Every year, I spend months tracking every insurance carrier rate filing for the following year to determine just how much average insurance policy premiums on the individual market are projected to increase or decrease.
Carriers tendency to jump in and out of the market, repeatedly revise their requests, and the confusing blizzard of actual filing forms sometimes make it next to impossible to find the specific data I need. The actual data I need to compile my estimates are actually fairly simple, however. I really only need three pieces of information for each carrier:
How many effectuated enrollees they have enrolled in ACA-compliant individual market policies;
What their average projected premium rate change is for those enrollees (assuming 100% of them renew their existing policies, of course); and
Ideally, a breakout of the reasons behind those rate changes, since there's usually more than one.
Usually I begin this process in late April or early May, but this year I've been swamped with other spring/summer projects: My state-by-state Medicaid Enrollment project and my state/county-level COVID-19 vaccination rate project.