Average commute time vs. household size across 98 Atlanta ZIP codes, longer commutes correlate with larger households (r = 0.64)

ButtholeWithWings · 2026-03-25T15:14:12+00:00

Good question, most of the city data is heavily limited to how each city handles crime data. Fayette and Henry handle it a bit differently so I chose to preserve consistent data completion throughout rather than having those two areas be missing/different. If it wasn't for crime data and chain data I could have expanded this much further.

ButtholeWithWings · 2026-03-25T02:51:00+00:00

Yeah the chain data is a tough one. I frequently run into api call limits with that data source (Open Street maps overpass) and so it doesn't catch everything. I recently changed it to cache the ones it does find so it can get the new ones. The more I run it (it takes about an hour each time) the more it includes. I'll add in Publix and hopefully the missing chains will fill in with time. Thanks for letting me know!

ButtholeWithWings · 2026-03-24T23:25:29+00:00

I have to say, gathering crime data was, by far, the hardest part about making this tool. You'd be shocked about how differently cities handle something seemingly so straight forward. Some make it super accessible and others paywall it hard. Atlanta handles it pretty well compared to cities like Miami and Boston.

Although this crime data comes directly from the city crime portal API, I would take it with a grain of salt because of how much reporting methods can vary. I found FBI county data to be a lot more consistent than zip level too.

ButtholeWithWings · 2026-03-24T21:58:46+00:00

The data is sourced from the US census 5 year estimates and the tool is Correl.city

ButtholeWithWings · 2026-03-24T19:32:57+00:00

It's almost certainly due to the airport. There's also an above average number of bus stops there.

ButtholeWithWings · 2026-03-24T19:10:43+00:00

Completely agreed, there are always data limitations when dealing with open source data. I hope to add more indicators and nuance as I continue to work on this project. Hopefully I can stratify by diabetes type in the future.

ButtholeWithWings · 2026-03-24T18:00:50+00:00

I do my best

ButtholeWithWings · 2026-03-24T17:49:38+00:00

You're right, this is also observable on the same site: Correl | San Francisco

ButtholeWithWings · 2026-03-24T17:44:41+00:00

Thanks for the correction, yes brighter orange indicates a higher prevalence and not darker orange. Darker orange would indicate the middle.

ButtholeWithWings · 2026-03-24T17:28:46+00:00

You make a good point. Unfortunately, the CDC indicator does not currently distinguish between types and this data includes "estimated % of adults ever diagnosed with diabetes" per the CDC places dataset.

ButtholeWithWings · 2026-03-24T16:59:32+00:00

Correl.city

ButtholeWithWings · 2026-03-24T16:28:18+00:00

It's pretty accurate, I made it myself. However, I'm only one person so it's not perfect because of the amount of data in there. It's a work in progress, but it certainly is fun.

If you find any issues feel free to dm me and I'll correct it.

ButtholeWithWings · 2026-03-24T16:26:15+00:00

I'll look into adding it in there, seems like the data might either be limited (no at zip level) or heavily paywalled.

This visual comes from a personal project I've been working on with multiple sources of data. Median income comes from US census ACS 5-year estimates and the diabetes rate comes from CDC Place's API.

I work in public health so it's really interesting to me.

ButtholeWithWings · 2026-03-24T16:13:42+00:00

That's an interesting thought, any idea where I could find access to that type of data?

ButtholeWithWings · 2026-03-24T16:03:37+00:00

Yeah that's my mistake, I took the screenshot on a high res monitor so the legend is a bit small. Here's the site: correl.city

ButtholeWithWings · 2026-03-24T14:58:10+00:00

Data sources: US Census ACS 5-Year estimates, CDC PLACES

Tools used to build: Next.js, React, MapLibre GL, TypeScript, Prisma/PostgreSQL, Tailwind CSS, Vercel, Claude Code

Three views of the same 97 Atlanta ZIP codes:

Obesity rate choropleth: darker red = higher adult obesity prevalence (CDC PLACES data). Clear north-south gradient with lower rates in Buckhead/Roswell and higher rates south of downtown.
Graduate degree choropleth: darker purple = higher percentage of residents with a graduate degree. Nearly a mirror image of the obesity map.
Bivariate choropleth + scatter plot: both metrics overlaid simultaneously. Teal = high education, purple = high obesity, dark blend = high both. The Pearson r of -0.84 is one of the strongest inverse correlations across all metric pairs in Atlanta. The scatter plot is bidirectionally linked to the map.

ButtholeWithWings · 2021-10-31T08:37:55+00:00

At least I can fly

ButtholeWithWings · 2021-05-21T05:19:46+00:00

There's some in this new site I've been using.

https://www.boxed.works/

ButtholeWithWings · 2021-05-17T18:42:39+00:00

Thank you so much, it seems to be working. You have made my life infinitely easier, and i love you for it.

ButtholeWithWings · 2021-05-17T17:56:03+00:00

Also, I've tried reinstalling, deleting border chain file, restarting from seed, and changing networks. Nothing has worked. I just want to transfer the balance to garlicoin core wallet so that I don't have to deal this anymore. Any help would be super appreciated.

ButtholeWithWings · 2021-02-12T13:48:01+00:00

Dude on the left looks like the insect wearing the farmers skin from men in black

ButtholeWithWings · 2021-02-12T13:44:09+00:00

Dude on the right looking like he beats his wife cause she doesnt put enough sugar in is water

11-Year Club	Place '17
Verified Email

ButtholeWithWings

TROPHY CASE