# United Kingdom Trade in Goods: Other crude materials (2OCM): Non-EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Other crude materials (2OCM): Non-EU: Imports: BOP: CVM: SA () was up 23.3% year on year in September 2026, compared with −45.2% in August 2026.
The level stood at 159.0 £m.
That is the highest reading since August 2025.
Over the past ten years it has ranged from −45.2% (Aug 2026) to 111.4% (Dec 2020), averaging 5.8%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SDCI.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-other-crude-materials-2ocm-non-eu-imports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 159.0 £m | 23.3 |
| August 2026 | 108.0 £m | −45.2 |
| July 2026 | 147.0 £m | 0.7 |
| June 2026 | 112.0 £m | −24.3 |
| May 2026 | 165.0 £m | 1.9 |
| April 2026 | 159.0 £m | 8.9 |
| March 2026 | 160.0 £m | −17.9 |
| February 2026 | 156.0 £m | 11.4 |
| January 2026 | 183.0 £m | 3.4 |
| December 2025 | 160.0 £m | −5.9 |
| November 2025 | 111.0 £m | −35.1 |
| October 2025 | 140.0 £m | −14.6 |
| September 2025 | 129.0 £m | −12.2 |
| August 2025 | 197.0 £m | 29.6 |
| July 2025 | 146.0 £m | 11.5 |
| June 2025 | 148.0 £m | −8.6 |
| May 2025 | 162.0 £m | 33.9 |
| April 2025 | 146.0 £m | −2.0 |
| March 2025 | 195.0 £m | 25.8 |
| February 2025 | 140.0 £m | 28.4 |
| January 2025 | 177.0 £m | 19.6 |
| December 2024 | 170.0 £m | 21.4 |
| November 2024 | 171.0 £m | 64.4 |
| October 2024 | 164.0 £m | 19.7 |

## API

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

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