Antarctica cities list with latitude and longitude in CSV format
Antarctica
CSV, SQL, XML, JSON
Last update : 04 October 2024.
This is the best list of 4 cities in the Antarctica 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 Antarctica 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |||
| 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 |
FaQ about Antarctica
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Yes, of course, click here to retrieve an archive containing an extract of the 4 CSV, XML, JSON and SQL files for a country.
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- 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.
You will retrieve a .rar archive containing the country files in csv, sql, xml and json formats.
Yes, you'll be able to download the content you've purchased whenever you want, with no time limit.
Make sure your Internet connection is stable, as some files can be quite large and take a long time to download.
Unfortunately we don't offer files in excel format, but it's really very easy to convert a csv file into excel. There are a plethora of free online sites that allow you to do this, here are a few: click here to convert csv to excel