South Sudan cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 5224 cities in the South Sudan 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 South Sudan 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
370321 | Mawel | SS | Jonglei | 6.59705 | 32.92028 | 0 | Africa/Juba | populated place | |||
368246 | Raja | Raga,Ragaa,Raja | SS | Western Bahr al Ghazal | 8.4675 | 25.67833 | 3700 | Africa/Juba | populated place | ||
378209 | Atitwi | SS | Lakes | 6.64739 | 30.99937 | 0 | Africa/Juba | populated place | |||
7431839 | Pathiai | SS | Lakes | 6.68452 | 31.22762 | 0 | Africa/Juba | populated place | |||
7430675 | Adaltik | SS | Warrap | 8.85114 | 27.65821 | 0 | Africa/Juba | populated place | |||
379716 | El Amin | Al Amin,Al Amīn,Ban Yako,El Amin | SS | Upper Nile | 10.4948 | 33.13 | 0 | Africa/Juba | populated place | ||
382153 | Ainyadi | Ainyadi,Aynyadi | SS | Jonglei | 6.18049 | 31.81252 | 0 | Africa/Juba | populated place | ||
365474 | Ueli | Ueli,Woli | SS | Central Equatoria | 4.49422 | 31.02715 | 0 | Africa/Juba | populated place | ||
382021 | Muot | SS | Lakes | 7.12351 | 30.71992 | 0 | Africa/Juba | populated place | |||
8031349 | Ayok | SS | Lakes | 6.84802 | 31.0651 | 0 | Africa/Juba | populated place | |||
369417 | Namalat | SS | Unity | 9.70899 | 29.91602 | 0 | Africa/Juba | populated place | |||
10123280 | Oriny | SS | Upper Nile | 9.86673 | 31.89042 | 0 | Africa/Juba | populated place | |||
7435833 | Niapiri | SS | Western Equatoria | 5.24929 | 30.38055 | 0 | Africa/Juba | populated place | |||
371097 | Ludwera | SS | Eastern Equatoria | 3.81547 | 33.41856 | 0 | Africa/Juba | populated place | |||
377215 | Both | SS | Upper Nile | 9.66648 | 31.821 | 0 | Africa/Juba | populated place | |||
369246 | Ngamando | Ngamanda,Ngamando | SS | Western Equatoria | 4.76667 | 29.62917 | 0 | Africa/Juba | populated place | ||
8147130 | Bango | SS | Western Bahr al Ghazal | 9.30521 | 24.48264 | 0 | Africa/Juba | populated place | |||
381370 | Nopotit | Napotit,Nopotit | SS | Eastern Equatoria | 4.86739 | 33.52379 | 0 | Africa/Juba | populated place | ||
382158 | Awau | SS | Lakes | 6.07765 | 31.51027 | 0 | Africa/Juba | populated place | |||
8149266 | Rol Ngwut | SS | Northern Bahr al Ghazal | 9.19945 | 26.92489 | 0 | Africa/Juba | populated place | |||
368597 | Pan Rup | SS | Warrap | 7.93972 | 29.44434 | 0 | Africa/Juba | populated place | |||
377285 | Bogora | Bogora,Logora | SS | Central Equatoria | 5.72005 | 31.45146 | 0 | Africa/Juba | populated place | ||
371304 | Logono | SS | Central Equatoria | 5.42958 | 31.58352 | 0 | Africa/Juba | populated place | |||
372626 | Kemande | SS | Western Equatoria | 5.43154 | 30.39251 | 0 | Africa/Juba | populated place | |||
368101 | Reng | SS | Warrap | 8.43826 | 28.69513 | 0 | Africa/Juba | populated place | |||
7431257 | Domjiel | SS | Lakes | 6.79817 | 31.13819 | 0 | Africa/Juba | populated place | |||
8181262 | Lwel | SS | Jonglei | 8.03503 | 31.99122 | 0 | Africa/Juba | populated place | |||
381086 | Abiemnom | Abemnom,Abiemnom | SS | Unity | 9.33943 | 28.9032 | 0 | Africa/Juba | populated place | ||
363622 | Yedid | SS | Jonglei | 8.20069 | 32.27193 | 0 | Africa/Juba | populated place | |||
366287 | Tebi | SS | Western Bahr al Ghazal | 9.35252 | 25.41168 | 0 | Africa/Juba | populated place | |||
375571 | Fan Amweir | SS | Warrap | 8.785 | 28.61873 | 0 | Africa/Juba | populated place | |||
371447 | Libago | Libago,Libogo,New Lasu | SS | Central Equatoria | 3.92688 | 30.35984 | 0 | Africa/Juba | populated place | ||
365788 | Tombe | Tombe,Tombi | SS | 5.8136 | 31.68522 | 0 | Africa/Juba | populated place | |||
371274 | Lokidangoai | SS | Eastern Equatoria | 5.28972 | 33.3881 | 0 | Africa/Juba | populated place | |||
365512 | Twilong | SS | Jonglei | 7.68504 | 33.0608 | 0 | Africa/Juba | populated place | |||
375653 | Faiwal | SS | Warrap | 7.72286 | 29.00473 | 0 | Africa/Juba | populated place | |||
363599 | Yih | Yih,Yizh | SS | Upper Nile | 9.03106 | 32.90953 | 0 | Africa/Juba | populated place | ||
377763 | Banio | Banio | SS | Western Bahr al Ghazal | 7.69989 | 26.36548 | 0 | Africa/Juba | populated place | ||
374704 | Gonyiro | SS | Eastern Equatoria | 4.24131 | 32.50433 | 0 | Africa/Juba | populated place | |||
378675 | Anunbul | SS | Upper Nile | 10.84807 | 32.47886 | 0 | Africa/Juba | populated place | |||
8047355 | Et Teitel | SS | Western Bahr al Ghazal | 10.41923 | 25.80964 | 0 | Africa/Juba | populated place | |||
366044 | Tidfok | Tidfo,Tidfok,Tidfolk | SS | Jonglei | 9.33825 | 30.82108 | 0 | Africa/Juba | populated place | ||
10342748 | Rimenze | SS | Western Equatoria | 4.71082 | 28.5895 | 0 | Africa/Juba | populated place | |||
382630 | Telgai | Telgai,Telgay | SS | Central Equatoria | 4.11372 | 30.64389 | 0 | Africa/Juba | populated place | ||
8059913 | Mirich | SS | Unity | 9.51968 | 30.44063 | 0 | Africa/Juba | populated place | |||
364383 | Ushini | SS | Jonglei | 7.68477 | 33.55783 | 0 | Africa/Juba | populated place | |||
379942 | Agwit | SS | Warrap | 8.74209 | 27.83154 | 0 | Africa/Juba | populated place | |||
381942 | Wunchwei | Wunchwei,Wunchwey | SS | Lakes | 6.32712 | 31.34286 | 0 | Africa/Juba | populated place | ||
7416400 | Amajal | SS | Northern Bahr al Ghazal | 9.1013 | 27.99285 | 0 | Africa/Juba | populated place | |||
8181268 | Abong | SS | Jonglei | 8.1611 | 32.37991 | 0 | Africa/Juba | populated place | |||
379989 | Agit | SS | Northern Bahr al Ghazal | 8.33954 | 26.94059 | 0 | Africa/Juba | populated place | |||
367995 | Rual | SS | Jonglei | 8.13125 | 31.40966 | 0 | Africa/Juba | populated place | |||
372362 | Kirma | SS | Western Equatoria | 5.76561 | 28.77841 | 0 | Africa/Juba | populated place | |||
370582 | Manier Rehom | SS | Lakes | 6.76167 | 29.44862 | 0 | Africa/Juba | populated place | |||
368658 | Pachwil | SS | Jonglei | 7.02306 | 31.21909 | 0 | Africa/Juba | populated place | |||
375870 | Elimiri | SS | Central Equatoria | 4.21667 | 30.01667 | 0 | Africa/Juba | populated place | |||
8181288 | Rubguanchat | SS | Jonglei | 8.08499 | 32.03 | 0 | Africa/Juba | populated place | |||
366791 | Sopo | Sopo | SS | Western Bahr al Ghazal | 8.01761 | 26.05528 | 0 | Africa/Juba | populated place | ||
382060 | Pakujiak | SS | Lakes | 6.82226 | 30.63718 | 0 | Africa/Juba | populated place | |||
371838 | Kuriju | SS | Central Equatoria | 3.89892 | 31.55222 | 0 | Africa/Juba | populated place | |||
366195 | Temchung-de-gi | Temchuk-de-gi,Temchung-de-gi,Ternchung-de-apien | SS | Upper Nile | 9.6502 | 32.15198 | 0 | Africa/Juba | populated place | ||
376977 | Chalamni | SS | Eastern Equatoria | 4.48787 | 32.91724 | 0 | Africa/Juba | populated place | |||
363730 | Wunayan | SS | Upper Nile | 10.62664 | 32.55577 | 0 | Africa/Juba | populated place | |||
365519 | Tuyo Quffa | Tuyo Quffa,Tuyo Quffah | SS | Upper Nile | 10.06631 | 33.75754 | 0 | Africa/Juba | populated place | ||
8058871 | Wunthau | SS | Upper Nile | 9.81854 | 32.03274 | 0 | Africa/Juba | populated place | |||
365722 | Tot | SS | Unity | 9.07845 | 28.98639 | 0 | Africa/Juba | populated place | |||
7430924 | Awarje | SS | Warrap | 8.73315 | 27.75081 | 0 | Africa/Juba | populated place | |||
370980 | Mabyor | SS | Warrap | 8.57381 | 27.92874 | 0 | Africa/Juba | populated place | |||
377946 | Badai | SS | Central Equatoria | 5.71641 | 31.42272 | 0 | Africa/Juba | populated place | |||
363728 | Wunbut | SS | Unity | 9.26065 | 29.71667 | 0 | Africa/Juba | populated place | |||
379773 | Akwei | SS | Lakes | 6.59408 | 30.46162 | 0 | Africa/Juba | populated place | |||
370109 | Methiang | SS | Unity | 8.50124 | 30.18617 | 0 | Africa/Juba | populated place | |||
363615 | Yelakot | SS | Lakes | 5.92286 | 31.61941 | 0 | Africa/Juba | populated place | |||
370613 | Mandari | SS | Central Equatoria | 5.57524 | 31.56784 | 0 | Africa/Juba | populated place | |||
8060828 | Jantoka | Dzhanmoka,Dzhantoka,Jantoka,Джaнмока | SS | Upper Nile | 10.07692 | 33.83869 | 0 | Africa/Juba | populated place | ||
10123497 | Mulusuk | SS | Central Equatoria | 4.25449 | 31.00041 | 0 | Africa/Juba | populated place | |||
8142977 | Barantu | SS | Central Equatoria | 3.84519 | 31.67956 | 0 | Africa/Juba | populated place | |||
377118 | Buolboin | SS | Upper Nile | 8.85179 | 32.56205 | 0 | Africa/Juba | populated place | |||
377696 | Baranga | SS | Central Equatoria | 4.58269 | 31.04926 | 0 | Africa/Juba | populated place | |||
377867 | Bakhīt | SS | Western Bahr al Ghazal | 7.75338 | 27.96302 | 0 | Africa/Juba | populated place | |||
376670 | Domaya | Dawmayah,Dawmāyah,Domaya,Luentam | SS | Upper Nile | 11.3776 | 32.7153 | 0 | Africa/Juba | populated place | ||
7431880 | Nyakoli | SS | Lakes | 6.34498 | 30.59666 | 0 | Africa/Juba | populated place | |||
7431148 | Monok | SS | Warrap | 8.15481 | 27.89758 | 0 | Africa/Juba | populated place | |||
8061144 | Atuel | SS | Warrap | 8.58254 | 28.22359 | 0 | Africa/Juba | populated place | |||
365755 | Tor | SS | Warrap | 8.92498 | 28.04875 | 0 | Africa/Juba | populated place | |||
11288236 | Bazungua | SS | Western Equatoria | 4.60072 | 28.45356 | 0 | Africa/Juba | populated place | |||
371278 | Loka West | SS | Central Equatoria | 4.24399 | 30.98366 | 0 | Africa/Juba | populated place | |||
375587 | Falwal | SS | Unity | 7.56554 | 30.2346 | 0 | Africa/Juba | populated place | |||
8061401 | Afras | SS | Warrap | 8.55403 | 28.4538 | 0 | Africa/Juba | populated place | |||
369265 | Nerjowa | Nerjowa,Nyarjowa | SS | Central Equatoria | 4.51362 | 31.29272 | 0 | Africa/Juba | populated place | ||
363811 | Wilyot | SS | Unity | 9.28333 | 28.83333 | 0 | Africa/Juba | populated place | |||
373316 | Jokwe | SS | Jonglei | 6.43701 | 31.64122 | 0 | Africa/Juba | populated place | |||
376180 | Duk Kwenyakwol | SS | Jonglei | 7.56264 | 31.46835 | 0 | Africa/Juba | populated place | |||
8060629 | Lokli | SS | Jonglei | 6.91142 | 33.07186 | 0 | Africa/Juba | populated place | |||
368091 | Rial | Rial,Riel | SS | Upper Nile | 8.82019 | 33.21093 | 0 | Africa/Juba | populated place | ||
382046 | Umm Sutre | SS | Lakes | 6.9831 | 30.62573 | 0 | Africa/Juba | populated place | |||
375544 | Fankur | SS | Jonglei | 8.62067 | 30.97823 | 0 | Africa/Juba | populated place | |||
375210 | Gair | SS | Unity | 8.60595 | 30.03789 | 0 | Africa/Juba | populated place | |||
381315 | Lomiega | Lomiega,Lomiyega | SS | Central Equatoria | 4.5659 | 31.96087 | 0 | Africa/Juba | populated place | ||
372601 | Keribala | SS | Central Equatoria | 4.11889 | 30.68806 | 0 | Africa/Juba | populated place |
South Sudan: A Geographical Exploration of a New Nation
South Sudan, the world’s youngest country, has been navigating the complexities of post-independence development since its official separation from Sudan in 2011. Located in the heart of Africa, South Sudan presents a rich tapestry of geographical features that influence its economic, cultural, and political landscapes. From the fertile plains of the Nile Basin to the savannahs of the south, the diverse environments of South Sudan offer valuable insights into how geography can shape the identity and growth of a nation. For geographers, understanding this new country involves not only exploring its natural landscapes but also leveraging detailed data about its cities, regions, and administrative divisions.
A Land of Diversity: Geography and Climate
South Sudan is a landlocked country bordered by Sudan to the north, Ethiopia to the east, Kenya, Uganda, and the Democratic Republic of Congo to the south, and the Central African Republic to the west. The country’s geographical makeup is dominated by vast wetlands, savannahs, and tropical forests, with significant portions of its land area lying within the Nile Basin. The White Nile, one of the major tributaries of the Nile River, flows through the country from north to south, providing vital water resources and supporting agriculture in the otherwise arid regions.
The climate of South Sudan is predominantly tropical, characterized by distinct wet and dry seasons. The southwestern regions receive more rainfall, resulting in fertile soils suitable for agriculture, while the northern and central parts experience drier conditions, which affect local economies and livelihoods. The diversity in climate and geography plays a significant role in the country’s agricultural practices, water resources management, and the distribution of settlements.
The Administrative Structure: Cities, Regions, and States
South Sudan is divided into 10 states, which are further subdivided into counties and localities. These states, which include Jonglei, Upper Nile, Bahr el Ghazal, and Central Equatoria, have distinct geographic and cultural identities. Each state has its own unique features, such as the wetlands of Jonglei, the mountainous regions of Western Bahr el Ghazal, and the fertile plains of Equatoria.
The capital, Juba, is located in Central Equatoria and serves as the political, economic, and cultural center of South Sudan. Juba’s location on the White Nile has made it an important hub for trade and communication, connecting South Sudan with neighboring countries and the rest of the world. Other major cities like Wau, Malakal, and Bor also play significant roles in regional development, though they face challenges related to infrastructure, population growth, and security.
Each state of South Sudan has distinct features that are influenced by its geography. For instance, the state of Lakes is dominated by numerous freshwater lakes and rivers, providing a source of livelihood through fishing, while the vast grasslands of Warrap support livestock farming. Access to accurate geographical data on these regions is essential for understanding their unique development challenges and opportunities.
The Importance of Geographic Data for South Sudan
Accurate geographical data is a vital tool for understanding the spatial dynamics of South Sudan. Given the country’s relatively recent independence, the availability of detailed data on its cities, regions, and administrative boundaries is crucial for informed decision-making and effective governance. Geographic data such as the latitude and longitude of key cities, the location of important rivers, and the distribution of natural resources enables researchers, planners, and policymakers to analyze patterns of development, migration, and resource allocation.
For example, knowing the exact coordinates of cities such as Juba, Wau, and Malakal allows for better planning of infrastructure projects, including transportation, energy, and communication networks. Geographic data also helps monitor population movements, which is particularly important in a country recovering from conflict and facing challenges related to internal displacement. By mapping out the locations of refugee camps, settlements, and urban centers, government agencies and humanitarian organizations can provide targeted aid and ensure that resources are distributed efficiently.
In addition, geographic data is essential for environmental management. South Sudan’s wetlands, forests, and savannahs are rich in biodiversity, but they are also vulnerable to the impacts of climate change, deforestation, and agricultural expansion. Detailed geographical data on protected areas, wildlife habitats, and water resources is necessary to develop sustainable conservation strategies and protect these vital ecosystems.
Geographic Data and Regional Development
South Sudan’s rapid urbanization and population growth present challenges for regional development. As cities like Juba continue to expand, there is increasing pressure on infrastructure, housing, and public services. Detailed geographic data helps identify areas that are most at risk of overpopulation or inadequate access to essential services.
For instance, in rural regions like Bahr el Ghazal, where agriculture and livestock farming dominate the economy, geographic data can assist in identifying regions with the highest potential for agricultural growth, as well as areas that are most vulnerable to environmental degradation. By having access to precise geographic data, policymakers can create targeted policies that encourage sustainable agricultural practices, improve access to water, and enhance rural development.
In addition to rural development, urban planning in cities like Juba requires careful consideration of land use, transportation, and public service delivery. The availability of geographic data enables planners to design more efficient cities, reduce congestion, and ensure that infrastructure development aligns with population growth and economic needs. Such data also facilitates the management of public health initiatives, especially in rapidly growing urban areas where sanitation, healthcare, and education are essential for improving quality of life.
Environmental Challenges and Geographic Data
South Sudan faces numerous environmental challenges that are exacerbated by its geography. The country is prone to flooding, particularly during the rainy season, and large areas of land are affected by desertification, deforestation, and the degradation of wetlands. With many areas still largely unexplored, accurate geographic data is needed to assess the full extent of environmental threats and develop strategies for mitigation.
For example, the Sudd, one of the world’s largest wetlands located in the south of the country, plays a critical role in supporting biodiversity and regulating the flow of the White Nile. Understanding the geographic features of this area, including its water levels and seasonal variations, is essential for managing water resources, protecting wildlife, and preventing the encroachment of agricultural development into sensitive ecosystems.
By mapping the locations of key environmental features and monitoring changes over time, South Sudan can develop better strategies for sustainable land use and natural resource management. Geographic data also helps identify areas that are most vulnerable to climate change, such as low-lying regions that are prone to flooding, and allows for the development of early warning systems and disaster preparedness plans.
Conclusion: Harnessing Geographic Data for South Sudan’s Future
In conclusion, South Sudan’s geography is a fundamental aspect of its identity and development. From its fertile river basins to its vast grasslands and wetlands, the country’s diverse environments offer both opportunities and challenges for sustainable growth. Accurate and detailed geographic data is essential for understanding the spatial dynamics of South Sudan, planning for regional development, and managing its rich natural resources.
As South Sudan continues to recover and build a more stable future, access to comprehensive geographic data will play a key role in shaping its development. By obtaining precise data on its cities, regions, and environmental features, South Sudan can make informed decisions that promote sustainable growth, protect natural resources, and improve the lives of its people. For researchers, policymakers, and development organizations, geographic data is the cornerstone of a prosperous and resilient South Sudan.
FaQ about South Sudan
- 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.