World cities database with latitude and longitude

World Cities Database
CSV, SQL, XML, JSON

Last update : 04 October 2024.

All Countries
World
Number of countries
245
Number of cities
4 510 988
Download
Click here

Presentation of our World cities database of 4 510 988 towns around the world, accessible in four distinct formats: CSV, Json, SQL and XML. We have refined the Geoname database to show only metropolises, administrative centres and villages. All this data is carefully linked to geographical areas and sub-divisions, where available.

Each document provides information such as: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. For clarification on these elements, please consult our FAQ section below.

The World cities database contains data for every city in the world in separate files. Each archive contains data for a specific country. Here is an example of what can be found in a file:

Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
1139546Jangal-e MukhnōyJangal-e Mukhnoy,Jangal-e Mukhnuy,Jangal-e Mukhnōy,Jangal-e Mukhnūy,jngl mkhnwy,جنگل مخنویAFTakharWarsaj36.1868570.136910Asia/Kabulpopulated place
7582712ĀhangarānAhangaran,ahngran,Āhangarān,آهنگرانAFKabulSurobi34.5836769.733110Asia/Kabulpopulated place
1423395Bāqī KhēlBakikheyl’,Bakikheyl’,Baqi Khel,Baqikheyl,Bāqī Khēl,Bāqīkheyl,baqy khyl,باقی خيل,باقی خېلAFParwanJabal us Sarāj35.1279169.267080Asia/Kabulpopulated place
1138123Karīm KhēlKarim Khel,Karim Kheyl,Karimkhel,Karimkheyl’,Karimkheyl’,Karīm Kheyl,Karīm Khēl,Kaṟīmkhēl,krym khyl,كريم خيل,کریم خېلAFKapisaḨişah-ye Awal-e Kōhistān35.1069869.362880Asia/Kabulpopulated place
1121453WunchalātOwnchalat,Ownchalāt,Wuncalat,Wuncalāt,Wunchalat,Wunchalāt,awnchlat,wnchlat,اونچلات,ونچلاتAFFaryabMaīmanah35.8986364.825080Asia/Kabulpopulated place
1462103YārdādYardad,Yārdād,yardad,یاردادAFGhazniNāwur34.0459767.338780Asia/Kabulpopulated place
1143316DilakchīDelakchi,Delakchī,Delakci,Delakči,Dilakchi,Dilakchī,dlk chy,dlkchy,Дилакчи,دلكچی,دلک چیAFGhazniJāghūrī33.0354667.626920Asia/Kabulpopulated place
1149523Āb-e KhānahAb-e Khanah,Abi Khana,Abi Khaneh,Abi Khāna,Abī Khāneh,ab khanh,Āb-e Khānah,آب خانهAFBalkhChahār Kent36.4341467.144050Asia/Kabulpopulated place
1457224BōjīBodzhi,Boji,Buji,Bōji,Bōjī,Būjī,bwjy,بوجیAFMaidan Wardak ProvinceNirkh34.3250368.704570Asia/Kabulpopulated place
1132641MūrichāqMar-o-Chak,Maricaq,Maruchak,Marūchāk,Muricaq,Murichaq,Mār-o-Chāk,Māricāq,Mūrichāq,Mūrīchāq,Mūṟicāq,mwrchaq,mwrychaq,موريچاق,مورچاقAFBadghisMurghāb35.810463.142650Asia/Kabulpopulated place
1120922Zard JōyZard Joy,Zard Jōy,Zarddzhoy,Zardjoy,Zardjuy,Zardjūy,Zaṟḏjōy,zrd jwy,زرد جویAFMaidan Wardak ProvinceMarkazi Bihsud34.1743267.881570Asia/Kabulpopulated place
1435689WārêhVara,Wareh,Waṟeh,Wārêh,warh,وارهAFGhazniGēlān32.8444867.589040Asia/Kabulpopulated place
1142510IraghlīEraghli,Eraghlī,Iraghli,Iraghlī,arghly,ارغلیAFJowzjanShibirghān36.7496765.868410Asia/Kabulpopulated place
1121973ŪlastānOwlastan,Owlastān,Ulastan,awlstan,Ūlastān,اولستانAFFarahPur Chaman33.3505963.378630Asia/Kabulpopulated place
1132075Nāw-e TangNaw-e Tang,Nawe Tang,Now-e Tang,Nāw-e Tang,naw tng,nw tng,ناو تنگ,نو تنگAFGhowrChahār Şadah35.1925965.134040Asia/Kabulpopulated place
1467949Khwāb SārīKhvab Sari,Khvāb Sāṟi,Khwab Sari,Khwāb Sārī,Khwāb Sāṟi,khwab sary,خواب ساریAFBadakhshanArgō37.0103870.314450Asia/Kabulpopulated place
1146930BārīkīBarik,Barik-e,Bariki,Bārīk-e,Bārīkī,Bāṟik,Bāṟiki,baryky,باریکیAFGhowrLa‘l wa Sar Jangal34.4322966.050370Asia/Kabulpopulated place
1468912Ḏāg KêlayDag Kalay,Dag Kelay,Dagkalay,Dāg Kalay,Dāg Kêlay,قريۀ داگ,ډاگ کلی,Ḏāg KêlayAFNangarharKāmah34.4290270.551270Asia/Kabulpopulated place
1462156Bālānah TakhakBalana Takhak,Balanah Takhak,Balanatakhak,Balaneh Takhak,Bālāna Takhak,Bālānah Takhak,Bālāneh Takhak,balanh tkhk,بالانه تخکAFBamyanWaras̄34.2188567.021830Asia/Kabulpopulated place
1138580Kalān QōlKalan Qol,Kalanqol,Kalanqowl,Kalān Qōl,Kalānqowl,Kalānqōl,klan qwl,کلان قولAFDaykundiMīr Āmōr33.8880666.813440Asia/Kabulpopulated place

To give you an idea of the content, here is a sample of the information included in the global file. You can retrieve a representative extract for a particular nation, in formats such as CSV, XML, JSON and SQL :


>> DOWNLOAD AN ARCHIVE CONTAINING A SAMPLE <<



World cities database: Your Ultimate World Country Database

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Why choose the World cities database?

  • Comprehensive: Our database covers every country in the world. From Afghanistan to Zimbabwe, we've got it all.
  • Detailed data: Each city is associated with precise data from GeoNames. Take advantage of information such as country code, latitude, longitude and much more.
  • Regular updates: We understand how essential up-to-date data is. That's why our database is regularly updated to reflect changes in geography or demographics.

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The World cities database is formatted for easy integration. Whether you use SQL, Excel or any other data analysis tool, you can easily exploit the information provided.

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Conclusion

Whether you're a large enterprise, a freelance researcher or a geography enthusiast, the World cities database is the perfect resource for all your geographic data requirements. Join thousands of satisfied users and download the World Pack now to access all the countries in the world!

FaQ about World cities database

Once you have placed your order, you can download the product straight away! You'll also immediately receive an order confirmation email in which you can download your product. Remember to check your spam.
Don't panic, just log back in to the site and click on "your account" in the menu. You'll be able to find all your orders and re-download them whenever you like.
Yes, of course, click here to retrieve an archive containing an extract of the 4 CSV, XML, JSON and SQL files for a country.
Absolutely! You can pay with paypal or stripe in total security.
  • 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

List of countries :

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With the aim of delivering reliable information, based on quality sources such as Geoname, we, a team of passionate geographers, have created this site. To enable you to obtain databases at very competitive prices.