | 10 | 0 | Pacific/Pohnpei | populated place | |
2081227 | Winifei | Unifei,Wichukuna | FM | Chuuk | Tolensom Municipality | 7.33123 | 151.63798 | 4 | 0 | Pacific/Chuuk | populated place |
2082139 | Finaunpes | FM | Kosrae | Lelu Municipality | 5.3678 | 163.01917 | 4 | 0 | Pacific/Kosrae | populated place | |
4041885 | Salong | Schaulon | FM | Pohnpei | Madolenihm Municipality | 6.85371 | 158.32016 | 6 | 0 | Pacific/Pohnpei | populated place |
7628272 | Onoun | Ulul | FM | Chuuk | Onoun Municipality | 8.57895 | 149.68328 | 580 | Pacific/Chuuk | populated place | |
1558571 | Yinuuf | Inuf,Inufu,Yunuf | FM | Yap | Rull Municipality | 9.49405 | 138.09844 | 10 | 0 | Pacific/Chuuk | populated place |
2081207 | Winipis | O-iwa,Unipis,Vinepis,Ō-iwa | FM | Chuuk | Weno Municipality | 7.44533 | 151.88526 | 4 | 0 | Pacific/Chuuk | populated place |
2081486 | Saladak | Jelatak | FM | Pohnpei | Sokehs Municipality | 6.95356 | 158.15462 | 4 | 0 | Pacific/Pohnpei | populated place |
4043088 | Ipwal | FM | Pohnpei | Madolenihm Municipality | 6.81318 | 158.30054 | 15 | 0 | Pacific/Pohnpei | populated place | |
4043106 | Sapou | FM | Chuuk | Pwene Municipality | 7.33514 | 151.57075 | 20 | 0 | Pacific/Chuuk | populated place | |
2081625 | Peniata | FM | Chuuk | Wonei Municipality | 7.39408 | 151.59786 | 4 | 0 | Pacific/Chuuk | populated place | |
4036820 | Binaew | Binau,Binaw,Vinau | FM | Yap | Dalipebinaw Municipality | 9.53137 | 138.08544 | 3 | 0 | Pacific/Chuuk | populated place |
1558797 | Qokaaw | Okau | FM | Yap | Weloy Municipality | 9.54275 | 138.09767 | 0 | Pacific/Chuuk | populated place | |
2081804 | Nemwan | FM | Chuuk | Weno Municipality | 7.45082 | 151.89278 | 5 | 0 | Pacific/Chuuk | populated place | |
4037296 | Qaringeel | Arinel,Aringel,Aringell,Aringeru,Aringiru,Kanif | FM | Yap | Dalipebinaw Municipality | 9.52221 | 138.08179 | 3 | 0 | Pacific/Chuuk | populated place |
4044183 | Pohn Sok | FM | Pohnpei | Kitti Municipality | 6.82879 | 158.17411 | 52 | 0 | Pacific/Pohnpei | populated place | |
4044931 | Irenkodi | FM | Pohnpei | Sokehs Municipality | 6.94183 | 158.15268 | 4 | 0 | Pacific/Pohnpei | populated place | |
7646752 | Seliap | Siliap | FM | Yap | Woleai Municipality | 7.37223 | 143.85266 | 0 | Pacific/Chuuk | populated place | |
4043161 | Fason | Fasan,Fasol | FM | Chuuk | Tolensom Municipality | 7.34041 | 151.6318 | 94 | 0 | Pacific/Chuuk | populated place |
2081472 | Sapore | Sapoer | FM | Chuuk | Fefen Municipality | 7.33746 | 151.84968 | 3 | 0 | Pacific/Chuuk | populated place |
4037370 | Qayirech | Airech,Airetj,Ayirech,Ayrach,Ayrech,Eirech,Eiroch | FM | Yap | Fanif Municipality | 9.57936 | 138.12479 | 3 | 0 | Pacific/Chuuk | populated place |
4041868 | Sakariso | FM | Pohnpei | U Municipality | 6.9877 | 158.29834 | 3 | 0 | Pacific/Pohnpei | populated place | |
4038451 | Peniemwan | Peniamwan,Peniyemwaan,Sapo | FM | Chuuk | Eot Municipality | 7.38678 | 151.74115 | 6 | 0 | Pacific/Chuuk | populated place |
4042650 | Nihkawad | FM | Pohnpei | Madolenihm Municipality | 6.8434 | 158.31252 | 3 | 0 | Pacific/Pohnpei | populated place | |
4045344 | Sakarakapw | FM | Pohnpei | Madolenihm Municipality | 6.85828 | 158.29192 | 5 | 0 | Pacific/Pohnpei | populated place | |
4043010 | Lehiak | FM | Pohnpei | Madolenihm Municipality | 6.84373 | 158.31831 | 7 | 0 | Pacific/Pohnpei | populated place | |
7645223 | Piis Village | FM | Chuuk | Piis-Emwar Municipality | 6.83636 | 152.70226 | 427 | Pacific/Chuuk | populated place | ||
4043246 | Epin | FM | Chuuk | Paata-Tupunion Municipality | 7.37446 | 151.57216 | 3 | 0 | Pacific/Chuuk | populated place | |
7645370 | Lukunor Village | Lekinioch | FM | Chuuk | Lekinioch Municipality | 5.507 | 153.821 | 927 | Pacific/Chuuk | populated place | |
1558894 | Neel | Nei,Nel | FM | Yap | Kanifay Municipality | 9.47852 | 138.06828 | 10 | 0 | Pacific/Chuuk | populated place |
4042572 | Sapota | FM | Chuuk | Uman-Fonuweisom Municipality | 7.29792 | 151.88813 | 4 | 0 | Pacific/Chuuk | populated place | |
4042894 | Messa | Mesa,Mesa Village,Msas | FM | Chuuk | Fefen Municipality | 7.35582 | 151.85202 | 3 | 0 | Pacific/Chuuk | populated place |
4037367 | Qatliw | Aleru,Altiliu,Ateliu,Ateliw,Atell,Atelu,Ateru,Atiliu,Atiliw,Atliw,Utiliu | FM | Yap | Fanif Municipality | 9.55463 | 138.10206 | 3 | 0 | Pacific/Chuuk | populated place |
4042807 | Nan Paremwed | FM | Pohnpei | Kitti Municipality | 6.83514 | 158.17117 | 120 | 0 | Pacific/Pohnpei | populated place | |
4044204 | Poatoik | FM | Pohnpei | Nett Municipality | 7.00317 | 158.2581 | 23 | 0 | Pacific/Pohnpei | populated place | |
4045305 | Nukuoro Village | Matakena,Ngoru To,Nugoro,Nugoru To,Nukuor,Nukuoro | FM | Pohnpei | Nukuoro Municipality | 3.83626 | 154.97141 | 362 | Pacific/Pohnpei | populated place | |
4042681 | Mwan | FM | Chuuk | Weno Municipality | 7.43675 | 151.83902 | 3 | 0 | Pacific/Chuuk | populated place | |
2081228 | Wichukuno - temp LL | Wichuk | FM | Chuuk | Tolensom Municipality | 7.35163 | 151.61146 | 6 | 0 | Pacific/Chuuk | populated place |
4043216 | Penia | FM | Chuuk | Udot-Fonuweisom Municipality | 7.39189 | 151.7092 | 3 | 0 | Pacific/Chuuk | populated place | |
7645272 | Ettal Village | FM | Chuuk | Ettal Municipality | 5.56564 | 153.57855 | 267 | Pacific/Chuuk | populated place | ||
2081493 | Roro | Rara,Reere,Rere | FM | Chuuk | Tonoas Municipality | 7.37924 | 151.87682 | 10 | 0 | Pacific/Chuuk | populated place |
7626602 | Tofol Village | FM | Kosrae | Lelu Municipality | 5.32714 | 163.00778 | 0 | Pacific/Kosrae | populated place | ||
4042621 | Nipaip | FM | Pohnpei | Sokehs Municipality | 6.93348 | 158.19027 | 115 | 0 | Pacific/Pohnpei | populated place | |
2081659 | Pata | Paata,Pada | FM | Chuuk | Tonoas Municipality | 7.38844 | 151.87622 | 4 | 0 | Pacific/Chuuk | populated place |
4043174 | Fanomo | Falami,Faloma,Fanama,Fonomo | FM | Chuuk | Udot-Fonuweisom Municipality | 7.38347 | 151.71881 | 4 | 0 | Pacific/Chuuk | populated place |
4037425 | Teanfaar | T’enifar,Teanfaar,Teenifar,Tenfar | FM | Yap | Gagil Municipality | 9.53846 | 138.17857 | 35 | 0 | Pacific/Chuuk | populated place |
4044558 | Fason | FM | Chuuk | Fefen Municipality | 7.35126 | 151.85076 | 3 | 0 | Pacific/Chuuk | populated place | |
4042183 | Tonof | Tolop | FM | Chuuk | Tonoas Municipality | 7.38924 | 151.86664 | 5 | 0 | Pacific/Chuuk | populated place |
1558959 | Meay | Mujun,Umun,Umung,Umungu | FM | Yap | Gagil Municipality | 9.55824 | 138.18543 | 20 | 0 | Pacific/Chuuk | populated place |
4042932 | Manukun | Malekun,Manekun,Mwanukun | FM | Chuuk | Uman-Fonuweisom Municipality | 7.30871 | 151.87429 | 0 | 0 | Pacific/Chuuk | populated place |
7649131 | Diendoar | FM | Pohnpei | Nett Municipality | 6.99818 | 158.25631 | 4 | 0 | Pacific/Pohnpei | populated place | |
7645732 | Elato Village | FM | Yap | Elato Municipality | 7.51023 | 146.17059 | 96 | Pacific/Chuuk | populated place | ||
7645177 | Fananu Village | FM | Chuuk | Fananu Municipality | 8.5585 | 151.90254 | 355 | Pacific/Chuuk | populated place | ||
4041724 | Pokochou | Poukachau,Poukechau | FM | Chuuk | Paata-Tupunion Municipality | 7.37147 | 151.57822 | 3 | 0 | Pacific/Chuuk | populated place |
7646751 | Tagaulap | Tohoilap | FM | Yap | Woleai Municipality | 7.35694 | 143.87966 | 0 | Pacific/Chuuk | populated place | |
4041908 | Sapota | FM | Chuuk | Paata-Tupunion Municipality | 7.38292 | 151.58551 | 3 | 0 | Pacific/Chuuk | populated place | |
2081622 | Peniesene | Peliesele,Peliesole,Peliysale | FM | Chuuk | Weno Municipality | 7.4557 | 151.87388 | 4 | 0 | Pacific/Chuuk | populated place |
1558986 | Malaaf | Malaf | FM | Yap | Maap Municipality | 9.59504 | 138.1566 | 3 | 0 | Pacific/Chuuk | populated place |
4044858 | Etiemar | Etiermar | FM | Chuuk | Paata-Tupunion Municipality | 7.37182 | 151.58426 | 10 | 0 | Pacific/Chuuk | populated place |
2081416 | Sopuo | FM | Chuuk | Fefen Municipality | 7.31555 | 151.84001 | 3 | 0 | Pacific/Chuuk | populated place | |
4042555 | Sanuk | FM | Chuuk | Uman-Fonuweisom Municipality | 7.30822 | 151.88603 | 4 | 0 | Pacific/Chuuk | populated place | |
4042824 | Nan Dapang | FM | Pohnpei | Nett Municipality | 6.96081 | 158.2246 | 20 | 0 | Pacific/Pohnpei | populated place | |
4037504 | Gael | Tar’aw | FM | Yap | Kanifay Municipality | 9.47065 | 138.06499 | 10 | 0 | Pacific/Chuuk | populated place |
4044474 | Fanip | Oror En Nameis | FM | Chuuk | Eot Municipality | 7.38446 | 151.73749 | 5 | 0 | Pacific/Chuuk | populated place |
4044435 | Nihkaikes | FM | Pohnpei | U Municipality | 6.92055 | 158.27604 | 120 | 0 | Pacific/Pohnpei | populated place |
**Exploring Micronesia: A Geographer's Perspective**
Introduction**
Nestled in the western Pacific Ocean lies the enchanting archipelago of Micronesia, a tapestry of islands brimming with natural beauty and cultural diversity. As a geographer delving into the geographical intricacies of Micronesia, one is drawn into a world of lush landscapes, azure waters, and vibrant communities. In this article, we embark on a journey to obtain data on the cities of Micronesia, including their regions and departments, as well as the latitude and longitude coordinates of each city.
Unveiling the Island Tapestry**
Micronesia's cities are not merely urban centers but vibrant hubs of culture, history, and community life. From the bustling streets of Palikir, the capital of the Federated States of Micronesia, to the serene villages of Yap, each city tells a unique story shaped by its geographic context and historical heritage. Obtaining data on the cities of Micronesia allows us to unravel the spatial distribution of population, economic activity, and cultural landscapes across the archipelago.
Mapping Latitude and Longitude**
The latitude and longitude coordinates of Micronesia's cities provide invaluable spatial information for geographic analysis and mapping. From the northernmost reaches of the Mariana Islands to the southernmost atolls of Chuuk, these coordinates delineate the geographic extent of each city and its relationship to surrounding landforms and marine environments. By mapping latitude and longitude data, geographers can visualize spatial patterns, analyze geographic trends, and identify areas of ecological significance for conservation and sustainable development.
Exploring Regional Diversity**
Micronesia's geographical diversity is reflected in its myriad of islands, each with its own unique topography, climate, and cultural traditions. From the volcanic peaks of Pohnpei to the coral atolls of Kosrae, the region's diverse landscapes offer a wealth of ecological and cultural riches waiting to be explored. By obtaining data on the regions and departments of Micronesia, geographers can delve into the spatial distribution of these environmental characteristics and understand their implications for human settlement, resource management, and community resilience.
Challenges and Opportunities**
Despite its natural beauty and cultural heritage, Micronesia faces a range of geographic challenges, from climate change and environmental degradation to economic development and social inequality. By obtaining data on the cities, regions, and departments of Micronesia, geographers can contribute to evidence-based decision-making and policy formulation, addressing issues such as sustainable land use, marine conservation, and disaster risk reduction. By understanding the geographic context of these challenges, policymakers can develop more effective strategies for building resilience, promoting inclusive development, and safeguarding the well-being of Micronesia's communities.
Conclusion**
In conclusion, the geography of Micronesia offers a captivating canvas for exploration and discovery. By obtaining data on the cities, regions, and departments of Micronesia, geographers can unravel the spatial dynamics and complexities that shape the region's landscapes and livelihoods. As stewards of Micronesia's geographical heritage, it is our responsibility to use this knowledge to inform decision-making, promote sustainable development, and preserve the natural and cultural heritage of this enchanting archipelago for future generations to cherish and enjoy.
Download data files for Micronesia's cities in CSV, SQL, XML and JSON formats
Discovering the Geographic Diversity of Micronesia: A Data-Driven Perspective
Micronesia, a vast region made up of numerous islands scattered across the western Pacific Ocean, presents a fascinating landscape for geographical exploration. With its unique island chains and distinct cultural regions, Micronesia offers invaluable insights into island geography, urban development, and the relationship between human settlements and the natural environment. Understanding the geographic structure of Micronesia requires access to accurate data, specifically about its cities, regions, and departments. This data is essential for geographers, urban planners, and environmental analysts working to understand the challenges and opportunities faced by this island nation.
The Complex Geography of Micronesia
The Federated States of Micronesia (FSM) is composed of four main states: Yap, Chuuk, Pohnpei, and Kosrae. Each state is made up of multiple islands, many of which are only accessible by boat or plane. These islands have their own unique characteristics, from the mountainous terrains of Pohnpei to the coral atolls of Chuuk, which are famed for their biodiversity and cultural heritage.
In addition to the states, Micronesia’s cities and towns are located across these islands, each with varying population densities, economic activities, and infrastructure levels. The cities within these states form the central hubs of activity, while rural areas are often more spread out and rely heavily on agriculture and fishing. Understanding the geographical layout of these cities and their administrative divisions, including their exact locations and borders, is crucial for comprehensive research and analysis.
Latitude and Longitude Data: Essential for Mapping Micronesia’s Cities
One of the most valuable tools for a geographer working with Micronesia is the use of latitude and longitude coordinates. These coordinates provide an exact location for each city, allowing researchers to build detailed, accurate maps of the region. This data is especially important for island nations like Micronesia, where physical distances between islands are vast and difficult to visualize without precise mapping.
By acquiring latitude and longitude data for cities like Palikir (the capital of FSM), Weno, or Colonia, geographers can pinpoint the location of each urban area, facilitating detailed spatial analysis. This type of data can be used for a range of applications, such as studying population distribution, climate change effects, or infrastructure planning. Mapping the locations of cities also helps in understanding the relationship between urban areas and natural features like lagoons, volcanic mountains, or coral reefs, which are central to Micronesia’s environmental identity.
The Importance of Flexible Data Formats
For any serious geographical research, the ability to work with data in multiple formats is crucial. The diverse nature of Micronesia’s geography and administrative structure means that data must be adaptable to various types of analysis. To make the most of geographic data, having it available in formats such as CSV, SQL, JSON, and XML is essential for flexibility and ease of use.
- **CSV (Comma-Separated Values):** CSV files are a popular and straightforward format for storing geographic data. They allow for easy organization of cities, regions, and their respective coordinates, making it simple to perform basic analyses and generate reports. CSV is compatible with many data visualization tools and mapping platforms, making it a go-to format for quick access to geographic data.
- **SQL (Structured Query Language):** SQL is ideal for working with large datasets stored in relational databases. This format allows researchers to perform complex queries, making it possible to extract specific geographic data, track changes in population density, or study regional trends over time. SQL’s versatility makes it a powerful tool for analyzing the relationship between different geographic regions within Micronesia.
- **JSON (JavaScript Object Notation):** JSON is commonly used for web-based applications, particularly for interactive maps and real-time data sharing. This format is lightweight, easy to integrate into apps, and perfect for transferring data between platforms. Researchers can use JSON to design and develop interactive mapping tools or web-based applications that visualize Micronesia’s cities and geographic data.
- **XML (Extensible Markup Language):** XML offers a flexible structure for sharing data across different systems. It is widely used for integrating and exchanging complex geographic datasets between platforms. For projects that involve large-scale data sharing or integration with external systems, XML is the format of choice. Its ability to store detailed geographic information while maintaining compatibility with various software applications makes it indispensable for data exchange in geographical research.
Accessing Micronesia’s Geographic Data: A Comprehensive Resource
To conduct meaningful geographical research on Micronesia, having access to a well-structured, comprehensive database is crucial. A database containing detailed information on the cities, regions, and departments of Micronesia, along with their latitude and longitude coordinates, provides a rich resource for geographers and researchers. This data can be used to study population growth, urbanization trends, infrastructure development, and the effects of climate change on the region.
A well-organized database of Micronesia’s cities, states, and municipalities makes it easier for researchers to track trends, compare data, and generate insights that can inform policy decisions. Whether studying the impacts of rising sea levels on low-lying islands or analyzing the migration patterns between the island states, having access to this data in a structured format is essential for meaningful analysis.
By making this data available in multiple formats—CSV, SQL, JSON, and XML—researchers can adapt the data to their specific needs, whether working in spreadsheets, GIS software, or web-based applications. The flexibility of these formats ensures that the data is accessible to a wide range of users, from academic researchers to government agencies and environmental organizations.
Conclusion
The geography of Micronesia, with its diverse islands and unique administrative structure, offers a wealth of opportunities for geographical study. Understanding the spatial relationships between cities, regions, and departments requires access to accurate and up-to-date data, including latitude and longitude coordinates. By obtaining geographic data in flexible formats like CSV, SQL, JSON, and XML, researchers can gain deeper insights into Micronesia’s urban and environmental dynamics. This data-driven approach opens up new avenues for studying urbanization, climate change, and the sustainable development of this island nation, helping to ensure that future growth is both informed and sustainable.