Data2SalesAI

Shopping Mall Database of Washington Latest August 2026 Updated

Recently Updated
Live Sample Preview
Shopping Mall Database of Washington Latest August 2026 Updated 4.3 ★★★★★ ★★★★★ Verified buyers
Updated: Aug 12, 2026

🌐 Shopping Mall Database of Washington Latest August 2026 Updated

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)1,423
Rows (Extended)2,845
Sales0
Views22
CountryUnited States
📦 Data2Sales AI
On Sale

Coverage across Washington

This dataset covers 2,845 verified records spread across 39+ districts in Washington. 2,845 records carry a verified phone number and 996 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Snohomish (669 listings), Ferry (334 listings), Pend Oreille (223 listings), Lewis (167 listings), Stevens (134 listings), Whitman (111 listings), Clallam (96 listings), and Wahkiakum (84 listings).

Additional coverage spans Whatcom (74), Yakima (67), Adams (61), Benton (56), San Juan (51), Clark (48), Pierce (45), Okanogan (42), Chelan (39), Klickitat (37), Kittitas (35), Lincoln (33) , plus 19 more districts.

Coverage in Washington — by district

Total rows:2,845 With mobile:2,845 With website:996
Districts Total With mobile With website
Snohomish 669 669 234
Ferry 334 334 117
Pend Oreille 223 223 78
Lewis 167 167 58
Stevens 134 134 47
Whitman 111 111 39
Clallam 96 96 34
Wahkiakum 84 84 29
Whatcom 74 74 26
Yakima 67 67 23
All districts (39) 2,845 2,845 996

Coverage in Washington — all 39 districts

Districts Total With mobile With website
Snohomish 669 669 234
Ferry 334 334 117
Pend Oreille 223 223 78
Lewis 167 167 58
Stevens 134 134 47
Whitman 111 111 39
Clallam 96 96 34
Wahkiakum 84 84 29
Whatcom 74 74 26
Yakima 67 67 23
Adams 61 61 21
Benton 56 56 20
San Juan 51 51 18
Clark 48 48 17
Pierce 45 45 16
Okanogan 42 42 15
Chelan 39 39 14
Klickitat 37 37 13
Kittitas 35 35 12
Lincoln 33 33 12
Grant 32 32 11
King 30 30 11
Skamania 29 29 10
Grays Harbor 28 28 10
Mason 27 27 9
Kitsap 26 26 9
Spokane 25 25 9
Pacific 24 24 8
Columbia 23 23 8
Skagit 22 22 8
Jefferson 22 22 8
Walla Walla 21 21 7
Asotin 20 20 7
Douglas 20 20 7
Garfield 19 19 7
Thurston 19 19 7
Cowlitz 18 18 6
Island 18 18 6
Franklin 16 16 6
All districts (39) 2,845 2,845 996

Related coverage — same industry Drill up for wider coverage

115,001+ rows $1,148.40 $975.60 −15% OFF

Shopping Malls Database — United States

The Shopping Malls database for Washington, United States includes 2,845+ 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

  • Sales prospecting — feed shopping malls leads in Washington, United States straight into your CRM and outbound cadence.
  • Distribution planning — overlay shopping malls pins onto your fulfilment map for Washington, United States.
  • Verticalised plays — build separate cadences per Washington, United States state for the shopping malls segment.

Frequently asked about this dataset

How many businesses are in the Shopping Malls database for Washington, United States?

The Shopping Malls database for Washington, United States contains 2,845+ 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 Shopping Malls database for Washington, United States?

The complete Shopping Malls database for Washington, 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 Shopping Malls 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 Shopping Malls data for Washington, 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 shopping malls footprint in Washington, United States.

Is the Shopping Malls dataset updated regularly?

Yes. The Shopping Malls 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 Shopping Malls 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 Shopping Malls 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 Shopping Malls Database in Washington, United States

The World Wide Data Database for Washington, United States is a 2,845+ 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.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 12, 2026 05:45 AM

Published:

Jul 06, 2026 12:04 PM

Rows (Regular):

1,423

Rows (Extended):

2,845

Category:

Similar items

Roll-up datasets — broader coverage at a higher tier are highlighted below.

Country roll-up