Hacker Newsnew | past | comments | ask | show | jobs | submitlogin
See the Neighborhoods Internet Providers Excluded from Fast Internet (themarkup.org)
4 points by burkaman on May 11, 2023 | hide | past | favorite | 2 comments


I checked the area I used where I lived when I lived in Seattle, which was in the University District next to the University of Washington. Specifically the area bounded on the west, north, east, and south by 11th Ave NE, NE 42nd St, University Way NE, and NE 41st St.

That area was pretty much all apartments, except for along University Way, and according to Google Maps still is. When I lived there those apartments were largely occupied by students. The block north of that was and still is largely apartments, as is the block north of that.

They were all about the same quality and desirability, and my recollection is that accordingly they all had about the same demographics.

But now according to their map the area I was in is only 16.3% White. Go north a block and it is 46.7%, as is a block north of that.

Is the map correct? If so what caused such a big difference between south of NE 42nd St and north of NE 42nd St in terms of racial demographics? I would have expected all those places to have about the same demographics as the University.


Seems correct for my zip code on the other side of the country.

Learn how The Markup collected, categorized, and analyzed the data https://themarkup.org/show-your-work/2022/10/19/how-we-uncov...

"Within each city we categorized addresses by race and ethnicity using quartiles (”least White,” “less White,” “more White,” “most White”) based on the percentage of residents identifying as non-Hispanic White in the address’s block group. As with income, we got this data from the 2019 five-year American Community Survey. The quartile labeled “least White” represents the greatest concentration of people of color in a city, whereas the quartile labeled “most White” represents the greatest concentration of White people in the city. (See Limitations: Different Categorization Systems for other categorization systems we considered for income and race and ethnicity.)"




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: