https://www.washingtonpost.com/graphics/2018/national/segregation-us-cities/ has a feature where you look at a city and get an idea of how people of different race/ethnicity are distributed, and how segregated/integrated each neighborhood is.
Not surprisingly, Chicago is used as an example of a city that is still highly segregated.
@ucbalumnus I don’t know if you are familiar with the Shelling segregation model, but Google it and look at the simulations. If one race is perfectly happy with integration save that they want 30 percent of their neighbors to be of their race, then almost complete segregation always occurs. Raise that to 50 percent and you end up with the giant blog segregation pattern of Chicago and other cities.
Presumably you mean simulations like http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/ based on the paper at https://www.stat.berkeley.edu/users/aldous/157/Papers/Schelling_Seg_Models.pdf .
Of course, if you set the desired similarity to 0% or some low percentage (i.e. people do not really care whether their neighbors are the same as they are), it does not lead to segregation.
The simulations also are limited to two groups, and assume uniform similarity preferences among all members of both groups.
That map is totally inadequate for my zip code. No dots for my immediate neighborhood, which is diverse. Plus- data points based on a ten year census when people move more frequently…
Diversity also reflects which groups settled an area many decades/hundreds of years ago. Current immigrants often settle where they can find their ethnic groceries, religious places, affordability, available housing and other factors. Just like over a hundred years ago when someone from the same European town came to a place many others will follow.
The US needs to get over the melting pot of uniformity and accept a stew pot. Variety is better than uniformity. A critical mass is needed to have various cultural events.
Another factor with immigration- even within a country. Those who are perfectly satisfied with their situation will have no desire/need to move. Climate plays a role- one reason some areas attract so many tropical peoples while others have ancestors used to a northern climate.
So many variables.
That is a strange map. I think they randomly distributed the dots. Probably a third of the dots in my zip code are in open space areas with no homes.
It looks like dots representing population of a census tract are randomly dropped into the census tract, so you can see how (for example) segregated a city or a large part of a city like Chicago is, but not really say much about areas of the size of a census tract or smaller.
At least around my neighborhood, the dots are very accurate.
It looks pretty accurate for my area. I wish the yellow (Hispanic) dots and the green (Asian) dots were easier to distinguish.
The blue and yellow dots are not segregated in my area, there just aren’t many of them. It is a rural area and mostly white, the few minorities are mingled throughout the area.
Census tracts are small though, 1200-8000 people. In a city, that would be a few city blocks.
The dots in our neighborhood seem to fall on specific properties, and they are precise with respect to the race of my neighbors. Interesting data, but I find it a bit creepy to have census data displayed in a way that makes it easy for someone with racial animus to target particular homes. Perhaps it’s just coincidence and I’m being paranoid, but I would be more comfortable with less granular data.
That may be coincidence. I looked at a few neighborhoods that I am familiar with; the dots do not line up neatly with the houses, but look like they are just dropped randomly within the census tracts. For example, some of the dots are in schools or parks where no one lives (not even homeless people encampments). Where some of the dots are where there are houses that I know who lives in, they are not necessarily the race/ethnicity that matches the occupants. There are also fewer dots than there are people, so each dot represents N people, where N is significantly larger than 1.
They are exactly matched in my neighborhood, to each house.
There are tons of dots in an undeveloped wooded area by my home. It used to be a state institution 10 years ago, so maybe that’s what it’s reading? Some of the dots in my neighborhood seem to be accurate, though.
When I view on my iPad and zoom in the dots appear more random, with some scattered on schools and parks. LOL look at UCSB. Red dots in Isla Vista party houses and green dots in campus housing. This is a fun map to explore!
^^^ I can’t seem to get the map to work - maybe a Mac/Safari issue. However, UCSB has a very large portion of Hispanic students, where are the yellow dots?