South Sudan Cities with Latitude & Longitude â Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here youâll find a curated sample of 100 key cities from South Sudan, 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 5224 geographic locations across South Sudan.
Whether youâre 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 South Sudan is Juba.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 7429987 | Ninaker | SS | Lakes | 6.73793 | 29.94981 | 0 | Africa/Juba | populated place | |||
| 369800 | Mugiri | SS | Central Equatoria | 4.93773 | 30.96777 | 0 | Africa/Juba | populated place | |||
| 8617642 | Boro Medina | SS | Western Bahr al Ghazal | 8.46359 | 24.80164 | 0 | Africa/Juba | populated place | |||
| 8060833 | Rum Achol | SS | Warrap | 8.81552 | 28.06841 | 0 | Africa/Juba | populated place | |||
| 382353 | Ukuk | SS | Eastern Equatoria | 4.09289 | 33.13416 | 0 | Africa/Juba | populated place | |||
| 371118 | Lual | SS | Upper Nile | 8.53011 | 33.12032 | 0 | Africa/Juba | populated place | |||
| 377848 | Balagat | SS | Upper Nile | 10.23561 | 32.68242 | 0 | Africa/Juba | populated place | |||
| 381341 | Moru-Keris | SS | Eastern Equatoria | 4.81093 | 33.62632 | 0 | Africa/Juba | populated place | |||
| 371838 | Kuriju | SS | Central Equatoria | 3.89892 | 31.55222 | 0 | Africa/Juba | populated place | |||
| 368664 | Pabair | SS | Unity | 7.32062 | 30.39313 | 0 | Africa/Juba | populated place | |||
| 377415 | Biim | SS | Upper Nile | 8.44341 | 32.96437 | 0 | Africa/Juba | populated place | |||
| 8034228 | Inkulya | SS | Central Equatoria | 4.14947 | 30.8972 | 0 | Africa/Juba | populated place | |||
| 363931 | War Bok | SS | Warrap | 8.0546 | 29.42881 | 0 | Africa/Juba | populated place | |||
| 365474 | Ueli | Ueli,Woli | SS | Central Equatoria | 4.49422 | 31.02715 | 0 | Africa/Juba | populated place | ||
| 378294 | Es Siâda | As Si`da,As Siâda,Es Si`da,Es Siâda | SS | Upper Nile | 10.53711 | 33.34518 | 0 | Africa/Juba | populated place | ||
| 381795 | Fakwar | SS | Jonglei | 9.30222 | 31.39139 | 0 | Africa/Juba | populated place | |||
| 8142978 | Alilo | SS | Central Equatoria | 3.89155 | 31.66607 | 0 | Africa/Juba | populated place | |||
| 8046920 | Senaeiri | SS | Western Bahr al Ghazal | 10.04427 | 25.04751 | 0 | Africa/Juba | populated place | |||
| 7431849 | Dipur | SS | Lakes | 6.47505 | 30.11326 | 0 | Africa/Juba | populated place | |||
| 365972 | Tinechor | SS | Lakes | 6.76045 | 30.85711 | 0 | Africa/Juba | populated place | |||
| 382148 | Atet | SS | Jonglei | 6.26306 | 31.7325 | 0 | Africa/Juba | populated place | |||
| 7428402 | Mabil | SS | Northern Bahr al Ghazal | 9.16188 | 28.04754 | 0 | Africa/Juba | populated place | |||
| 7431132 | Gailual | SS | Lakes | 6.81669 | 30.21413 | 0 | Africa/Juba | populated place | |||
| 8060838 | Nila | Nila,ĐиНа | SS | Upper Nile | 10.10794 | 33.82486 | 0 | Africa/Juba | populated place | ||
| 8067618 | Aker Weng | SS | Upper Nile | 10.35749 | 32.55037 | 0 | Africa/Juba | populated place | |||
| 369936 | Mogiri | SS | Central Equatoria | 4.84767 | 31.86071 | 0 | Africa/Juba | populated place | |||
| 381919 | Pamdit | SS | Lakes | 7.01998 | 30.08307 | 0 | Africa/Juba | populated place | |||
| 368531 | Boko | Boko,Poko | SS | Central Equatoria | 5.64544 | 31.82545 | 0 | Africa/Juba | populated place | ||
| 7430797 | Abudbul | SS | Northern Bahr al Ghazal | 8.9725 | 28.07309 | 0 | Africa/Juba | populated place | |||
| 373630 | Idali | SS | Eastern Equatoria | 4.70946 | 32.73906 | 0 | Africa/Juba | populated place | |||
| 8061407 | Laich | SS | Warrap | 8.31321 | 28.29389 | 0 | Africa/Juba | populated place | |||
| 371466 | Leer | Leer,Ler,Lir,LÄŤr | SS | Unity | 8.30306 | 30.14056 | 17827 | Africa/Juba | populated place | ||
| 372359 | Kirongen | SS | Eastern Equatoria | 4.40931 | 33.45495 | 0 | Africa/Juba | populated place | |||
| 8073285 | El Watish | SS | Upper Nile | 10.28716 | 33.70826 | 0 | Africa/Juba | populated place | |||
| 366856 | Sindiru | SS | Central Equatoria | 4.45763 | 31.61583 | 0 | Africa/Juba | populated place | |||
| 371352 | Lobetang | SS | Eastern Equatoria | 4.29918 | 33.69282 | 0 | Africa/Juba | populated place | |||
| 381203 | Abang | SS | Western Bahr al Ghazal | 7.62472 | 28.03186 | 0 | Africa/Juba | populated place | |||
| 369182 | Nibong | SS | Western Bahr al Ghazal | 7.70943 | 28.21524 | 0 | Africa/Juba | populated place | |||
| 371493 | Legeri | SS | Central Equatoria | 5.31006 | 31.80905 | 0 | Africa/Juba | populated place | |||
| 374503 | Gwiljak | SS | Upper Nile | 9.05723 | 32.84109 | 0 | Africa/Juba | populated place | |||
| 369012 | Nyaitok | SS | Upper Nile | 9.71187 | 32.31591 | 0 | Africa/Juba | populated place | |||
| 378034 | Ayom | SS | Warrap | 7.86185 | 28.39002 | 0 | Africa/Juba | populated place | |||
| 8595442 | Lair | SS | Jonglei | 6.88925 | 34.42589 | 0 | Africa/Juba | populated place | |||
| 372708 | Kau | SS | Jonglei | 9.25947 | 30.64559 | 0 | Africa/Juba | populated place | |||
| 381829 | Wunajok | SS | Jonglei | 9.15762 | 31.69866 | 0 | Africa/Juba | populated place | |||
| 372274 | Kokfiat | SS | Upper Nile | 9.33008 | 31.88413 | 0 | Africa/Juba | populated place | |||
| 377280 | Boing | SS | Upper Nile | 9.95861 | 33.71475 | 0 | Africa/Juba | populated place | |||
| 366097 | Thiam | SS | Jonglei | 7.78998 | 31.78052 | 0 | Africa/Juba | populated place | |||
| 8067616 | Mbako | SS | Upper Nile | 10.30318 | 32.65567 | 0 | Africa/Juba | populated place | |||
| 363778 | Wokoi | SS | Central Equatoria | 3.86072 | 31.52203 | 0 | Africa/Juba | populated place | |||
| 7435861 | Nyadri | SS | Western Equatoria | 5.10735 | 30.35328 | 0 | Africa/Juba | populated place | |||
| 8376097 | Uriang | SS | Upper Nile | 8.58221 | 33.82613 | 0 | Africa/Juba | populated place | |||
| 368642 | Pagwar | Pagvar,Pagwar | SS | Upper Nile | 8.69552 | 32.78019 | 0 | Africa/Juba | populated place | ||
| 7416413 | Ashut | SS | Northern Bahr al Ghazal | 9.13772 | 28.02528 | 0 | Africa/Juba | populated place | |||
| 8047324 | Shalob | SS | Western Bahr al Ghazal | 10.32661 | 25.22597 | 0 | Africa/Juba | populated place | |||
| 371592 | Lalanga | SS | Eastern Equatoria | 4.58824 | 32.90722 | 0 | Africa/Juba | populated place | |||
| 376957 | Chief Majok Makwoich | SS | Western Bahr al Ghazal | 7.89277 | 27.97696 | 0 | Africa/Juba | populated place | |||
| 372136 | Kornuk | SS | Western Bahr al Ghazal | 7.85908 | 28.15947 | 0 | Africa/Juba | populated place | |||
| 7430871 | Bolich | SS | Warrap | 8.6906 | 28.01999 | 0 | Africa/Juba | populated place | |||
| 382551 | Kobogi | SS | Central Equatoria | 4.54374 | 32.10194 | 0 | Africa/Juba | populated place | |||
| 377837 | Bale | SS | Central Equatoria | 4.64512 | 31.39695 | 0 | Africa/Juba | populated place | |||
| 374502 | Gwir | SS | Upper Nile | 8.61848 | 33.74267 | 0 | Africa/Juba | populated place | |||
| 8181572 | Riang | SS | Jonglei | 8.51132 | 31.86419 | 0 | Africa/Juba | populated place | |||
| 373539 | Indura | SS | Central Equatoria | 4.91824 | 31.46862 | 0 | Africa/Juba | populated place | |||
| 381282 | Nagasi | SS | Western Equatoria | 4.92194 | 28.03194 | 0 | Africa/Juba | populated place | |||
| 381827 | Nyijok | Nijok,Nyijok | SS | Upper Nile | 9.31545 | 31.81948 | 0 | Africa/Juba | populated place | ||
| 369272 | Nek | SS | Unity | 8.241 | 30.27346 | 0 | Africa/Juba | populated place | |||
| 370950 | Mading | SS | Warrap | 8.57644 | 27.9477 | 0 | Africa/Juba | populated place | |||
| 365437 | Ulako | SS | Eastern Equatoria | 3.84605 | 31.82704 | 0 | Africa/Juba | populated place | |||
| 369625 | Murusu | SS | Central Equatoria | 4.06444 | 30.71167 | 0 | Africa/Juba | populated place | |||
| 373130 | Kafia Kingi | Kafia Kingi,Kafiya Kinji,kafya knjy,ŮاŮŮا ŮŮŘŹŮ | SS | Western Bahr al Ghazal | 9.27345 | 24.41701 | 16000 | Africa/Juba | populated place | ||
| 372760 | Kashwal | SS | Warrap | 7.94527 | 29.1707 | 0 | Africa/Juba | populated place | |||
| 369540 | Nabakin | SS | Eastern Equatoria | 4.07139 | 32.88498 | 0 | Africa/Juba | populated place | |||
| 7431099 | Akoi | SS | Warrap | 8.45876 | 28.06232 | 0 | Africa/Juba | populated place | |||
| 8058447 | Kwe | SS | Upper Nile | 9.08807 | 32.20164 | 0 | Africa/Juba | populated place | |||
| 364403 | Uriang | SS | Upper Nile | 10.616 | 32.17765 | 0 | Africa/Juba | populated place | |||
| 372094 | Kot | SS | Unity | 8.63643 | 29.96787 | 0 | Africa/Juba | populated place | |||
| 381781 | Abu Tong | SS | Upper Nile | 9.45225 | 31.14168 | 0 | Africa/Juba | populated place | |||
| 381716 | Toich | Toich,Toych | SS | Jonglei | 8.95635 | 30.70814 | 0 | Africa/Juba | populated place | ||
| 369338 | Nathithi | SS | Eastern Equatoria | 4.23288 | 33.49443 | 0 | Africa/Juba | populated place | |||
| 363701 | Wun Liyu | SS | Warrap | 8.9209 | 28.34964 | 0 | Africa/Juba | populated place | |||
| 372200 | Kongettit | SS | Jonglei | 7.45813 | 32.81488 | 0 | Africa/Juba | populated place | |||
| 371112 | Luarogh | SS | Eastern Equatoria | 5.06804 | 33.73752 | 0 | Africa/Juba | populated place | |||
| 8058753 | Mir | SS | Warrap | 8.96244 | 28.56393 | 0 | Africa/Juba | populated place | |||
| 8377109 | Boknyat | SS | Upper Nile | 8.67851 | 33.33082 | 0 | Africa/Juba | populated place | |||
| 374265 | Halima | Halima,Halimah,Ḩalčmah | SS | Western Bahr al Ghazal | 7.57387 | 27.88889 | 0 | Africa/Juba | populated place | ||
| 7430945 | Gow | SS | Warrap | 8.70747 | 27.7077 | 0 | Africa/Juba | populated place | |||
| 375542 | Fan Makeir | SS | Warrap | 8.68558 | 28.59821 | 0 | Africa/Juba | populated place | |||
| 8058842 | Dak | SS | Warrap | 8.12122 | 28.59483 | 0 | Africa/Juba | populated place | |||
| 7430776 | Meding | SS | Lakes | 6.60873 | 29.77577 | 0 | Africa/Juba | populated place | |||
| 369339 | Nathilani | SS | Eastern Equatoria | 4.34007 | 33.67465 | 0 | Africa/Juba | populated place | |||
| 368982 | Nyang | SS | Warrap | 8.92741 | 28.74964 | 0 | Africa/Juba | populated place | |||
| 370388 | Mashar | SS | Warrap | 8.12113 | 28.86753 | 0 | Africa/Juba | populated place | |||
| 8067690 | Umm Qursein | SS | Upper Nile | 10.7868 | 32.37192 | 0 | Africa/Juba | populated place | |||
| 363682 | Wuthoing | SS | Unity | 9.01008 | 29.82557 | 0 | Africa/Juba | populated place | |||
| 371424 | Liga | Inga,Liga | SS | Central Equatoria | 4.3 | 30.06667 | 0 | Africa/Juba | populated place | ||
| 382250 | Sabun | SS | Western Equatoria | 4.53611 | 29.25778 | 0 | Africa/Juba | populated place | |||
| 377697 | Baranga | SS | Central Equatoria | 4.18889 | 30.57139 | 0 | Africa/Juba | populated place | |||
| 372182 | Kopera | Kopeara,Kopera | SS | Central Equatoria | 4.13778 | 30.95333 | 0 | Africa/Juba | populated place | ||
| 7430937 | Lam | SS | Lakes | 6.38192 | 29.90033 | 0 | Africa/Juba | populated place |
South Sudan: A Geographerâs Passionate Exploration of a Young Nationâs Landscape
The Birth of a Nation Amidst Vast and Varied Terrain
South Sudan, the worldâs youngest country, presents a landscape as vast and dynamic as its ongoing journey toward stability and growth. From sprawling savannas and wetlands to winding rivers and scattered urban centers, its geography deeply shapes the cultural and economic life of its people. For a geographer, understanding South Sudan means more than observing physical featuresâit demands precise, comprehensive data linking every town and city to its administrative regions and counties, alongside accurate latitude and longitude coordinates.
Administrative Layers: Regions and Counties
South Sudanâs governance is organized through states and counties, each playing a critical role in local administration, development planning, and service delivery. These divisions are vital to grasp the countryâs spatial framework and to facilitate targeted interventions.
The dataset I provide thoroughly catalogs all populated places in South Sudan, classified by state and county, offering a clear structure for geographic and socio-economic analyses.
Latitude and Longitude: Mapping the Nationâs Pulse
In a country marked by often challenging terrain and dispersed settlements, exact geographic coordinates are essential. This dataset includes verified latitude and longitude for every city and town, enabling their precise placement on maps and integration into Geographic Information Systems (GIS), which are vital for planning, humanitarian aid, and infrastructure development.
This accuracy transforms place names into concrete geographic entities ready for detailed study and practical use.
Excel: A User-Friendly Gateway to Geographic Knowledge
While the dataset is also available in CSV, SQL, JSON, and XML formats, the inclusion of Excel (.xlsx) enhances accessibility dramatically. Excelâs familiar interface allows a wide range of usersâplanners, researchers, government officialsâto manipulate, analyze, and extract insights from geographic data without requiring advanced GIS skills.
The Excel file is designed with clear headers and uniform formatting, making it an immediate asset for decision-makers and analysts alike.
Contents of the Dataset
* Comprehensive listing of all cities and towns in South Sudan
* Classification by state and county
* Verified latitude and longitude coordinates
* Available in Excel (.xlsx), CSV, SQL, JSON, and XML formats
The Importance of Reliable Geographic Data for South Sudan
As South Sudan confronts development challenges and pursues peace and prosperity, accurate geographic information is crucial. Understanding the exact locations of settlements and administrative boundaries supports effective governance, disaster response, and infrastructure rollout.
This dataset offers a vital resource to guide these efforts with clarity and precision.
Charting South Sudanâs Geographic Identity
South Sudanâs geography is a testament to resilience and hope, from the vibrant towns along the White Nile to remote communities in vast wetlands. Each location contributes to the countryâs unfolding spatial narrative.
With this dataset, especially its practical Excel format, South Sudanâs geography becomes an essential toolâready to empower sustainable development and informed policymaking across this emerging nation.
