# United Kingdom Trade in Goods: Food, beverages & tobacco (0and1): Non-EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Food, beverages & tobacco (0and1): Non-EU: Imports: BOP: CVM: SA () was down 2.6% year on year in September 2026, compared with −2.5% in August 2026.
The level stood at 1,821.0 £m.
Over the past ten years it has ranged from −24.1% (Dec 2023) to 34.4% (Mar 2025), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SDSE.MEASURE-CVM.PARTNER-NONEU`
- Frequency: monthly
- Units: £m
- Coverage: 1997-01-01 to 2026-09-01 (357 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/trade-in-goods-food-beverages-and-tobacco-0and1-non-eu-imports-bop-cvm

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,821.0 £m | −2.6 |
| August 2026 | 1,696.0 £m | −2.5 |
| July 2026 | 1,807.0 £m | −3.0 |
| June 2026 | 1,701.0 £m | −7.1 |
| May 2026 | 1,770.0 £m | −8.7 |
| April 2026 | 1,715.0 £m | −10.7 |
| March 2026 | 1,831.0 £m | 1.3 |
| February 2026 | 1,835.0 £m | 8.6 |
| January 2026 | 1,817.0 £m | 1.5 |
| December 2025 | 2,037.0 £m | 26.9 |
| November 2025 | 1,779.0 £m | −5.8 |
| October 2025 | 1,776.0 £m | 5.6 |
| September 2025 | 1,869.0 £m | 17.6 |
| August 2025 | 1,739.0 £m | 6.9 |
| July 2025 | 1,862.0 £m | 3.6 |
| June 2025 | 1,831.0 £m | 5.4 |
| May 2025 | 1,939.0 £m | 27.5 |
| April 2025 | 1,921.0 £m | 24.2 |
| March 2025 | 1,808.0 £m | 34.4 |
| February 2025 | 1,690.0 £m | 15.0 |
| January 2025 | 1,791.0 £m | 27.7 |
| December 2024 | 1,605.0 £m | 28.0 |
| November 2024 | 1,888.0 £m | 28.4 |
| October 2024 | 1,682.0 £m | 10.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SDSE.MEASURE-CVM.PARTNER-NONEU"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SDSE.MEASURE-CVM.PARTNER-NONEU",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```