Eswatini cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 19 January 2025.
Below is a list of 100 prominent cities in Eswatini. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 109 places in Eswatini 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 Eswatini is Mbabane.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
11204813 | Malindza | SZ | Lubombo | -26.40294 | 31.75317 | 0 | Africa/Mbabane | populated place | |||
935076 | Hluti | Hluti | SZ | Shiselweni | -27.21667 | 31.61667 | 6763 | Africa/Mbabane | populated place | ||
934851 | Siteki | Siteki,Stegi | SZ | Lubombo | -26.4525 | 31.94722 | 6152 | Africa/Mbabane | seat of a first-order administrative division | ||
935021 | Madlangampisi | Madlangampisi | SZ | Hhohho | -26.08333 | 31.55 | 0 | Africa/Mbabane | populated place | ||
11523348 | Mahlalini | SZ | Shiselweni | Shiselweni I | -27.07567 | 31.31136 | 0 | Africa/Mbabane | populated place | ||
11127817 | Nkambeni | SZ | Hhohho | -26.05 | 31.66667 | 0 | Africa/Mbabane | populated place | |||
935023 | Macnab | Mac Nabs,Macnab,Macnab Store | SZ | -26.41667 | 31.58333 | 0 | Africa/Mbabane | populated place | |||
935005 | Malkerns | Malkerns | SZ | Manzini | -26.56667 | 31.18333 | 9724 | Africa/Mbabane | populated place | ||
935089 | Havelock | Havelock,Havelock Mine | SZ | -25.95 | 31.13333 | 0 | Africa/Mbabane | populated place | |||
935049 | Lismore | SZ | -27.11667 | 31.93333 | 0 | Africa/Mbabane | populated place | ||||
935103 | Dwaleni | SZ | -27.16667 | 31.26667 | 0 | Africa/Mbabane | populated place | ||||
934827 | Usutu | Usutu,Usutu Mission | SZ | -26.58333 | 31.18333 | 0 | Africa/Mbabane | populated place | |||
934900 | Nsoko | Nsoka,Nsoko | SZ | Lubombo | -27.03333 | 31.95 | 1175 | Africa/Mbabane | populated place | ||
7932093 | Ngwenya | SZ | Lubombo | -26.2279 | 31.03926 | 0 | Africa/Mbabane | populated place | |||
935116 | Bennets | SZ | -25.95 | 31.51667 | 0 | Africa/Mbabane | populated place | ||||
11205004 | Nyonyane | SZ | Hhohho | -26.11405 | 31.44916 | 0 | Africa/Mbabane | populated place | |||
11257943 | Lundzi | SZ | Manzini | -26.4548 | 30.85798 | 0 | Africa/Mbabane | populated place | |||
935074 | Horo | SZ | -25.75 | 31.41667 | 0 | Africa/Mbabane | populated place | ||||
935051 | Lavumisa | Gollel,Lavumisa | SZ | Shiselweni | -27.31005 | 31.89198 | 2000 | Africa/Mbabane | populated place | ||
935031 | Luyengo | SZ | -26.53333 | 31.23333 | 0 | Africa/Mbabane | populated place | ||||
934877 | Rondspring | SZ | -26.88333 | 31.7 | 0 | Africa/Mbabane | populated place | ||||
935111 | Bulembu | Bulembu,Compound,Emhlembi,Emlembe | SZ | Hhohho | -25.96667 | 31.13333 | 2260 | Africa/Mbabane | populated place | ||
935044 | Lomati | Lomati,Lomati Store | SZ | -25.81667 | 31.35 | 0 | Africa/Mbabane | populated place | |||
935081 | Hlatikulu | Hlatikulu | SZ | Shiselweni | -26.97917 | 31.32444 | 2748 | Africa/Mbabane | populated place | ||
11205510 | Mkhulamini | SZ | Manzini | -26.42765 | 31.38627 | 0 | Africa/Mbabane | populated place | |||
935091 | Gege | Gege | SZ | Shiselweni | -26.95 | 31.01667 | 0 | Africa/Mbabane | populated place | ||
11205450 | Dvokolwako | SZ | Hhohho | -26.16037 | 31.58878 | 0 | Africa/Mbabane | populated place | |||
11127813 | Hluthi | SZ | Shiselweni | -27.21 | 31.57 | 0 | Africa/Mbabane | populated place | |||
11258149 | Mthongwaneni | SZ | Manzini | Manzini North | -26.49785 | 31.47173 | 0 | Africa/Mbabane | populated place | ||
935017 | Mahamba | Mahamba | SZ | -27.1 | 31.08333 | 0 | Africa/Mbabane | populated place | |||
934909 | Nkanni | SZ | Hhohho | -26.45 | 31.21667 | 0 | Africa/Mbabane | populated place | |||
934855 | Singceni | Sinceni,Singceni | SZ | -26.76667 | 31.58333 | 0 | Africa/Mbabane | populated place | |||
934985 | Mbabane | Embabane,Mabane,Mbaban,Mbabane,Mbabaneh,Mbabano,Mbabanė,Mbabàn,Mpampane,QMN,ababane,ambabane,ambabany,eumbabane,impapan,mbaban,mbabane,mbabanh,mbabyn,mbbnh,mo ba ben,mubabane,xam ba bane,Μπαμπάνε,Мбабане,Мбабанэ,Մբաբանե,מבאבאנע,מבבנה,امبابانی,مبابان,مبابانه,مبابانێ,مبابین,अंबाबाने,ਅੰਬਾਬਾਨੇ,இம்பபான்,อัมบาบาเน,མ་པ་པན།,მბაბანე,ምባባኔ,ムババーネ,墨巴本,음바바네 | SZ | Hhohho | -26.31667 | 31.13333 | 76218 | Africa/Mbabane | capital of a political entity | ||
935120 | Abercorn | Abercorn,Abercorn Point,Abercorn Pont | SZ | -26.83333 | 32.13333 | 0 | Africa/Mbabane | populated place | |||
935014 | Mahlanya | Mahlanya | SZ | -26.5 | 31.28333 | 0 | Africa/Mbabane | populated place | |||
934913 | Nhlangano | Goedgegun,Nhlangano | SZ | Shiselweni | -27.11222 | 31.19833 | 9016 | Africa/Mbabane | seat of a first-order administrative division | ||
935075 | Holobela | SZ | -26.7 | 31.83333 | 0 | Africa/Mbabane | populated place | ||||
934822 | Von Wissel | SZ | -26.86667 | 31.93333 | 0 | Africa/Mbabane | populated place | ||||
934960 | Mlawula | Mlawula | SZ | -26.18333 | 31.98333 | 0 | Africa/Mbabane | populated place | |||
935055 | Kubuta | Kubuta | SZ | Shiselweni | -26.88333 | 31.48333 | 2038 | Africa/Mbabane | populated place | ||
11256884 | Ndzevane | SZ | Lubombo | -26.94646 | 31.95394 | 0 | Africa/Mbabane | populated place | |||
935096 | Ezulwini | Esulweni,Ezulweni,Ezulwini | SZ | Lubombo | -26.4 | 31.16667 | 0 | Africa/Mbabane | populated place | ||
935118 | Balegane | Balegana,Balegane,Balegane Store | SZ | -26.1 | 31.56667 | 0 | Africa/Mbabane | populated place | |||
11126275 | Mhlangatane | SZ | Hhohho | -25.93333 | 31.63333 | 0 | Africa/Mbabane | populated place | |||
935018 | Magomba | SZ | Lubombo | -26.56667 | 31.83333 | 0 | Africa/Mbabane | populated place | |||
934967 | Mhlosheni | Mhlosheni,Mhlotsheni | SZ | -27.18333 | 31.38333 | 0 | Africa/Mbabane | populated place | |||
11239145 | Mbasheni | SZ | Hhohho | -25.8284 | 31.39092 | 0 | Africa/Mbabane | populated place | |||
934971 | Mhlambanyatsi | Mhlambanyati,Mhlambanyatsi | SZ | Manzini | -26.45 | 31.01667 | 2886 | Africa/Mbabane | populated place | ||
934995 | Manzini | Bremersdorp,MTS,Maneini,Manzini,Manzinis,Manêini,man qi ni,manjini,mnzyny,Μανζίνι,Манзини,Манзіні,מנזיני,マンジニ,曼齐尼,만지니 | SZ | Manzini | -26.49884 | 31.38004 | 110537 | Africa/Mbabane | seat of a first-order administrative division | ||
7910862 | Vuvulane | SZ | Lubombo | -26.07427 | 31.87672 | 4155 | Africa/Mbabane | populated place | |||
11127718 | Mpolonjeni | SZ | Lubombo | -26.55497 | 31.86901 | 0 | Africa/Mbabane | populated place | |||
934840 | Tshaneni | Tahaneni,Tshaneni | SZ | Lubombo | -25.98333 | 31.71667 | 1899 | Africa/Mbabane | populated place | ||
11237894 | Hhelehhele | SZ | Manzini | -26.488 | 31.456 | 0 | Africa/Mbabane | populated place | |||
934870 | Sandlane | Sandlane | SZ | Manzini | -26.56667 | 30.78333 | 0 | Africa/Mbabane | populated place | ||
935067 | Inyetane | SZ | -26.55 | 31.93333 | 0 | Africa/Mbabane | populated place | ||||
935114 | Bhunya | Bhunya,Bunya | SZ | Manzini | -26.55 | 31.01667 | 3046 | Africa/Mbabane | populated place | ||
934989 | Matsapha | MTS,Matapa,Matsapa,Matsapha | SZ | Manzini | -26.50253 | 31.30795 | 0 | Africa/Mbabane | populated place | ||
11257278 | Hlatsi | SZ | Shiselweni | -26.97479 | 31.3252 | 0 | Africa/Mbabane | populated place | |||
934852 | Siphofaneni | Siphofaneni,Sipofaneni,Sipofaneni Bridge,Sipofanenibrug,Spofanene | SZ | -26.68333 | 31.68333 | 0 | Africa/Mbabane | populated place | |||
935090 | Granvalley | Grand Valley Estate,Granvalley | SZ | -26.91667 | 31.28333 | 0 | Africa/Mbabane | populated place | |||
11256967 | Mambane | SZ | Lubombo | -26.768 | 32.034 | 0 | Africa/Mbabane | populated place | |||
934966 | Mhlume | Mhlume | SZ | Lubombo | -26.03333 | 31.85 | 8652 | Africa/Mbabane | populated place | ||
935068 | Inyetane | Inyetane,Palata | SZ | -26.53333 | 32.01667 | 0 | Africa/Mbabane | populated place | |||
11257314 | Ngculwini | SZ | Manzini | -26.54698 | 31.48251 | 0 | Africa/Mbabane | populated place | |||
11127816 | Mafutseni | SZ | Manzini | -26.44 | 31.52 | 0 | Africa/Mbabane | populated place | |||
11127737 | Mbangweni | SZ | Hhohho | -26.29321 | 31.11164 | 0 | Africa/Mbabane | populated place | |||
934850 | Sitobela | Sibobela,Sitobela | SZ | -26.88333 | 31.6 | 0 | Africa/Mbabane | populated place | |||
935054 | Kwaluseni | Kwaluseni | SZ | Manzini | -26.48333 | 31.33333 | 3395 | Africa/Mbabane | populated place | ||
934848 | Skombeni | SZ | -26.4 | 31.35 | 0 | Africa/Mbabane | populated place | ||||
934953 | Mooihoek | SZ | -26.96667 | 31.46667 | 0 | Africa/Mbabane | populated place | ||||
935107 | Croydon | SZ | -26.2 | 31.56667 | 0 | Africa/Mbabane | populated place | ||||
935093 | Forbes Reef | SZ | -26.16667 | 31.1 | 0 | Africa/Mbabane | populated place | ||||
11205222 | Vusweni | SZ | Hhohho | -25.86711 | 31.37564 | 0 | Africa/Mbabane | populated place | |||
11205291 | Mpaka | SZ | Lubombo | -26.412 | 31.78 | 0 | Africa/Mbabane | populated place | |||
934959 | Mliba | Mliba | SZ | -26.25 | 31.58333 | 0 | Africa/Mbabane | populated place | |||
934864 | Sicunusa | Sicunusa,Sigunusa | SZ | -26.86667 | 30.95 | 0 | Africa/Mbabane | populated place | |||
11128087 | Ndzingeni | SZ | Hhohho | -25.97518 | 31.29344 | 0 | Africa/Mbabane | populated place | |||
934998 | Mankayane | Mankaiana,Mankayane | SZ | -26.6684 | 31.06487 | 0 | Africa/Mbabane | populated place | |||
934906 | Nkonjane | SZ | -26.76667 | 32.08333 | 0 | Africa/Mbabane | populated place | ||||
934965 | Mhlumeni | Mhlumeni | SZ | -26.25 | 32.1 | 0 | Africa/Mbabane | populated place | |||
11247706 | Mangwaneni | SZ | Hhohho | -26.33858 | 31.14403 | 0 | Africa/Mbabane | populated place | |||
934878 | Rocklands | SZ | Hhohho | -25.95 | 31.28333 | 0 | Africa/Mbabane | populated place | |||
934921 | Ngonini | Ngonini | SZ | -25.76667 | 31.38333 | 0 | Africa/Mbabane | populated place | |||
935045 | Lomahasha | Lomahasha,Nomahasha | SZ | Lubombo | -25.98333 | 32 | 0 | Africa/Mbabane | populated place | ||
11523346 | Mathendele | SZ | Shiselweni | Shiselweni I | -27.09539 | 31.19652 | 0 | Africa/Mbabane | populated place | ||
935040 | Lubuli | Lubuli | SZ | -27.01667 | 31.9 | 0 | Africa/Mbabane | populated place | |||
934931 | Mvangatini | Mvangalini,Mvangatini | SZ | -26.75 | 31.6 | 0 | Africa/Mbabane | populated place | |||
934842 | Stylkloof | SZ | -26.78333 | 31.13333 | 0 | Africa/Mbabane | populated place | ||||
11127738 | Simunye | SZ | Lubombo | -26.20889 | 31.91889 | 0 | Africa/Mbabane | populated place | |||
11257303 | Nsongweni | SZ | Shiselweni | -27.08748 | 31.19324 | 0 | Africa/Mbabane | populated place | |||
935097 | Etjanine | SZ | -26.38333 | 30.9 | 0 | Africa/Mbabane | populated place | ||||
934888 | Nyabe | SZ | -26.75 | 31.08333 | 0 | Africa/Mbabane | populated place | ||||
934975 | Mgamane | SZ | -26.81667 | 31.1 | 0 | Africa/Mbabane | populated place | ||||
11127815 | Mgazini | SZ | Shiselweni | -26.796 | 30.949 | 0 | Africa/Mbabane | populated place | |||
11523365 | Buhleni | SZ | Hhohho | Mayiwane | -25.92138 | 31.50967 | 0 | Africa/Mbabane | populated place | ||
935060 | Kobolondo Heights | SZ | -25.9 | 31.21667 | 0 | Africa/Mbabane | populated place | ||||
934862 | Sidvokodvo | SZ | Manzini | -26.6282 | 31.42021 | 1746 | Africa/Mbabane | populated place | |||
935086 | Herefords | Herefords | SZ | -25.83333 | 31.5 | 0 | Africa/Mbabane | populated place | |||
11127726 | Ekukhanyeni | SZ | Manzini | -26.3875 | 31.52806 | 0 | Africa/Mbabane | populated place | |||
934980 | Mbuluzana | SZ | -26.35 | 31.51667 | 0 | Africa/Mbabane | populated place |
**Exploring Eswatini: A Geographer's Perspective**
Introduction**
Embarking on a geographical exploration of Eswatini, formerly known as Swaziland, unveils a land of diverse landscapes, rich cultural heritage, and unique biodiversity. As a geographer delving into the intricacies of this small, landlocked kingdom in southern Africa, obtaining data on its cities, regions, and geographical coordinates provides valuable insights into its spatial dynamics and environmental characteristics.
Mapping the Regions and Departments**
Eswatini's geography is marked by contrasting landscapes, ranging from the highlands of the Drakensberg Mountains to the low-lying savannas and forests. Mapping the regions and departments of Eswatini reveals the country's diverse topography, cultural diversity, and economic activities. From the bustling urban centers of Mbabane and Manzini to the rural communities of Nhlangano and Siteki, each region offers a unique blend of tradition and modernity, shaped by historical, environmental, and socio-economic factors.
Exploring Urban Centers and Rural Villages**
The cities, towns, and villages of Eswatini serve as focal points of social, economic, and cultural life. Exploring urban centers such as Mbabane, the capital city, and Manzini, the commercial hub, provides insights into the country's urbanization trends, infrastructure development, and demographic dynamics. Meanwhile, venturing into the rural hinterlands unveils a tapestry of traditional homesteads, agricultural landscapes, and community-based initiatives, where the rhythms of rural life are intricately connected to the natural environment.
Obtaining Latitude and Longitude Data**
Accurate geographical coordinates are essential for understanding the spatial distribution of cities, towns, and landmarks in Eswatini. Obtaining latitude and longitude data for each city enables geographers to create detailed maps, analyze spatial patterns, and monitor environmental changes over time. By mapping the geographical coordinates of Eswatini's urban and rural areas, geographers can contribute to urban planning, natural resource management, and disaster risk reduction efforts, ensuring the sustainable development and resilience of the country's communities.
Conclusion**
In conclusion, exploring the geography of Eswatini offers valuable insights into its environmental, cultural, and socio-economic dynamics. By obtaining data on its cities, regions, and geographical coordinates, geographers can contribute to our understanding of the country's spatial patterns and development challenges. Let us continue to study and appreciate the geographical wonders of Eswatini, striving for sustainable development and prosperity for all its inhabitants.
Download data files for Eswatini's cities in CSV, SQL, XML and JSON formats
Exploring Eswatini’s Geography: A Geographer’s Insight into Cities, Regions, and Data
Eswatini, a small but culturally rich kingdom located in Southern Africa, presents a fascinating case for geographical analysis. Despite its size, the country boasts a diverse range of landscapes, from its mountainous highlands to its low-lying savannas and fertile valleys. The geography of Eswatini is not only influenced by its natural environment but also by its historical development, agricultural practices, and political divisions. As a geographer, understanding the spatial distribution of Eswatini’s cities, regions, and natural features is crucial for analyzing its urbanization patterns, infrastructure needs, and regional development.
Geographical Structure of Eswatini: Cities, Regions, and Administrative Divisions
Eswatini is divided into four regions: Hhohho, Manzini, Lubombo, and Shiselweni. These regions are further subdivided into administrative districts and municipalities, each with its own unique characteristics. The regions serve as the primary administrative units in the country and play a key role in governance, resource allocation, and regional planning.
The capital city, Mbabane, is located in the western part of the country, nestled in the mountains of the Hhohho region. Mbabane is the political and economic center of Eswatini, while the second-largest city, Manzini, serves as the commercial and industrial hub. Other cities, such as Nhlangano and Siteki, contribute to the regional economies and have unique roles in agriculture, trade, and tourism.
Each region’s geography plays a vital role in shaping its urbanization and infrastructure. For example, the Hhohho region, with its proximity to South Africa, has a more developed infrastructure and greater urbanization compared to the more rural regions of Shiselweni and Lubombo. The natural environment also shapes the settlement patterns, with fertile valleys supporting agriculture and mountainous areas offering limited space for expansion.
Latitude and Longitude: Mapping Eswatini’s Cities
For geographers, obtaining precise latitude and longitude data is fundamental to understanding the spatial relationships between Eswatini’s cities and regions. These geographic coordinates allow for accurate mapping of urban centers and their connections to surrounding natural features, such as rivers, mountains, and forests.
Mbabane, the capital, has specific latitude and longitude coordinates that place it in the highlands, while Manzini, located in the central part of the country, offers a different set of geographical challenges. By obtaining the latitude and longitude of these and other cities, geographers can map Eswatini’s cities and explore how urban areas are distributed across different regions, helping to identify patterns of migration, population density, and resource distribution.
Understanding the exact location of cities through geographic coordinates also facilitates planning for infrastructure development, transportation networks, and disaster management. Given Eswatini’s vulnerability to natural disasters, such as flooding and droughts, knowing the precise geographical positions of cities can help improve resilience and resource management strategies.
Accessing Eswatini’s Geographical Data in Multiple Formats
For those interested in exploring Eswatini’s geography in greater depth, having access to data in multiple formats is essential. The ability to retrieve geographic data on cities, regions, and their respective coordinates in formats such as CSV, SQL, JSON, and XML provides flexibility and convenience for researchers, urban planners, and developers.
CSV (Comma Separated Values) format is particularly useful for organizing city and regional data in tables that can be easily analyzed in spreadsheet applications. Users can filter, sort, and compare cities based on population, area, and other attributes. SQL (Structured Query Language) is perfect for those who need to manage larger datasets stored in relational databases, allowing them to run complex queries and extract meaningful insights about Eswatini’s cities and regions.
For developers working with Geographic Information Systems (GIS) or web applications, JSON (JavaScript Object Notation) and XML (Extensible Markup Language) are widely used formats. These formats enable the seamless integration of geographic data into custom mapping systems, data visualizations, and applications that allow users to explore Eswatini’s geography in an interactive and dynamic way. Whether for visualizing regional development, creating urban maps, or analyzing spatial relationships, JSON and XML provide the flexibility to tailor data to specific needs.
Having access to Eswatini’s geographic data in these various formats enhances its accessibility, enabling users to conduct a wide range of analyses and apply the data to different types of projects, from environmental studies to infrastructure planning.
The Importance of Geographic Data for Understanding Eswatini
The geography of Eswatini plays a central role in its development, resource management, and urbanization. By understanding the spatial distribution of cities, the underlying natural features, and the administrative regions, geographers, urban planners, and policymakers can gain valuable insights into the country’s challenges and opportunities.
Access to precise latitude and longitude data, combined with information on regions and municipalities, allows for detailed mapping and analysis of Eswatini’s urban growth, regional disparities, and environmental management strategies. Whether assessing the impact of climate change, planning new infrastructure, or managing the country’s agricultural resources, geographic data is essential for making informed, data-driven decisions.
Moreover, the availability of this data in flexible formats like CSV, SQL, JSON, and XML ensures that users can adapt the information for their specific needs. Whether for academic research, government planning, or business analysis, geographic data on Eswatini’s cities and regions provides the tools needed to explore the country’s spatial dynamics in greater detail.
Eswatini’s geographic data is a valuable resource for anyone seeking to better understand the country’s landscape, urbanization, and development. With access to this data, researchers and planners can gain a deeper understanding of how Eswatini’s cities and regions are interconnected and how its geography shapes its social, economic, and environmental landscape. The ability to work with this data in various formats makes it an essential tool for anyone looking to engage with Eswatini’s geography in a meaningful way.