Thanks to Ruta Ubareviciene, Tiit Tammaru, Maarten van Ham and all others for putting all this together. And also thanks @sociologicky.bsky.social at @akademievedcr.bsky.social for funding support.

I like this picture! Some cities follow fairly similar trajectories, but others differ in multiple ways (Prague). There is a lot of "local context" that is as important as segregation measurement itself. #context #methods

Indices of dissimilarity are still rather low for Prague metro region in European perspective. Why? Metropolitan growth is filling poorer areas with richer classes. Like in early gentrification phase. #trend + #structure + #legacy = #segregation #pattern

Income inequality in countries of case study city-regions provides some insights into broader context. However, income is not the same as wealth. Better data are needed. #data #limits

Higher occupational classes are increasing in Prague metro region at the expense of middle occupational classes. This is a broad trend across metro regions in Europe. #class #professionalization

The links between key drivers of segregation and actual segregation outcomes are a bit complicated. You always have to look how it got that way! #segregation #trajectories

To jsem jen pro Prahu a další staturární města nepřipojil data. Plus vojenské újezdy.