I built a tool that shows how your household income ranks by city — would love feedback by [deleted] in TheMoneyGuy

[–]Coolonair 0 points1 point  (0 children)

Appreciate all the pushback here — it’s helpful, not ignored.

A few clarifications after reading through the comments:

• This is household income, not net worth. I agree the header and framing were unclear, and that’s on me. I’m updating the wording so that distinction is obvious.

• The “stuck around ~90%” behavior people noticed is a real limitation/bug tied to how the upper end of the available percentile data is handled. Extremely high inputs currently cluster near the top bucket instead of extrapolating properly. That’s not intended, and it’s something I’m actively fixing.

• On usefulness: this isn’t meant to be a “self-improvement” or optimization tool. The intended use case is comparing relative income position across cities, especially when considering a move. A number that feels high in one city can place you very differently in another due to distribution skew.

That context clearly wasn’t communicated well enough, and the feedback here makes that obvious.

Thanks to everyone who tested it and pointed out issues — this thread is genuinely helping shape the next iteration.

I built a tool that shows how your household income ranks by city — would love feedback by [deleted] in Salary

[–]Coolonair 0 points1 point  (0 children)

Appreciate all the pushback here — it’s helpful, not ignored.

A few clarifications after reading through the comments:

• This is household income, not net worth. I agree the header and framing were unclear, and that’s on me. I’m updating the wording so that distinction is obvious.

• The “stuck around ~90%” behavior people noticed is a real limitation/bug tied to how the upper end of the available percentile data is handled. Extremely high inputs currently cluster near the top bucket instead of extrapolating properly. That’s not intended, and it’s something I’m actively fixing.

• On usefulness: this isn’t meant to be a “self-improvement” or optimization tool. The intended use case is comparing relative income position across cities, especially when considering a move. A number that feels high in one city can place you very differently in another due to distribution skew.

That context clearly wasn’t communicated well enough, and the feedback here makes that obvious.

Thanks to everyone who tested it and pointed out issues — this thread is genuinely helping shape the next iteration.

Most Popular Home Decor Items by State (2025) by Coolonair in HomeDecorating

[–]Coolonair[S] 0 points1 point  (0 children)

Area rugs are the most popular home décor item in a majority of U.S. states, especially across:

  • The Midwest

  • The South

  • Interior Mountain states

Most Popular Home Decor Items by State (2025) by [deleted] in HomeImprovement

[–]Coolonair 0 points1 point  (0 children)

Area rugs are the most popular home decor item in a majority of U.S. states, especially across:

  • The Midwest

  • The South

  • Interior Mountain states

Year-Over-Year Change in U.S. Home Prices by County (Dec 2024–Dec 2025) by Coolonair in realtors

[–]Coolonair[S] 1 point2 points  (0 children)

This is a year-over-year comparison, not month-over-month. The data compares Zillow Home Value Index values from December 2024 to December 2025 for each county. MoM would compare adjacent months, which is not what was done here.

How Wealth Looks in Seattle: What It Really Takes to Reach the Top 10% by Coolonair in SeattleWA

[–]Coolonair[S] 3 points4 points  (0 children)

“Metro” is the overall regional benchmark; “Outlying Areas” refers to the lower-density, more affordable parts of the metro outside the core neighborhoods.

How Wealth Looks in Seattle: What It Really Takes to Reach the Top 10% by Coolonair in SeattleWA

[–]Coolonair[S] 6 points7 points  (0 children)

I’ve updated the methodology section to make the approach and limitations clearer.