Sad to hear that. It looks like OpenStreetMap is out of date in this regard, I'll make a note to update it (if no one beats me to it). https://www.openstreetmap.org/#map=18/37.47499/-75.86362

One of the disadvantages of crowdsourced data is that it's not always up to date. But the advantage is that it's quite easy to fix! Thanks for pointing this out!

Edit: I fixed this in OSM

Yeah, the legend doesn't quite match due to the boundaries being layered on top of each other. Since the yellow is the smallest, it's being mixed with all the other colors that are stacked behind it semi-transparently.

Funny, I live in a relatively small town. I actually wish I could live in a smaller town. But for some reasons (maybe because I’m getting old and have a history of heart disease in my family), I find it a huge comfort to know I’m close to two hospitals.

Can you overlay it with a map of major roads and population heat map?

I suspect that over 95% of the population can be served in less than 20 minutes.

Unfortunately, the hospital outside of Exmore,VA closed. That lower green on the Eastern Shore of VA shouldn’t be there at all. I lived there while it closed, now it’s an old folks home and specialist center. Hope this helps your data.

Am I missing something, or do the colours not match the legend? It may be my eyes but it looks like the darker purple colour is used for < 40 minutes, but the lighter purple is between the darker purple and the white on the map. The < 10 also looks like yellow in the legend, but there seem to be two greens on the map. Apologies if it is just my eyes.

Excellent map, and painful to see how uncovered parts of the state are (my hometown incl)

A possible small issue I see with the dataset, is the inclusion of in-patient psychiatric facilities that are labeled as hospitals. (Western State, Cumberland, Central State, Eastern State). Definitely a difficult choice to include or exclude these but I think excluding them might be better if this map is trying to show how much access localities have to healthcare. These facilities mostly do 'long term care' for the statewide patients.

The yellow looks green also on the map?

The differences are stark in these two maps, since you used the same color scale.

BTW you can see some of the cross-border anomalies here, where locations in VA have a shorter time indicated on the MD map than the VA one.

Very, very cool. Interesting to see this type of visualization, particularly as I work in EMS in this general region. I am guessing some of the data from your source may be a bit outdated. In the eastern shore of VA, the hospital that was in the Exmore area moved to Onancock a few years ago. The map currently seems to show there are two hospitals in the eastern shore, and there is only one in the VA portion of the peninsula.

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this should be the standard for this sub. well done!

The source data is OpenStreetMap! It's crowd-sourced mapping data for the whole earth, including roads and hospitals, which are the critical pieces for this graphic.

Also see my comment here for more info: https://www.reddit.com/r/dataisbeautiful/comments/121w4f8/comment/jdnngzy/

Glad you liked it! Made this for Maryland! https://i.imgur.com/8kYzyzU.png

Some caveats here are that my approach only references distances to hospital within the state, so it won't count hospitals that may be near the border but in another state. I hope to expand this to a country-wide analysis once I can optimize it a bit more.

That’s really cool! Thanks for sharing it :)

To visualize, I would maybe make a GIF which slides between the current graphic and a population density map?

This is super cool! Whats the source data for this? Or how to you make the source data for a state?

There are definite benefits to living somewhere that’s not the middle of nowhere, that’s for damn sure.

I live close to several hospitals now because I left NY and went to grad school for biomedical engineering, and that’s where this sort of thing gets done.

It’s pretty comforting to know that I am within mere minutes of world-class hospitals and a Level 1 Trauma center, but it’s not at the front of my mind very often.

Thank you!

I actually calculated this, but haven't had a chance to add it to the visualization yet.

Here are the numbers:

10 mins: 5,596,838 (65.3%)
20 mins: 7,635,539 (88.7%)
30 mins: 8,296,515 (96.1%)
40 mins: 8,552,706 (99.0%)
This was estimated using the EU's Global Population Density Estimate dataset GHS POP .

Not quite sure the best way to visualize this data. Add it to the legend?

Perhaps not surprisingly, the hospitals are centered around dense urban areas, and so even though the 10 minute boundary doesn't cover most of the state's area, it does cover most of the population.

Bar graph would be just fine.

Or change the independent axis to show continuous data.

https://whatagraph.com/blog/articles/discrete-vs-continuous-data/#toc_3

What would you suggest?

I would love to see another version of this that also factors in population density. How much of the population is within 10/20/30/40min? Etc

This is super cool. Great work. :)

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It's simple but I like it, customizable too.

I love these sorts of visualisations. Well done, OP!

I don't know the app but after reading the comments I have the feeling I miss something that I even don't know :D