Utility Data The data is extracted from [geonames][1], a very exhaustive list of worldwide toponyms. **It can be joined with datasets containing geographic fields to facilitate geospatial analysis including mapping.** This [datapackage][2] only lists 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 (e.g., in United Kingdom or the United States of America) or the major administrative section (e.g., ''region'' in France''). See `admin1` field on [geonames website][3] for further info about subcountry. Notice that: * Some cities like Vatican City or Singapore are a whole state so they don't belong to any subcountry. Therefore subcountry is `N/A`. * There is no guaranty that a city has a unique name in a country and subcountry (At the time of writing, there are about 60 ambiguities). But for each city, the source data primary key `geonameid` is provided. Preparation You can run the script yourself to update the data and publish them to GitHub/Kaggle: see [scripts README][4] Acknowledgments and License All data is licensed under the Creative Common Attribution License as is the original data from [geonames][5]. This means you have to credit [geonames][6] when using the data. And while no credit is formally required a link back or credit to [Lexman][7] and the [Open Knowledge Foundation][8] is much appreciated. *This dataset description is reproduced here from [its original source][9] with slight modifications.* [1]: http://www.geonames.org/ [2]: http://dataprotocols.org/data-packages/ [3]: http://www.geonames.org/ [4]: http://data.okfn.org/data/core/scripts/README.md [5]: http://www.geonames.org/ [6]: http://www.geonames.org/ [7]: http://github.com/lexman [8]: http://okfn.org/ [9]: http://data.okfn.org/data/core/world-cities