Eswatini Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML

Eswatini
Eswatini
Excel, CSV, SQL, XML, JSON

Last update : 23 March 2026.

Country
Eswatini
Capital
Mbabane
Number of cities
109
Download
Click here

Here you’ll find a curated sample of 100 key cities from Eswatini, 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 109 geographic locations across Eswatini.

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 Eswatini is Mbabane.


Geoname_IDCityAlternate_NameCountry_Code RegionSub_regionLatitudeLongitude ElevationPopulationTimezoneFcode_Name
11205450 Dvokolwako SZ Hhohho -26.16037 31.58878 0 Africa/Mbabane populated place
934909 Nkanni SZ Hhohho -26.45 31.21667 0 Africa/Mbabane populated place
935068 Inyetane Inyetane,Palata SZ -26.53333 32.01667 0 Africa/Mbabane populated place
934840 Tshaneni Tahaneni,Tshaneni SZ Lubombo -25.98333 31.71667 1899 Africa/Mbabane populated place
934966 Mhlume Mhlume SZ Lubombo -26.03333 31.85 8652 Africa/Mbabane populated place
935081 Hlatikulu Hlatikulu SZ Shiselweni -26.97917 31.32444 2748 Africa/Mbabane populated place
11127737 Mbangweni SZ Hhohho -26.29321 31.11164 0 Africa/Mbabane populated place
11257278 Hlatsi SZ Shiselweni -26.97479 31.3252 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
935017 Mahamba Mahamba SZ -27.1 31.08333 0 Africa/Mbabane populated place
934921 Ngonini Ngonini SZ -25.76667 31.38333 0 Africa/Mbabane populated place
935074 Horo SZ -25.75 31.41667 0 Africa/Mbabane populated place
935014 Mahlanya Mahlanya SZ -26.5 31.28333 0 Africa/Mbabane populated place
934960 Mlawula Mlawula SZ -26.18333 31.98333 0 Africa/Mbabane populated place
934975 Mgamane SZ -26.81667 31.1 0 Africa/Mbabane populated place
935108 Commissie Nek SZ -26.33333 31.23333 0 Africa/Mbabane populated place
935018 Magomba SZ Lubombo -26.56667 31.83333 0 Africa/Mbabane populated place
934931 Mvangatini Mvangalini,Mvangatini SZ -26.75 31.6 0 Africa/Mbabane populated place
11127815 Mgazini SZ Shiselweni -26.796 30.949 0 Africa/Mbabane populated place
11205291 Mpaka SZ Lubombo -26.412 31.78 0 Africa/Mbabane populated place
935093 Forbes Reef SZ -26.16667 31.1 0 Africa/Mbabane populated place
935040 Lubuli Lubuli SZ -27.01667 31.9 0 Africa/Mbabane populated place
935111 Bulembu Bulembu,Compound,Emhlembi,Emlembe SZ Hhohho -25.96667 31.13333 2260 Africa/Mbabane populated place
11205004 Nyonyane SZ Hhohho -26.11405 31.44916 0 Africa/Mbabane populated place
11239145 Mbasheni SZ Hhohho -25.8284 31.39092 0 Africa/Mbabane populated place
934870 Sandlane Sandlane SZ Manzini -26.56667 30.78333 0 Africa/Mbabane populated place
935002 Maloma Maloma SZ -27.01667 31.65 0 Africa/Mbabane populated place
935096 Ezulwini Esulweni,Ezulweni,Ezulwini SZ Lubombo -26.4 31.16667 0 Africa/Mbabane populated place
11257303 Nsongweni SZ Shiselweni -27.08748 31.19324 0 Africa/Mbabane populated place
11126275 Mhlangatane SZ Hhohho -25.93333 31.63333 0 Africa/Mbabane populated place
11127738 Simunye SZ Lubombo -26.20889 31.91889 0 Africa/Mbabane populated place
935067 Inyetane SZ -26.55 31.93333 0 Africa/Mbabane populated place
11127726 Ekukhanyeni SZ Manzini -26.3875 31.52806 0 Africa/Mbabane populated place
935120 Abercorn Abercorn,Abercorn Point,Abercorn Pont SZ -26.83333 32.13333 0 Africa/Mbabane populated place
935086 Herefords Herefords SZ -25.83333 31.5 0 Africa/Mbabane populated place
935075 Holobela SZ -26.7 31.83333 0 Africa/Mbabane populated place
11257314 Ngculwini SZ Manzini -26.54698 31.48251 0 Africa/Mbabane populated place
934878 Rocklands SZ Hhohho -25.95 31.28333 0 Africa/Mbabane populated place
11523346 Mathendele SZ Shiselweni Shiselweni I -27.09539 31.19652 0 Africa/Mbabane populated place
935021 Madlangampisi Madlangampisi SZ Hhohho -26.08333 31.55 0 Africa/Mbabane populated place
934953 Mooihoek SZ -26.96667 31.46667 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
11127813 Hluthi SZ Shiselweni -27.21 31.57 0 Africa/Mbabane populated place
935107 Croydon SZ -26.2 31.56667 0 Africa/Mbabane populated place
11127816 Mafutseni SZ Manzini -26.44 31.52 0 Africa/Mbabane populated place
935055 Kubuta Kubuta SZ Shiselweni -26.88333 31.48333 2038 Africa/Mbabane populated place
934965 Mhlumeni Mhlumeni SZ -26.25 32.1 0 Africa/Mbabane populated place
935051 Lavumisa Gollel,Lavumisa SZ Shiselweni -27.31005 31.89198 2000 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
934980 Mbuluzana SZ -26.35 31.51667 0 Africa/Mbabane populated place
934851 Siteki Siteki,Stegi SZ Lubombo -26.4525 31.94722 6152 Africa/Mbabane seat of a first-order administrative division
935045 Lomahasha Lomahasha,Nomahasha SZ Lubombo -25.98333 32 0 Africa/Mbabane populated place
934826 Verdun SZ -26.85 31.4 0 Africa/Mbabane populated place
934827 Usutu Usutu,Usutu Mission SZ -26.58333 31.18333 0 Africa/Mbabane populated place
7910862 Vuvulane SZ Lubombo -26.07427 31.87672 4155 Africa/Mbabane populated place
935060 Kobolondo Heights SZ -25.9 31.21667 0 Africa/Mbabane populated place
934906 Nkonjane SZ -26.76667 32.08333 0 Africa/Mbabane populated place
934998 Mankayane Mankaiana,Mankayane SZ -26.6684 31.06487 0 Africa/Mbabane populated place
935089 Havelock Havelock,Havelock Mine SZ -25.95 31.13333 0 Africa/Mbabane populated place
934904 Nokwane SZ -26.13333 31.91667 0 Africa/Mbabane populated place
11205510 Mkhulamini SZ Manzini -26.42765 31.38627 0 Africa/Mbabane populated place
935054 Kwaluseni Kwaluseni SZ Manzini -26.48333 31.33333 3395 Africa/Mbabane populated place
7932093 Ngwenya SZ Lubombo -26.2279 31.03926 0 Africa/Mbabane populated place
11205222 Vusweni SZ Hhohho -25.86711 31.37564 0 Africa/Mbabane populated place
935049 Lismore SZ -27.11667 31.93333 0 Africa/Mbabane populated place
935023 Macnab Mac Nabs,Macnab,Macnab Store SZ -26.41667 31.58333 0 Africa/Mbabane populated place
934842 Stylkloof SZ -26.78333 31.13333 0 Africa/Mbabane populated place
935044 Lomati Lomati,Lomati Store SZ -25.81667 31.35 0 Africa/Mbabane populated place
935076 Hluti Hluti SZ Shiselweni -27.21667 31.61667 6763 Africa/Mbabane populated place
934855 Singceni Sinceni,Singceni SZ -26.76667 31.58333 0 Africa/Mbabane populated place
934877 Rondspring SZ -26.88333 31.7 0 Africa/Mbabane populated place
11258149 Mthongwaneni SZ Manzini Manzini North -26.49785 31.47173 0 Africa/Mbabane populated place
934822 Von Wissel SZ -26.86667 31.93333 0 Africa/Mbabane populated place
934959 Mliba Mliba SZ -26.25 31.58333 0 Africa/Mbabane populated place
934971 Mhlambanyatsi Mhlambanyati,Mhlambanyatsi SZ Manzini -26.45 31.01667 2886 Africa/Mbabane populated place
11128087 Ndzingeni SZ Hhohho -25.97518 31.29344 0 Africa/Mbabane populated place
935114 Bhunya Bhunya,Bunya SZ Manzini -26.55 31.01667 3046 Africa/Mbabane populated place
935103 Dwaleni SZ -27.16667 31.26667 0 Africa/Mbabane populated place
935090 Granvalley Grand Valley Estate,Granvalley SZ -26.91667 31.28333 0 Africa/Mbabane populated place
935106 Darkton Darkton,Darktown SZ Hhohho -26.23333 31.03333 1281 Africa/Mbabane populated place
935118 Balegane Balegana,Balegane,Balegane Store SZ -26.1 31.56667 0 Africa/Mbabane populated place
934888 Nyabe SZ -26.75 31.08333 0 Africa/Mbabane populated place
934967 Mhlosheni Mhlosheni,Mhlotsheni SZ -27.18333 31.38333 0 Africa/Mbabane populated place
11523365 Buhleni SZ Hhohho Mayiwane -25.92138 31.50967 0 Africa/Mbabane populated place
935116 Bennets SZ -25.95 31.51667 0 Africa/Mbabane populated place
11128093 Mhlangatane SZ Hhohho -26.305 31.11472 0 Africa/Mbabane populated place
934900 Nsoko Nsoka,Nsoko SZ Lubombo -27.03333 31.95 1175 Africa/Mbabane populated place
934862 Sidvokodvo SZ Manzini -26.6282 31.42021 1746 Africa/Mbabane populated place
935005 Malkerns Malkerns SZ Manzini -26.56667 31.18333 9724 Africa/Mbabane populated place
11237894 Hhelehhele SZ Manzini -26.488 31.456 0 Africa/Mbabane populated place
935031 Luyengo SZ -26.53333 31.23333 0 Africa/Mbabane populated place
11127817 Nkambeni SZ Hhohho -26.05 31.66667 0 Africa/Mbabane populated place
934852 Siphofaneni Siphofaneni,Sipofaneni,Sipofaneni Bridge,Sipofanenibrug,Spofanene SZ -26.68333 31.68333 0 Africa/Mbabane populated place
935091 Gege Gege SZ Shiselweni -26.95 31.01667 0 Africa/Mbabane populated place
934850 Sitobela Sibobela,Sitobela SZ -26.88333 31.6 0 Africa/Mbabane populated place
11127718 Mpolonjeni SZ Lubombo -26.55497 31.86901 0 Africa/Mbabane populated place
935113 Big Bend Big Bend SZ Lubombo -26.81667 31.93333 10342 Africa/Mbabane populated place
11204813 Malindza SZ Lubombo -26.40294 31.75317 0 Africa/Mbabane populated place
935097 Etjanine SZ -26.38333 30.9 0 Africa/Mbabane populated place
934864 Sicunusa Sicunusa,Sigunusa SZ -26.86667 30.95 0 Africa/Mbabane populated place

Eswatini: A Nation Framed by Elevation, Identity, and Precise Geography

A Kingdom of Contrasts, Captured Through Data

Nestled between South Africa and Mozambique, Eswatini (formerly Swaziland) may be small in size, but it pulses with geographic richness and historical identity. As a geographer, few places captivate my curiosity quite like this landlocked kingdom—where elevation defines climate, where cultural preservation coexists with modern governance, and where mapping each city is a window into both terrain and tradition.

Eswatini’s four administrative regions—Hhohho, Lubombo, Manzini, and Shiselweni—are not arbitrary divisions. They reflect striking variations in altitude, vegetation, and population density. The Highveld to the west is cool and mountainous, the Middleveld undulates with fertile hills, and the Lowveld opens into dry savannas. To fully appreciate this spatial diversity, one must look closely at the urban nodes spread across these landscapes.

The Vitality of City-Level Data in a Compact Nation

While Mbabane and Manzini are the economic and political heartbeats of Eswatini, the country’s smaller cities and towns are equally vital. They form a patchwork of agricultural hubs, border crossings, and royal homesteads—each with distinct geographical significance. Capturing this urban structure with precision is essential not only for academic study but for infrastructure planning, climate modeling, education policy, and logistics optimization.

Our database provides exactly that: an authoritative list of Eswatini’s cities, organized by their respective regions and sub-regional divisions. The aim is not only to name places, but to contextualize them within their administrative and environmental frameworks.

Latitude and Longitude: Anchoring Cities to Reality

No urban study is complete without precise location data. Each city in our dataset is mapped with exact latitude and longitude coordinates, allowing researchers, analysts, and developers to conduct meaningful spatial analysis. This isn’t just a matter of plotting points on a map—it’s about anchoring Eswatini’s human geography in measurable space, usable across a spectrum of applications from emergency planning to market analysis.

Excel Format: A Game-Changer for Accessibility

We’re especially proud to announce the integration of the Excel (xlsx) format into our delivery options. Excel is no longer just a corporate tool—it’s the lingua franca of practical data manipulation across countless sectors. For Eswatini, where local institutions, NGOs, and government offices often rely on user-friendly platforms, Excel bridges the gap between complexity and usability.

With clean rows and intelligently structured columns, our Excel version allows users to filter cities by region, sort by elevation, analyze patterns by department, or visualize distribution with embedded tools. It’s a format that democratizes geographic knowledge.

Complementary Formats for All Use Cases

Alongside Excel, we offer the dataset in CSV, SQL, JSON, and XML formats. Whether you’re integrating into a GIS dashboard, feeding into a mobile app, conducting statistical research, or archiving for long-term policy work, each format is optimized for performance and flexibility. This approach ensures that our data on Eswatini's cities serves coders, analysts, educators, and planners alike.

Why Mapping Eswatini Matters

Geography in Eswatini is more than physical—it’s spiritual, political, and deeply human. Villages and towns often bear historical significance tied to royal lineages or cultural rites. Road networks weave through mountains and valleys, creating connectivity challenges that can only be addressed with solid geographic information.

To understand Eswatini is to understand the placement of people in relation to terrain, resources, and borders. By providing this data in structured, modern formats, we enable deeper insight into how Eswatini lives, moves, and evolves.

Conclusion: A Spatial Lens on the Heart of Southern Africa

Eswatini stands as a testament to the importance of small nations in global geographic narratives. Our comprehensive city database—categorized by region and department, enriched with coordinates, and available in Excel, CSV, SQL, JSON, and XML—opens Eswatini to those who seek clarity, precision, and usability.

In particular, the new Excel format empowers a wider audience to explore, model, and understand this intricate kingdom. With each row of data, we bring Eswatini’s geography to life—structured, discoverable, and deeply respected.

Download Eswatini cities in Excel SQL CSV JSON XML

Access detailed latitude and longitude data for cities in Eswatini, now available in Excel (.xlsx) — plus CSV, SQL, XML, and JSON formats

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