The Surprise Is in North Carolina

When we finished scraping both chains' store locators and put every US location on a map, the first thing that jumped out wasn't the national totals. It was North Carolina, where Lowe's outnumbers Home Depot roughly three to one. Then California, where the ratio flips to two to one the other way. For two retailers that sell essentially the same lumber, paint, and power tools out of essentially the same 100,000-square-foot boxes, those are enormous regional swings, and they turned out to be the thread that unravels the whole "they're interchangeable" assumption.

The dataset behind this: a scraped snapshot of both companies' public store locators, roughly 2,300 Home Depot locations and 1,750 Lowe's locations across the US. A caveat before anything else, because it applies to every number below. Locator data is what the chains publish, not an audited store count; soon-to-open stores sometimes appear early, closed ones sometimes linger, and counts drift monthly. We cross-check against reported totals and the figures line up within a few percent, but treat everything here as directional. If you read our Starbucks vs Dunkin location analysis, this is the same methodology pointed at big-box retail, where each dot represents a $20M+ real estate commitment instead of a coffee kiosk.

Scale: Closer Than You'd Think

Home Depot's national lead is about 30%: roughly 2,300 stores to 1,750. Both chains build big, which means site selection is constrained to 10+ acre parcels with highway access and heavy parking. Neither can do small-format urban infill the way a Starbucks or a dollar store can, so every location is a deliberate, expensive bet on a trade area.

That constraint is what makes the map divergence interesting. When two chains need the same kind of site and sell the same categories, differences in where they end up are strategy, not accident.

Two more facts frame everything below. Home Depot generates meaningfully more revenue per store, commonly reported around $60M annually versus roughly $50M for Lowe's. And Home Depot's mix skews toward professional contractors, who are widely reported to account for around half its sales versus a quarter to a third at Lowe's. Keep the Pro customer in mind. The location data keeps pointing back to them.

State by State

Here's how the scraped counts break down across a representative set of states, with approximate stores per million residents:

State	Home Depot	Lowe's	HD per 1M people	Lowe's per 1M people
California	~230	~110	~5.9	~2.8
Texas	~180	~145	~5.9	~4.7
Florida	~155	~130	~6.8	~5.7
New York	~100	~70	~5.1	~3.6
North Carolina	~40	~115	~3.7	~10.6
Georgia	~90	~65	~8.2	~5.9
Ohio	~70	~85	~6.0	~7.2
Pennsylvania	~70	~85	~5.4	~6.5
Illinois	~75	~40	~6.0	~3.2
Washington	~45	~40	~5.7	~5.1

California is Home Depot country, and by the largest absolute gap in the dataset. Home Depot was founded in Atlanta but expanded west early and aggressively, locking up prime large-format sites decades ago in a state where entitlement and land constraints make catching up close to impossible. Lowe's underweight position in the country's largest home improvement market is a structural problem it can't buy its way out of.

The Carolinas are the mirror image. Lowe's was founded in North Wilkesboro, North Carolina, and its per-capita density there (~10.6 per million) is the highest of any large state for either chain, with South Carolina, Virginia, West Virginia, and Tennessee showing the same home-region tilt. We saw exactly this with Dunkin in New England. Chains never fully escape their founding geography, even after half a century.

And then there's the odd middle: Ohio and Pennsylvania lean Lowe's while Illinois flips hard to Home Depot. That looked like noise until we cross-referenced urbanization, at which point it stopped being noise at all.

The Cleanest Finding: Metro vs Everywhere Else

Cross-referencing store coordinates against Census urbanization classifications produced the single cleanest split in the analysis: Home Depot skews metro, Lowe's skews suburban-fringe and rural.

Home Depot concentrates in and around major metros: dense first-ring suburbs, urban-adjacent industrial corridors, and genuinely urban stores in Manhattan, Brooklyn, Chicago, and San Francisco where Lowe's has a token presence at best. Across the 20 largest metros, Home Depot's advantage runs substantially wider than its 30% national edge. Illinois flips to Home Depot because Illinois is mostly metro Chicago.

Lowe's over-indexes in small metros, micropolitan areas, and rural counties, especially in the Southeast. A meaningful share of Lowe's stores have no Home Depot within a 20 to 30 minute drive. In those markets Lowe's isn't the alternative to Home Depot; it's the only big box in the category, competing with regional hardware chains and independent lumberyards.

Why the split? Follow the customer. Contractors cluster where construction and renovation activity is, which means metros. A Pro loading a truck at 6am wants a store near the job site with deep in-stock lumber. Home Depot's metro density is Pro strategy expressed as real estate. Lowe's DIY-homeowner orientation fits trade areas where the customer is a homeowner with a weekend project, not a crew with a deadline.

How Often They Actually Fight

For every Lowe's in the dataset we computed the distance to the nearest Home Depot. Roughly 60% of Lowe's stores have a Home Depot within 5 miles, and in large metros that climbs above 80%. Direct co-location, the two stores sharing an interchange or glaring at each other across an arterial road, is common enough that most suburban Americans can picture a local example. (One of us drives past exactly that pairing weekly and had assumed it was universal. It isn't, and the 40% where it isn't is the interesting part.)

Flip the direction and the story changes: a noticeably smaller share of Home Depots have a Lowe's within 5 miles, partly because Home Depot has more stores, partly because its urban locations sit in trade areas Lowe's never entered.

The strategic readout: in metros this is a head-to-head share fight where differentiation comes from Pro services, in-stock depth, and price perception rather than location convenience. Lowe's real moat is the roughly 40% of its stores with no nearby Home Depot, disproportionately Southeastern and rural, plausibly among its most defensible assets because those markets are too small to attract a second big box. And whitespace is essentially gone; recent-year net new openings for both chains have run in the low dozens annually. Growth now comes from share shift and Pro wallet capture, not new dots.

The Pro Strategy, Visible From Orbit

You can read the Pro strategy in the scraped data without opening a single earnings call. Home Depot's newer investments cluster around flatbed distribution centers and Pro-fulfillment sites near metro cores, supply chain built for delivering lumber to job sites rather than just restocking shelves. Density itself is a Pro feature: multiple Home Depots across a metro means a contractor is never far from a mid-job restock.

Lowe's has been publicly chasing the Pro segment, and its acquisitions and urban remodels show the intent. But its store map, lighter in exactly the metros where Pros concentrate, is the constraint it has to work around. A chain's store map is its strategy, fossilized. Announcements change quarterly; the map changes over decades.

The Attribute Fields Are Underrated

Locator pages carry more than addresses, and honestly the attribute fields are often more analytically valuable than the coordinates. Home Depot lists tool rental at a large share of stores, a Pro-facing service with real revenue attached; watching new rental centers appear tracks the Pro buildout store by store. Both chains flag garden centers, which shows where each invests in seasonal categories regionally. Store hours are a demand signal hiding in plain sight (that standard 6am opening exists for contractors), and Pro desks and pickup lockers map the omnichannel rollout market by market.

Snapshot these quarterly and you get a change log of strategy. A wave of tool-rental additions across Texas metros says more about Home Depot's Pro ambitions than any press release. The same attribute-diffing approach powered the drive-through findings in our coffee-chain study; formats diverge in the data long before it's obvious on the ground.

What This Data Can't Tell You

Location data answers "where" precisely and "how well" not at all. Two stores five miles apart can do wildly different volume, and nothing in a locator will tell you which is which; pairing locations with foot-traffic estimates, review counts, or demographic overlays is where the analysis gets sharp. Our 5-mile overlap metric is also a deliberate simplification. Real trade areas follow drive times, rivers, and highway barriers, and serious site models use isochrones, with scraped coordinates as the input rather than the output.

None of that threatens the core findings. The California gap, the Carolina fortress, and the metro/rural split are far too large to be artifacts. It just defines what the next layer of analysis should add.

Who Pays for This

Specific teams buy exactly this analysis. Commercial real estate investors use big-box locations as anchors for valuing adjacent parcels; knowing which trade areas have one, both, or neither chain feeds site scoring models, and our guide to scraping Google Maps data for retail expansion covers the complementary POI-based approach. Building-products brands map their retail partners' footprints against contractor density to plan distribution. Regional hardware chains, Ace and True Value affiliates, and Menards use the overlap map to find trade areas where neither giant is close, the same gap analysis we ran in our Walmart vs Target study. And investors track quarterly locator snapshots to catch openings, closures, and format changes ahead of company disclosures.

How We Built the Dataset

Both chains publish locators with addresses, coordinates, hours, and per-store service attributes. Collecting them completely is a solved problem for us and a real engineering task in-house. The locator APIs paginate by radius search, so you have to design a geographic sweep that covers the whole country without missing low-density counties or hammering the endpoints; both sites sit behind commercial bot management; and the raw output needs deduplication, address normalization, and geocoding validation before it's worth analyzing. (Address normalization sounds trivial until suite numbers and rebranded plaza names start breaking your joins.) ScrapeAny runs that pipeline as a managed service: one-time snapshots or scheduled quarterly refreshes, delivered as clean CSV, JSON, or straight to your database, for these two chains or any retailer with a public locator.

Get the Map for Your Market

Every physical-retail question, where to open, what a parcel is worth, where a competitor is weak, starts with an accurate location dataset, and store locators are the most current public source there is. If your team needs location data for home improvement or any other chain footprint, tell us what you're mapping and we'll deliver a working sample within days.