I have 200000 rows of twitter data having the location attribute. I want to map the city names to their respective countries for producing demographic result based on countries. How can I do that using some formula in excel or in other efficient way. For example: new delhi mapped to India

Data Sample: location attribute

  • 1
    If accuracy is important to you, it will be impossible if you only have the city name. For example consider Paris, France vs. Paris, Texas. If you just have "Paris" as a location information, it will be impossible to say with certainty if the user is located in France or in the US. There are many cities sharing the same name.
    – J-J-J
    Mar 30, 2023 at 20:06
  • Smriti, could you please post 10 sample rows?
    – Nicolas Raoul
    Mar 31, 2023 at 8:33
  • @Nicolas Raoul, Following is the sample of data: Tampa, Florida St George, UT Utah Springfield OR Hamilton, New Zealand West Michigan Haidian,Beijing,China India
    – Smriti
    Mar 31, 2023 at 9:40
  • Thanks for the sample data, it is very valuable to know that the input data is not uniform and even contains some invalid entries.
    – Nicolas Raoul
    Apr 3, 2023 at 2:28

1 Answer 1


You will probably have to first geocode into latitude/longitude, then reverse geocode to get the country.

Step 1: geocode

This step is the hardest as human-entered data can take many shapes. I would suggest this API:


Be aware that it costs money.

Example when searching for Springfield OR:

enter image description here

A few alternative options are listed at https://wiki.openstreetmap.org/wiki/Geocoding

Step 2: reverse geocode into a country

Good news, this one does not cost money and it is super-fast using this Java library coordinates2country:


Disclaimer: I made it, because I needed such a feature in one of my apps.

It includes a run.sh script runnable from Linux or Mac terminal. Example:

Enter ./run.sh 44.046236 -123.022029 on the terminal, press enter, this result gets displayed: United States of America

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