Sprouts Farmers Market operates 443 U.S. stores. At a 30-minute drive radius the network reaches 119M Americans — 35.4% of the U.S. population. Average household income of the reached population: $102,879. Median age: 37.6. Working-age population reached: 73.9M (62.2% of total reach).
Demographic mix of reached population
Age cohort breakdown of the 119M-person trade area at 30-min drive. Numbers are absolute population counts from /api/trade-area.
- 18-24: 10.8M (9.1% of reached pop)
- 25-34: 17.5M (14.7% of reached pop)
- 35-44: 16.4M (13.8% of reached pop)
- 45-54: 15.0M (12.6% of reached pop)
- 55-64: 14.3M (12.0% of reached pop)
- 65+: 18.1M (15.2% of reached pop)
Trade-area overlap with Trader Joe's
Sprouts Farmers Market: 443 U.S. stores reaching 119M Americans. Trader Joe's: 643 U.S. stores reaching 194M. Pairwise overlap computed at 30-min drive isochrone, H3 resolution 7.
Union of reachable population: 207M (61.9% of U.S.).
Both-chains reach: 105M — 50.6% of union.
Sprouts Farmers Market-only reach: 13.9M — population within 30 min of Sprouts Farmers Market but NOT Trader Joe's.
Trader Joe's-only reach: 88.7M — population within 30 min of Trader Joe's but NOT Sprouts Farmers Market.
Higher overlap percentage = the two networks compete more directly for the same trade-area population. 50.6% overlap means roughly 50.6% of the jointly-reachable U.S. population can shop either chain within 30 min, which sets the upper bound on customer-share competition between the two.
Methodology
Drive-time matrix. 1.083B routed pairs (origin H3 cell × destination H3 cell × 5/10/15/30/60-min drive). Built on OpenStreetMap U.S. extract via OSRM contraction-hierarchy.
Demographics. U.S. Census ACS 2023 5-year, block-group level, projected onto 12.86M H3 res-8 cells via overlap-weighted area apportionment.
Overlap. overlap_pct = both_pop / union_pop. Computed cell-by-cell with set operations; no smoothing.
What this post does NOT include. Named-MSA whitespace candidates (the platform's whitespace endpoint returns H3 cells with lat/lng, not MSA names). Store-to-store cannibalization inside a single chain (the platform only computes overlap between two distinct chains, not between sibling stores of one brand). Forward-looking unit-growth projections (these come from management guidance, not the platform).