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

World Cities Database from Simplemaps

Courtesy of https://simplemaps.com/data/world-cities, Basic database (~48k cities) as of Jul 11, 2025

This world cities layer presents the locations of many cities of the world, both major cities and many provincial capitals.Population estimates are provided for those cities listed in open source data from the United Nations and US Census.

The World Cities Culture Forum, established in 2012, is a leading global network of civic leaders from over 40 creative cities across six continents, representing a combined population of over 245 million. The forum fosters collaborations to place culture at the core of urban development, addressing 21st-century challenges such as climate change, affordable workspaces, cultural tourism, and diversity in public spaces. Through its Global Summit, partnerships, and programs like the Leadership Exchange Programme and Digital Dialogue Masterclasses, the forum promotes cultural integration in city planning. The World Cities Culture Report 2022 provides comprehensive open-source data on culture, including over 60 datasets from 40 cities. Contextual Data: Includes demographics such as characteristics of the overall and working-age populations (including percent who were foreign born) and of the geographical area, such as the percentage of national population living in the city and the percentage of the area devoted to parks and other public green spaces. Cultural Infrastructure: Provides counts (and rates) of various facilities and venues, including art galleries, artists' studios, rehearsal spaces, bars, bookshops, cinemas, community centers, concert halls, museums, nightclubs, libraries, video game arcades, and theatres. Participation and Tourism: Focuses on cultural participation metrics, such as cinema and theatre admissions, festival attendance, museum visits, average daily attendance at the top five art exhibits, and international tourist numbers. Creative Economy: Encompasses data on book publishing, creative industries employment, film festivals, restaurant ratings, and performances. Education: Includes statistics on public library book loans, higher education levels, international student enrollment, and specialist institutes in art and design education. The source for each number is identified within the dataset. Data users can freely download selected datasets as .csv files.

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").

World Cities provides a base map layer of the cities for the world. The cities include national capitals, provincial capitals, major population centers, and landmark cities.

These data were originally assembled for a D.Phil. at the University of Oxford, which has now been published as a monograph. If you would like to cite this material, please refer to my book: Hanson, J. W., (2016), An Urban Geography of the Roman World, 100 B.C. to A.D. 300, (Oxford: Archaeopress). More information about how urbanism was defined, how the catalogue was compiled, how the size of the inhabited area of each site was measured, and other details can be found in the same work. These data are not intended to be final and reflect the state of knowledge in the field in 2016.

It is estimated that more than 8 billion people live on Earth and the population is likely to hit more than 9 billion by 2050. Approximately 55 percent of Earth’s human population currently live in areas classified as urban. That number is expected to grow by 2050 to 68 percent, according to the United Nations (UN).The largest cities in the world include Tōkyō, Japan; New Delhi, India; Shanghai, China; México City, Mexico; and São Paulo, Brazil. Each of these cities classifies as a megacity, a city with more than 10 million people. The UN estimates the world will have 43 megacities by 2030.Most cities' populations are growing as people move in for greater economic, educational, and healthcare opportunities. But not all cities are expanding. Those cities whose populations are declining may be experiencing declining fertility rates (the number of births is lower than the number of deaths), shrinking economies, emigration, or have experienced a natural disaster that resulted in fatalities or forced people to leave the region.This Global Cities map layer contains data published in 2018 by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It shows urban agglomerations. The UN DESA defines an urban agglomeration as a continuous area where population is classified at urban levels (by the country in which the city resides) regardless of what local government systems manage the area. Since not all places record data the same way, some populations may be calculated using the city population as defined by its boundary and the metropolitan area. If a reliable estimate for the urban agglomeration was unable to be determined, the population of the city or metropolitan area is used.Data Citation: United Nations Department of Economic and Social Affairs. World Urbanization Prospects: The 2018 Revision. Statistical Papers - United Nations (ser. A), Population and Vital Statistics Report, 2019, https://doi.org/10.18356/b9e995fe-en.

Based on a collection of estimates, over the past 9,000 years, there have been at least 48 cities with a claim to the title of "the world's most populous city". While these can be found on four separate continents, the majority are concentrated in three major regions; 12 of these cities were in present-day Iraq or Syria (then-Mesopotamia), nine were in China, and seven in Egypt. Additionally, many of these cities were found across the Mediterranean, not only during Antiquity (Alexandria, Carthage, and Rome), but also during the Middle Ages (Constantinople, Cordova, and Fez), highlighting the economic significance of this region throughout history.

Many of the older entries in this list are now just archeological sites, although several have been continuously inhabited for millennia, such as Luoyang and Xi'an in China, which both have populations of several million in 2022. It may also be possible that the first entry, Jericho, is the world's oldest, continuously inhabited settlement, although this is a topic of debate.

Dataset

This dataset was created by Adrian Zinovei

Released under ODC Public Domain Dedication and Licence (PDDL)

Contents

Dataset

This dataset was created by Mina Boulos

Contents

# Replication code and data for: Tracking green space along streets of world cities
By Giacomo Falchetta and Ahmed T. Hammad
Preprint: https://doi.org/10.21203/rs.3.rs-3916891/v1

To replicate the analysis, the results, and the figures of the paper:

• Download input data from this Zenodo repository
• *Optional steps* (processed output data are already available in this Zenodo repository):
  • Run [lines 1-7] of workflow/sourcer.R
  • Run the .js scripts in Google Earth Engine (training_data_sentinel_gee.js, training_data_era5_gee.js, training_data_lc_gee.js, training_data_pop_gee.js, prediction_data_gee.js) and complete the export to Drive tasks to generate the output .csv files
• Run workflow/sourcer.R [from line 9-37] to train the ML model and make predictions (including figures and tables replication)

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To make on-demand urban green space GVI estimation for user-inputed coordinate points:

• Configure the rgee package on your local computer
• Update your Google Earth Engine-enabled email in [line 7] of the script workflow/on_demand_gvi_estimator.R
• Define your custom set of coordinate points in [line 41] of the script workflow/sourcer.R
• Run workflow/sourcer.R [line 42] to make on-demand urban green space GVI estimation and visualize results

A listing of all the cities in the world

This datasets contains 47,605 cities from around the world. The latest version can be found and filtered differently on: https://www.workwithdata.com/datasets/cities Similar datasets can be found on: https://www.workwithdata.com

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.

Dataset

This dataset was created by Anastasia Golosova

Contents

Content

In this dataset you can find hundreds of thousands of the largest cities in the world and info about their latitude, longitude, timezone, location, etc.

Acknowledgements

This data comes from https://data.world/fiftin/cities/workspace/file?filename=RU.txt.

List of major cities in the world, the data is extracted from geonames, a very exhaustive list of worldwide toponyms. This datasete only list cities above 15,000 inhabitants. Each city is associated with its country and subcountry to reduce the number of ambiguities. Subcountry can be the name of a state (eg in United Kingdom or the United States of America) or the major administrative section (eg ‘‘region’’ in France’’). See admin1 field on geonames website for further info about subcountry.

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.

The "Major Cities" layer is derived from the "World Cities" dataset provided by ArcGIS Data and Maps group as part of the global data layers made available for public use. "Major cities" layer specifically contains National and Provincial capitals that have the highest population within their respective country. Cities were filtered based on the STATUS (“National capital”, “National and provincial capital”, “Provincial capital”, “National capital and provincial capital enclave”, and “Other”). Majority of these cities within larger countries have been filtered at the highest levels of POP_CLASS (“5,000,000 and greater” and “1,000,000 to 4,999,999”). However, China for example, was filtered with cities over 11 million people due to many highly populated cities. Population approximations are sourced from US Census and UN Data. Credits: ESRI, CIA World Factbook, GMI, NIMA, UN Data, UN Habitat, US Census Bureau Disclaimer: The designations employed and the presentation of material at this site do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.