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This dataset covers 374 verified records spread across 76+ districts in Victoria. 374 records carry a verified phone number and 131 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Ararat (76 listings), Maribyrnong (38 listings), Greater Geelong (25 listings), Stonnington (19 listings), Brimbank (15 listings), Horsham (13 listings), Corangamite (11 listings), and Wellington (10 listings).
Additional coverage spans Wodonga (8), Greater Bendigo (8), Ballarat (7), Wyndham (6), Moyne (6), Melton (5), Swan Hill (5), Hume (5), Benalla (5), Buloke (4), Glenelg (4), Frankston (4) , plus 56 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ararat | 76 | 76 | 27 |
| Maribyrnong | 38 | 38 | 13 |
| Greater Geelong | 25 | 25 | 9 |
| Stonnington | 19 | 19 | 7 |
| Brimbank | 15 | 15 | 5 |
| Horsham | 13 | 13 | 5 |
| Corangamite | 11 | 11 | 4 |
| Wellington | 10 | 10 | 4 |
| Wodonga | 8 | 8 | 3 |
| Greater Bendigo | 8 | 8 | 3 |
| All districts (76) | 374 | 374 | 131 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ararat | 76 | 76 | 27 |
| Maribyrnong | 38 | 38 | 13 |
| Greater Geelong | 25 | 25 | 9 |
| Stonnington | 19 | 19 | 7 |
| Brimbank | 15 | 15 | 5 |
| Horsham | 13 | 13 | 5 |
| Corangamite | 11 | 11 | 4 |
| Wellington | 10 | 10 | 4 |
| Wodonga | 8 | 8 | 3 |
| Greater Bendigo | 8 | 8 | 3 |
| Ballarat | 7 | 7 | 2 |
| Wyndham | 6 | 6 | 2 |
| Moyne | 6 | 6 | 2 |
| Melton | 5 | 5 | 2 |
| Swan Hill | 5 | 5 | 2 |
| Hume | 5 | 5 | 2 |
| Benalla | 5 | 5 | 2 |
| Buloke | 4 | 4 | 1 |
| Glenelg | 4 | 4 | 1 |
| Frankston | 4 | 4 | 1 |
| Strathbogie | 4 | 4 | 1 |
| Mount Alexander | 4 | 4 | 1 |
| Hobsons Bay | 3 | 3 | 1 |
| Glen Eira | 3 | 3 | 1 |
| Wangaratta | 3 | 3 | 1 |
| Moorabool | 3 | 3 | 1 |
| Baw Baw | 3 | 3 | 1 |
| Greater Shepparton | 3 | 3 | 1 |
| Bass Coast | 3 | 3 | 1 |
| Knox | 3 | 3 | 1 |
| Loddon | 3 | 3 | 1 |
| Port Phillip | 2 | 2 | 1 |
| Murrindindi | 2 | 2 | 1 |
| Colac Otway | 2 | 2 | 1 |
| Mitchell | 2 | 2 | 1 |
| Queenscliffe | 2 | 2 | 1 |
| Warrnambool | 2 | 2 | 1 |
| Gannawarra | 2 | 2 | 1 |
| Hindmarsh | 2 | 2 | 1 |
| Greater Dandenong | 2 | 2 | 1 |
| Bayside | 2 | 2 | 1 |
| Yarriambiack | 2 | 2 | 1 |
| Maroondah | 2 | 2 | 1 |
| Casey | 2 | 2 | 1 |
| Cardinia | 2 | 2 | 1 |
| West Wimmera | 2 | 2 | 1 |
| Mornington Peninsula | 2 | 2 | 1 |
| Surf Coast | 2 | 2 | 1 |
| Boroondara | 2 | 2 | 1 |
| Nillumbik | 2 | 2 | 1 |
| Yarra | 2 | 2 | 1 |
| Towong | 1 | 1 | 0 |
| Campaspe | 1 | 1 | 0 |
| Indigo | 1 | 1 | 0 |
| Manningham | 1 | 1 | 0 |
| East Gippsland | 1 | 1 | 0 |
| Whitehorse | 1 | 1 | 0 |
| Hepburn | 1 | 1 | 0 |
| Monash | 1 | 1 | 0 |
| Darebin | 1 | 1 | 0 |
| Northern Grampians | 1 | 1 | 0 |
| Alpine | 1 | 1 | 0 |
| Pyrenees | 1 | 1 | 0 |
| Moira | 1 | 1 | 0 |
| Central Goldfields | 1 | 1 | 0 |
| Yarra Ranges | 1 | 1 | 0 |
| Moonee Valley | 1 | 1 | 0 |
| South Gippsland | 1 | 1 | 0 |
| Moreland | 1 | 1 | 0 |
| Banyule | 1 | 1 | 0 |
| Southern Grampians | 1 | 1 | 0 |
| Golden Plains | 1 | 1 | 0 |
| Macedon Ranges | 1 | 1 | 0 |
| Whittlesea | 1 | 1 | 0 |
| Mildura | 1 | 1 | 0 |
| Melbourne | 1 | 1 | 0 |
| All districts (76) | 374 | 374 | 131 |
The Furniture Retail stores database includes 374+ verified Furniture Retail stores in Victoria, Australia with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Bradley (US) bought 2 days ago · Keira (AU) bought 2 days ago · Dave (AU) bought 4 days ago · Otho (US) bought 5 days ago · Kevin (US) bought 1 week ago
There are roughly 374+ Furniture Retail stores in Victoria, Australia as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Furniture Retail stores CSV covering all of Victoria, Australia within seconds. Every row is human-checked.
Per-row columns include Furniture Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Triple-source verification: the Furniture Retail store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Furniture Retail stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Furniture Retail catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Furniture Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Victoria, Australia consolidates 374+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
374
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
