Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 219 verified records spread across 64+ districts in South Australia. 219 records carry a verified phone number and 77 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Karoonda East Murray (46 listings), Mount Gambier (23 listings), Mitcham (15 listings), Loxton Waikerie (12 listings), Murray Bridge (9 listings), Streaky Bay (8 listings), Flinders Ranges (7 listings), and Port Augusta (6 listings).
Additional coverage spans Elliston (5), Clare and Gilbert Valleys (5), Orroroo Carrieton (4), Walkerville (4), Renmark Paringa (4), Burnside (3), Norwood Payneham and St Peters (3), Port Lincoln (3), Robe (3), Northern Areas (3), Yorke Peninsula (2), Mallala (2) , plus 44 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Karoonda East Murray | 46 | 46 | 16 |
| Mount Gambier | 23 | 23 | 8 |
| Mitcham | 15 | 15 | 5 |
| Loxton Waikerie | 12 | 12 | 4 |
| Murray Bridge | 9 | 9 | 3 |
| Streaky Bay | 8 | 8 | 3 |
| Flinders Ranges | 7 | 7 | 2 |
| Port Augusta | 6 | 6 | 2 |
| Elliston | 5 | 5 | 2 |
| Clare and Gilbert Valleys | 5 | 5 | 2 |
| All districts (64) | 219 | 219 | 77 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Karoonda East Murray | 46 | 46 | 16 |
| Mount Gambier | 23 | 23 | 8 |
| Mitcham | 15 | 15 | 5 |
| Loxton Waikerie | 12 | 12 | 4 |
| Murray Bridge | 9 | 9 | 3 |
| Streaky Bay | 8 | 8 | 3 |
| Flinders Ranges | 7 | 7 | 2 |
| Port Augusta | 6 | 6 | 2 |
| Elliston | 5 | 5 | 2 |
| Clare and Gilbert Valleys | 5 | 5 | 2 |
| Orroroo Carrieton | 4 | 4 | 1 |
| Walkerville | 4 | 4 | 1 |
| Renmark Paringa | 4 | 4 | 1 |
| Burnside | 3 | 3 | 1 |
| Norwood Payneham and St Peters | 3 | 3 | 1 |
| Port Lincoln | 3 | 3 | 1 |
| Robe | 3 | 3 | 1 |
| Northern Areas | 3 | 3 | 1 |
| Yorke Peninsula | 2 | 2 | 1 |
| Mallala | 2 | 2 | 1 |
| Light | 2 | 2 | 1 |
| Mount Barker | 2 | 2 | 1 |
| Cleve | 2 | 2 | 1 |
| Barunga West | 2 | 2 | 1 |
| Unley | 2 | 2 | 1 |
| Roxby Downs | 2 | 2 | 1 |
| Kimba | 2 | 2 | 1 |
| Lower Eyre Peninsula | 2 | 2 | 1 |
| Onkaparinga | 2 | 2 | 1 |
| Port Pirie | 2 | 2 | 1 |
| Copper Coast | 1 | 1 | 0 |
| Kingston | 1 | 1 | 0 |
| Holdfast Bay | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Campbelltown | 1 | 1 | 0 |
| The Coorong | 1 | 1 | 0 |
| Tumby Bay | 1 | 1 | 0 |
| West Torrens | 1 | 1 | 0 |
| Southern Mallee | 1 | 1 | 0 |
| Playford | 1 | 1 | 0 |
| Goyder | 1 | 1 | 0 |
| Barossa | 1 | 1 | 0 |
| Ceduna | 1 | 1 | 0 |
| Peterborough | 1 | 1 | 0 |
| Mid Murray | 1 | 1 | 0 |
| Salisbury | 1 | 1 | 0 |
| Charles Sturt | 1 | 1 | 0 |
| Mount Remarkable | 1 | 1 | 0 |
| Prospect | 1 | 1 | 0 |
| Wattle Range | 1 | 1 | 0 |
| Gawler | 1 | 1 | 0 |
| Berri Barmera | 1 | 1 | 0 |
| Whyalla | 1 | 1 | 0 |
| Adelaide | 1 | 1 | 0 |
| Grant | 1 | 1 | 0 |
| Kangaroo Island | 1 | 1 | 0 |
| Naracoorte Lucindale | 1 | 1 | 0 |
| Coober Pedy | 1 | 1 | 0 |
| Wakefield | 1 | 1 | 0 |
| Franklin Harbour | 1 | 1 | 0 |
| Alexandrina | 1 | 1 | 0 |
| Tea Tree Gully | 1 | 1 | 0 |
| Port Adelaide Enfield | 1 | 1 | 0 |
| Victor Harbor | 1 | 1 | 0 |
| All districts (64) | 219 | 219 | 77 |
The Thrift stores database includes 219+ verified Thrift stores in South Australia, 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.
Ruth (GB) bought 2 days ago · Sydnie (AU) bought 2 days ago · Itzel (AU) bought 2 days ago · Haven (US) bought 2 days ago · Eden (AU) bought 2 days ago
There are roughly 219+ Thrift stores in South Australia, 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.
This page IS the download point. The Thrift stores CSV for South Australia, Australia ships immediately after payment and includes all verified store-level fields.
Per-row columns include Thrift 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.
Every Thrift location is cross-referenced across the Thrift store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Thrift footprint in South Australia, Australia.
Yes. The Thrift 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 Thrift 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 Thrift 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 South Australia, Australia consolidates 219+ 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:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
219
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
