Whole Foods Store Footprint & Assortment Analysis Across the US 2026

For brands chasing premium-grocery distribution, Whole Foods is a bellwether - where it locates, what it stocks, and how much shelf its own private label takes all signal where the premium-natural market is heading.

This report maps Whole Foods' US store footprint by region and analyses assortment breadth and private-label share, from publicly available store-location and product data. It is written for brands, real-estate teams and analysts tracking premium grocery.

Key findings at a glance

Three patterns stand out across the footprint and assortment data. (Figures below are illustrative previews - the full report breaks them down by region and category.)

Key finding 1: footprint clusters on the coasts

Whole Foods concentration is highest in the West and Northeast and thinner across the Midwest - a footprint that follows dense, higher-income, urban markets.

For a brand planning distribution, this means coastal metros offer the most doors, while inland regions represent comparative white space - context that a national store count alone would hide.

Key finding 2: assortment breadth and private-label share

Assortment varies by store format and region, and the chain's own private label takes a substantial, growing share of shelf. The sample shows assortment mix by category (illustrative).

Private label is heaviest in pantry and prepared categories - the areas where a national brand faces the toughest competition for shelf.

Key finding 3: assortment signals positioning

Beyond counts, the mix tells the strategy: a heavy private-label, premium-natural, prepared-food lean. For brands, the assortment shows exactly which categories Whole Foods curates tightly versus opens to outside brands - the difference between an easy listing and a hard one. Reading footprint and assortment together is how a brand decides where and how to pitch.

What the underlying data looks like

The report is built from store and product records like the one below - the structure buyers receive in a sample.

{
  "retailer": "Whole Foods Market",
  "store_id": "WFM-0481",
  "city": "Austin", "state": "TX",
  "lat": 30.2711, "lng": -97.7437,
  "format": "flagship",
  "sku_count_est": 31000,
  "private_label_share_est": 0.31,
  "captured_at": "2026-06-29T09:40:00Z"
}

  

Aggregated to a store-and-region view, the same data rolls up into a flat file analysts can model on:

store_id,state,region,format,sku_count_est,pl_share
WFM-0481,TX,South,flagship,31000,0.31
WFM-1190,NY,Northeast,urban,22000,0.34
WFM-2204,CA,West,flagship,33000,0.29
WFM-3391,IL,Midwest,standard,26000,0.30

  

Who this report is for

This report is built for the teams that plan distribution, real-estate or competitive strategy around premium grocery.

Methodology & data

The findings are based on publicly available store-location and product/assortment data collected for Whole Foods in 2026, aggregated by region, format and category. Assortment and private-label figures are estimated from public product listings. No personal data is involved. The full report details the regions, categories and how each metric is calculated.

Frequently asked questions