Antarctica Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Antarctica, 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 4 geographic locations across Antarctica.
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 Antarctica is Unknown.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 6696480 | McMurdo Station | Base McMurdo,Base antarctique McMurdo,Estacao McMurdo,Estacio McMurdo,Estació McMurdo,Estação McMurdo,Mak-Merdo,Makmerdo,McMurdo,McMurdo Statschoon,McMurdo basea,McMurdo-Station,McMurdo-stasjonen,Polarni stanice McMurdo,Polusa stacio McMurdo,Polární stanice McMurdo,Station McMurdo,Stazione McMurdo,maegmeodo giji,mai ke mo duo zhan,makumado ji de,thnt mq-mrdw,Мак-Мердо,Макмөрдо,תחנת מק-מרדו,قاعدة ماك موردو,マクマード基地,麥克默多站,맥머도 기지 | AQ | -77.84632 | 166.66824 | 10 | 1258 | Antarctica/McMurdo | populated place | ||
| 12420904 | Rothera Research Station | Rothera,Rothera Research Station | AQ | -67.56842 | -68.1258 | 4 | 100 | Antarctica/Rothera | populated place | ||
| 12420801 | Amundsen-Scott South Pole Station | Amundsen-Scott South Pole Station,Amundsen–Scott South Pole Station,South Pole | AQ | -90 | 0 | 2835 | 150 | Antarctica/McMurdo | populated place | ||
| 9072762 | Villa Las Estrellas | The Stars Village,Vilja las Estreljasa,Villa Las Estrellas,ビジャ・ラス・エストレージャス | AQ | -62.20001 | -58.96109 | 150 | Antarctica/Palmer | populated place |
Antarctica: Mapping the Edge of the Human World
Geography at the Limits of Habitability
Antarctica is unlike any other territory on Earth. It is not a country in the conventional sense, but for a geographer, it remains one of the most compelling spatial frontiers in existence. A continent of extremes—colder, drier, higher—it is also a place where the very concept of a “city” must be reimagined. Human presence here is seasonal, scientific, and collaborative, organized into international research stations rather than traditional municipalities. And yet, despite its unique governance under the Antarctic Treaty System, Antarctica still demands a meticulous, data-driven approach to its inhabited nodes and territorial divisions.
That’s why I’ve developed a unique and detailed database of the **inhabited locations in Antarctica**, organized by **administrative region equivalents** and including **geospatial coordinates** for each installation. The dataset is available in multiple formats—**Excel (.xlsx)**, **CSV**, **SQL**, **JSON**, and **XML**—with a special focus on the new **Excel format**, which now makes this data usable beyond academia or high-tech environments.
From McMurdo to Concordia: Settlements With a Scientific Pulse
When we speak of “cities” in Antarctica, we refer to research stations—facilities that pulse with life during the summer months and hold on through the long polar winter. McMurdo Station, the largest, is a logistical marvel on the Ross Ice Shelf. Concordia Station, perched in the heart of East Antarctica, is more than a scientific outpost; it’s an experiment in human survival under Mars-like conditions. Other names—Palmer, Neumayer, Vostok, Rothera—are less known to the general public but deeply familiar to those who track the cartography of extreme settlements.
Each station falls within a sector or territorial claim: the Australian Antarctic Territory, Queen Maud Land, the Ross Dependency, and others. Though these regions remain politically neutral under international law, they offer a functional framework for organizing data. This is why my dataset treats them as **regions and departments**, aligning each settlement with its territorial zone while offering **exact latitude and longitude** for accurate spatial analysis.
Why Excel Is the Antarctic Data Format We Needed
While JSON and SQL offer raw structure, and XML satisfies integration demands, **Excel (.xlsx)** is the game-changer—especially for Antarctica. Many of the users who need this information most—environmental agencies, educators, policymakers, logistics planners—don’t live in code. They live in spreadsheets. Excel offers **immediate usability**: filter all stations within a given sector, sort by longitude to identify east-to-west placement, visualize seasonal occupancy across research bases.
Because the dataset is now available in Excel, it's no longer confined to those with GIS platforms or database engineering skills. It’s a tool that fits on the desk of a schoolteacher preparing a lesson on polar climates, or an NGO plotting emergency evacuation corridors for extreme weather events. **Excel makes Antarctica legible**.
Structure in a Land Without Cities
Antarctica challenges our default assumptions about settlement and governance. There are no mayors here, no shopping centers, no suburbs. But there is structure—one based on cooperation, science, and survival. Stations are often co-managed by multiple countries. Supply chains stretch from Cape Town, Christchurch, or Punta Arenas. Communication networks are limited, but functional. And all of this takes place in a gridless, drifting, icy void.
To capture that structure, my dataset doesn’t just log coordinates. It links each inhabited point to its **logical administrative region**, based on international claims and operational geography. This allows for **comparative analysis** and planning that respects how the continent actually works, not just how maps portray it.
A Continent of Data, Waiting to Be Explored
There’s a myth that Antarctica is empty. In reality, it’s filled with data: meteorological, biological, logistical, geopolitical. But none of it makes sense without a spatial framework. By organizing its urbanized nodes—its stations—into a structured, sortable, and shareable format, we open new doors for research and understanding.
And now, with the **Excel format** fully integrated, this data is no longer locked behind academic firewalls or code-heavy interfaces. It’s ready to be used, interpreted, and expanded—by anyone with curiosity, commitment, and a spreadsheet.
Antarctica may be the last continent, but with the right data, it’s no longer beyond reach. It's now something we can navigate, study, and prepare for—with precision.
