I am using Unweighted Samples to see average income from wages, occupation, and other characteristics of different race/ethnic populations.
I am looking at Hawai’i, and some of the sample sizes are very small when I look at specific characteristics (i.e. Chinese people with a bacehlors degree in 1930). If the sample is Unweighted, can I still use the small sample size (less than 20) to infer that Chinese people with a bachelors degree made X amount of earnings?
If, in my Unweighted sample, each record is meant to represent 100 people, does that mean that even if I find 3 Chinese people who have very specific characteristics (i.e. work in Sales, have a Bachelors degree, own a home), does that really represent 300 Chinese people during that time?
Does the PERWT (person’s weight) variable only represent how that person’s racial background is weighted in the population, or does it represent all of the characteristics associated with that specific record (their job, their wage, etc.)