List of major cities in the world ## Data The data is extracted from [geonames][geonames], a very exhaustive list of worldwide toponyms. This [datapackage][datapackage-spec] 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][geonames] 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. [geonames]: https://www.geonames.org/ [datapackage-spec]: https://specs.frictionlessdata.io/data-package/ ## Preparation [](https://www.python.org/downloads/release/python-360/)  This repository uses [dataflows](https://github.com/datahq/dataflows) to process and normalize the data. You first need to install the dependencies: ``` pip install -r scripts/requirements.txt ``` Then run the script ``` python scripts/process.py ``` ## License All data is licensed under the [Creative Commons Attribution 4.0 International License][CC-BY-4.0], consistent with the original data from [geonames][geonames]. You must credit [geonames][geonames] when using the data. A link back or credit to [Lexman][lexman] and the [Open Knowledge Foundation][okfn] is also appreciated. All source code is licensed under the [MIT licence][mit]. [CC-BY-4.0]: https://creativecommons.org/licenses/by/4.0/ [mit]: https://opensource.org/licenses/MIT [geonames]: https://www.geonames.org/ [lexman]: http://github.com/lexman [okfn]: http://okfn.org/