Data source and snapshot
BuyableHomes analyzed a snapshot of 24,392 active U.S. for sale listings collected September 11 and 12, 2026 through the RentCast property listings API. The file contained 3,256 listings classified as condos. Of those, 2,729 had a positive published monthly HOA fee. RentCast defines the HOA field as the monthly HOA fee or assessment amount supplied with a listing.
Main analysis sample
The primary price tier analysis covers 2,493 active condo listings priced from $50,000 to $1 million with a positive published HOA fee. The $50,000 to $150,000 headline tier contains 269 condos across 27 states and 68 cities. Listings below $50,000 were not used for the headline finding because only 23 met the HOA criteria and the group was heavily concentrated geographically.
The calculation
For each condo, we calculated annual HOA dues as a percentage of that property's asking price, then reported the median of those listing level percentages. This is different from dividing the median HOA fee by the median asking price, so readers attempting to reproduce the analysis should calculate the ratio on each listing first.
annual HOA burden = (monthly HOA × 12) ÷ asking price
Missing HOA values
Listings without a published HOA amount were excluded from HOA calculations. They were not treated as zero. This matches the general approach used in major listing based HOA research, where nonzero published dues are analyzed rather than assuming a missing field means no fee.
Sampling limitation and same state check
This dataset is a cross sectional listing snapshot, not a weighted census of every active U.S. condo. Several state queries reached retrieval limits, so state counts should not be interpreted as national market shares. The same state test does not rely on those market share weights. It compares price tiers only within states that had at least five qualifying listings on both sides of a given comparison, asking whether the direction of the gap persists inside the same state rather than whether that state is proportionally represented nationwide.
Robustness tests
We recalculated price tier medians after excluding Myrtle Beach, all of South Carolina, and then South Carolina, Minnesota and Maryland together. We also ran the same state comparisons described above. These checks address geographic concentration in different ways, and the direction of the main finding remained intact in each test. They do not turn the snapshot into a nationally weighted sample or establish causation.