World Cities provides a basemap layer for the cities of the world. The cities include national capitals, provincial capitals, major population centers, and landmark cities. Population estimates are provided for those cities listed in open source data from the United Nations Statistics Division, United Nations Human Settlements Programme, and U.S. Census Bureau.

Source

The data file is from https://simplemaps.com/data/world-cities.

List of the world's major cities (above 15,000 inhabitants)

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Dataset containing city, country, region, and continents alongside their longitude and latitude co-ordinates. Cartesian coordinates are provided in x, y, z features.

About Dataset

All cities with a population seat of adm div (ca 80.000)Sources and Contributions Sources: GeoNames is aggregating over hundred different data sources. Ambassadors: GeoNames Ambassadors help in many countries. Wiki: A wiki allows you to view the data, quickly fix errors, and add missing places. Donations and Sponsoring: Costs for running GeoNames are covered by donations and sponsoring.enrichment:add country name

Context

Name Country Code Country Name Timezone Population Latitude Longitude Acknowledgments These data come from Maxmind.com and have not been altered. The original source can be found by clicking here

Additionally, Reference https://download.geonames.org/export/dump/ Attributions https://www.geonames.org/about.html

This dataset provides a comprehensive overview of the population statistics for 800 largest cities in the world, detailing the population estimates for the years 2023 and 2024. Additionally, it includes the calculated growth rate for each city over this period. This dataset can be instrumental for urban studies, demographic analysis, and economic research. Columns Description • City: The name of the city. • Country: The country where the city is located. • Population (2024): Estimated population of the city for the year 2024. • Population (2023): Estimated population of the city for the year 2023. • Growth Rate: The rate of population growth from 2023 to 2024. This is calculated as the difference between the 2024 and 2023 populations, divided by the 2023 population.

This dataset lists cities which consists of above 15,000 inhabitants. Each city is associated with its country and sub-country to reduce the number of ambiguities. Subcountry can be the name of a state (eg in the United Kingdom or the United States of America) or the major administrative section (eg "region" in "France").

The data is from:

https://simplemaps.com/data/world-cities

We're proud to offer a simple, accurate and up-to-date database of the world's cities and towns. We've built it from the ground up using authoritative sources such as the NGIA, US Geological Survey, US Census Bureau, and NASA.

Our database is:

• Up-to-date: It was last refreshed in July 2021.
• Comprehensive: Over 4 million unique cities and towns from every country in the world (about 41 thousand in basic database).
• Accurate: Cleaned and aggregated from official sources. Includes latitude and longitude coordinates.
• Simple: A single CSV file, concise field names, only one entry per city.

World Cities Dataset

About this Dataset

This is the most accurate and complete database of major places on earth

defined as

('continent','country','state', 'city','town','region','county', 'village')

Data fields

country_code, latitude,longitude, name, (multi-lingual) place_id, parent_place_id, linked_place_id, importance, geometry_sector, rank_address, rank_search, osm_id, osm_type, class, type, admin_level, address, extratags, area, wikipedia, token_info, housenumber, postcode

sample data available at https://4.ipv6.systems/data/basic_places.csv.zip

Category

Location Lists

Keywords

cities of world,world locations,world places,places,coordinates

Row Count

1614395

Price

$50.00

GLA 2016 - World cities data.

🌍 Ultimate Geographic Data Collection | Cities & Zip Codes

📌 Overview

Welcome to the Ultimate Geographic Data Collection, a comprehensive dataset providing valuable geographic insights. This dataset includes U.S. Zip Codes, U.S. Cities, and World Cities data, making it an essential resource for developers, data analysts, and researchers. Whether you're building location-based applications, conducting geographic analysis, or working on machine learning projects, this dataset offers an extensive and curated collection of location-based information.

📊 What's Inside?

• U.S. Zip Codes Database (Free Version) 🏙️

  • Includes ZIP codes, state associations, and geographic coordinates.
  • 🔗 Usage Condition: Requires a visible backlink to SimpleMaps US Zip Code Database.

• U.S. Cities Database (Free Version) 🌆

  • Includes city names, state information, latitude, longitude, and population data.
  • 🔗 Usage Condition: Requires a visible backlink to SimpleMaps US Cities Database.

• Basic World Cities Database 🗺️

  • Provides global city data licensed under Creative Commons Attribution 4.0.
  • 📜 Learn more: CC BY 4.0 License.

• Comprehensive & Pro World Cities Database (Density Data) 🌎

  • Population density estimates sourced from CIESIN - Columbia University.
  • 🔗 Licensed under Creative Commons Attribution 4.0 with no additional restrictions.

⚖️ License & Usage Terms

• ✅ You CAN:

  • Use this dataset in private and public-facing applications.
  • Create copies and backups for your projects.
  • Transfer the license (with provider approval via email).

• 🚫 You CANNOT:

  • Redistribute the dataset publicly without written permission.
  • Use it in a way that violates any laws.
  • Bypass the backlink requirement (for free U.S. Zip Code & Cities Databases).

🛠️ How to Use

1. Download the dataset 📥.
2. Ensure compliance with licensing terms.
3. Use it in your projects for analysis, visualization, or machine learning.
4. Provide attribution (if applicable) for free datasets.

⚠️ Disclaimer

• This dataset is provided "AS IS", without any warranties.
• The provider is not liable for any issues arising from usage.
• Users are responsible for ensuring legal compliance in their jurisdiction.

🔥 Get Started!

Enhance your geographic projects with this powerful dataset today! 🚀

📩 For any inquiries, licensing requests, or attribution clarifications, contact the dataset provider.

This dataset provides a list of all cities, towns, and villages in the world, according to the data extracted from the OpenStreetMap. Along with the city name, the location, country and continent are also provided. The data come in a single-file format, with fields separated by tabs.

Please refer to README.md for further information.

Context

This dataset is meant to be used with other datasets that have features like country and city but no latitude/longitude. It is simply a list of cities in the world. Being able to put cities on a map will help people tell their stories more effectively. Another way to think about it is that you can use this make more pretty graphs!

Content

Fields:

• city
• region
• country
• population
• latitude
• longitude

Acknowledgements

These data come from Maxmind.com and have not been altered. The original source can be found by clicking here

Additionally, the Maxmind sharing license has been included.

Inspiration

I wanted to analyze a dataset and make a map, but I was only given a city name without any latitude or longotude coordinates. I found this dataset very helpful and I hoe you do too!

This dataset, worldcities.csv is a comprehensive collection of geographic and demographic data for 44,383 cities worldwide, spanning 127+ countries. Sourced independently, it includes 10 columns: city, city_ascii, lat, lng, country, iso2, iso3, admin_name, capital, and population. With India (15%) and the US (11%) leading the pack, and cities like Tokyo (37.7M) and Jakarta (33.8M) topping population charts, it’s a goldmine of real-world coordinates (lat: -54.9 to 81.7, lng: -180 to 179) and stats. I used this as a foundation to generate synthetic geo-tagged tweet data (geo_gpt_tweets_8.2-10.json), pulling lat, lng, and country to anchor 1,000 GPT-related posts in realistic locations—achieving an 82% real-world chaos vibe. Perfect for mapping, clustering, or seeding your own geo-based projects!

This data is licensed under the Creative Common Attribution License as is the original data from https://www.geonames.org/. This means you have to credit geonames when using the data. The data was taken from https://github.com/datasets/world-cities/ and modified to be entirely full of lies.

Dataset

This dataset was created by rodrigo vargas

Contents

About Dataset

All cities with a population seat of adm div (ca 80.000)Sources and Contributions Sources: GeoNames is aggregating over hundred different data sources. Ambassadors: GeoNames Ambassadors help in many countries. Wiki: A wiki allows you to view the data, quickly fix errors, and add missing places. Donations and Sponsoring: Costs for running GeoNames are covered by donations and sponsoring.enrichment:add country name

Context

• Feature Code
• Country Code
• Country Name
• City Name
• Region
• Population
• Latitude
• Longitude #Acknowledgments These data come from Maxmind.com and have not been altered. The original source can be found by clicking here

Additionally, Reference https://download.geonames.org/export/dump/ Attributions https://www.geonames.org/about.html

The highest city in the world with a population of more than one million is La Paz. The Capital of Bolivia sits ***** meters above sea level, and is more than 1,000 meters higher than the second-ranked city, Quito. La Paz is also higher than Mt. Fuji in Japan, which has a height of 3,776 meters. Many of the world's largest cities are located in South America. The only city in North America that makes the top 20 list is Denver, Colorado, which has an altitude of ***** meters.