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

Lesotho
Lesotho
Excel, CSV, SQL, XML, JSON

Last update : 24 March 2026.

Country
Lesotho
Capital
Maseru
Number of cities
382
Download
Click here

Here you’ll find a curated sample of 100 key cities from Lesotho, 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 382 geographic locations across Lesotho.

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 Lesotho is Maseru.


Geoname_IDCityAlternate_NameCountry_Code RegionSub_regionLatitudeLongitude ElevationPopulationTimezoneFcode_Name
932330 Mpharane LS -30.01667 27.55 0 Africa/Maseru populated place
932837 Foso LS -29.26667 27.56667 0 Africa/Maseru populated place
932287 Nyane Nyane,Saint Anne of Auray LS -29.58096 28.23991 0 Africa/Maseru populated place
932390 Monaheng LS -29.86667 27.71667 0 Africa/Maseru populated place
11258455 Ha Khohlooa LS Berea -29.31567 27.71718 0 Africa/Maseru populated place
11281612 Phahameng LS Mafeteng -29.82922 27.23262 0 Africa/Maseru populated place
11397271 Ha Thibeli LS Leribe -29.17025 28.48071 0 Africa/Maseru populated place
932303 Ntlamas Ntlama,Ntlamas LS -29.17442 27.87541 0 Africa/Maseru populated place
11280617 Upper Thamae LS Maseru -29.33051 27.5128 0 Africa/Maseru populated place
932591 Makhaketsa Makakaitsa,Makhaketsa LS -29.00184 27.75745 0 Africa/Maseru populated place
932709 Lekokoaneng Lehlohonolo,Lekokoaneng LS -29.16433 27.69003 0 Africa/Maseru populated place
7669282 Ramabanta LS Maseru -29.66732 27.78695 0 Africa/Maseru populated place
11205008 Hills View LS Maseru -29.32699 27.47533 0 Africa/Maseru populated place
11280712 Linakeng Ha Mphosi LS Mokhotlong -29.5297 28.78491 0 Africa/Maseru populated place
11427963 Ha Matjotjo LS Berea -29.228 27.869 0 Africa/Maseru populated place
932492 Massabiella Massabiella,Tsiu,Tsius LS -29.53067 27.57716 0 Africa/Maseru populated place
932269 Phamong Griffiths,Phamong LS -30.24809 27.8014 0 Africa/Maseru populated place
932684 Letseng-la-Terae Letseng-la-Draai,Letseng-la-Terae,Terae LS -28.91667 28.81667 0 Africa/Maseru populated place
932625 Lower Qeme LS -29.53242 27.49545 0 Africa/Maseru populated place
932537 Mantsebo LS -29.48333 27.51667 0 Africa/Maseru populated place
932633 Litsilong Litsilong,Majatla LS -29.22257 27.70356 0 Africa/Maseru populated place
932920 Blue Gums Blue Gums,Blue Gums Store LS -30.33952 27.52884 0 Africa/Maseru populated place
932076 Sephapos Gate Sepapo’s,Sepapo’s,Sepapus Gate,Sephapos Gate LS -29.95406 27.21308 0 Africa/Maseru populated place
932051 Tajane Molomo,Tajane,Tayane LS -29.71058 27.48341 0 Africa/Maseru populated place
11427991 Ha Ntsabane LS Berea -29.0919 27.871 0 Africa/Maseru populated place
931946 Tsime LS -28.78831 28.41613 0 Africa/Maseru populated place
11281900 Ha Lethokonyana LS Berea -29.1624 27.8168 0 Africa/Maseru populated place
932067 Seutloali Masoeling,Phatso,Seutloali LS -29.16845 27.95174 0 Africa/Maseru populated place
932423 Mokhathis Makati,Mokhathis LS -29.11667 27.95 0 Africa/Maseru populated place
932680 Letsikas Letsika,Letsikas LS -28.66502 28.4229 0 Africa/Maseru populated place
932012 Thaba Putsoa LS -29.59367 28.06095 0 Africa/Maseru populated place
932367 Mosala Mosala,Mosalas LS -29.72984 27.55707 0 Africa/Maseru populated place
932761 Koeneng LS -29.03333 28 0 Africa/Maseru populated place
932196 Qiloane Qiloane LS -29.35115 27.68291 0 Africa/Maseru populated place
11288636 Ha Mafeto LS Mafeteng -29.69195 27.34022 0 Africa/Maseru populated place
11280717 Qalo LS Butha-Buthe -28.71895 28.31308 0 Africa/Maseru populated place
932771 Khotsi Khotsi,Khotsis,Rakoto LS -29.06107 27.93539 0 Africa/Maseru populated place
11497841 Ha Makhalanyane LS Maseru -29.40572 27.61514 0 Africa/Maseru populated place
11497840 Ha Qacha LS Mohaleʼs Hoek -30.21869 27.81407 0 Africa/Maseru populated place
11258600 Ha Leaoa LS Thaba-Tseka -29.35558 28.57239 0 Africa/Maseru populated place
932061 Siloe LS -29.9541 27.28294 0 Africa/Maseru populated place
931995 Tikoe Leklatsa,Tikoe LS -29.35656 27.46228 0 Africa/Maseru populated place
932636 Lirahalibonoe LS -29.45 27.93333 0 Africa/Maseru populated place
11395391 Ha Hoki LS Leribe -28.936 28.076 0 Africa/Maseru populated place
932003 Thokoa LS -29.02975 27.7731 0 Africa/Maseru populated place
932083 Ha Senekane Senekal,Senekals LS -29.2554 27.72765 0 Africa/Maseru populated place
932000 Thulo Tholo,Thulo LS -29.58907 27.26008 0 Africa/Maseru populated place
932434 Mohlanapeng Mohlanapeng LS -29.59308 28.66963 0 Africa/Maseru populated place
11497839 Ha Fou LS Qachaʼs Nek -29.94395 28.51178 0 Africa/Maseru populated place
932369 Morunyaneng Matedile Store,Matelile,Morunyaneng LS -29.8311 27.53327 0 Africa/Maseru populated place
932433 Mohlehli Bolumatau,Mohlehli LS -29.73885 27.20782 0 Africa/Maseru populated place
11281617 Ha Tlhakanenlo LS Maseru -29.59544 27.47056 0 Africa/Maseru populated place
932424 Mokhalinyane Makadinyane,Mokhalinyane LS -29.48333 27.36667 0 Africa/Maseru populated place
932718 Lejone LS -29.10853 28.48807 0 Africa/Maseru populated place
932005 Theetsoa LS -29.71667 27.9 0 Africa/Maseru populated place
932328 Mphoto LS -29.44536 27.58916 0 Africa/Maseru populated place
932438 Mohale’s Hoek Mohale’s Hoek,Mohale’s Hoek LS Mohaleʼs Hoek -30.15137 27.47691 40040 Africa/Maseru seat of a first-order administrative division
932460 Mekaling Mekading,Mekaling,Nkeleng LS -30.29135 27.48781 0 Africa/Maseru populated place
932271 Phafoli Phafoli,Phafudi LS -29.80576 27.67746 0 Africa/Maseru populated place
932894 Botsabelo Botsabelo,Botsabelo Asylum LS -29.26667 27.51667 0 Africa/Maseru populated place
932397 Moliboeas Modiboea,Moliboeas LS -28.9 28.1 0 Africa/Maseru populated place
11427335 Ha Sikara LS Quthing -30.39907 27.7006 0 Africa/Maseru populated place
932046 Teba Qhoobeng,Teba,Theba LS -29.96845 27.88103 0 Africa/Maseru populated place
932608 Mahatlanes Mahatlames,Mahatlane,Mahatlanes LS -29.20855 27.84178 0 Africa/Maseru populated place
11103714 Motse-Mocha LS Maseru -29.43023 27.55235 0 Africa/Maseru populated place
11288672 Ha Majake LS Mafeteng -29.67838 27.24018 0 Africa/Maseru populated place
932035 Teyateyaneng Teyateyaneng LS Berea -29.14719 27.74895 5115 Africa/Maseru seat of a first-order administrative division
931951 Tsiame Likotsi,Lipolisa,Tsiame LS -29.38849 27.45833 0 Africa/Maseru populated place
932428 Moitsupelis LS -29.58333 27.76667 0 Africa/Maseru populated place
11497842 Mankoaneng LS Leribe -28.8687 28.04039 0 Africa/Maseru populated place
11281897 Ha Katu LS Maseru -29.4629 27.6039 0 Africa/Maseru populated place
932730 Kueneng Kueneng LS -29.07472 28.00787 0 Africa/Maseru populated place
932878 Cutting Camp LS -30.26667 27.75 0 Africa/Maseru populated place
932488 Mateka Mateka,Matekas LS -29.23333 27.88333 0 Africa/Maseru populated place
932183 Quthing Cguting,Moyeni,Quthing,UTG,Цгутинг LS Quthing -30.40001 27.70027 27314 Africa/Maseru seat of a first-order administrative division
11205706 Mafikeng LS Maseru -29.45349 27.71376 0 Africa/Maseru populated place
932814 Hobsons LS -29.11667 27.96667 0 Africa/Maseru populated place
932603 Mahloenyeng Lehloenyas,Lehlonia,Mahloenyeng LS -29.5689 27.55126 0 Africa/Maseru populated place
7670817 ha Makhoroana LS Berea -29.15881 28.03563 0 Africa/Maseru populated place
11204674 Ha-Seoli LS Maseru -29.37135 27.50813 0 Africa/Maseru populated place
932166 Ramosoeu Ramosoeu,Ramosueu LS -29.90776 27.52446 0 Africa/Maseru populated place
932882 Chere Chere,Cheri LS -29.60234 27.17003 0 Africa/Maseru populated place
932177 Rafolatsane Rafolatsana,Rafolatsane LS -29.34799 29.00679 0 Africa/Maseru populated place
932248 Pitseng Pitseng LS -29.00699 28.21328 0 Africa/Maseru populated place
932808 Joel Joel,Joels LS -28.68333 28.28333 0 Africa/Maseru populated place
932118 Seetsas LS -28.90035 28.17516 0 Africa/Maseru populated place
11287587 Boinyatso LS Butha-Buthe -28.782 28.465 0 Africa/Maseru populated place
932286 Old Mohales Hoek Old Mohales Hoek,Old Mohales Hoek Store LS -30.10729 27.47549 0 Africa/Maseru populated place
932435 Mohlakoanas Mahlakoanas,Mohlakoanas,Mohlakwana LS -30.21788 27.93939 0 Africa/Maseru populated place
11377124 Phelandaba LS Butha-Buthe -28.76322 28.50266 0 Africa/Maseru populated place
11257389 Ha Mokati LS Leribe -28.9628 27.901 0 Africa/Maseru populated place
932129 Schoolplaats LS -30.3 27.5 0 Africa/Maseru populated place
11287864 Ha Setala LS Thaba-Tseka -29.67801 28.81315 0 Africa/Maseru populated place
932077 Sepechele LS -29.79628 27.36526 0 Africa/Maseru populated place
932575 Makojang Makojang,Makoyang LS -29.93333 27.73333 0 Africa/Maseru populated place
11428275 Thabong I LS Thaba-Tseka -29.50911 28.5931 0 Africa/Maseru populated place
932391 Molumong LS -29.32551 28.98931 0 Africa/Maseru populated place
932389 Monantsa LS -28.56667 28.63333 0 Africa/Maseru populated place
932065 Sibi Sibi LS -29.89628 27.82006 0 Africa/Maseru populated place
932614 Mafeteng MFC,Mafeteng LS Mafeteng -29.82299 27.23744 39754 Africa/Maseru seat of a first-order administrative division

Lesotho’s Cities in the Sky: Mapping the Kingdom in the Clouds

A Nation Defined by Altitude and Precision

Lesotho, the only sovereign country in the world entirely above 1,000 meters in elevation, defies geographic norms. Encircled by South Africa, it is a landlocked enclave that turns remoteness into identity. With its rugged mountains, deep valleys, and plateau settlements, Lesotho is a case study in how geography shapes society—from settlement patterns to infrastructure, agriculture, and access to services.

As a geographer, I’ve always viewed Lesotho as more than a cartographic curiosity. It’s a country whose development and resilience are intimately linked to its topography and spatial structure. That’s precisely why I created a comprehensive, up-to-date, and rigorously structured city database for Lesotho—because understanding this nation demands data that matches its unique elevation and complexity.

Decoding the Local Grid: Regions and Districts with Clarity

While many international datasets lump Lesotho’s settlements into generic categories, our work makes the crucial distinction between **regions and departments**—in this case, districts. Lesotho is divided into ten districts, each with a distinctive terrain, economy, and administrative character. Cities like Maseru, Leribe, and Quthing are not interchangeable nodes—they are hubs defined by climate, access to resources, and historical trade routes.

In our dataset, each city and town is assigned to its correct district with precision. This isn’t simply about order—it’s about enabling meaningful spatial analysis. Whether you're an NGO planning logistics, a researcher studying rural accessibility, or a policymaker assessing service delivery, the structure of the data is your first tool for insight.

Geographic Coordinates: The Backbone of Spatial Understanding

No modern geographic analysis is complete without accurate **latitude and longitude** data. Lesotho’s mountainous terrain means that the elevation and orientation of a village can drastically affect its weather patterns, agricultural productivity, or flood risk. Mapping its settlements with pinpoint precision opens new doors for planning and risk mitigation.

Our database includes these coordinates for every populated locality, allowing for integration into GIS software, environmental models, or route optimization platforms. But raw data alone isn’t enough—it needs to be accessible.

The Excel Leap: Making Geographic Data Universally Usable

One of the most impactful changes we’ve made this year is offering our Lesotho city dataset in **Excel (.xlsx)** format.

Why is this so significant? Because Excel is the bridge between technical depth and universal usability. With this format, users can explore and manipulate data without needing programming skills or database infrastructure. Educators, local officials, development agencies, and students can sort cities by district, filter by altitude, or visualize distribution patterns—all within a familiar spreadsheet environment.

Excel brings order to complexity. It transforms raw geodata into an intuitive tool for decision-making, planning, and communication.

Multiple Formats for Maximum Flexibility

While Excel is now the centerpiece, our Lesotho city dataset is also available in other formats for users with technical requirements:

* **CSV** for lightweight processing and cross-platform compatibility

* **SQL** for database integration and large-scale querying

* **JSON** for dynamic applications and web-based interfaces

* **XML** for structured data exchange in complex systems

Each format ensures that the data isn’t just available—it’s actionable.

Why Lesotho’s City Data Matters More Than Ever

From climate adaptation strategies to rural health delivery, the need for reliable, structured data on Lesotho’s settlements has never been greater. Development challenges in mountainous regions are fundamentally geographic: roads that vanish under snow, communities cut off by landslides, and uneven access to clean water. Solutions begin with understanding where people live and how those places are connected.

Our city dataset offers that foundation. It’s not a map—it’s a lens. Through it, we see the contours of Lesotho not as abstract lines, but as lived spaces, interdependent and evolving.

Conclusion: A Geography of Connection, Not Isolation

Lesotho may be remote in its physical position, but its cities are deeply connected—by river valleys, mountain passes, and now, by structured data. By offering a richly detailed, regionally accurate city database—especially in Excel format—we’re helping bridge the gap between geography and action.

For researchers, planners, and developers, this isn’t just information. It’s infrastructure. It’s insight. It’s the first step toward any serious endeavor in the Kingdom in the Sky.

Download Lesotho cities in Excel SQL CSV JSON XML

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

List of countries :

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