Hi Joost,
There is no black and white, simple answer here.
Almost all of these data elements in the archetype are focused on personal identification with a group - this is all about social context and a feeling of belonging, possibly entered into a PHR. It is so important in the EHR context re mental health and wellness, allowing people to properly see the patient in their social context. Also some of these things might be used to trigger clinical decision support.
There is an enormous overlap between these data elements and a formal demographic server. What is kept on a server can vary considerably, and whether it actually belongs more appropriately in one place or the other is a discussion above my paygrade and expertise.
My modelling philosophy in this situation tries to keep it simple - if it is relevant in the clinical context we should model it. Then we can let the end users/implementers negotiate/decide what is kept where or a hybrid solution based on clinical requirements, cultural context etc. We can only provide good quality options and can’t control how it is rolled out.
I’ve struggled with how to capture these nuances for a couple of years now - especially in recording social determinants of health. After many times of trial and error I think it is ready for public scrutiny and discussion (like now 
)
If anyone can tease it out further or better… please be my guest 
H