This dataset covers 6,421 verified records spread across
5+ states in Mountain South region.
6,421 records carry a verified phone number and
2,247 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density states are
Arizona (1,960 listings), Colorado (1,522 listings), Utah (1,220 listings), Nevada (1,052 listings), and New Mexico (667 listings).
Coverage in Mountain South region — by state
Total rows:6,421With mobile:6,421With website:2,247
States
Total
With mobile
With website
Arizona
1,960
1,960
686
Colorado
1,522
1,522
533
Utah
1,220
1,220
427
Nevada
1,052
1,052
368
New Mexico
667
667
233
All states (5)
6,421
6,421
2,247
Pharmacies Database — United States
The Pharmacies database for United States includes 6,421+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
How to use this data
Account-based marketing — target every pharmacies firm in United States with personalised plays.
Distribution planning — overlay pharmacies pins onto your fulfilment map for United States.
Pipeline reporting — surface pharmacies pipeline coverage in United States by city and state in your sales dashboards.
Frequently asked about this dataset
How many businesses are in the Pharmacies database for United States?
The Pharmacies database for United States contains 6,421+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
Where can I download a Pharmacies database for United States?
The complete Pharmacies database for United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
What fields are included in the Pharmacies dataset?
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Pharmacies data for United States?
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live pharmacies footprint in United States.
Is the Pharmacies dataset updated regularly?
Yes. The Pharmacies dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Can I use the Pharmacies data for marketing and outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
What format do I receive the Pharmacies database in?
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
How quickly can I download the dataset after purchase?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Pharmacies Database in Mountain South region, United States
The World Wide Data Database for United States is a 6,421+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
States included in this zone
This zone bundle aggregates every record from the 5 states below. Click a state to buy just that slice.