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This dataset covers 18,376 verified records spread across 254+ districts in England. 18,376 records carry a verified phone number and 6,432 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are North East Derbyshire (3,000 listings), Manchester (1,500 listings), Burnley (1,000 listings), Wigan (750 listings), Gosport (600 listings), Stoke-on-Trent (500 listings), Wyre Forest (429 listings), and Braintree (375 listings).
Additional coverage spans Sutton (333), South Ribble (300), Bournemouth Christchurch and Poole (273), Islington (250), North Lincolnshire (231), East Staffordshire (214), Blackpool (200), Charnwood (188), Forest of Dean (176), Teignbridge (167), Great Yarmouth (150), Southend-on-Sea (143) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| North East Derbyshire | 3,000 | 3,000 | 1,050 |
| Manchester | 1,500 | 1,500 | 525 |
| Burnley | 1,000 | 1,000 | 350 |
| Wigan | 750 | 750 | 263 |
| Gosport | 600 | 600 | 210 |
| Stoke-on-Trent | 500 | 500 | 175 |
| Wyre Forest | 429 | 429 | 150 |
| Braintree | 375 | 375 | 131 |
| Sutton | 333 | 333 | 117 |
| South Ribble | 300 | 300 | 105 |
| All districts (256) | 18,376 | 18,376 | 6,432 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| North East Derbyshire | 3,000 | 3,000 | 1,050 |
| Manchester | 1,500 | 1,500 | 525 |
| Burnley | 1,000 | 1,000 | 350 |
| Wigan | 750 | 750 | 263 |
| Gosport | 600 | 600 | 210 |
| Stoke-on-Trent | 500 | 500 | 175 |
| Wyre Forest | 429 | 429 | 150 |
| Braintree | 375 | 375 | 131 |
| Sutton | 333 | 333 | 117 |
| South Ribble | 300 | 300 | 105 |
| Bournemouth Christchurch and Poole | 273 | 273 | 96 |
| Islington | 250 | 250 | 88 |
| North Lincolnshire | 231 | 231 | 81 |
| East Staffordshire | 214 | 214 | 75 |
| Blackpool | 200 | 200 | 70 |
| Charnwood | 188 | 188 | 66 |
| Forest of Dean | 176 | 176 | 62 |
| Teignbridge | 167 | 167 | 58 |
| Rother | 158 | 158 | 55 |
| Great Yarmouth | 150 | 150 | 53 |
| Southend-on-Sea | 143 | 143 | 50 |
| Southwark | 136 | 136 | 48 |
| Newcastle upon Tyne | 130 | 130 | 46 |
| Dorset | 125 | 125 | 44 |
| Enfield | 120 | 120 | 42 |
| Cotswold | 115 | 115 | 40 |
| Uttlesford | 111 | 111 | 39 |
| Mid Suffolk | 107 | 107 | 37 |
| Torbay | 103 | 103 | 36 |
| Medway | 100 | 100 | 35 |
| Dartford | 97 | 97 | 34 |
| Eastleigh | 94 | 94 | 33 |
| Durham | 91 | 91 | 32 |
| Lincoln | 88 | 88 | 31 |
| Gravesham | 86 | 86 | 30 |
| Chelmsford | 83 | 83 | 29 |
| Warwick | 81 | 81 | 28 |
| Derbyshire Dales | 79 | 79 | 28 |
| Cheshire East | 77 | 77 | 27 |
| East Lindsey | 75 | 75 | 26 |
| Exeter | 73 | 73 | 26 |
| Hinckley and Bosworth | 71 | 71 | 25 |
| Salford | 70 | 70 | 25 |
| Tendring | 68 | 68 | 24 |
| Buckinghamshire | 67 | 67 | 23 |
| Havering | 65 | 65 | 23 |
| Westminster | 64 | 64 | 22 |
| Maldon | 63 | 63 | 22 |
| Dudley | 61 | 61 | 21 |
| Waltham Forest | 60 | 60 | 21 |
| Cherwell | 59 | 59 | 21 |
| Bristol | 58 | 58 | 20 |
| Peterborough | 57 | 57 | 20 |
| Blaby | 56 | 56 | 20 |
| Hounslow | 55 | 55 | 19 |
| Reading | 54 | 54 | 19 |
| Hammersmith and Fulham | 53 | 53 | 19 |
| North Somerset | 52 | 52 | 18 |
| Cheltenham | 51 | 51 | 18 |
| Folkestone and Hythe | 50 | 50 | 18 |
| Wealden | 49 | 49 | 17 |
| Coventry | 48 | 48 | 17 |
| North Norfolk | 48 | 48 | 17 |
| East Hampshire | 47 | 47 | 16 |
| Wandsworth | 46 | 46 | 16 |
| West Suffolk | 45 | 45 | 16 |
| East Riding of Yorkshire | 45 | 45 | 16 |
| Brentwood | 44 | 44 | 15 |
| West Lancashire | 43 | 43 | 15 |
| Sandwell | 43 | 43 | 15 |
| Leeds | 42 | 42 | 15 |
| Basingstoke and Deane | 42 | 42 | 15 |
| Lewes | 41 | 41 | 14 |
| Somerset | 41 | 41 | 14 |
| Wychavon | 40 | 40 | 14 |
| Gloucester | 39 | 39 | 14 |
| High Peak | 39 | 39 | 14 |
| Leicester | 38 | 38 | 13 |
| Bedford | 38 | 38 | 13 |
| Stroud | 38 | 38 | 13 |
| Wolverhampton | 37 | 37 | 13 |
| Kingston upon Hull | 37 | 37 | 13 |
| Oldham | 36 | 36 | 13 |
| Doncaster | 36 | 36 | 13 |
| Camden | 35 | 35 | 12 |
| Brent | 35 | 35 | 12 |
| Lambeth | 34 | 34 | 12 |
| West Oxfordshire | 34 | 34 | 12 |
| Warrington | 34 | 34 | 12 |
| Cornwall | 33 | 33 | 12 |
| Isle of Wight | 33 | 33 | 12 |
| Hackney | 33 | 33 | 12 |
| Barking and Dagenham | 32 | 32 | 11 |
| Middlesbrough | 32 | 32 | 11 |
| South Gloucestershire | 32 | 32 | 11 |
| North West Leicestershire | 31 | 31 | 11 |
| Erewash | 31 | 31 | 11 |
| West Sussex | 31 | 31 | 11 |
| North Tyneside | 30 | 30 | 11 |
| Halton | 30 | 30 | 11 |
| Swale | 30 | 30 | 11 |
| South Hams | 29 | 29 | 10 |
| Herefordshire | 29 | 29 | 10 |
| Babergh | 29 | 29 | 10 |
| North Warwickshire | 29 | 29 | 10 |
| Wirral | 28 | 28 | 10 |
| Walsall | 28 | 28 | 10 |
| Sunderland | 28 | 28 | 10 |
| Barnet | 28 | 28 | 10 |
| East Suffolk | 27 | 27 | 9 |
| Bradford | 27 | 27 | 9 |
| Test Valley | 27 | 27 | 9 |
| North Kesteven | 27 | 27 | 9 |
| Dover | 26 | 26 | 9 |
| Shropshire | 26 | 26 | 9 |
| Hastings | 26 | 26 | 9 |
| Ashford | 26 | 26 | 9 |
| Pendle | 25 | 25 | 9 |
| Tower Hamlets | 25 | 25 | 9 |
| Oxford | 25 | 25 | 9 |
| City of London | 25 | 25 | 9 |
| Blackburn with Darwen | 25 | 25 | 9 |
| Norwich | 24 | 24 | 8 |
| Harborough | 24 | 24 | 8 |
| Chesterfield | 24 | 24 | 8 |
| West Lindsey | 24 | 24 | 8 |
| Kingston upon Thames | 24 | 24 | 8 |
| Calderdale | 23 | 23 | 8 |
| Merton | 23 | 23 | 8 |
| Cheshire West and Chester | 23 | 23 | 8 |
| Boston | 23 | 23 | 8 |
| Hyndburn | 23 | 23 | 8 |
| Sheffield | 23 | 23 | 8 |
| Oadby and Wigston | 22 | 22 | 8 |
| Thurrock | 22 | 22 | 8 |
| Rugby | 22 | 22 | 8 |
| Hillingdon | 22 | 22 | 8 |
| Gateshead | 22 | 22 | 8 |
| Ipswich | 22 | 22 | 8 |
| Haringey | 21 | 21 | 7 |
| Bolton | 21 | 21 | 7 |
| Portsmouth | 21 | 21 | 7 |
| Bexley | 21 | 21 | 7 |
| South Staffordshire | 21 | 21 | 7 |
| Epping Forest | 21 | 21 | 7 |
| Castle Point | 21 | 21 | 7 |
| Bath and North East Somerset | 20 | 20 | 7 |
| Rushmoor | 20 | 20 | 7 |
| Mid Devon | 20 | 20 | 7 |
| Wiltshire | 20 | 20 | 7 |
| Westmorland and Furness | 20 | 20 | 7 |
| Newcastle-under-Lyme | 20 | 20 | 7 |
| New Forest | 20 | 20 | 7 |
| Bracknell Forest | 19 | 19 | 7 |
| Liverpool | 19 | 19 | 7 |
| Breckland | 19 | 19 | 7 |
| Winchester | 19 | 19 | 7 |
| Lewisham | 19 | 19 | 7 |
| Redcar and Cleveland | 19 | 19 | 7 |
| Luton | 19 | 19 | 7 |
| Lichfield | 19 | 19 | 7 |
| North Devon | 19 | 19 | 7 |
| Nuneaton and Bedworth | 18 | 18 | 6 |
| Tonbridge and Malling | 18 | 18 | 6 |
| King's Lynn and West Norfolk | 18 | 18 | 6 |
| Worcester | 18 | 18 | 6 |
| Sefton | 18 | 18 | 6 |
| Rotherham | 18 | 18 | 6 |
| Wokingham | 18 | 18 | 6 |
| Northumberland | 18 | 18 | 6 |
| Colchester | 18 | 18 | 6 |
| Bromley | 17 | 17 | 6 |
| South Holland | 17 | 17 | 6 |
| Rochford | 17 | 17 | 6 |
| Chorley | 17 | 17 | 6 |
| West Berkshire | 17 | 17 | 6 |
| Telford and Wrekin | 17 | 17 | 6 |
| Croydon | 17 | 17 | 6 |
| Rochdale | 17 | 17 | 6 |
| Bolsover | 17 | 17 | 6 |
| South Derbyshire | 17 | 17 | 6 |
| Milton Keynes | 16 | 16 | 6 |
| Bromsgrove | 16 | 16 | 6 |
| Central Bedfordshire | 16 | 16 | 6 |
| Havant | 16 | 16 | 6 |
| East Sussex | 16 | 16 | 6 |
| Wyre | 16 | 16 | 6 |
| Richmond upon Thames | 16 | 16 | 6 |
| Harlow | 16 | 16 | 6 |
| Amber Valley | 16 | 16 | 6 |
| Torridge | 16 | 16 | 6 |
| Kensington and Chelsea | 16 | 16 | 6 |
| Canterbury | 16 | 16 | 6 |
| Ealing | 15 | 15 | 5 |
| West Northamptonshire | 15 | 15 | 5 |
| Trafford | 15 | 15 | 5 |
| Cumberland | 15 | 15 | 5 |
| Darlington | 15 | 15 | 5 |
| North East Lincolnshire | 15 | 15 | 5 |
| West Devon | 15 | 15 | 5 |
| Birmingham | 15 | 15 | 5 |
| Harrow | 15 | 15 | 5 |
| South Oxfordshire | 15 | 15 | 5 |
| Plymouth | 15 | 15 | 5 |
| Solihull | 15 | 15 | 5 |
| St Helens | 15 | 15 | 5 |
| Stockport | 14 | 14 | 5 |
| York | 14 | 14 | 5 |
| Tunbridge Wells | 14 | 14 | 5 |
| Staffordshire Moorlands | 14 | 14 | 5 |
| Fareham | 14 | 14 | 5 |
| Stafford | 14 | 14 | 5 |
| Slough | 14 | 14 | 5 |
| Tameside | 14 | 14 | 5 |
| South Tyneside | 14 | 14 | 5 |
| Melton | 14 | 14 | 5 |
| Stockton-on-Tees | 14 | 14 | 5 |
| Maidstone | 14 | 14 | 5 |
| Redbridge | 14 | 14 | 5 |
| Rutland | 14 | 14 | 5 |
| Worcestershire | 14 | 14 | 5 |
| Knowsley | 14 | 14 | 5 |
| South Kesteven | 13 | 13 | 5 |
| East Devon | 13 | 13 | 5 |
| Rossendale | 13 | 13 | 5 |
| Stratford-on-Avon | 13 | 13 | 5 |
| Hart | 13 | 13 | 5 |
| Newham | 13 | 13 | 5 |
| Windsor and Maidenhead | 13 | 13 | 5 |
| Derby | 13 | 13 | 5 |
| Bury | 13 | 13 | 5 |
| Ribble Valley | 13 | 13 | 5 |
| Tamworth | 13 | 13 | 5 |
| Brighton and Hove | 13 | 13 | 5 |
| Broadland | 13 | 13 | 5 |
| Wakefield | 13 | 13 | 5 |
| Sevenoaks | 13 | 13 | 5 |
| Fylde | 13 | 13 | 5 |
| Greenwich | 13 | 13 | 5 |
| South Norfolk | 13 | 13 | 5 |
| Swindon | 12 | 12 | 4 |
| Malvern Hills | 12 | 12 | 4 |
| Barnsley | 12 | 12 | 4 |
| Cannock Chase | 12 | 12 | 4 |
| Nottingham | 12 | 12 | 4 |
| Kirklees | 12 | 12 | 4 |
| Preston | 12 | 12 | 4 |
| Basildon | 12 | 12 | 4 |
| Redditch | 12 | 12 | 4 |
| Hartlepool | 12 | 12 | 4 |
| Vale of White Horse | 12 | 12 | 4 |
| Eastbourne | 12 | 12 | 4 |
| Southampton | 12 | 12 | 4 |
| Thanet | 12 | 12 | 4 |
| Lancaster | 12 | 12 | 4 |
| Tewkesbury | 12 | 12 | 4 |
| All districts (256) | 18,376 | 18,376 | 6,432 |
The Clothing Retail stores database includes 18,376+ verified Clothing Retail stores in England, United Kingdom 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.
Cecil (GB) bought 1 day ago · Beth (IN) bought 2 days ago · Astha (GB) bought 3 days ago · Ajay (GB) bought 4 days ago · Sydni (GB) bought 5 days ago
There are roughly 18,376+ Clothing Retail stores in England, United Kingdom 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 Clothing Retail stores CSV covering all of England, United Kingdom within seconds. Every row is human-checked.
Every record in the Clothing Retail stores dataset includes: Clothing Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Each Clothing Retail row goes through phone validation, address cross-check against Google Maps and a check against the official Clothing Retail England, United Kingdom locator. Records that fail any of those drop before you ever see them.
Yes. The Clothing 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 Clothing 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 Clothing Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for England, United Kingdom is a 18,376+ 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.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 03:12 AM
Rows (Regular):
9,188
Rows (Extended):
18,376
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
