I'm new to working with census data and am wondering about best practices for calculating labor force participation and unemployment at the block group level. I've been using the ACS R package to gather table data from these tables here.
My current thinking says for unemployment:
- Add all estimates for civilian labor force for Ages 16 and older (not including Armed Services) to get total civilian labor force (TCLF)
- Divide the sum of all unemployed by TCLF to get proportion unemployed
My current thinking says for labor force participation:
- Add all estimates for those Ages 16 and older (including Armed Services) to in labor force to get total labor force (TLF)
- Add all estimates for those Ages 16 and older not in labor force to get total out of labor force (TOLF)
- Divide the TLF by total population of block group to get proportion in labor force
- Divide the TOLF by total population of block group to get proportion out of labor force
Is this the best way to go about this? Like I said, I'm new to working with census data so any thoughts would be much appreciated. We are mostly interested in looking at associations between block group characteristics (employment, poverty, walkability) and health behaviors.