Indonesia Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 24 March 2026.
Here you’ll find a curated sample of 100 key cities from Indonesia, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 243039 geographic locations across Indonesia.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Indonesia is Jakarta.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 6257297 | Nalan | ID | Central Java | Kabupaten Semarang | -7.39972 | 110.49194 | 0 | Asia/Jakarta | populated place | ||
| 6262974 | Sukodono | ID | Central Java | Kabupaten Sragen | -7.43611 | 110.83889 | 0 | Asia/Jakarta | populated place | ||
| 6791471 | Tembelang Wetan | Tembelang Wetan | ID | Central Java | Kabupaten Pekalongan | -7.0477 | 109.6596 | 0 | Asia/Jakarta | populated place | |
| 7088294 | Karombang | Karombang | ID | West Sulawesi | Kabupaten Polewali Mandar | -3.2123 | 119.1403 | 0 | Asia/Makassar | populated place | |
| 6774370 | Pasirpari | Pasirpari | ID | West Java | Kabupaten Garut | -7.24 | 107.8004 | 0 | Asia/Jakarta | populated place | |
| 1935491 | Sawahan | ID | Central Java | Kabupaten Karanganyar | -7.57083 | 110.90306 | 0 | Asia/Jakarta | populated place | ||
| 8529430 | Peguil | Peguil,Pugul | ID | Bangka–Belitung Islands | Kabupaten Bangka | -1.74501 | 105.9524 | 0 | Asia/Jakarta | populated place | |
| 6966841 | Kautu | Kautu | ID | Central Sulawesi | Kabupaten Banggai Kepulauan | -1.2814 | 123.3253 | 0 | Asia/Makassar | populated place | |
| 6560528 | Puntukngluwah | Puntukngluwah | ID | Central Java | Kabupaten Karanganyar | -7.71722 | 111.03056 | 0 | Asia/Jakarta | populated place | |
| 6370515 | Gumelar Kidul | Gumelar Kidul | ID | Central Java | Kabupaten Banyumas | -7.61667 | 109.39 | 0 | Asia/Jakarta | populated place | |
| 6915939 | Wiramosoko | Wiramosoko | ID | Southeast Sulawesi | Kabupaten Konawe | -3.9196 | 122.105 | 0 | Asia/Makassar | populated place | |
| 6605755 | Sukabandung | Sukabandung | ID | West Java | -6.30306 | 106.45389 | 0 | Asia/Jakarta | populated place | ||
| 6200706 | Bendo | ID | Central Java | Kabupaten Temanggung | -7.32278 | 110.19 | 0 | Asia/Jakarta | populated place | ||
| 8434363 | Jongger | Jongger | ID | East Nusa Tenggara | Kabupaten Sikka | -8.299 | 121.7298 | 0 | Asia/Makassar | populated place | |
| 6390662 | Sambiasa | Sambiasa | ID | Central Java | Kabupaten Purbalingga | -7.32278 | 109.305 | 0 | Asia/Jakarta | populated place | |
| 8018022 | Leuwiseeng | Leuwiseeng | ID | West Java | Kabupaten Tasikmalaya | -7.3432 | 108.0961 | 0 | Asia/Jakarta | populated place | |
| 7781155 | Panggilingan | Panggilingan | ID | Banten | Kabupaten Pandeglang | -6.3134 | 105.9627 | 0 | Asia/Jakarta | populated place | |
| 6597668 | Kaumpandak Satu | Kaumpandak 1,Kaumpandak Satu | ID | West Java | Kabupaten Bogor | -6.52222 | 106.80417 | 0 | Asia/Jakarta | populated place | |
| 7058581 | Lawi | Lawi | ID | East Nusa Tenggara | Kabupaten Manggarai Barat | -8.5455 | 120.3512 | 0 | Asia/Makassar | populated place | |
| 1962191 | Cikupa | Cikuda,Cikupa,Tjikuda | ID | West Java | Kabupaten Bandung Barat | -6.99389 | 107.28 | 0 | Asia/Jakarta | populated place | |
| 7609182 | Tamendale | Tamendale | ID | South Sulawesi | Kabupaten Enrekang | -3.489 | 119.863 | 0 | Asia/Makassar | populated place | |
| 6840828 | Sorok | Sorok | ID | East Java | Kabupaten Pamekasan | -7.224 | 113.4941 | 0 | Asia/Jakarta | populated place | |
| 1938346 | Nunhala | ID | East Nusa Tenggara | Kabupaten Timor Tengah Utara | -9.37167 | 124.75389 | 0 | Asia/Makassar | populated place | ||
| 6782213 | Deket | Deket | ID | East Java | Kabupaten Lamongan | -7.1992 | 112.2764 | 0 | Asia/Jakarta | populated place | |
| 7666494 | Korongrejo | Korongrejo | ID | Lampung | Kabupaten Pesawaran | -5.33894 | 105.08352 | 0 | Asia/Jakarta | populated place | |
| 6405299 | Susuhan | Susuhan | ID | East Java | Kabupaten Pacitan | -8.0475 | 111.16028 | 0 | Asia/Jakarta | populated place | |
| 6755543 | Beringinindah | Beringinindah | ID | North Sulawesi | Kota Manado | 1.4857 | 124.8642 | 0 | Asia/Makassar | populated place | |
| 6386937 | Ngepoh | Ngepoh | ID | East Java | Kabupaten Pacitan | -8.10444 | 111.04722 | 0 | Asia/Jakarta | populated place | |
| 6591750 | Cikereti | Cikereti | ID | West Java | Kabupaten Bandung Barat | -6.91167 | 107.36917 | 0 | Asia/Jakarta | populated place | |
| 6791487 | Genjah | Genjah | ID | Central Java | Kabupaten Pekalongan | -7.068 | 109.689 | 0 | Asia/Jakarta | populated place | |
| 6837922 | Jlopo | Jlopo | ID | East Java | Kabupaten Mojokerto | -7.5627 | 112.5791 | 0 | Asia/Jakarta | populated place | |
| 7589091 | Tassalilu | Tassalilu | ID | South Sulawesi | Kabupaten Pinrang | -3.9781 | 119.6102 | 0 | Asia/Makassar | populated place | |
| 6411229 | Cangkring | Cangkring | ID | Central Java | Kabupaten Grobogan | -7.12944 | 110.93667 | 0 | Asia/Jakarta | populated place | |
| 6838649 | Sumur | Sumur | ID | East Java | Kabupaten Probolinggo | -7.8719 | 113.1831 | 0 | Asia/Jakarta | populated place | |
| 6585050 | Cipulus | Cipulus | ID | West Java | Kabupaten Bandung Barat | -6.80111 | 107.41944 | 0 | Asia/Jakarta | populated place | |
| 6751759 | Saukang | Saukang | ID | South Sulawesi | Kabupaten Sinjai | -5.2315 | 120.0863 | 0 | Asia/Makassar | populated place | |
| 6983667 | Tatarandang | Tatarandang | ID | Central Sulawesi | Kabupaten Banggai Kepulauan | -1.5372 | 122.8887 | 0 | Asia/Makassar | populated place | |
| 6565741 | Krajan | Krajan | ID | Central Java | Kabupaten Purworejo | -7.66444 | 109.83528 | 0 | Asia/Jakarta | populated place | |
| 2011178 | Sejaran | ID | Yogyakarta | Kabupaten Kulon Progo | -7.82833 | 110.15222 | 0 | Asia/Jakarta | populated place | ||
| 8021065 | Cinyuncung | Cinyuncung | ID | West Java | Kabupaten Tasikmalaya | -7.7363 | 108.2268 | 0 | Asia/Jakarta | populated place | |
| 1972812 | Gunung | Gunung,Gunungbantal | ID | Central Java | Kabupaten Semarang | -7.23389 | 110.62056 | 0 | Asia/Jakarta | populated place | |
| 6726486 | Sirait | Sirait | ID | North Sumatra | Kabupaten Toba Samosir | 2.4639 | 99.1409 | 0 | Asia/Jakarta | populated place | |
| 6603839 | Cikupa | Cikupa | ID | West Java | Kabupaten Sukabumi | -6.79361 | 106.72583 | 0 | Asia/Jakarta | populated place | |
| 6590105 | Pasiroray | Pasiroray | ID | West Java | Kabupaten Cianjur | -6.67111 | 107.20694 | 0 | Asia/Jakarta | populated place | |
| 8527664 | Jumako | Jumako | ID | Highland Papua | Kabupaten Pegunungan Bintang | -4.80466 | 140.58706 | 0 | Asia/Jayapura | populated place | |
| 6753311 | Sukaupih | Sukaupih | ID | Banten | Kabupaten Pandeglang | -6.2647 | 106.1311 | 0 | Asia/Jakarta | populated place | |
| 6778530 | Jajangan | Jajangan | ID | East Java | Kabupaten Probolinggo | -7.94 | 113.1304 | 0 | Asia/Jakarta | populated place | |
| 1934868 | Duwetan | ID | Central Java | Kabupaten Karanganyar | -7.66056 | 110.97722 | 0 | Asia/Jakarta | populated place | ||
| 6812386 | Wijahan | Wijahan | ID | Central Java | Kabupaten Brebes | -6.9897 | 108.9846 | 0 | Asia/Jakarta | populated place | |
| 8018321 | Cijati | Cijati,Tjidjati | ID | West Java | Kabupaten Garut | -7.0479 | 108.0488 | 0 | Asia/Jakarta | populated place | |
| 6996606 | Mosolo | Mosolo | ID | Southeast Sulawesi | Kabupaten Konawe Kepulauan | -4.2108 | 123.1633 | 0 | Asia/Makassar | populated place | |
| 8046193 | Cikareo | Cikareo | ID | West Java | Kota Tasikmalaya | -7.3393 | 108.2599 | 0 | Asia/Jakarta | populated place | |
| 6881747 | Tanggel | Tanggel | ID | Central Java | Kabupaten Pati | -6.7959 | 111.1128 | 0 | Asia/Jakarta | populated place | |
| 7035231 | Rejoketon | Rejoketon | ID | East Java | Kabupaten Blitar | -8.0286 | 112.2807 | 0 | Asia/Jakarta | populated place | |
| 6702388 | Kampung Manggis | Kampung Manggis,Manggis 1 | ID | North Sumatra | Kabupaten Serdang Bedagai | 3.3521 | 99.2548 | 0 | Asia/Jakarta | populated place | |
| 8363248 | Umbulan Picada | Umbulan Picada | ID | Lampung | Kabupaten Way Kanan | -4.40037 | 104.94476 | 0 | Asia/Jakarta | populated place | |
| 8420929 | Yatama | Yatama | ID | East Nusa Tenggara | Kabupaten Alor | -8.2761 | 124.6318 | 0 | Asia/Makassar | populated place | |
| 6567989 | Cipeuris Dua | Cipeuris Dua,Cipeuris II | ID | West Java | Kabupaten Subang | -6.60639 | 107.77417 | 0 | Asia/Jakarta | populated place | |
| 1636403 | Manggung Kidul | Manggung,Manggung Kidul | ID | Central Java | Kabupaten Boyolali | -7.49861 | 110.77889 | 0 | Asia/Jakarta | populated place | |
| 6882504 | Ngembes | Ngembes | ID | East Java | Kabupaten Lamongan | -7.236 | 112.1735 | 0 | Asia/Jakarta | populated place | |
| 1625642 | Tafaga | Tafaga | ID | North Maluku | Kota Ternate | 0.44355 | 127.43231 | 0 | Asia/Jayapura | populated place | |
| 1641660 | Kampunggunung | Kampoenggoenoeng,Kampoenggoenoeng 2,Kampoenggoenoeng 3,Kampoenggoenoeng 4,Kampunggunung,Kampunggunung Dua | ID | Banten | Kota Tangerang Selatan | -6.3086 | 106.7696 | 0 | Asia/Jakarta | populated place | |
| 7376166 | Banjar Dasong | Banjar Dasong | ID | Bali | Kabupaten Gianyar | -8.4225 | 115.2574 | 0 | Asia/Makassar | populated place | |
| 7036525 | Gundik | Gundik | ID | East Java | Kabupaten Lamongan | -7.0417 | 112.4202 | 0 | Asia/Jakarta | populated place | |
| 6743345 | Tombolo | Tombolo | ID | South Sulawesi | Kabupaten Bantaeng | -5.51401 | 120.03543 | 0 | Asia/Makassar | populated place | |
| 6255659 | Sidorejotati | ID | Central Java | Kabupaten Wonogiri | -7.97444 | 110.90944 | 0 | Asia/Jakarta | populated place | ||
| 6889748 | Kedungperahu | Kedungperahu | ID | Central Java | Kabupaten Blora | -6.9259 | 111.1474 | 0 | Asia/Jakarta | populated place | |
| 6724551 | Balai Jaring | Balai Jaring,Balaidjaring | ID | Riau | Kabupaten Kampar | 0.3818 | 101.0849 | 0 | Asia/Jakarta | populated place | |
| 7035876 | Rawagi | Rawagi | ID | East Java | Kabupaten Bojonegoro | -7.1401 | 111.6129 | 0 | Asia/Jakarta | populated place | |
| 6865438 | Simo | Simo | ID | East Java | Kabupaten Tuban | -7.13072 | 111.93146 | 0 | Asia/Jakarta | populated place | |
| 1934085 | Gabangan | ID | Central Java | Kabupaten Sukoharjo | -7.635 | 110.78444 | 0 | Asia/Jakarta | populated place | ||
| 6408597 | Baca | Baca | ID | East Java | Kabupaten Ngawi | -7.51833 | 111.15861 | 0 | Asia/Jakarta | populated place | |
| 8314900 | Watubawang | Watubawang | ID | East Java | Kabupaten Trenggalek | -8.2039 | 111.5671 | 0 | Asia/Jakarta | populated place | |
| 7053899 | Tempurejo | Tempurejo | ID | East Java | Kabupaten Banyuwangi | -8.4585 | 114.1851 | 0 | Asia/Jakarta | populated place | |
| 6836040 | Segodorejo | Segodorejo | ID | East Java | Kabupaten Jombang | -7.5248 | 112.3303 | 0 | Asia/Jakarta | populated place | |
| 6725857 | Parsibahulan | Parsibahulan | ID | North Sumatra | Kabupaten Simalungun | 3.0465 | 98.7292 | 0 | Asia/Jakarta | populated place | |
| 6585167 | Ciseureuh | Ciseureuh | ID | West Java | Kabupaten Bandung Barat | -6.83778 | 107.44278 | 0 | Asia/Jakarta | populated place | |
| 8060970 | Seren Timur | Seren Timur | ID | Central Java | Kabupaten Rembang | -6.7572 | 111.3365 | 0 | Asia/Jakarta | populated place | |
| 8076325 | Pakiringan Kulon | Pakiringan Kulon | ID | Central Java | Kabupaten Cilacap | -7.2556 | 108.82 | 0 | Asia/Jakarta | populated place | |
| 7863426 | Umbulalirahman | Umbulalirahman | ID | Lampung | Kabupaten Lampung Tengah | -5.09538 | 104.64879 | 0 | Asia/Jakarta | populated place | |
| 7564250 | Galang | Galang | ID | East Nusa Tenggara | Kabupaten Manggarai Barat | -8.649 | 120.0284 | 0 | Asia/Makassar | populated place | |
| 6388547 | Kalitapen | Kalitapen | ID | Central Java | Kabupaten Banyumas | -7.46278 | 109.10694 | 0 | Asia/Jakarta | populated place | |
| 12197153 | Watgalih Utara | ID | Central Java | Kabupaten Pemalang | -6.91848 | 109.41633 | 0 | Asia/Jakarta | populated place | ||
| 6388814 | Kalimanggis Selatan | Kalimanggis Selatan | ID | Central Java | Kabupaten Banyumas | -7.40611 | 109.13861 | 0 | Asia/Jakarta | populated place | |
| 2011908 | Setran | ID | Yogyakarta | Kabupaten Sleman | -7.76639 | 110.23278 | 0 | Asia/Jakarta | populated place | ||
| 6583451 | Cisalak | Cisalak | ID | West Java | Kabupaten Bandung Barat | -6.84056 | 107.50028 | 0 | Asia/Jakarta | populated place | |
| 6701332 | Kutabatu | Kutabatu | ID | North Sumatra | Kabupaten Deli Serdang | 3.3897 | 98.5457 | 0 | Asia/Jakarta | populated place | |
| 1935198 | Gondangselamat | ID | Central Java | Kabupaten Sragen | -7.51111 | 110.97222 | 0 | Asia/Jakarta | populated place | ||
| 7743629 | Baru Siambaton | Baru Siambaton | ID | North Sumatra | Kabupaten Simalungun | 2.83 | 98.787 | 0 | Asia/Jakarta | populated place | |
| 1970135 | Gilih | Gili-barat,Gilih | ID | East Java | Kabupaten Bangkalan | -7.1488 | 112.7013 | 0 | Asia/Jakarta | populated place | |
| 7409590 | Patek | Patek | ID | East Java | Kabupaten Situbondo | -7.7037 | 114.0856 | 0 | Asia/Jakarta | populated place | |
| 7085962 | Buwuh | Buwuh | ID | West Nusa Tenggara | Kabupaten Lombok Tengah | -8.7035 | 116.3257 | 0 | Asia/Makassar | populated place | |
| 6780771 | Pule | Pule | ID | East Java | Kabupaten Trenggalek | -7.975 | 111.7062 | 0 | Asia/Jakarta | populated place | |
| 6404838 | Jlamprang | Jlamprang | ID | East Java | Kabupaten Pacitan | -8.12417 | 110.91194 | 0 | Asia/Jakarta | populated place | |
| 7385705 | Asa | Asa | ID | South Sulawesi | Kabupaten Tana Toraja | -3.037 | 119.8257 | 0 | Asia/Makassar | populated place | |
| 1990353 | Samoja | ID | West Java | -6.21667 | 106.30778 | 0 | Asia/Jakarta | populated place | |||
| 7545185 | Solong | Solong | ID | East Java | Kabupaten Banyuwangi | -8.1839 | 114.3807 | 0 | Asia/Jakarta | populated place | |
| 6827837 | Jambean Kidul | Jambean Kidul | ID | Central Java | Kabupaten Jepara | -6.5766 | 110.7057 | 0 | Asia/Jakarta | populated place | |
| 1965698 | Sagalaherang | Sagalaherang,Sagataherang | ID | West Java | Kabupaten Bandung | -7.01972 | 107.72917 | 0 | Asia/Jakarta | populated place | |
| 8391567 | Nekmates | Nekmates | ID | East Nusa Tenggara | Kabupaten Kupang | -10.32907 | 123.71736 | 0 | Asia/Makassar | populated place |
Indonesia: Charting the Archipelago with Precision and Passion
An Archipelago of Infinite Stories
Indonesia is not merely a country—it is a breathtaking expanse of over 17,000 islands scattered like emeralds across the equator. From Sumatra to Papua, Java to Sulawesi, each island offers a unique geographical narrative that demands documentation, understanding, and admiration. For a geographer, Indonesia represents both a challenge and a calling: how can one capture the complexity of such a vast and fragmented territory without losing sight of the local depth?
This is where my curated dataset becomes essential—a powerful resource designed to organize and present city-level information across the Indonesian archipelago. Every city is catalogued with its corresponding province and regency, and accompanied by its precise latitude and longitude. But more than just a static repository, this database is a living tool, available in various formats—most notably Excel (.xlsx), recently added in response to growing demand.
Decoding Indonesia Through Its Administrative Layers
Indonesia’s administrative structure is a layered reflection of its diversity. It comprises 38 provinces, which further divide into regencies (kabupaten) and cities (kota). These subdivisions are more than bureaucratic segments—they are the framework upon which Indonesia’s social, cultural, and economic life is built.
My dataset respects and reflects this structure in full. Each city entry is matched with its regional and departmental affiliations, allowing researchers and analysts to work with data that is both granular and structured. Whether you are studying regional development, migration trends, or climate vulnerability, such context is indispensable.
Latitude, Longitude, and the Power of Geospatial Clarity
Without accurate geographic coordinates, our understanding of Indonesia would remain two-dimensional. In a nation defined by coastlines, volcanoes, and rainforests, location is everything. The inclusion of latitude and longitude for each city ensures a geospatial framework that supports visualization, mapping, and even AI-driven modeling.
But this geospatial detail is only as powerful as the format in which it’s presented.
Excel: Unlocking Accessibility and Functionality
While the dataset is available in CSV, SQL, JSON, and XML formats, the introduction of Excel (.xlsx) marks a pivotal improvement in usability. Excel offers a balance of simplicity and power—it is accessible to those outside the realm of hardcore data science, yet flexible enough for advanced sorting, filtering, and pivot analysis.
Each Excel file in this collection is meticulously structured: city names, provinces, regencies, and GPS coordinates, all aligned in clean columns. Analysts can immediately begin working with the data—no conversions, no formatting hurdles, just instant clarity. Whether you’re running a feasibility study for infrastructure development in Kalimantan or tracing urban expansion in Bali, Excel is the ideal launchpad.
Formats for Every Environment
In addition to Excel, the dataset is packaged in machine-readable formats like JSON and XML, ideal for developers building applications or visual dashboards. SQL is available for integration into geographic databases, while CSV serves as a universal option for light data work or quick analysis. Consistency across these formats guarantees that no matter your workflow, the data is dependable, complete, and ready to deploy.
A Strategic Asset for the Future of Indonesia
Indonesia’s trajectory is one of rapid urbanization, shifting coastlines, and rising economic ambitions. Understanding where cities are—and how they relate to administrative zones—is critical to planning everything from logistics routes to disaster relief systems. This is why data matters more than ever.
My database is not just a geographic tool—it’s an invitation to approach Indonesia with the precision it deserves. It helps researchers connect the macro patterns with micro realities, policy-makers to act with clarity, and entrepreneurs to discover overlooked growth centers.
Conclusion: Where Passion Meets Precision
To chart Indonesia is to embrace complexity with discipline and wonder. With this new data offering—now including Excel format alongside CSV, SQL, JSON, and XML—I offer not just a dataset, but a foundation for deeper understanding. Indonesia’s geography is not static. It’s a living, breathing entity. And with the right tools, we can finally map it in a way that does justice to its richness.
