Indonesia cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 243039 cities in the Indonesia 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 Indonesia 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
7410405 | Presak Bat | Presak Bat | ID | West Nusa Tenggara | Kabupaten Lombok Timur | -8.7312 | 116.4731 | 0 | Asia/Makassar | populated place | |
7473177 | Masuka | Masuka | ID | South Sulawesi | Kabupaten Luwu | -3.2785 | 120.2349 | 0 | Asia/Makassar | populated place | |
6260900 | Sembungan | ID | Central Java | Kabupaten Magelang | -7.59722 | 110.18278 | 0 | Asia/Jakarta | populated place | ||
7792518 | Citiis | Citiis | ID | Banten | Kabupaten Serang | -6.2111 | 105.9639 | 0 | Asia/Jakarta | populated place | |
6256772 | Karangwuni | ID | Central Java | Kabupaten Magelang | -7.37694 | 110.31639 | 0 | Asia/Jakarta | populated place | ||
1965613 | Ngowok | Gowok,Ngowok | ID | East Java | Kabupaten Malang | -8.1206 | 112.5511 | 0 | Asia/Jakarta | populated place | |
7545492 | Bentaur | Bentaur | ID | West Nusa Tenggara | Kabupaten Lombok Barat | -8.5227 | 116.1178 | 0 | Asia/Makassar | populated place | |
6563734 | Ngabuh | Ngabuh | ID | Central Java | Kabupaten Temanggung | -7.19028 | 110.20556 | 0 | Asia/Jakarta | populated place | |
6770082 | Tambakringin | Tambakringin | ID | Central Java | Kabupaten Pemalang | -6.8924 | 109.3646 | 0 | Asia/Jakarta | populated place | |
1638704 | Lako | Lako,Lako 2 | ID | 1.11667 | 127.41667 | 0 | Asia/Jayapura | populated place | |||
8390309 | Mumubolan | Mumubolan | ID | East Nusa Tenggara | Kabupaten Kupang | -10.1412 | 123.3954 | 0 | Asia/Makassar | populated place | |
6387621 | Kalimenyawak | Kalimenyawak | ID | Central Java | Kabupaten Banyumas | -7.43028 | 108.99556 | 0 | Asia/Jakarta | populated place | |
8067429 | Cihieum | Cihieum | ID | West Java | Kabupaten Kuningan | -7.0087 | 108.5699 | 0 | Asia/Jakarta | populated place | |
2010292 | Sorogaten | ID | Yogyakarta | Kabupaten Kulon Progo | -7.94722 | 110.19444 | 0 | Asia/Jakarta | populated place | ||
1949452 | Sadamaya | Sadamaya | ID | West Java | Kabupaten Cianjur | -6.70472 | 107.12583 | 0 | Asia/Jakarta | populated place | |
6915641 | Pangipangi | Pangipangi | ID | Southeast Sulawesi | Kabupaten Kolaka Timur | -4.2016 | 121.913 | 0 | Asia/Makassar | populated place | |
8520108 | Komar | Komar,Komor | ID | South Papua | Kabupaten Asmat | -5.27109 | 138.2801 | 0 | Asia/Jayapura | populated place | |
6261630 | Tegalsari | ID | Central Java | Kabupaten Purworejo | -7.70194 | 110.01444 | 0 | Asia/Jakarta | populated place | ||
7888153 | Sawahnangka | Sawahnangka | ID | West Java | Kabupaten Cianjur | -7.1807 | 107.1137 | 0 | Asia/Jakarta | populated place | |
1986211 | Katulampa | ID | West Java | Kabupaten Bandung | -7.09972 | 107.73778 | 0 | Asia/Jakarta | populated place | ||
2006522 | Punden | ID | Central Java | Kabupaten Klaten | -7.66417 | 110.61528 | 0 | Asia/Jakarta | populated place | ||
1906374 | Pengampon | Pengampon | ID | East Java | Gresik Regency | -7.2976 | 112.6135 | 0 | Asia/Jakarta | populated place | |
6923636 | Lawang | Lawang | ID | North Sulawesi | Kabupaten Kepulauan Sangihe | 3.40703 | 125.56917 | 0 | Asia/Makassar | populated place | |
8744996 | Transmigrasi Sugihan Kiri | Transmigrasi Sugihan Kiri | ID | South Sumatra | Kabupaten Banyu Asin | -2.55125 | 105.16305 | 0 | Asia/Jakarta | populated place | |
1935878 | Tegalsari | ID | Central Java | Kabupaten Sukoharjo | -7.6575 | 110.87694 | 0 | Asia/Jakarta | populated place | ||
6721071 | Sinta Damai | Sinta Damai | ID | North Sumatra | Kabupaten Deli Serdang | 3.62979 | 98.9134 | 0 | Asia/Jakarta | populated place | |
7845346 | Sengkol Dua | Sengkol Dua | ID | West Java | Kabupaten Sukabumi | -7.3184 | 106.5743 | 0 | Asia/Jakarta | populated place | |
7415296 | Lembahbahagia | Lembahbahagia | ID | South Sulawesi | Kabupaten Luwu Timur | -2.5538 | 120.7841 | 0 | Asia/Makassar | populated place | |
8017983 | Sukarasa | Soekakarsa,Sukarasa | ID | West Java | Kabupaten Tasikmalaya | -7.3722 | 108.0821 | 0 | Asia/Jakarta | populated place | |
8362101 | Umbulan Kayubangar | Umbulan Kayubangar,Umbulankayubangar | ID | Lampung | Kabupaten Lampung Utara | -4.72593 | 104.74218 | 0 | Asia/Jakarta | populated place | |
8637293 | Situmtuman Satu | Situmtuman 1,Situmtuman Satu | ID | North Sumatra | Kabupaten Humbang Hasundutan | 2.3066 | 98.9516 | 0 | Asia/Jakarta | populated place | |
6703600 | Pondok Karang Rejo | Pondok Karang Rejo | ID | North Sumatra | Kabupaten Asahan | 3.0111 | 99.6433 | 0 | Asia/Jakarta | populated place | |
12178258 | Beyan Lor | ID | East Java | Kabupaten Jombang | -7.56662 | 112.21559 | 0 | Asia/Jakarta | populated place | ||
1640852 | Kayi | Kaji,Kayi | ID | Southwest Papua | Kabupaten Tambrauw | -0.93333 | 132.63333 | 0 | Asia/Jayapura | populated place | |
2006696 | Tegalmulyo | ID | Central Java | Kabupaten Klaten | -7.68333 | 110.6075 | 0 | Asia/Jakarta | populated place | ||
6255579 | Nayu | ID | Central Java | Kabupaten Wonogiri | -7.94111 | 110.94556 | 0 | Asia/Jakarta | populated place | ||
6601248 | Paris | Paris | ID | West Java | Kabupaten Sukabumi | -6.87583 | 106.77 | 0 | Asia/Jakarta | populated place | |
7061155 | Kaerenge | Kaerenge | ID | South Sulawesi | Kabupaten Barru | -4.4326 | 119.7115 | 0 | Asia/Makassar | populated place | |
6714486 | Perlak | Perlak | ID | Aceh | Kabupaten Gayo Lues | 4.1584 | 96.9769 | 0 | Asia/Jakarta | populated place | |
7780959 | Patenggeng | Patenggeng | ID | Banten | Kabupaten Pandeglang | -6.3605 | 105.9032 | 0 | Asia/Jakarta | populated place | |
7743070 | Lumban Dolok | Lumban Dolok | ID | North Sumatra | Kabupaten Samosir | 2.7404 | 98.7728 | 0 | Asia/Jakarta | populated place | |
8420669 | Lawangtabak | Lawangtabak | ID | East Nusa Tenggara | Kabupaten Alor | -8.1842 | 124.7563 | 0 | Asia/Makassar | populated place | |
6831003 | Ngemplak | Ngemplak | ID | East Java | Kabupaten Kediri | -7.6599 | 112.2024 | 0 | Asia/Jakarta | populated place | |
6703098 | Salangdagu | Salangdagu | ID | North Sumatra | Kabupaten Langkat | 3.6102 | 98.0899 | 0 | Asia/Jakarta | populated place | |
1635883 | Mataram | Mataram | ID | West Java | Kabupaten Sukabumi | -7.1684 | 106.6665 | 0 | Asia/Jakarta | populated place | |
6378248 | Karanganyar | Karanganyar | ID | Central Java | Kabupaten Wonosobo | -7.5675 | 109.81111 | 0 | Asia/Jakarta | populated place | |
6724576 | Duit Dua | Duit 2,Duit Dua | ID | Riau | Kabupaten Kampar | 0.3533 | 101.2325 | 0 | Asia/Jakarta | populated place | |
2005233 | Gonjeu | ID | Yogyakarta | Kabupaten Bantul | -7.82694 | 110.335 | 0 | Asia/Jakarta | populated place | ||
6842133 | Bulu Satu | Bulu Satu | ID | East Java | Kabupaten Madiun | -7.4847 | 111.6774 | 0 | Asia/Jakarta | populated place | |
6408039 | Jandang | Jandang | ID | Central Java | Kabupaten Wonogiri | -7.75139 | 111.26889 | 0 | Asia/Jakarta | populated place | |
7743777 | Ambarisan | Ambarisan | ID | North Sumatra | Kabupaten Simalungun | 2.8758 | 98.9033 | 0 | Asia/Jakarta | populated place | |
2000093 | Kuncen | ID | Yogyakarta | Kabupaten Sleman | -7.81556 | 110.44972 | 0 | Asia/Jakarta | populated place | ||
6579268 | Warujajar | Warujajar | ID | West Java | Kabupaten Cianjur | -6.81917 | 107.14556 | 0 | Asia/Jakarta | populated place | |
6260529 | Gebang | ID | Central Java | Kabupaten Purworejo | -7.57417 | 110.03278 | 0 | Asia/Jakarta | populated place | ||
6597260 | Nanggeleng | Nanggeleng | ID | West Java | Kabupaten Bogor | -6.73222 | 106.86028 | 0 | Asia/Jakarta | populated place | |
6821926 | Bupong Lao | Bupong Lao | ID | East Java | Kabupaten Situbondo | -7.764 | 113.738 | 0 | Asia/Jakarta | populated place | |
6588384 | Ciraden | Ciraden | ID | West Java | Kabupaten Sukabumi | -6.98889 | 107.01278 | 0 | Asia/Jakarta | populated place | |
1962480 | Ceuri | Ceuri,Tjeuri | ID | West Java | Kabupaten Bandung | -7.00722 | 107.54528 | 0 | Asia/Jakarta | populated place | |
8058382 | Jelak | Jelak | ID | Central Java | Kabupaten Pati | -6.7188 | 111.0462 | 0 | Asia/Jakarta | populated place | |
8314824 | Kenteng | Kenteng | ID | East Java | Kabupaten Trenggalek | -8.148 | 111.5494 | 0 | Asia/Jakarta | populated place | |
7569372 | Fatima | Fatima | ID | East Nusa Tenggara | Kabupaten Ngada | -8.8056 | 120.9707 | 0 | Asia/Makassar | populated place | |
7781556 | Combong | Combong | ID | Banten | Kabupaten Serang | -6.2153 | 106.1218 | 0 | Asia/Jakarta | populated place | |
8078019 | Kuta | Kuta | ID | Central Java | Kabupaten Brebes | -7.0639 | 108.8652 | 0 | Asia/Jakarta | populated place | |
6597901 | Gang Sukarna | Gang Sukarna | ID | West Java | Kota Bogor | -6.58917 | 106.78917 | 0 | Asia/Jakarta | populated place | |
7377570 | Binakarya | Binakarya | ID | West Nusa Tenggara | Kabupaten Sumbawa | -8.6018 | 117.4531 | 0 | Asia/Makassar | populated place | |
8410058 | Noefefan | Noefefan | ID | East Nusa Tenggara | Kabupaten Timor Tengah Selatan | -10.1134 | 124.4823 | 0 | Asia/Makassar | populated place | |
7380140 | Wolowuja | Wolowuja | ID | East Nusa Tenggara | Kabupaten Ende | -8.7901 | 121.8876 | 0 | Asia/Makassar | populated place | |
8185392 | Kebon | Kebon | ID | East Java | Kabupaten Jember | -8.2914 | 113.5117 | 0 | Asia/Jakarta | populated place | |
6758947 | Ciloa | Ciloa | ID | Banten | Kabupaten Serang | -6.0831 | 106.0544 | 0 | Asia/Jakarta | populated place | |
6593087 | Dusun Empat | Dusun Empat | ID | West Java | Kabupaten Purwakarta | -6.61389 | 107.48361 | 0 | Asia/Jakarta | populated place | |
6718504 | Meunasah Aluemudim | Meunasah Aluemudim | ID | Aceh | Kabupaten Aceh Utara | 5.0699 | 97.3012 | 0 | Asia/Jakarta | populated place | |
1629356 | Sabandar | Sabandar | ID | West Java | Kabupaten Majalengka | -6.64833 | 108.05694 | 0 | Asia/Jakarta | populated place | |
1965977 | Waregu | ID | West Java | Kabupaten Bandung | -7.06528 | 107.61833 | 0 | Asia/Jakarta | populated place | ||
8527172 | Talang Tanjungtaring | Talang Tanjungtaring | ID | South Sumatra | Kota Pagar Alam | -4.12039 | 103.20138 | 0 | Asia/Jakarta | populated place | |
8418329 | Oepuah | Oepuah | ID | East Nusa Tenggara | Kabupaten Timor Tengah Selatan | -9.7881 | 124.6894 | 0 | Asia/Makassar | populated place | |
6830048 | Gemantar | Gemantar | ID | East Java | Kabupaten Magetan | -7.5806 | 111.4548 | 0 | Asia/Jakarta | populated place | |
6378283 | Pandagan | Pandagan | ID | Central Java | Kabupaten Wonosobo | -7.56222 | 109.77139 | 0 | Asia/Jakarta | populated place | |
6588882 | Cikaret | Cikaret | ID | West Java | Kabupaten Bandung Barat | -6.97722 | 107.21583 | 0 | Asia/Jakarta | populated place | |
1639271 | Kuangsan | Koeangsan,Koengsan,Kuangsan | ID | Central Java | Kabupaten Sukoharjo | -7.68333 | 110.95 | 0 | Asia/Jakarta | populated place | |
7558821 | Longgato | Longgato | ID | Gorontalo | Kabupaten Gorontalo | 0.6061 | 123.0359 | 0 | Asia/Makassar | populated place | |
7057565 | Balibunga | Balibunga | ID | West Nusa Tenggara | Kabupaten Dompu | -8.5404 | 118.4354 | 0 | Asia/Makassar | populated place | |
6763246 | Blambangan | Blambangan | ID | Central Java | Kota Pekalongan | -6.92499 | 109.6789 | 0 | Asia/Jakarta | populated place | |
8579275 | Tabuan | Tabuan | ID | Riau | Kabupaten Indragiri Hilir | 0.01425 | 103.48406 | 0 | Asia/Jakarta | populated place | |
2002661 | Dagaran | ID | Yogyakarta | Kabupaten Bantul | -7.91111 | 110.31556 | 0 | Asia/Jakarta | populated place | ||
6407117 | Talang | Talang | ID | Central Java | Kabupaten Wonogiri | -7.80611 | 111.23 | 0 | Asia/Jakarta | populated place | |
6779047 | Lonangka | Lonangka | ID | East Java | Kabupaten Sampang | -7.0556 | 113.2256 | 0 | Asia/Jakarta | populated place | |
7083499 | Sumberjeding | Sumberjeding | ID | East Java | Kabupaten Jember | -8.2035 | 113.7979 | 0 | Asia/Jakarta | populated place | |
6739475 | Legokkole | Legokkole | ID | West Java | Kabupaten Bandung | -7.0604 | 107.4388 | 0 | Asia/Jakarta | populated place | |
7666474 | Tempelsari | Tempelsari | ID | Lampung | Kabupaten Pesawaran | -5.46357 | 105.02121 | 0 | Asia/Jakarta | populated place | |
6386041 | Gunungtumpeng | Gunungtumpeng | ID | Central Java | Kabupaten Kebumen | -7.62528 | 109.61278 | 0 | Asia/Jakarta | populated place | |
6828817 | Buaran | Buaran | ID | East Java | Kabupaten Pasuruan | -7.6759 | 112.9187 | 0 | Asia/Jakarta | populated place | |
7567654 | Mera | Mera | ID | East Nusa Tenggara | Kabupaten Manggarai Timur | -8.7489 | 120.6856 | 0 | Asia/Makassar | populated place | |
1974465 | Polang | Polang | ID | South Sulawesi | Kabupaten Barru | -4.4674 | 119.6263 | 0 | Asia/Makassar | populated place | |
7571845 | Congahing | Congahing | ID | South Sulawesi | Kabupaten Bone | -4.9969 | 120.0944 | 0 | Asia/Makassar | populated place | |
1621791 | Batumea | Batoemea,Batumea,Watoemea,Watoenea,Watunea | ID | Southeast Sulawesi | Kabupaten Konawe Kepulauan | -4.0759 | 122.9429 | 0 | Asia/Makassar | populated place | |
1638886 | Labuandiri | Laboeandere,Laboeandiri,Labuandiri | ID | Southeast Sulawesi | Kabupaten Buton | -5.37118 | 123.13721 | 0 | Asia/Makassar | populated place | |
12197546 | Gondang | ID | Central Java | Kabupaten Pemalang | -6.88651 | 109.41962 | 0 | Asia/Jakarta | populated place | ||
6579489 | Pasirwaru | Pasirwaru | ID | West Java | Kabupaten Cianjur | -6.84639 | 107.14472 | 0 | Asia/Jakarta | populated place | |
8057396 | Karangsari | Karangsari | ID | West Java | Kabupaten Ciamis | -7.4932 | 108.5872 | 0 | Asia/Jakarta | populated place | |
6590931 | Warungnangka | Warungnangka | ID | West Java | Kabupaten Bandung Barat | -6.74306 | 107.34278 | 0 | Asia/Jakarta | populated place |
Indonesia: A Geographical Exploration of the Archipelago
The Diverse Geography of Indonesia
Indonesia, the world's largest archipelago, is a nation of remarkable geographic diversity. Comprising over 17,000 islands, Indonesia spans a vast area in Southeast Asia, straddling both the Pacific and Indian Oceans. The country's diverse geography includes tropical rainforests, volcanic mountains, extensive coastlines, and rich marine ecosystems. Its islands, varying in size and landscape, offer unique challenges and opportunities for both human habitation and environmental management.
Indonesia’s islands are divided into two main geographic regions: the western islands, which include Sumatra, Java, and Bali, and the eastern islands, which include Kalimantan (Indonesian Borneo), Sulawesi, and Papua. The island of Java, the most populous island in the world, is home to Indonesia’s capital, Jakarta, and serves as the country’s political, economic, and cultural center. While Java and Sumatra are characterized by dense populations and bustling urban areas, regions like Papua and Kalimantan feature lush rainforests and biodiversity hotspots, much of which remain relatively underdeveloped.
The country’s geographic location along the Pacific "Ring of Fire" also means it experiences frequent volcanic activity, shaping both the landscape and the society. Indonesia’s volcanoes are a vital part of its natural heritage, but they also present hazards that influence settlement patterns and infrastructure development. The country's rivers, such as the Kapuas in Borneo and the Mahakam in Kalimantan, play a significant role in transportation, agriculture, and trade.
Administrative Structure of Indonesia
Indonesia is divided into 34 provinces, each with its own unique geography, culture, and economic focus. The provinces are further subdivided into districts (kabupaten) and cities (kota). Jakarta, the capital, is a special region with a unique administrative structure, functioning both as a province and a metropolitan area. The provinces range from highly urbanized regions like Bali, Java, and Sumatra to the more remote and sparsely populated provinces in the eastern part of the archipelago, such as Papua and East Nusa Tenggara.
The vast and varied geography of Indonesia is reflected in its administrative divisions. Some provinces, such as West Java, are heavily urbanized, with large metropolitan areas that are hubs of economic activity, while provinces like Aceh and Papua are characterized by their mountainous terrain, agricultural reliance, and smaller populations. The geographical characteristics of each province influence not only local economic activities but also regional development policies, infrastructure planning, and resource management strategies.
Cities and Regions: Understanding Indonesia’s Urban and Rural Distribution
Indonesia’s cities and towns are concentrated in specific regions, with urbanization being particularly pronounced on Java and Sumatra. Jakarta, as the political and economic capital, is the largest city in the country and serves as the focal point for business, government, and culture. Other major cities like Surabaya, Bandung, and Medan also play significant roles in the country's economic and cultural development.
In contrast, rural regions such as those in Kalimantan, Papua, and East Nusa Tenggara are less densely populated, with much of the population relying on agriculture, fishing, and forestry for livelihood. These areas are rich in natural resources and biodiversity, but they also face challenges in terms of infrastructure, education, and healthcare. Understanding the geography of Indonesia’s cities and rural areas is crucial for policymakers and planners who aim to balance urban expansion with the preservation of natural environments and the improvement of living standards across the archipelago.
Geographical Data: Mapping Indonesia’s Cities and Regions
For a comprehensive understanding of Indonesia’s geography, detailed data on the cities, provinces, and regions is essential. Mapping Indonesia’s cities, towns, and regions, including their precise locations and administrative boundaries, helps create a clear picture of the country’s spatial organization. Geographic data, such as the latitude and longitude of each city and province, is key to identifying trends in urbanization, resource distribution, and the movement of populations.
By obtaining geographic data on Indonesian cities, including the capital Jakarta and other key urban centers, geographers can better understand how the country's population is distributed and how cities are connected by infrastructure. For example, data on cities like Surabaya, Medan, and Makassar reveals how urbanization has developed along major transportation corridors, while data on remote towns in Papua or Maluku provides insights into the challenges of service delivery in less accessible areas.
Geographical data also helps policymakers address issues such as environmental sustainability, infrastructure needs, and disaster management. With Indonesia being prone to natural disasters like earthquakes, tsunamis, and volcanic eruptions, geographic data is essential for identifying risk zones and ensuring the safety of residents in high-risk areas.
Latitude and Longitude: The Key to Understanding Spatial Dynamics in Indonesia
Latitude and longitude data are essential for understanding the geographical distribution of Indonesia’s cities, regions, and natural resources. By obtaining the precise coordinates of each city, region, and district, planners can create accurate maps that display how urban areas are connected to rural zones, how industries are distributed across the country, and where the country’s resources are located.
For instance, knowing the exact coordinates of Jakarta allows geographers and planners to understand how the capital city is situated along major trade routes and how its coastal location impacts its economy. Similarly, mapping out the locations of remote cities like Jayapura or Pontianak helps planners address issues of transportation, access to basic services, and regional development.
Geographic data also enables effective planning for disaster management. In a country prone to earthquakes and volcanic eruptions, knowing the latitude and longitude of cities located near fault lines or volcanoes is essential for building resilient infrastructure and planning evacuation routes.
Sustainable Development in Indonesia: Using Geographic Data for Growth
Indonesia’s growing population and rapid urbanization present both opportunities and challenges for sustainable development. The country's diverse geography—ranging from fertile plains and volcanic mountains to coastal ecosystems and dense rainforests—provides ample resources for development, but it also requires careful management to avoid overexploitation.
Geographic data plays a critical role in sustainable development by helping policymakers identify regions with abundant resources and those that need more attention in terms of conservation and environmental protection. By analyzing data on the distribution of agricultural lands, forests, and urban areas, the government can develop policies that support both economic growth and environmental preservation.
For example, mapping out the location of industries and agriculture in provinces like East Java or South Sumatra allows for better management of land use, water resources, and energy needs. In rural provinces like Papua, geographic data helps prioritize development efforts to improve infrastructure, education, and healthcare in remote regions.
Leveraging Geographic Data for Indonesia’s Future
As Indonesia continues to grow and evolve, the use of geographic data will become even more important in shaping its future. By obtaining detailed data on the cities, regions, and natural resources of Indonesia, the country can plan more effectively for sustainable urbanization, resource management, and disaster resilience.
Geographic data will also play a key role in enhancing the country’s infrastructure, improving connectivity between urban and rural areas, and ensuring that Indonesia’s development benefits all regions equitably. As Indonesia navigates the challenges posed by climate change, population growth, and technological advancements, geographic data will help the country build a resilient, sustainable future.
Conclusion
In conclusion, obtaining comprehensive geographic data on Indonesia’s cities, regions, and natural resources—including their latitude and longitude coordinates—is essential for understanding the country’s geography and planning for its future development. This data is key to managing urbanization, preserving natural environments, and promoting sustainable growth. By leveraging geographic data, Indonesia can enhance its infrastructure, improve living standards, and create a more sustainable and resilient future for its people.
FaQ about Indonesia
- 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.