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3

I agree it will be hard to find one dataset for all countries. You will have to look for each country individually. For the Dutch people, here is a CBS report from 2015: cbs report NL


3

I don't know of a global database but Eurostat does provide some insights into European countries if that is of interest. You can find their tourism database here. If you navigate through tour_dem > tour_dem_tt > tour_dem_ttsd > tour_dem_ttsex you will find what you are looking for. The data is available for viewing in Eurostats interface or as a ...


2

I always bring a GPS and two paper maps: one in my mapcase around my neck, and a backup map in my rucksack, in case I lose my mapcase including map. The screen on a GPS receiver is far too small for wilderness navigation, it relies on batteries and on coverage (can be problematic in narrow canyons). If I had to choose one I would certainly take only the ...


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I really don't know if there's a way to find this data worldwide, because most countries only track incoming tourists, not where their own people visit (i.e. they track inflow, not outflow). But if journalist David Yanofksy wins his current FOIA lawsuit, you will be able to get this data for the subset of tourists who arrive in the US, broken down by their ...


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For a start try the OpenFlights Airports Database. It gives you a list of all airports in English. I don't know if you have any programming skills but from there you could try to use the translate module in python. Create a file with only the names Use the module for looping through the file and trough your desiered languages Write the results in a list/...


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Outbound tourism is discussed on page 12 and 13 of the UNWTO Tourism Highlights, 2016 Edition. It is by region instead of country. On their website, they sell individual country level data, but this is not free unless you are a university academic or conducting bona fide academic research.


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US Census has Commuting (Journey to Work) Main datasets, though they aren't specifically related to health. Census has other commuting datasets as well, but if I recall correctly, they are in the same vein as not being specifically health related.


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This is a bit of a stretch, but consider using the Twitter public feed for travel itineraries that are posted automatically. I noticed on Steve Woz's feed, that he uses Swarm App which posts his travel plans automatically (direct link) The raw JSON data for this tweet looks like this: { "created_at":"Tue Dec 05 11:52:49 +0000 2017", "id":...


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