Roughly a third of U.S. counties don't fit cleanly into any single market profile. Two situations land a county here: (1) its housing trajectory, labor patterns, and demographic signals pull in different directions across resampling tests, or (2) its descriptive character matches a profile but its BoomTown Score diverges sharply from peers in that profile — meaning the forecasting model sees something the character clustering doesn't. Either way, the county gets a custom data-driven narrative instead of a profile label.
Bootstrap stability below 50% on the descriptive features, OR BoomTown Score deviates more than 30 points from the assigned profile's mean.
Sorted by BoomTown Index score. Click any county for its full profile.
Market profiles describe each county's housing-market character, derived empirically from 24 housing, labor, and demographic features across 987 U.S. counties using hierarchical clustering. Counties whose BoomTown Score diverges sharply from a profile's typical range are moved to Idiosyncratic Markets and get a custom narrative instead. Read the methodology →