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This is a great point, and something we plan to address. We currently use Nielsen's DMA (Designated Market Area) mappings within the US to separate out regional areas which was used for TV / media market surveys. We happen to use DMA categories for our regional pages on Levels.fyi which is why it was easiest to start with since we already had this data captured. The features can sometimes be a bit off and seem like they're grouped very far and wide (you'll notice there's a bit of Denver within Nevada and its just a vestige of how it used to be categorized), but it still provides a bit of a broader level grouping than something like zip code. We've also been considering using Combined Statistical Areas using population instead, but the benefit with DMAs is that it offers full coverage of the entire US whereas some major tech hubs are still missing from CSAs if relying solely on population.

We're planning to create some of our own regional definitions and borders using our own submissions and that should offer some more tighter bounds. This was just a v1, and I think its already resonating with folks.

GeoJSON data for the map borders: https://github.com/PublicaMundi/MappingAPI/blob/master/data/...

Nielsen DMA regions: https://blocks.roadtolarissa.com/simzou/6459889



> We've also been considering using Combined Statistical Areas using population instead, but the benefit with DMAs is that it offers full coverage of the entire US whereas some major tech hubs are still missing from CSAs if relying solely on population.

I think just using the 387 MSAs [1] instead of the 181 CSAs would get you far enough to cover all the major tech hubs.

[1] https://en.wikipedia.org/wiki/Metropolitan_statistical_area


Is this also using the levels.fyi salary data?

If that data is submitted by individuals to a particular company, is it possible to see a lot more detailed heatmap, perhaps down to each address of each company?




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