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TwitterThe data file is from https://simplemaps.com/data/world-cities.
| fieldname | description |
|---|---|
| city | The name of the city/town as a Unicode string |
| city_ascii | city as an ASCII string (e.g. Goiania). Left blank if ASCII representation is not possible. |
| lat | The latitude of the city/town. |
| lon | The longitude of the city/town. |
| country | The name of the city/town's country. |
| iso2 | The alpha-2 iso code of the country. |
| iso3 | The alpha-3 iso code of the country. |
| admin_name | The name of the highest level administration region of the city town (e.g. a US state or Canadian province). Possibly blank. |
| capital | Blank string if not a capital, otherwise: primary - country's capital (e.g. Washington D.C.) admin - first-level admin capital (e.g. Little Rock, AR) minor - lower-level admin capital (e.g. Fayetteville, AR) |
| population | An estimate of the city's urban population. Only available for some (prominent) cities. If the urban population is not available, the municipal population is used. |
| id | A 10-digit unique id generated by SimpleMaps. We make every effort to keep it consistent across releases and databases (e.g. U.S Cities Database). |
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TwitterWe'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.
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TwitterThis 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!
Fields:
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.
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!
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TwitterWorld 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.
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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.
U.S. Zip Codes Database (Free Version) 🏙️
U.S. Cities Database (Free Version) 🌆
Basic World Cities Database 🗺️
Comprehensive & Pro World Cities Database (Density Data) 🌎
✅ You CAN:
🚫 You CANNOT:
Enhance your geographic projects with this powerful dataset today! 🚀
📩 For any inquiries, licensing requests, or attribution clarifications, contact the dataset provider.
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Twitterhttps://www.instarank.com/terms-conditionshttps://www.instarank.com/terms-conditions
Official UN Statistics Division city population data with yearly trends. Source: United Nations Population Division. Ideal for international market research, global city pages, and population analytics.
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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
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Full Database of city state country available in JSON, SQL, PSQL, XML, YAML & CSV format. All Countries, States & Cities are Covered & Populated with Different Combinations & Versions.
🎉 Introducing API for Countries States Cities Database.
| File | JSON | SQL | PSQL | XML | YAML | CSV |
|---|---|---|---|---|---|---|
| Regions | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Subregions | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Countries | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| States | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Cities | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Country+States | :white_check_mark: | NA | NA | :white_check_mark: | :white_check_mark: | NA |
| Country+Cities | :white_check_mark: | NA | NA | :white_check_mark: | :white_check_mark: | NA |
| State+Cities | :white_check_mark: | NA | NA | :white_check_mark: | :white_check_mark: | NA |
| Country+State+Cities/World | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | NA |
https://dr5hn.github.io/countries-states-cities-database/
Total Regions : 6 Total Sub Regions : 22 Total Countries : 250 Total States/Regions/Municipalities : 5,084 Total Cities/Towns/Districts : 150,573
This Countries States Cities Database is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License.
:+1::tada: First off, thanks for your interest in contributing! :tada::+1:
If you want to contribute to the database, please follow the guidelines outlined below:
sql/world.sql > cities Table.sql/world.sql > states Table.sql/world.sql > countries Table.sql/world.sql > regions Table.sql/world.sql > subregions Table.Please make sure to review the guidelines before making any contributions. They will help ensure that your contributions align with the project's standards and make the process smoother for everyone involved.
You can find the detailed contribution guidelines here.
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As always, thanks to our amazing contributors!
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TwitterThis dataset was created by rodrigo vargas
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TwitterThis world cities layer presents the locations of major cities of the world.To download the data for this layer as a layer package for use in ArcGIS desktop applications, please refer to World Cities.
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This research, designed by the World Bank, and supported by the Department for International Development (DFID), aims to highlight the unprecedented transformation of the urban systems in the ECA region in the last decades, and to look at this shifts from the demographic, economic, and spatial prospectives. Cities in ECA database comprises data from 5,549 cities in 15 countries of the Eastern Europe and Central Asia region, as defined by the World Bank Group, and from the United Kingdom and Germany. Database information for each city is in three dimensions: demographic, spatial, and economic. The starting point to construct the Cities in ECA database was to obtain from each of the countries the list of official cities and these cities' population data. Population data collected for cities falls on or around three years: 1989, 1999, and 2010 (or the latest year available). The official list of "cities" was geo-referenced and overlaid with globally-available spatial data to produce city-level indicators capturing spatial characteristics (e.g., urban footprint) and proxies for economic activity. City-level spatial characteristics, including urban footprints (or extents) for the years 1996, 2000, and 2010 and their temporal evolution, were obtained from the Global Nighttime Lights (NTL) dataset. City-level proxies for economic activity were also estimated based on the NTL dataset. Nighttime Lights (NLS) data is produced by the Defense Meteorological Satellite Program (DMSP) - Optical Line Scanner (OLS) database and maintained by the National Oceanic and Atmospheric Administration (NOAA).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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
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TwitterThis dataset was created by Vukašin Višković
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TwitterThis city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
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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.
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TwitterThis 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!
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TwitterUrban Agglomerations with 10 000 000 Inhabitants or more in 2015 and 2030. Data source: United Nations, Department of Economic and Social Affairs, Population Division, 2018. Thematic map prepared by GRID - Warsaw.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Tool for Rapid Assessment of City Energy (TRACE) is a decision-support tool designed to help cities quickly identify under-performing sectors, evaluate improvement and cost-saving potential, and prioritize sectors and actions for energy efficiency (EE) intervention. It covers six municipal sectors: passenger transport, municipal buildings, water and waste water, public lighting, solid waste, and power and heat. More information at: https://esmap.org/TRACE This dataset includes survey data from 30 cities across the world.
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TwitterDataset with Geo Locations of Cities throughout the World.
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TwitterThe data file is from https://simplemaps.com/data/world-cities.
| fieldname | description |
|---|---|
| city | The name of the city/town as a Unicode string |
| city_ascii | city as an ASCII string (e.g. Goiania). Left blank if ASCII representation is not possible. |
| lat | The latitude of the city/town. |
| lon | The longitude of the city/town. |
| country | The name of the city/town's country. |
| iso2 | The alpha-2 iso code of the country. |
| iso3 | The alpha-3 iso code of the country. |
| admin_name | The name of the highest level administration region of the city town (e.g. a US state or Canadian province). Possibly blank. |
| capital | Blank string if not a capital, otherwise: primary - country's capital (e.g. Washington D.C.) admin - first-level admin capital (e.g. Little Rock, AR) minor - lower-level admin capital (e.g. Fayetteville, AR) |
| population | An estimate of the city's urban population. Only available for some (prominent) cities. If the urban population is not available, the municipal population is used. |
| id | A 10-digit unique id generated by SimpleMaps. We make every effort to keep it consistent across releases and databases (e.g. U.S Cities Database). |