Notably the highest ratio in the dataset is the Bronx, New York, in 2014 and 2015, which tie at 34.4%
The lowest is [Mckinley County, New Mexico](https://maps.app.goo.gl/oNWop4hT6PuMyasU9), where the ratio in 2007 was a humble 7.2% – Median income was $42k, median rent was a whopping $257/month
Cool data, but why these five? Why not NYC or LA or SF or Chicago?
There’s 5 lines and you choose to make 2 blue?
Why zoom in on the vertical axis? It exaggerates the real impact.
I wonder if there’s a way to factor in lower-income workers who travel x distance to work in given city.
Seattle is expensive but at least the wages are there to compensate!
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The next in my series of graphs that are likely interesting only to me
Created in excel and powerpoint, because I’m still a basic ass bitch
data source is posted [here](https://github.com/arilamstein/censusdis-streamlit/blob/main/county_data.csv)
inspired by suggestions made by you fine folks
The data behind the graph above is [here](https://imgur.com/GtaqdzH) in a handy color coded chart
Notably the highest ratio in the dataset is the Bronx, New York, in 2014 and 2015, which tie at 34.4%
The lowest is [Mckinley County, New Mexico](https://maps.app.goo.gl/oNWop4hT6PuMyasU9), where the ratio in 2007 was a humble 7.2% – Median income was $42k, median rent was a whopping $257/month
Cool data, but why these five? Why not NYC or LA or SF or Chicago?
There’s 5 lines and you choose to make 2 blue?
Why zoom in on the vertical axis? It exaggerates the real impact.
I wonder if there’s a way to factor in lower-income workers who travel x distance to work in given city.
Seattle is expensive but at least the wages are there to compensate!