This page is a factual reference for the U.S. footprint of Ross Stores (ROST) as the Narrative Geo platform measures it: how many stores exist, how much of the country they reach on real road networks, and who lives inside that reach. The remaining 97.3M Americans live outside every 30-minute Ross Stores trade area.
Footprint facts
Each row below is a single value returned by the platform's
/api/trade-area endpoint for chain=ROSS_STORES
at drive_min=30. Nothing here is estimated or
interpolated by hand.
| States with locations | 45Largest: CA (350), TX (230), FL (206), IL (89), AZ (71) |
|---|---|
| Median household income in trade area | $95,485ACS 2023 5-year, population-weighted across reached cells |
| Daytime population reached | 243MWorkers at place-of-work plus resident non-workers (LEHD) |
| Retail jobs inside the trade area | 10.9MOf 104M total jobs |
| Bachelor's degree or higher | 36.8%22.4% bachelor's, 14.4% master's or above |
| CBSA metro areas touched | 195Largest by store presence: Los Angeles-Long Beach-Anaheim, CA |
| Retail asking rent, weighted by store footprint | $26.01 psf4.4% vacancy · 2026Q1 |
| Median home value in trade area | $421,693Median gross rent $1,607/mo |
| Mean annual average daily traffic at store cells | 37,627 vehicles/dayHPMS 2022 · 10.7% of store cells matched |
71.0% coverage means that share of the U.S. population lives in a cell from which at least one Ross Stores location is reachable within 30 minutes of driving. It is a reach measure, not a market-share measure: a household inside the footprint may also sit inside a dozen competing chains' trade areas. Coverage rising toward the high 90s is the signal that unit growth has to convert into intensification — more revenue per existing store — because there is no un-reached population left to open into.
Methodology
Drive-time matrix. Every number on this page derives from a routed origin-destination matrix: each H3 resolution-8 cell containing a store is routed against every reachable destination cell at the 5/10/15/30/60-minute tiers, using an OSRM contraction-hierarchy graph built on the OpenStreetMap U.S. extract. No radius buffers, no straight-line approximations.
Demographics. U.S. Census ACS 2023 5-year estimates at block-group level, apportioned onto 12.86M H3 res-8 cells by overlap-weighted area. Jobs and daytime population come from LEHD workplace-area characteristics.
Coverage. Population reached is the sum of population in every cell reachable from at least one store within the stated drive time; national share is that sum divided by the same cell universe's U.S. total. Cells are counted once, so overlapping store trade areas are never double-counted.
Store locations. Refreshed from corporate store locators on a weekly cycle. Counts reflect U.S. locations present in the platform at the fetch timestamp below, which can differ from a company's reported unit count (franchise/licensed formats, non-U.S. units, and in-line concessions are treated according to what the locator publishes).
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