Our data holds 1,578 food businesses in Richmond-Upon-Thames, rated between 2021-09-25 and 2026-08-02. 65.4% (1,032) are rated 5 (very good), below the 68.9% average across all 329 local authorities in our data. 33 (2.1%) are rated 0 to 2 (improvement required). That places Richmond-Upon-Thames 240th of 329 local authorities by share of food businesses rated 5 (very good).
| hygiene rating | Count | Share |
|---|---|---|
| 5 (very good) | 1,032 | 65.4% |
| 4 (good) | 227 | 14.4% |
| 3 (generally satisfactory) | 96 | 6.1% |
| 2 (improvement necessary) | 12 | 0.8% |
| 1 (major improvement necessary) | 20 | 1.3% |
| 0 (urgent improvement necessary) | 1 | 0.1% |
| Awaiting inspection | 148 | 9.4% |
| Exempt | 42 | 2.7% |
The 20 most recent of 33. Results are dated and may have changed since; check the source before relying on them.
| Name | hygiene rating | Rated | Type | Postcode |
|---|---|---|---|---|
| Barnes Pantry | 1 (major improvement necessary) | 2026-06-15 | Retailers - other | SW13 9HH |
| Waldegrave Arms | 1 (major improvement necessary) | 2026-05-19 | Pub/bar/nightclub | |
| Jehoiakim Food Store | 1 (major improvement necessary) | 2026-05-14 | Retailers - other | TW2 6EH |
| Swiss Bread Bakery and Cafe | 1 (major improvement necessary) | 2026-05-12 | Restaurant/Cafe/Canteen | TW10 7NR |
| Kew Passion | 2 (improvement necessary) | 2026-04-24 | Retailers - other | TW9 3NG |
| Sebastians Italian | 1 (major improvement necessary) | 2026-04-20 | Restaurant/Cafe/Canteen | |
| Unique Coffee Bar | 1 (major improvement necessary) | 2026-04-13 | Restaurant/Cafe/Canteen | TW1 2DX |
| La Panier Plein | 2 (improvement necessary) | 2026-01-06 | Retailers - other | SW14 |
| Al-Nour Supermarket | 2 (improvement necessary) | 2025-12-18 | Retailers - supermarkets/hypermarkets | TW2 7LT |
| Kapucin | 1 (major improvement necessary) | 2025-12-09 | Restaurant/Cafe/Canteen | TW10 6UA |
| Gelata | 2 (improvement necessary) | 2025-11-12 | Restaurant/Cafe/Canteen | TW2 5AH |
| Sushi Manga | 2 (improvement necessary) | 2025-11-04 | Restaurant/Cafe/Canteen | TW12 2HP |
| Cafe Macarong | 1 (major improvement necessary) | 2025-11-04 | Restaurant/Cafe/Canteen | TW9 3PZ |
| Local Hero Teddington Ltd | 2 (improvement necessary) | 2025-10-28 | Restaurant/Cafe/Canteen | TW11 8HA |
| The Crane Tap | 1 (major improvement necessary) | 2025-10-28 | Restaurant/Cafe/Canteen | TW1 1AX |
| EnGrain Ltd | 2 (improvement necessary) | 2025-10-13 | Retailers - other | SW13 9LW |
| Twickenham Guest House | 1 (major improvement necessary) | 2025-09-30 | Hotel/bed & breakfast/guest house | TW2 7QT |
| Secret Recipe | 0 (urgent improvement necessary) | 2025-09-17 | Takeaway/sandwich shop | SW14 8AD |
| Teddington Mini Market | 1 (major improvement necessary) | 2025-09-10 | Retailers - other | TW11 9JD |
| St John's Superstore | 1 (major improvement necessary) | 2025-08-31 | Retailers - other | TW12 2AX |
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=Richmond-Upon-Thames&format=csv" \ -H "Authorization: Bearer YOUR_KEY"
Or connect an MCP client (setup) and call query_dataset with localAuthority: "Richmond-Upon-Thames". Google Sheets: =IMPORTDATA("https://datascoop.io/v1/datasets/fsa/query?localAuthority=Richmond-Upon-Thames&format=csv&api_key=YOUR_KEY").
1,032 of 1,578 food businesses in Richmond-Upon-Thames (65.4%) are rated 5 (very good), as of 2026-08-02.
33 food businesses in Richmond-Upon-Thames 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 Richmond-Upon-Thames was rated on 2026-08-02.
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.
