That's the funny part. Over half of the Government of Japan's debt is owned by the Bank of Japan. It's like being in debt to yourself.

They're ridiculously good at managing money. So good that in fact, if you investigate it closely it is the other countries that are in debt to them.

Also many countries in Europe, including almost every country in Southern Europe and Scandinavian countries like Finland have lower fertility rates than Japan

Why is political data so much more beautiful than any other data? I especially marvel at the beauty of a bar chart and literally anything political contained within said Excel bar chart . /s

Data point for DC likely has very high leverage. How would the linear parameters and R squared values look if you exclude DC? What would that imply?

So is indoctrination.

What an interesting looking graph. I have never seen anything like it. It does not appear to be highly intuitive. Certainly, creative though!

I thought it looked nice. What would you have preferred?

Does education or wealth have More impact I wonder?

well proximity to another border could be seen as a bad thing as it's easy for an invading army to just get to it

God (is not real) I love these posts, can't wait to read all the uneducated people talk about how education is for dumb people.

No, there are several coastal capital cities in Europe, which all have an amount higher than 0 km

I used kilometers

approximately the city center

Sources:

• https://worldpopulationreview.com/state-rankings/educational-attainment-by-state

• https://fivethirtyeight.com/features/how-red-or-blue-is-your-state-your-congressional-district/

Tool used: Microsoft Excel

Inspired by THIS post, but I think this is a much more useful visualization of the data.

Thanks for infor, never thought of that. Great graph for future planning.

Florida also has a lot of retirees. That means that their cash may be coming from investments rather than earnings. However, being of low income does not mean being poor by any means.

Some of it is, but it’s really a hodgepodge. I’m in marketing tech, there’s some insurance, some food, Groupon, Uptake, consultants, and Fortune 500 companies.

None of it is either bleeding edge or hypergrowth territory, which may or may not be what the new college grads are looking for.

The Metropolitan Statistical Areas listed on the chart are the ones I could match up Median Home Prices from the National Association of Realtors and Per Capita Income from the US Bureau of Economic Analysis to calculate a ratio from.

Thanks for this. Of course the worst is california and hawaii but interesting florida has areas that are good and bad depending on the city.

Take it up with the National Association of Realtors & US Bureau of Economic Analysis

Can you tell us a bit about this sample? How/ why were this areas chosen?

I’m calling b.s. on that Nashville score.

To everyone saying Seattle has a real estate bubble... Ahem.

People need to upvote the source to have it appear on top. Alternatively, I suppose you could sort the oldest ones to the top.

So red is the observed difference and blue the observed difference after it has been adjusted?

Is linear regression the right analysis?

How did you determine which adjustment factors to use and the weight to assign to them?

Where is this data from? Can we get it for 2020? 2015?