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This dataset covers 835 verified records spread across 122+ districts in New South Wales. 835 records carry a verified phone number and 292 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Cowra (155 listings), Wentworth (78 listings), Temora (52 listings), Central Darling (39 listings), Albury (31 listings), Mid-Western Regional (26 listings), Burwood (22 listings), and Cumberland (19 listings).
Additional coverage spans Woollahra (17), Queanbeyan-Palerang Regional (16), Tenterfield (14), Murrumbidgee (13), Greater Hume (12), Northern Beaches (11), Byron (10), Griffith (10), Junee (9), Kyogle (9), North Sydney (8), Narrabri (8) , plus 102 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cowra | 155 | 155 | 54 |
| Wentworth | 78 | 78 | 27 |
| Temora | 52 | 52 | 18 |
| Central Darling | 39 | 39 | 14 |
| Albury | 31 | 31 | 11 |
| Mid-Western Regional | 26 | 26 | 9 |
| Burwood | 22 | 22 | 8 |
| Cumberland | 19 | 19 | 7 |
| Woollahra | 17 | 17 | 6 |
| Queanbeyan-Palerang Regional | 16 | 16 | 6 |
| All districts (122) | 835 | 835 | 292 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cowra | 155 | 155 | 54 |
| Wentworth | 78 | 78 | 27 |
| Temora | 52 | 52 | 18 |
| Central Darling | 39 | 39 | 14 |
| Albury | 31 | 31 | 11 |
| Mid-Western Regional | 26 | 26 | 9 |
| Burwood | 22 | 22 | 8 |
| Cumberland | 19 | 19 | 7 |
| Woollahra | 17 | 17 | 6 |
| Queanbeyan-Palerang Regional | 16 | 16 | 6 |
| Tenterfield | 14 | 14 | 5 |
| Murrumbidgee | 13 | 13 | 5 |
| Greater Hume | 12 | 12 | 4 |
| Northern Beaches | 11 | 11 | 4 |
| Byron | 10 | 10 | 4 |
| Griffith | 10 | 10 | 4 |
| Junee | 9 | 9 | 3 |
| Kyogle | 9 | 9 | 3 |
| North Sydney | 8 | 8 | 3 |
| Narrabri | 8 | 8 | 3 |
| Maitland | 7 | 7 | 2 |
| Port Macquarie-Hastings | 7 | 7 | 2 |
| Lithgow | 7 | 7 | 2 |
| Tweed | 6 | 6 | 2 |
| Wingecarribee | 6 | 6 | 2 |
| Mosman | 6 | 6 | 2 |
| Dubbo Regional | 6 | 6 | 2 |
| Yass Valley | 6 | 6 | 2 |
| Armidale Regional | 5 | 5 | 2 |
| Brewarrina | 5 | 5 | 2 |
| Port Stephens | 5 | 5 | 2 |
| Hawkesbury | 5 | 5 | 2 |
| Lake Macquarie | 5 | 5 | 2 |
| Goulburn Mulwaree | 5 | 5 | 2 |
| Upper Hunter Shire | 4 | 4 | 1 |
| Muswellbrook | 4 | 4 | 1 |
| Randwick | 4 | 4 | 1 |
| Cessnock | 4 | 4 | 1 |
| Coffs Harbour | 4 | 4 | 1 |
| Leeton | 4 | 4 | 1 |
| Snowy Monaro Regional | 4 | 4 | 1 |
| Bellingen | 4 | 4 | 1 |
| Lane Cove | 4 | 4 | 1 |
| Blue Mountains | 4 | 4 | 1 |
| Waverley | 3 | 3 | 1 |
| Gwydir | 3 | 3 | 1 |
| Oberon | 3 | 3 | 1 |
| Edward River | 3 | 3 | 1 |
| Dungog | 3 | 3 | 1 |
| Kempsey | 3 | 3 | 1 |
| Moree Plains | 3 | 3 | 1 |
| Camden | 3 | 3 | 1 |
| Walcha | 3 | 3 | 1 |
| Inverell | 3 | 3 | 1 |
| Blayney | 3 | 3 | 1 |
| Shellharbour | 3 | 3 | 1 |
| Bega Valley | 3 | 3 | 1 |
| Ku-ring-gai | 3 | 3 | 1 |
| Glen Innes Severn | 3 | 3 | 1 |
| Bourke | 3 | 3 | 1 |
| Snowy Valleys | 3 | 3 | 1 |
| Uralla | 3 | 3 | 1 |
| Gilgandra | 2 | 2 | 1 |
| Murray River | 2 | 2 | 1 |
| Eurobodalla | 2 | 2 | 1 |
| Hay | 2 | 2 | 1 |
| Lockhart | 2 | 2 | 1 |
| Parkes | 2 | 2 | 1 |
| Walgett | 2 | 2 | 1 |
| Upper Lachlan Shire | 2 | 2 | 1 |
| Hilltops | 2 | 2 | 1 |
| Broken Hill | 2 | 2 | 1 |
| Georges River | 2 | 2 | 1 |
| Liverpool | 2 | 2 | 1 |
| Bland | 2 | 2 | 1 |
| Lismore | 2 | 2 | 1 |
| Parramatta | 2 | 2 | 1 |
| Canada Bay | 2 | 2 | 1 |
| Ballina | 2 | 2 | 1 |
| Narrandera | 2 | 2 | 1 |
| Wagga Wagga | 2 | 2 | 1 |
| Cabonne | 2 | 2 | 1 |
| Liverpool Plains | 2 | 2 | 1 |
| Ryde | 2 | 2 | 1 |
| Singleton | 2 | 2 | 1 |
| Carrathool | 2 | 2 | 1 |
| Coonamble | 2 | 2 | 1 |
| Kiama | 2 | 2 | 1 |
| Orange | 2 | 2 | 1 |
| Wollongong | 2 | 2 | 1 |
| Federation | 2 | 2 | 1 |
| The Hills Shire | 2 | 2 | 1 |
| Fairfield | 2 | 2 | 1 |
| Tamworth Regional | 2 | 2 | 1 |
| Sutherland Shire | 2 | 2 | 1 |
| Penrith | 2 | 2 | 1 |
| Sydney | 2 | 2 | 1 |
| Bogan | 2 | 2 | 1 |
| Canterbury-Bankstown | 2 | 2 | 1 |
| Narromine | 2 | 2 | 1 |
| Wollondilly | 2 | 2 | 1 |
| Bathurst Regional | 2 | 2 | 1 |
| Newcastle | 2 | 2 | 1 |
| Balranald | 1 | 1 | 0 |
| Inner West | 1 | 1 | 0 |
| Shoalhaven | 1 | 1 | 0 |
| Blacktown | 1 | 1 | 0 |
| Coolamon | 1 | 1 | 0 |
| Gunnedah | 1 | 1 | 0 |
| Hornsby | 1 | 1 | 0 |
| Strathfield | 1 | 1 | 0 |
| Lachlan | 1 | 1 | 0 |
| Cootamundra-Gundagai Regional | 1 | 1 | 0 |
| Nambucca Valley | 1 | 1 | 0 |
| Forbes | 1 | 1 | 0 |
| Mid-Coast | 1 | 1 | 0 |
| Clarence Valley | 1 | 1 | 0 |
| Willoughby | 1 | 1 | 0 |
| Hunters Hill | 1 | 1 | 0 |
| Warrumbungle | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Cobar | 1 | 1 | 0 |
| All districts (122) | 835 | 835 | 292 |
The Shoe stores database includes 835+ verified Shoe stores in New South Wales, 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.
Anjana (AU) bought 1 day ago · Adam (AU) bought 3 days ago · Henry (IN) bought 3 days ago · Oscar (AU) bought 5 days ago · Grace (US) bought 5 days ago
There are roughly 835+ Shoe stores in New South Wales, 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 Shoe stores CSV covering all of New South Wales, Australia within seconds. Every row is human-checked.
Each Shoe record carries the full operational profile: Shoe store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Triple-source verification: the Shoe 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 Shoe 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 Shoe 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 Shoe stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in New South Wales, Australia? This database aggregates 835+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 01:53 AM
Rows (Extended):
835
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
