Our data holds 2,156 food businesses in Wolverhampton, rated between 2016-02-01 and 2026-08-18. 71.1% (1,532) are rated 5 (very good), above the 68.9% average across all 329 local authorities in our data. 100 (4.6%) are rated 0 to 2 (improvement required). That places Wolverhampton 175th of 329 local authorities by share of food businesses rated 5 (very good).
| hygiene rating | Count | Share |
|---|---|---|
| 5 (very good) | 1,532 | 71.1% |
| 4 (good) | 302 | 14% |
| 3 (generally satisfactory) | 106 | 4.9% |
| 2 (improvement necessary) | 23 | 1.1% |
| 1 (major improvement necessary) | 73 | 3.4% |
| 0 (urgent improvement necessary) | 4 | 0.2% |
| Awaiting inspection | 73 | 3.4% |
| Exempt | 43 | 2% |
The 20 most recent of 100. Results are dated and may have changed since; check the source before relying on them.
| Name | hygiene rating | Rated | Type | Postcode |
|---|---|---|---|---|
| Aibe Mini Market | 1 (major improvement necessary) | 2026-07-16 | Retailers - other | WV2 3DN |
| Kurdistan Market | 1 (major improvement necessary) | 2026-07-16 | Retailers - other | WV3 0PN |
| Wing Wah | 1 (major improvement necessary) | 2026-07-08 | Takeaway/sandwich shop | WV14 0LH |
| Munch Inn Cafe | 2 (improvement necessary) | 2026-07-07 | Restaurant/Cafe/Canteen | WV11 1HZ |
| Jass Catering | 1 (major improvement necessary) | 2026-07-07 | Takeaway/sandwich shop | WV13 3AE |
| Londis Bassi Supermarket | 1 (major improvement necessary) | 2026-07-07 | Retailers - other | WV3 9RY |
| Citah | 1 (major improvement necessary) | 2026-06-29 | Retailers - other | |
| Dudley Road Supermarket | 1 (major improvement necessary) | 2026-06-28 | Retailers - other | WV2 3JP |
| Sweet Elohim Afro Resto Ltd | 0 (urgent improvement necessary) | 2026-06-23 | Restaurant/Cafe/Canteen | WV1 1EQ |
| Smoke And Wine Store | 1 (major improvement necessary) | 2026-06-18 | Retailers - other | WV1 3JW |
| Famous News | 1 (major improvement necessary) | 2026-06-17 | Retailers - other | WV11 1NW |
| Sagar IV Sweets & Tandoori | 2 (improvement necessary) | 2026-06-16 | Takeaway/sandwich shop | WV2 3AQ |
| Fire Feast | 2 (improvement necessary) | 2026-06-10 | Takeaway/sandwich shop | WV1 1NA |
| Golden UK Fried Chicken | 1 (major improvement necessary) | 2026-05-28 | Takeaway/sandwich shop | WV6 0RY |
| One Stop Spring Road | 1 (major improvement necessary) | 2026-05-20 | Retailers - other | WV4 6LQ |
| Penny's Cafe | 1 (major improvement necessary) | 2026-05-19 | Restaurant/Cafe/Canteen | WV4 4HU |
| Freshys | 1 (major improvement necessary) | 2026-05-12 | Takeaway/sandwich shop | WV2 3AQ |
| Casa Lupa Ata Street Rito Ata Amigo TacoAta Favorite Chicken | 0 (urgent improvement necessary) | 2026-05-12 | Restaurant/Cafe/Canteen | WV1 3PW |
| Dixy Chicken | 1 (major improvement necessary) | 2026-05-06 | Restaurant/Cafe/Canteen | WV1 3AG |
| Spice Wave | 1 (major improvement necessary) | 2026-04-30 | Takeaway/sandwich shop | WV3 0PU |
Preview the rows free. When they are right, download the full list for £4.99 one-off (no account), or go unlimited at £19/mo; it opens in Excel and imports into Google Sheets or any CRM. Or pull it straight into your code or your AI agent via the API or MCP.
Preview and download About this datasetcurl "https://datascoop.io/v1/datasets/fsa/query?localAuthority=Wolverhampton&format=csv" \ -H "Authorization: Bearer YOUR_KEY"
Or connect an MCP client (setup) and call query_dataset with localAuthority: "Wolverhampton". Google Sheets: =IMPORTDATA("https://datascoop.io/v1/datasets/fsa/query?localAuthority=Wolverhampton&format=csv&api_key=YOUR_KEY").
1,532 of 2,156 food businesses in Wolverhampton (71.1%) are rated 5 (very good), as of 2026-08-18.
100 food businesses in Wolverhampton are rated 0 to 2 (improvement required). The most recently rated are listed on this page; the full list is available as a spreadsheet download.
It is refreshed weekly from the official source (Contains public sector information licensed under the Open Government Licence v3). The most recent record for Wolverhampton was rated on 2026-08-18.
Yes. Preview the rows free, then download every row as a CSV that opens in Excel for a small one-off price, or query the same data through the REST API or the MCP server for AI agents.
